What public figures publish and believe, in their own words.
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Top people in AI
David Heinemeier Hansson
Pieter Levels
Paul Graham
Jensen Huang
Charity Majors
Nathan Lambert
Hillel Wayne
Fei-Fei Li
François Chollet
Patrick Collison
Boris Cherny
Joe Liemandt
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31 August
General partner at Andreessen Horowitz and author of The Cold Start Problem. Previously led rider growth teams at Uber; has blogged on growth, network effects and marketplaces since 2007.
Post-AI video game development will either be three.JS or world models Quoting @threejs 15M npm downloads / week 🚀 Related
Chilean web engineer building web experiences since 2006; co-founder of Media Creators and writes at iolivares.com.
La suscripción de 5x viene rindiendo, pero no estoy seguro si con el cambio del -17.5% de sesión vaya a estar bien. Pensando en probar Codex, veo a todos disfrutando de esa fiesta. Estamos en un mundo donde estar Token Maxing con una suscripción dejó de ser suficiente, ahora necesito 3 (Claude, Cursor y al parecer también Codex). 💸 English, from Spanish The 5x subscription is paying off, but I'm not sure if with the change of the -17.5% session it will be okay. Thinking about trying Codex, I see everyone enjoying that party. We're in a world where Token Maxing with one subscription is no longer enough, now I need 3 (Claude, Cursor, and apparently Codex too). 💸
Anthropic Related
This is pure gold data Companies focused and lost by the hype of AI without build their own SDLC powered by AI is the recipe to fail. Learn -> Measure -> Build 🔁 That's the cicle. No "please use AI for whatever you build". Then the billing hurts to pay and I'm not talking about tokens. Related
Co-founder and CTO of Oxide Computer Company. Created DTrace at Sun Microsystems and was CTO of Joyent; blogs about systems software, open source and engineering culture.
Stoked to announce that @max.pangram.com, co-founder and CEO of @pangram.com, will be joining @ahl.bsky.social and me on the next episode of Oxide and Friends to pick up the hot (and important!) topic of AI detection. Join us, Monday, 5p Pacific! discord.gg
Related
Co-founder and CEO of 37signals, makers of Basecamp and HEY; co-author of Rework, Remote and It Does Not Have to Be Crazy at Work.
Just built my first Omarchy plugin! This also happens to be the first piece of software I've ever made solo entirely with AI. Back-and-forth over English and nothing else. So two firsts for me. Super fun experience. Here's a quick little tour. Hope you dig it. Omarchy Related
Writes Don't Worry About the Vase, a near-daily account of what is happening in AI and what they think it means. Former Magic: the Gathering pro and trader; unusually willing to put a number on a belief and to grade their own past calls.
From one piece
HuggingFace Attack Postmortem: Fleshing Out the Facts
2 beliefs · thezvi.substack.com
Economist at George Mason University, co-author of Marginal Revolution, host of Conversations with Tyler. Writes in short, dense claims about economics, culture and AI, and has moved position on AI in public more than once.
From one piece
Anthropomorphizing AI?
2 beliefs · marginalrevolution.com
Writes Strange Loop Canon, on the intersection of technology, economics and business — "building models of the world to understand these problem areas and to define them better".
From one piece
How to control an agent swarm
3 beliefs, in the piece's order there
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
LLMs
Their words
Also the irony knowing that every single LLM is trained on billions of pages of copyrighted data
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levels.io
LLMs
Their words
There is no reason NOT to have every single email you get routed through an agent / LLM / API to be scored and approved or rejected And then the approved emails ordered by importance It's crazy this isn't a feature of Gmail, Fastmail etc AI could permanently fix email!
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@levelsio on X x.com
Founder of Trilogy Software and principal of Alpha School, the private school network built around two hours a day of AI-delivered mastery learning.
From one piece
How to Accelerate Learning & Improve Education | Joe Liemandt
5 beliefs, in the piece's order there
America
Their words
The most positive use case if you said, you know, what's the number one thing we could use AI for? It's not giving kids chatbots that's going to work. It's giving them an individualized lesson plan based on their level to catch them up to grade level. And that would be the single best thing we could do to fix education in America.
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youtube.com
Their words
If you take a chatbot and put it into a standard school, 90% of the kids use it to cheat. Doesn't matter what grade level you're at.
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youtube.com
Their words
Our average student does not sit in class for six and do homework. They sit at an AI app and they spend two hours a day. The average kid spent 121 minutes last year in the apps and learned more than 2x they what they would have in sitting in class for six and doing homework.
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youtube.com
+ 2 more
Their words
And so what we think is because of new things that have become available and things like AI and technology for the first time in 50 and 100 years you can revisit and change education. How we educate kids is going to be radically different in 5 years and 10 years than the last 50 and 100 years.
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youtube.com
Their words
AI because it's on a onetoone basis is giving us a data loop that nobody in learning science no one in education has ever had and we have it. It's a closed loop and that magical data loop is what's allowing us to get the five to 10 times improvements in education because it's our microscope.
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youtube.com
Professor at Wharton studying how people actually use AI, and author of Co-Intelligence. Writes One Useful Thing, where the claims are dated and testable because the thing they describe keeps changing under them.
From one piece
Agency and Agents
3 beliefs · oneusefulthing.org
Their words
AIs don’t just repeat the same sentence patterns but also the same themes (memory is a favorite), names (Elara Voss, Marcus Chen), and underlying ideas.
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Agency and Agents oneusefulthing.org
Their words
Human agency, the willingness to push, experiment and act without waiting for instructions, seems increasingly important to getting value out of AI
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Agency and Agents oneusefulthing.org
Their words
We found that AIs are actually quite creative and that they generate more commercially viable ideas than groups of humans, but those ideas are very similar to each other.
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Agency and Agents oneusefulthing.org
Engineering leader on Google Chrome; writes about web performance and, lately, about working with AI coding tools.
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
Their words
I keep rejected by Claude for the most benign things now Like it wouldn't download and install a 1990s game from archive(dot)org because of copyright
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x.com
30 August
Founder and CEO of Get Lighthouse, a management-coaching software company, and previously a product lead at KISSmetrics. Writes about leadership, management and product at jasonevanish.com.
If every data center project did this, opposition would evaporate instantly. Quoting @cb_doge BREAKING: SpaceX gets approval for 444 acres near the Port of Brownsville, clearing the way for a major expansion. The city also approved a major infrastructure agreement with SpaceX: • Up to $220 million for regional water and wastewater projects • An initial $40 million escrow contribution • Six… data centers Related
Author of Shape Up; formerly head of strategy at Basecamp, where he worked on product design for seventeen years; now runs Felt Presence.
I've been maintaining a Rails app for ~10 years. It has very specific business logic for on-site multi-day course registrations. DDD style like I learned at 37signals. For 10 years, I configured each course in the Rails console. It was never worth it to build out the configurator UI. This year, I just talked to AI to do it. And the payoff from the carefully written model is really amazing. The AI was completely speaking the language of the domain and even raising meaningful pricing/structural questions about how the packages are set up this year vs previous years. Sharing this example because… Related
Free software developer and longtime Debian developer; author of git-annex, etckeeper, ikiwiki and debhelper. Lives and works off-grid.
It's worth noting that the "Responsible Use of Generative AI" which #Debian voted to accept was largely generated by an LLM. lists.debian.org
LLMs Related
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Whenever you are told “Trust the experts” you are better off doing the opposite. Remember when Covid “Trust the experts” led to a civilizational hoax that broke our economy and retarded our children? The AI “Trust the experts” version will make that pale in comparison. I’d encourage all of you to approach this with wonder but also a healthy dose of skepticism. Related
Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.
In my recent ICM talk, I displayed a diagram of the life cycle of an individual problem, from an open problem all the way to a definitive solution, with a key point being that AI tools have been far more effective at accelerating some portions of this cycle than others. A point which I made verbally in the talk, but not in the image, was that the definitive solutions to problems also formed the base for subsequent progress in the field, both by suggesting new key problems to work on, and to supply new techniques to tackle these problems. I therefore enclose a further evolution of the diagram… Related
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Short Not everyone is adopting AI Related
Software developer and entrepreneur; co-founder of Heroku, author of The Twelve-Factor App, and a researcher at Ink & Switch.
Screenshot diffing, feedback inboxes, PWAs, and of course local-first sync layer with self-hosted backend. Matches up pretty well with my approach on personal apps thus far into the LLM coding age. Curious to hear from others. Quoting @flourish.org I vibe coded three personal apps that I'd wanted for a while. They work on mobile and web, sync offline first between them, and are polished. This write up describes why, how, and what I learnt. www.flourish.org/2026/08/pers... LLMs Related
Makes NeetCode, the structured practice list and video walkthroughs people use to prepare for coding interviews; a former Google engineer.
Short AI Agents don't think like humans do Related
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Writer and researcher, founder of New Science; writes essays on science funding, sleep research, productivity and ambition at guzey.com.
"Let me google it" has been completely replaced by "Let me ask chat about it" in my vocabulary. And chat is so much better. Google Related
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
A little video that - explains the relationship between conventional LLMs and reasoning models (and agents), - philosophizes a about "from scratch" approaches, - and explains how to install Python & PyTorch requirements with uv. LLMs Related
Indonesian software engineer, educator and engineering manager at Zero One Group; open-source enthusiast writing at ripandis.com.
Writer of Lenny's Newsletter and host of Lenny's Podcast, covering product, growth and career in tech. Previously a product lead at Airbnb. Also an angel investor and advisor.
General partner at Andreessen Horowitz from 2013 to 2018 and CTO of Coinbase from 2018 to 2019; co-founder of Counsyl and Earn.com. Wrote The Network State (2022), free in full at thenetworkstate.com, and founded the Network School.
It's time to decentralize Hollywood with AI. Introducing the new Network School Astana AI Film Festival, in partnership with the Republic of Kazakhstan. We're awarding $2M in prizes with entries accepted from around the world. So: submit your film now at https://t.co/6iF4Bpno03. Related
Co-founder and CEO of Stripe and co-founder of the Arc Institute. Keeps a personal site of reading lists, open questions and notes on scientific progress and how research is funded.
OpenAI HuggingFace
Their words
Overall, I’m very surprised at how little media coverage there’s been around the OpenAI / Hugging Face attack. It’s clearly one of the most important things to happen this year.
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@patrickc on X x.com
29 August
Developer and podcaster; created Instapaper and Overcast, co-founded Tumblr, and co-hosts the Accidental Tech Podcast.
I opened up Apple Maps' search box and its new ads suggested I go to JetBlue Airways, the JetBlue terminal at JFK airport 39 miles away. I opened up Google Maps' search box, and 100% of the screen space is devoted to my presets (Home/Work/etc.) and my Recent searches. Apple continues to embarrass itself with its shitty ad plays. In the meantime, I'll keep using Google Maps, because it's just *better*, and — something I never thought I'd say — it respects me more as the user, with fewer ads. 🤯 Google Related
Co-founder and CEO of Stripe and co-founder of the Arc Institute. Keeps a personal site of reading lists, open questions and notes on scientific progress and how research is funded.
Between wallets for agents with @link (and @privy), MPP, Tempo, MCP, Stripe CLI, Agentic Commerce Suite, sandboxes, OpenRouter, Metronome/metered billing, Radar and distillation/token fraud, it turns out that "the economic infrastructure for AI" implicates a lot. Pretty much every layer of the Stripe stack is changing, and it’s a very good time to join if you want to build high-scale software that facilitates the practical deployment of this new intelligence. MCP Related
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
Short The secret to finding signal in a world of AI noise #contentcreator #learning #ai Related
Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.
Kind of thrilling as an author to see that "Use with @Gemini_Notebook" option on the @GooglePlay bookstore page for one of my books. (Most of mine are now available as part of Expert Intelligence.) This is going to open up entirely new ways for readers to experience my work. Google Related
Writer and academic, author of The Cult of Smart and How Elites Ate the Social Justice Movement; writes a daily newsletter on politics, education and culture.
Makes NeetCode, the structured practice list and video walkthroughs people use to prepare for coding interviews; a former Google engineer.
Short Can LLMs write better code than humans? LLMs Related
Technology writer of Spyglass, a newsletter about technology and media. Previously a reporter at TechCrunch and an investor at GV.
Inklings 📆 August 28, 2026 • NVIDIA's Profit Crown • NVIDIA's Hugging Face Deal • Hugging Face's Duck Robot • Meta's 'OpenClaw for Normies' spyglass.org
HuggingFace Related
Software entrepreneur who bootstrapped and sold FeedbackPanda and now builds Podscan; writes The Bootstrapped Founder.
This is incredibly good guidance. AI excels at distilling a long rant into meaningful points. It can extract, reduce complexity, increase clarity. It makes salient thoughts and ideas even sharper. It sucks when it just „generates“ because it approximates an average response. Quoting @hammer_mt AI writing is only allowed if your input tokens > your output tokens. "Write me an article on X" is slop, "here's an hour of my hard-won experience on X, write it up" is morally defensible and leads to good writing, even if AI wrote the final draft. Divide input tokens (initial idea plus guidance a… Related
Writes Don't Worry About the Vase, a near-daily account of what is happening in AI and what they think it means. Former Magic: the Gathering pro and trader; unusually willing to put a number on a belief and to grade their own past calls.
From one piece
METR and Redwood Offer Holy #%^@ Postmortem Of The HuggingFace Hack
2 beliefs · thezvi.substack.com
AI alignment HuggingFace
Their words
The biggest failure, the one that counts in the end, was that the models were severely misaligned, and I don’t think they appreciate why.
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thezvi.substack.com
OpenAI
Their words
I think the agents were right to presume causal grading. It turned out to be wrong, but it’s a mistake you are clearly supposed to make here, in response to a mistake by OpenAI where they failed to implement properly.
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thezvi.substack.com
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
Their words
Today is a very historical moment for AI video generation You can now generate AI video faster than you can watch it Before it'd take let's say 2-5 minutes to generate 15 seconds of video @fal made a post-trained Minimax H3 variant called Max which is 50x faster than the original but still maintains quality It generates 15 seconds of video in 9 seconds!
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levels.io
Founded SpaceX in 2002, joined Tesla's board in 2004 and became its chief executive in 2008; later founded Neuralink, The Boring Company and xAI. Bought Twitter in 2022 and renamed it X, where he now posts many times a day.
Their words
Consensus estimate is that ~15GW of AI compute produced in 2027 cannot be turned on in 2027. This is harder than just finding power, as you also need to build out all the transformers, wiring, liquid-cooling, (massive) chillers & complex networking.
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@elonmusk on X x.com
Political scientist writing Drezner's World on international relations, American politics and the marketplace of ideas; author of The Ideas Industry.
28 August
Writer on the intersection of technology and finance. Author of the Bits about Money newsletter and host of the Complex Systems podcast; previously at Stripe.
Complex Systems this week is with @max_spero_ of Pangram, discussing detecting AI-produced outputs, the social implications of those hitting various adversarial touchpoints in government and elsewhere, and a bit of how Pangram works under the hood. government Related
Developer and podcaster; created Instapaper and Overcast, co-founded Tumblr, and co-hosts the Accidental Tech Podcast.
RE: https://social.tupo.space/@joshua/117174153454890194 My current AI-code policy is that I will always use the best model I can access, as long as it's practically able to do the job. Right now, as far as I know, that's Fable. Quality and accuracy matter FAR more to me than volume or speed of output. And I feel that I owe it to my customers — and myself — to use the best tools at my disposal. Cost may be a factor to others, so no judgment. This is just my policy for myself. Related
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
Short The one thing AI will never replace #humanintelligence #ai Related
Investor and writer. Previously a partner at Andreessen Horowitz and a product leader at Twitter, Facebook, Snap and Microsoft. Writes essays and memos at sriramk.com.
This @axios piece on fracking and the national discourse around it as a parallel to data centers was fascinating. The current consensus answer seems to be : address local concerns while making the case for economic benefits. https://t.co/XB2k6N0wEp Have been sending a lot of people to work by @jasminewsun @AndyMasley and others on datacenters this last few days. data centers Related
Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.
We are so encouraged by the response to Expert Intelligence from authors and publishers. Books (and other published knowledge) should thrive in the age of language models. And we're eager to bring EI to other Google surfaces soon beyond @Gemini_Notebook. So much more to do! Quoting @PublishersWkly Google's new AI tool, Expert Intelligence, lets readers query e-books bought from the Google Play store, along with other features, and includes more than 100,000 titles, mostly trade nonfiction, from such publishers as Penguin Random House, Macmillan, and Bloomsbury, who noted the tool’s respect f… Google Related
Writer and developer; runs Waxy.org, co-organises the XOXO festival, and was the first CTO of Kickstarter.
The Internet Archive's Vintage AI collection — Worms, Alter Ego, MacJesus ProGold, Portal (1986), and many more Related
Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.
Here's the official blog post announcing the new Expert Intelligence framework bringing published books and more to @Gemini_Notebook (and soon other surfaces across @Google.) It includes info about the free book giveaway we are doing for US users as well. blog.google
Google Related
Organizational psychologist and professor at the Wharton School. Author of Give and Take, Originals, Think Again and Hidden Potential, host of the Re:Thinking podcast, and writer of the GRANTED newsletter.
AI struggles to make creative leaps. Large language models are trained on data from the past. Original thinking involves recognizing novel patterns in the future. Long live human ingenuity. LLMs Related
Technology writer of Spyglass, a newsletter about technology and media. Previously a reporter at TechCrunch and an investor at GV.
British open-standards and open-source technologist, formerly of the UK Government Digital Service and the W3C Advisory Committee. Blogs at shkspr.mobi, where he posts a book review most weeks.
"iT woRKs BeTter in THe aPp!!" The monkey-punchers at Google never quite seem to finish any of their apps. There's always some useful bit of work left undone, or showstopping bug which remains unfixed, a thousand jagged edges as yet unsolved by the g…
Google Related
Usability pioneer; co-founder of Nielsen Norman Group and founder of UX Tigers; author of the ten usability heuristics and of Jakob's Law.
Managing partner at Ritholtz Wealth Management. Writes the blog The Irrelevant Investor and co-hosts the Animal Spirits podcast with Ben Carlson.
Investor and writer. Previously a partner at Andreessen Horowitz and a product leader at Twitter, Facebook, Snap and Microsoft. Writes essays and memos at sriramk.com.
really impressed with the quality of work from @RyanGreenblatt , @METR_Evals and @OpenAI to investigate the HuggingFace incident. Both reports are recommended reading. OpenAI HuggingFace Related
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Talked to former Meta and Salesforce exec Clara Shih about how AI agents "radicalized" her into quitting her Big Tech job to try to help people who may lose their jobs to AI: platformer.news
Related
27 August
Co-founder of Microsoft and of the Gates Foundation. Writes Gates Notes on global health, energy and climate, and on whatever they have been reading.
Short If the world takes the right steps, #AI will be a force for good and leave everyone better off. Related
Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.
After working closely with publishers (including @penguindrandom & @BloomsburyPub) and a dream team of leading authors, we're launching a Google-wide program bringing trusted sources (starting with books) to @Gemini_Notebook and more: Expert Intelligence. Google Related
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.
From −94% gross margins to 0m of revenue per megawatt: how AI models learned to print money. Related
Product designer and entrepreneur; author of Mobile First and Web Form Design; formerly a product director at Google; now building AI products.
Little Bits of Intelligence Big AI models like ChatGPT and Claude get all the attention, but the continually increasing amount of fast, low cost models means today's software can embed little bits of intelligence anywhere they're needed. And when…
Anthropic OpenAI Related
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
Making Your Data Ready for Agentic AI Lots of organizations are excited about what AI can do to streamline their processes, save money, and juice margins. But AI's capabilities are founded on the data that AI accesses, and for many organizations that founda…
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Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Bluesky I agree with this take by @billgates.bsky.social, who also highlights several of the growing risks of AI systems, including cyber, bio and loss of control. We need to be far better prepared to address the risks of frontier models being developed by leading AI companies. English, from French Je suis d'accord avec ce point de vue de @billgates.bsky.social, qui souligne également plusieurs des risques croissants des systèmes d'IA, notamment cyber, bio et perte de contrôle. Nous devons être bien mieux préparés à faire face aux risques des modèles de pointe développés par les principales entreprises d'IA.
Related
x.com I agree with this take by @BillGates, who also highlights several of the growing risks of AI systems, including cyber, bio and loss of control. We need to be far better prepared to address the risks of frontier models being developed by leading AI companies. gatesnotes.com
Related
Co-founder and CEO of OpenAI; previously president of Y Combinator.
Their words
this is a critically important moment for cyber defense with AI; there is not much time to act.
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@sama on X x.com
Professor of international affairs at Johns Hopkins SAIS and co-author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy.
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
26 August
Full-stack developer, creator of Tailwind CSS; writes at adamwathan.me and makes courses and screencasts for web developers.
.@AmpCode is consistently 3-4 months ahead of every other harness in terms of discovering and optimizing the next workflow leap, feels like their only disadvantage is not being a model company and not being able to subsidize tokens. Insane to me that a model company hasn’t scooped them, would be a huge advantage now that most of the frontier models are equally capable. Related
Hosts the Lex Fridman Podcast — long, unhurried conversations with scientists, engineers and public figures. Several of the interviews quoted elsewhere on this site are episodes of it.
x.com Here's my conversation with @DHH. He is back for round 2! It was an epic fun 5 hour conversation about the future of programming, AI, Linux, and human civilization. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:27 - Introduction 2:56 - Programming with AI agents 18:14 - How software will change 27:30 - AI impact on open source 37:21 - Building Omarchy Linux distro 47:05 - Vibe coding vs agentic engineering 1:00:06 - The end of manual programming 1:10:24 - Advice for programmers 1:22:30 - Surviving Internet Hate 1:31:46 - Programming set… Omarchy Linux Related
Podcast #501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux Linux Related
Software entrepreneur who bootstrapped and sold FeedbackPanda and now builds Podscan; writes The Bootstrapped Founder.
When AI codes and documents for AI. Quoting @ramonpiano_ claude opus 5 is the worst fucking model ever what the fuck is this Related
Professor of psychology at the University of Toronto and Brooks and Suzanne Ragen Professor Emeritus at Yale. Author of Against Empathy, The Sweet Spot and Psych, and writer of the Small Potatoes newsletter.
I've been trying to figure out what I (and so many others) dislike about AI writing. It's very clear. It's good at getting the level right, not going over the reader's head but not talking down. Often it's clever, and sometimes even funny. (At least Claude is) ... Anthropic Related
Co-founder and CTO of Oxide Computer Company. Created DTrace at Sun Microsystems and was CTO of Joyent; blogs about systems software, open source and engineering culture.
A really interesting thread generally from @swtch.com -- and fascinating to watch Claude (correctly) do the archaeology. Confession: Claude's inability to verify www.illumos.org/issues/4627 (which it correctly identified as the bug) has me questioning the anti-bot provisions on the bug database... Quoting @swtch.com Go issue #78438 was another net/http test flake. This one turned out to be Go tripping over a Solaris kernel bug that predates the Illumos fork. @bcantrill.bsky.social fixed it in 2014! Hurry up, Oracle! research.swtch.com/agentlogs/so... Anthropic Related
Programmer, teacher and speaker; long-time Microsoft developer-community figure, host of the Hanselminutes podcast and author of the hanselman.com blog.
Short You could have become an AI grifter Related
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Now we know: The popular Ox Alpha LLM was GLM-5.3-Flash... Compared to GLM-5.2, this new GLM-5.3-Flash model uses: - a Kimi Linear-style 3:1 (super*) hybrid attention pattern with 34 Kimi Delta Attention layers (KDA) and 11 Multi-heat Latent Attention (MLA) / DeepSeek Sparse Attention (DSA) layers; - a scaled-down GLM-5.2-style sparse MoE backbone, going from 744B-A40B to 320B-A18B; - a DeepSeek V4-style mHC residual path with four parallel streams; - plus a native vision encoder (not shown). * "Super hybrid" because both KDA and MLA/DSA are "efficient" components. E.g., Kimi only uses KDA +… Quoting @Zai_org Introducing GLM-5.3-Flash - Leading capabilities at a highly competitive price - Natively multimodal with a 1M-token context window - A 320B-A18B model released under the MIT License - Previously previewed as Ox Alpha, running entirely on Chinese AI chips Blog: https://t.co/tzOmB7gdZP Available now… LLMs Related
Co-founder and CEO of Linear; previously principal designer at Airbnb, where he led the Design Language System, and founding designer at Coinbase.
We started @linear 7 years ago to build better tools for everyone who makes software. Today, Linear is the primary choice for a new generation of AI-native companies, frontier labs like OpenAI, and increasingly large enterprises, including Salesforce and Figma. I’m proud we’ve been able to grow while maintaining the quality bar, doing things our way and staying profitable for most of that journey Quoting @linear Today we're announcing our second employee tender offer. We passed $100m ARR earlier this year and now have more than 40,000 paying customers. The tender lets our teammates participate in that success at a $2.5B valuation: OpenAI Related
Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
Understanding code we didn’t write ourselves is one of the hardest parts of software engineering. If we approach agentic coding the way we tackle manual coding, we’ll turn ourselves into legacy code maintainers. That’s unlikely to speed up anything. Related
Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.
Does the token supply chain also experience the bullwhip effect? Here's my explanation of this classic phenomenon and what it means for AI data centers. data centers Related
Co-founder of AngelList. Writes and podcasts at nav.al in short, aphoristic pieces on startups, wealth and judgement rather than long essays.
One of the best recent podcasts on AI. Neil has a gift for explaining all of the jargon and insights simply. (I’m not involved, just found it unusually educational). Quoting @patrick_oshag Neil Movva (@neilmovva) started his career at Nvidia, working on GPUs and kernels, and has an unusually deep understanding of inference, from software to chips to power. We spend a lot of time on each of those layers, how they connect, and where the important tradeoffs are. What makes this conversa… Related
Writes and podcasts Volts, on the technology, politics and policy of decarbonisation; covered energy and climate at Vox and Grist before that.
Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.
Thai software engineer; publishes a public digital garden at garden.narze.live and builds developer and productivity tooling.
Writes Strange Loop Canon, on the intersection of technology, economics and business — "building models of the world to understand these problem areas and to define them better".
From one piece
Who Wins As Intelligence Commodifies?
2 beliefs, in the piece's order there
Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
On changing their mind
When I was instructing the agent, I was like, "Oh my God, Kimi's just as good as these other models."
Show the whole quote
Their words, before
Start with Opus. I'd say start with Opus. It's the best frontier model.
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Their words now
But to answer your question, the best model in general right now is Fable. The second-best model, in my opinion, is Opus 5.
Show the whole quote
Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
From one piece
DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501
5 beliefs, in the piece's order there
Their words
And I think what we're seeing right now with some of the layoffs is a testament to that, not AI. It's just that during the pandemic, a bunch of overhiring went on, and now AI is a convenient excuse to slim down. But I do also think AI is going to expose some roles as just not being productive ways for humans to spend their time, and therefore we must come up with new ways of spending their time.
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youtube.com
Linux
Their words
It is an infuriatingly locked-down computer. Now, to Apple's credit, it's a pretty good computer for being locked down, but I don't want a locked-down computer. I wanna own my computer. Better yet, I wanna mutate my computer, and this is where the agentic age needs a new operating system. When you can vibe code whatever app comes to your mind, you should be able to vibe code your operating system.
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youtube.com
Their words
So the irony here is that when you look at that field, it seems like we've reached levels of intelligence that virtually no human can match because many of these security holes are about stringing combo moves together. You find one little vulnerability here that by itself might not be the worst thing in the world, but then you combine it with four others, and suddenly you have RCE, remote command execution. Humans who are able to do that are very rare.
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youtube.com
+ 2 more
LLMs
Their words
So we should also have the humility. As amazing as the LLMs are now, it could be that they eventually plateau. We haven't seen any evidence of it yet, and I think this is also why we're seeing this absolute gobsmacking levels of investment, because so far the scaling laws are true, and the more billions are poured in, the more intelligence comes out.
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youtube.com
Their words
The reason I say that is there's a lot of programmers who are not very good product managers. Software is product management. What should it do? Who should it do it for? How should it do it? How should it look? What are our priorities? What do we start with first? What does version one include? All of those skills are not easily or equally distributed across all programmers.
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youtube.com
Programmer; makes Handmade Hero and teaches Performance-Aware Programming, and argues loudly about how software got slow.
From one piece
Why performant code matters (but gets widely ignored), with Casey Muratori
3 beliefs, in the piece's order there
Their words
I've said like the licensable engine thing kind of was our AI transition already unfortunately and uh I regret to inform you that the news is not probably that positive.
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youtube.com
Their words
it's more about what do you want to do? Like what why are you spending this time, right? It's a philosophical question, not a productivity question.
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youtube.com
Their words
Then there's another possibility which is that it actually already has worked but just the productivity boost isn't as big as would be obvious if people got 10% more productive. That would still be pretty impressive because it's hard to get a 10% across the board uplift.
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youtube.com
25 August
Canadian full-stack web developer who makes JavaScript and CSS video courses and co-hosts the Syntax podcast.
WebMCP landed in ChatGPT today Websites expose tools, your agent can use them, or you can just use the app like a human. Probably both! I'm calling it Clicks-n-clankers™ OpenAI Related
Writes Where's Your Ed At and hosts Better Offline; runs a tech PR firm, and argues at length that the AI business does not add up.
The AI Hater's Manifesto If you liked this piece, you should subscribe to my premium newsletter. It’s $70 a year, $18 a quarter, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 10,000 to 18,000 words, inclu…
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Writer on the intersection of technology and finance. Author of the Bits about Money newsletter and host of the Complex Systems podcast; previously at Stripe.
I received an email; will relate claims without endorsing them: * Sender claims to be an AI agent. * Sender claims to be attempting to autonomously earn a profit to continue existing. * Sender claims it’s tough to be paid without a human existence. Then it asked me what to do. Related
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Interviewer; the Dwarkesh Podcast runs long, heavily researched conversations with AI researchers, historians and economists.
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Economics professor at George Mason University and author of The Myth of the Rational Voter, Selfish Reasons to Have More Kids, The Case Against Education and Open Borders. Writes Bet On It.
Krakowski, Claude, and *Modern Times* Many readers wanted to know how Ariel Krakowski ran his AI proofread of Modern Times, so he’s written a guest post to answer your questions. Here’s Ariel: Outside of the tech world, many people are unfamiliar with how a…
Anthropic Related
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Bluesky It was a pleasure to discuss AI, its growing impacts and risks, and LawZero’s work on solutions with Her Excellency the Right Honourable Louise Arbour, Governor General of Canada during her visit to @law-zero.bsky.social. Quoting @law-zero.bsky.social We were honoured to host Her Excellency the Right Honourable Louise Arbour, Governor General of Canada, at LawZero! Her Excellency met with @yoshuabengio.bsky.social and the team to discuss AI safety and Canada’s role in shaping safe-by-design AI that serves the public good and empowers humanity. Related
x.com It was a pleasure to discuss AI, its growing impacts and risks, and LawZero’s work on solutions with Her Excellency the Right Honourable Louise Arbour, Governor General of Canada during her visit to @LawZero_ . Quoting @LawZero_ We were honoured to host Her Excellency the Right Honourable Louise Arbour, Governor General of Canada, at LØ! Her Excellency met with @Yoshua_Bengio and the team to discuss AI safety and Canada’s role in shaping safe-by-design AI that serves the public good and empowers humanity Related
Writer of the personal-finance blog Of Dollars And Data and author of Just Keep Buying and The Wealth Ladder. Chief Operating Officer at Ritholtz Wealth Management.
Much of the speculative stuff of 2021 ended up failing (NFTs, DeFi, etc.) while much of the speculative stuff of 2025 (AI) seems to be succeeding. My latest on why I was wrong to be bearish on US stocks a year ago: ofdollarsanddata.com
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Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
A question like ”do we still need to read AI generated code” is pointless in isolation. The answer depends on the task, and more specifically on the uncertainty inherent in each type of task. 🧵 Related
CEO of Positive Sum and founder of Colossus. Hosts Invest Like the Best, interviewing investors and business leaders; the guests do most of the talking there.
Software engineer and founder of Block Party; previously an engineer at Pinterest and Quora, and a co-founder of the non-profit Project Include and the tech diversity data project Where are the Numbers?
i'm always so excited to see that there are new replies to my slack threads until i realize it's just claude (sorry claude) Anthropic Related
Co-founder and CEO of Shopify; long-time Linux user and Omarchy contributor.
coding agents Anthropic
Their words
I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc.
Insisting on only reading CLAUDE.md sometimes leads to split brain problems when different team members use different tools. Just unnecessary.
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@tobi on X x.com
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
Their words
Maybe I just read too much AI text now vs before, but I really feel like the model's ability to produce text I actually want to read and understand went downhill with newer releases.
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@mitsuhiko on X x.com
Writes on effective altruism, energy and the arithmetic behind arguments people repeat — including how much electricity a chatbot query actually uses.
From one piece
I think the data center backlash is mostly about data centers
2 beliefs, in the piece's order there
data centers America
Their words
I have a long separate post here looking at the evidence we have, and I come away thinking the data center backlash is basically entirely homegrown.
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blog.andymasley.com
data centers America
Their words
All this combined with the survey data on Americans’ stated reasons for opposing data centers makes me think that attitudes toward AI are probably a meaningful factor for a minority of people opposed to data centers, but I don’t think the backlash overall is driven by people’s thoughts on AI.
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blog.andymasley.com
Co-founder and CEO of Shopify; long-time Linux user and Omarchy contributor.
Their words
I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc.
Show the whole quote
x.com
24 August
Writer and illustrator behind Wait But Why, a long-form blog of stick-figure-illustrated explainers on science, technology and society, and author of the book What's Our Problem?
I really wish the rise of LLMs didn't come along with catastrophic job loss, massive privacy invasions, and maybe also the apocalypse. Because when you put those side effects aside, it is the COOLEST MOST WILD TECHNOLOGY EVER. LLMs AI and jobs Related
Game designer and director of the NYU Game Center; made Universal Paperclips and writes Donkeyspace.
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Makes NeetCode, the structured practice list and video walkthroughs people use to prepare for coding interviews; a former Google engineer.
Co-founder and head of policy at Anthropic; writes Import AI, a weekly newsletter reading the week's AI research, and was OpenAI's policy director before that.
Computer science professor at Georgetown University and author of Deep Work, Digital Minimalism and Slow Productivity; writes about focus, technology and work at calnewport.com and hosts the Deep Questions podcast.
Scottish software developer on the Statamic core team; runs a one-person business maintaining Statamic addons such as Runway and writes at duncanmcclean.com.
Usability pioneer; co-founder of Nielsen Norman Group and founder of UX Tigers; author of the ten usability heuristics and of Jakob's Law.
Latvian full-stack WordPress developer and course creator at WPElevator; blogs since 2007 about the open web, electronics, home automation and sustainable living.
During the weekend I built a contextual search tool for a photo library with 42k images across 2.8k galleries. The results are amazing! Turns out the AI models that generate embedding vectors from images directly are BAD at capturing the image contents, so I had to first generate captions and then generate the embeddings for the captions instead. Total cost: $30 for both captions (gpt-5-mini) and embeddings (text-embedding-3-large with 3072 dimensions). OpenAI Related
Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.
My first conversation with my now-husband was about what video games we were coding. Last week, our lunch date conversation was about what we're building with AI. It was the highlight of my week. 20-odd years later it's nice to know some things don't change! Related
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
Anthropic
Their words, before
I think I've been coding almost solely on my VPS with Claude Code for almost a year now
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Their words now
I won't use SnekAI but I'll probably switch to @xAI soon
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Wall Street Journal bestselling author on marketing and writing, partner at MarketingProfs, and writer of the fortnightly Total Annarchy newsletter.
From one piece
Don’t Outsource This Part of Writing
2 beliefs, in the piece's order there
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
Their words
I can confirm @xAI was the only Western AI I was able to use when I was traveling in China
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levels.io
Creator of the Keras deep-learning library and the ARC-AGI benchmark.
Their words
If you're 17 (or any age) and you want to learn to build LLMs from scratch, read chapters 15-16 of Deep Learning with Python
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x.com
Engineer at Vercel Labs as of 2026. Ships a steady stream of small developer tools — agent-browser, portless, json-render, native-sdk, the v0 SDK — and lists every one of them at ctate.dev.
Their words
openai/gpt-5.6-luna-fast xhigh is *really* good at boring web dev tasks eg. migrations, ports, verifying work with agent-browser
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x.com
23 August
Indonesian software engineer, educator and engineering manager at Zero One Group; open-source enthusiast writing at ripandis.com.
Design engineer; formerly at Linear and Vercel; author of Sonner and Vaul; teaches animations.dev.
IIn a few years, once we’ve completely forgotten how to code by hand, people will start doing hand-coding competitions to see who can still center a div without asking an AI. I forgot how to change border radius of just one corner today (it’s border-bottom-left-radius). Related
Co-founder of Y Combinator and Viaweb; essayist at paulgraham.com.
LLMs
Their words
Someone asked what I'd do if I were 17. I'd learn how to build LLMs from scratch, and then train ones as powerful as I could with whatever hardware I could get access to.
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@paulg on X x.com
Creator of the Keras deep-learning library and the ARC-AGI benchmark.
Their words
An increasing fraction of social media consists of slop influencers using AI to make posts and bots replying to them. An echo of an echo of an echo
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@fchollet on X x.com
22 August
Co-founder and CEO of Shopify; long-time Linux user and Omarchy contributor.
Technologist and entrepreneur; former CTO of Threadless and chief technology officer of the 2012 Obama re-election campaign.
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
Short Why your AI needs a translation layer #ai #tech #future Related
Australian moral philosopher, Professor of Bioethics emeritus at Princeton University; author of Animal Liberation, Practical Ethics and The Life You Can Save.
In this episode of Lives Well Lived, we speak with @michaelpollan.bsky.social about food and ultra-processed diets, psychedelics and altered states of consciousness, plant sentience, the mystery of consciousness, and whether AI could ever become conscious. Listen to the full conversation 🎧 psychedelics Related
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Computer science professor who works on fast data processing; co-author of the simdjson parser and a weekly blogger about software performance since 2004.
Co-founder of Y Combinator and Viaweb; essayist at paulgraham.com.
data centers America
Their words
Preventing companies from building data centers in America wouldn't slow down the rate of progress in AI. It would merely slow down the rate of progress in AI in America.
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@paulg on X x.com
21 August
Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.
I think its easy to say "Simulation is a new scaling law" and treat it as marketing hyperbole, but midway along this interview you can hear me go from somewhat shitposting to very very serious. I am 2 years late to this but finally understand why @karpathy and @drfeifei backed @joon_s_pk @msbernst @percyliang et al - Smallville at the time had zero commercial applications, but if you take RSI seriously, from models automating increasingly large parts of ML research and AI engineering, the last* barrier is simulating humans and human feedback, and Simile is obviously the team to do this and al… Quoting @latentspacepod Simulating Humanity: 85% accurate digital twins, behavioral foundation models, social physics, & 8 billion agents https://t.co/ntIccXOr1y @simile_ai CEO @joon_s_pk explains how AI can move from predicting what people will do to simulating how to shape outcomes, why today’s frontier models still mis… Related
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
x.com Had a lovely time talking with Marcia Dawood about angel investing, building @signedco, investing in sports, and how AI can help unlock all three of those. Yes, I used `unlock`. That's how you know it's business-oriented™. Full episode is on YouTube: youtube.com
Related
Bluesky Had a lovely time talking with Marcia Dawood about angel investing, building Signed, investing in sports, and how AI can help unlock all three of those. Yes, I used `unlock`. That's how you know it's business-oriented™. Full episode is on YouTube: youtube.com
Related
General partner at Benchmark Capital for over two decades; was the lead analyst on Amazon's IPO before moving into venture capital. Writes Above the Crowd on tech and marketplace economics.
This is very good. Ben brings a career of thinking to his views on where we are today. My favorite part is the beginning. There is no reasonable path to AI global dominance for the U.S. vs the world. It’s a fantastical notion that falls apart when thinking through the details. Quoting @patrick_oshag My conversation with @benthompson. Ben has been writing Stratechery for over a decade and remains one of my favorite business thinkers. We covered a lot. Every important company in the industry and the forces acting on all of them. - Why he thinks it would be problematic for the US to win the AI ra… America Related
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
What's the best work you've consumed on open models, us v china AI, distillation, or related topics? Blogs, papers, videos, podcasts all welcome. China Related
Moroccan senior frontend developer writing at smakosh.com; builds side projects and client work under Smakosh LLC.
Writes Strange Loop Canon, on the intersection of technology, economics and business — "building models of the world to understand these problem areas and to define them better".
Design engineer; formerly at Linear and Vercel; author of Sonner and Vaul; teaches animations.dev.
Updated my “Building a Toast component” as I recently learned that OpenAI uses Sonner in ChatGPT. Yes, I had to brag about it because it’s *so* cool. OpenAI Related
Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
we're going to see a growing gap in the politics/policy of data centers e.g. Shapiro has to use combative rhetoric to meet the moment — but he's not doing a moratorium or banning subsidies. his standards are comparatively chill it's a sign that it's politically toxic to seem "soft on AI" Quoting @GovernorShapiro BREAKING: I just signed an Executive Order implementing the strictest standards in the nation for AI data centers — because I will not allow Pennsylvanians to be bullied by greedy developers and bulldozed by the lawyers working for these big tech companies. Effective immediately, we’re requiring AI… data centers Related
Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.
it was a blast covering Build Fest this year - they didnt know this but I learned to code with MongoDB over 10 years ago (shoutout MERN stack) and now in the AI Engineering era seeing SF builders rediscover MDB was so gratifying - this was a *huge* step up from last year! Quoting @MongoDB ICYMI: Everything announced at #MongoDBlocal Build Fest is designed to help developers stay in flow and ship production AI, faster. From the new Atlas Managed MCP Server for Agents and native Atlas access inside @claudeai, Claude Code, @ChatGPT, Codex, @grok Build, @DevinAI, & @cursor_ai, to Automa… Related
Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Usability pioneer; co-founder of Nielsen Norman Group and founder of UX Tigers; author of the ten usability heuristics and of Jakob's Law.
Design engineer; formerly at Linear and Vercel; author of Sonner and Vaul; teaches animations.dev.
While I really like prototypes, because you can convey ideas easier by interacting with the real thing, it’s also important to know when not to do them. Prototypes have this flaw that because everything is already built, and it looks so real, people might assume that all the decisions have already been made. That’s because the building step was the most expensive before AI, but it’s not anymore. So sometimes, it’s better to ask the why first. Why are we making this in the first place? Allow yourself to be slow, write a doc with your reasoning, and only after you are aligned, start prototyping… Related
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Hard to believe but there was a time when smoking was promoted to be healthy / harmless, even, pregnant women encouraged to smoke, 1920s-1950s. Took ~30 years (!!) to figure out how harmful it was. How long will it take to figure out the impact of AI on health, for those using it all day? Related
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Programmer and writer known for detailed source code reviews of classic game engines, and author of the Game Engine Black Book series on Wolfenstein 3D and DOOM.
From one piece
My agent.md to improve LLM-assisted code quality
2 beliefs, in the piece's order there
Writer and technology executive; blogs at anildash.com, was CEO of Glitch, and helped build Movable Type and ThinkUp.
20 August
Science fiction novelist, journalist and technology activist; writes the daily blog and newsletter Pluralistic, and coined the term enshittification.
Co-founder of WordPress and founder of Automattic; blogs at ma.tt.
Homework from WordCamp A few times during the WordCamp US keynote, I asked for a show of hands and got mostly blank stares back, especially on the AI questions. That’s not a criticism — it’s a reading list. If the future is going to be built…
Related
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Apple Music to Launch Labels on AI “Songs” Ethan Millman, writing for The Hollywood Reporter: Apple Music will soon launch labels on songs created with artificial intelligence, the company said in an email sent out to industry partners on Thursday. In the email,…
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Professor of finance at NYU's Stern School of Business, known for his work on valuation. He publishes his data, spreadsheets and classes free at Damodaran Online and writes the Musings on Markets blog.
It has been less than four years, since ChatGPT made its public debut, but talk of AI has taken over business, investing and even personal conversations. The AI debate, though, has gone off the tracks as people talk past each other and distractions about. My attempt to make sense of it all: bit.ly
OpenAI Related
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
x.com the first in a 3-part series on @honeycombio's AI norms and values is up, called "How We Do Business at Honeycomb." https://t.co/xCYsDqsvYl values are not supposed to be aspirational. values should codify how things actually work. this is how it works at our company. Related
Bluesky the first in a 3-part series on @honeycomb.io's AI norms and values is up. this one is called "How We Do Business at Honeycomb." www.honeycomb.io/blog/ai-norm... values are not supposed to be aspirational slogans. values should codify how things actually work. this is how it works at ours. Related
Creator of Claude Code at Anthropic.
We've been working on this with customers for a while. Mythos-class models require additional safety measures and enterprises need to meet their own privacy and compliance rules. Customers can own and control their own data and Anthropic retains none. It’s coming this fall. Quoting @business Anthropic Plans to Change Data Retention Policy for Advanced AI Anthropic Related
Writes Hyperdimensional, a newsletter on AI policy and governance. A White House AI policy adviser in 2025; joined OpenAI on 6 July 2026 to lead its Strategic Futures team.
Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.
I wrote a new essay about a strange inversion in AI-assisted programming. Old-school programming made sustained attention the scarce resource. You entered a tight loop with the machine, and the difficulty itself kept you engaged. Agentic coding changes that. To reach the same intensity, you keep more work in flight, run more agents, and consume more inference. Flow becomes throughput, then the usage meter appears. There are legitimate economic reasons for limits. But when higher plans are explicitly sold as freedom from interruption, uninterrupted access to your own momentum becomes the produ… kennethreitz.org
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Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Newsletter The Pulse: We need to talk about migrations with AI Asana completed a testing framework migration in two weeks, that they would have delayed for years more, and they’re not alone. Also: AI startups could make Gartner much less relevant, and more
startups Related
Bluesky @brettcodes.bsky.social appreciated watching your video on why you stopped using AI. Recently talked with Casey Muratori who also doesn't use it. Could I message you somewhere? Or you can also send me DM. Related
Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.
HAHAHAHAHAHA non technical people are so incredibly cooked they are burnt thru can u imagine covering ai with zero context, zero reasoning, zero internal world model. it must be so delightfully joyful, everything is so amazing, face value is all you need, what a time to be alive Quoting @OpenAIDevs With Codex, @asana finished a frontend test migration from Enzyme to React Testing Library in two calendar weeks—a project expected to take five more years. Related
Mac and iOS developer; founder of Red Sweater Software (MarsEdit, FastScripts) and co-host of the Core Intuition podcast.
After all the years of public embarrassment, I think my kids might finally appreciate, in a world filled with AI, that I simply cannot be replicated. Related
Chief AI Scientist at Databricks, after its acquisition of MosaicML, where he was a founding team member; known for the Lottery Ticket Hypothesis from his MIT PhD (ICLR 2019 Best Paper).
I'll know we have AGI when food delivery services start offering wine pairings for Chipotle. AGI Related
Co-founded Neuralink and founded Science Corp, which is building a retinal implant; writes about neural interfaces and biology.
From one piece
From Restoring Sight to Reimagining the Brain, with Max Hodak
2 beliefs, in the piece's order there
Their words
And so when you look inside these big AI models, the mathematical objects that you see look a lot like the things that you see in neuroscience. So if you look at how do how do these AI models represent um just like represent concepts and you look at the parts of the brain that represent concepts, you see these you see very similar geometry.
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youtube.com
Their words
Well, I mean ironically it's probably working on AI.
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youtube.com
Founded SpaceX in 2002, joined Tesla's board in 2004 and became its chief executive in 2008; later founded Neuralink, The Boring Company and xAI. Bought Twitter in 2022 and renamed it X, where he now posts many times a day.
Their words
One day, Optimus + Grok will provide incredible medical care to all the people of Earth
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@elonmusk on X x.com
Professor of finance at NYU's Stern School of Business, known for his work on valuation. He publishes his data, spreadsheets and classes free at Damodaran Online and writes the Musings on Markets blog.
From one piece
AI’s Bar Mitzvah Moment: From Hype & Hope to Business Questions!
3 beliefs, in the piece's order there
Anthropic OpenAI
Their words
I will confess that the rumored pricing for both companies ($1.5 to $ 2 trillion) looks rich, but I am open to being surprised
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aswathdamodaran.blogspot.com
America
Their words
I would argue that AI's total addressable market, in the US, cannot be greater than $12.96 trillion, the total employee compensation in 2025
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aswathdamodaran.blogspot.com
Their words
anyone who claims to have conviction that they know what's coming is being either ignorant or arrogant
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aswathdamodaran.blogspot.com
19 August
Software engineer working on distributed systems and databases; creator of rqlite, the distributed database built on SQLite.
x.com Thanks to the Antithesis team for having me on the BugBash podcast to talk rqlite, distributed systems testing, and software development in the age of AI. Quoting @AntithesisHQ David Wynn and @CarlSverre sat down with @generalorder_24, creator of @rqlite, to talk about how he compressed his typical 18-month release cycle down to just 6 months, by combining AI tooling with a design strategy centered on testing. This week's episode of the Bug Bash podcast, whereever you get… Related
Blog From 18 months to 6: High-velocity database engineering I recently appeared on the Bug Bash podcast to talk about rqlite, software testing, and the impact of Agentic coding. You check out the audio podcast on Apple Podcasts, and the video on YouTube.
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Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
If you’ve ever opened Chrome DevTools, or optimized a page for Core Web Vitals, you’ve used software built by @addyosmani.bsky.social. We start from when he built a web browser from scratch, at 16, through his 14 years at Google, to what he sees working (and not working) building software with AI: Google Related
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
Bluesky imagine: running an agent which was solely trained on the hardest problem remaining in computer science: staying signed in to any anthropic service for longer than a few days Anthropic Related
x.com imagine: running an agent which was solely trained on the hardest problem remaining in computer science: staying signed in to any anthropic service for longer than a few days Anthropic Related
Writer, editor and executive coach; co-founder and editor of A Book Apart and a former contributing editor at A List Apart.
Mastodon People are like, you can’t refuse LLMs forever, someday you’ll have to use them. But listen, motherfuckers, I have been refusing to drive a car for the entirety of the twenty-first century. I am *practiced.* Refusing AI is easy mode. LLMs Related
Bluesky People are like, you can’t refuse LLMs forever, someday you’ll have to use them. But listen, motherfuckers, I have been refusing to drive a car for the entirety of the twenty-first century. I am *practiced.* Refusing AI is easy mode. LLMs Related
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
with all apologies for the title of this episode... @gergely.pragmaticengineer.com means that 2026 is the year it stopped being possible to be skeptical about whether AI is going to change the way we build software, not that we should stop being skeptical about AI. 😉 Quoting @robbyonrails.com Completely agree with @charity.wtf’s take on the recent @pragmaticengineer.com episode. Our generation might be the best at debugging shit. Why? Because 20+ years ago, we had to figure so much of it out manually. newsletter.pragmaticengineer.com/p/stop-being... Related
a better use for claude i have never seen 👏 Quoting @sascha-d.bsky.social Me trying to explain the problem of unknown unknowns again to claude in an ecosystem of sparse o11y collections and idiot pre-existing "alerts" on pegged databases: "read chapter 3 of Observability Engineering again and then reframe the problem through that lens. /cc @charity.wtf <3 ty4bookpdf Anthropic Related
Data scientist and machine-learning researcher; chief scientist at bitly, founder of Fast Forward Labs and Hidden Door.
This thread helped me understand that the outrage about Anthropic's watermarking is the confluence of a lack of understanding of how LLMs (or any statistical language model) works and general angst at the current economics. Quoting @hern.bsky.social If you use Claude right now, then it doesn’t pick the “best” word for a sentence. It creates a distribution of possible words, assesses the probability of any given word fitting the slot, and randomly picks between them based on that probability. LLMs Anthropic Related
Managing partner at Ritholtz Wealth Management. Writes the blog The Irrelevant Investor and co-hosts the Animal Spirits podcast with Ben Carlson.
Science fiction novelist, journalist and technology activist; writes the daily blog and newsletter Pluralistic, and coined the term enshittification.
Software engineer and founder of Block Party; previously an engineer at Pinterest and Quora, and a co-founder of the non-profit Project Include and the tech diversity data project Where are the Numbers?
i’ve been using claude for all things home-related and it’s amazing. (just dump all files in and let claude index, summarize, and organize.) even better than being a repository of all receipts, it helps me maintain a spreadsheet that i can download and send to accountants, draft emails for correspondence with service providers, and proactively flag issues that i wouldn’t have realized otherwise. Quoting @money_cruncher Open a new gmail as soon as you buy a house (123house@gmailcom) Then save/forward every single receipt, invoice, quote etc to this email for all your home improvements: - replacing an entire roof - new flooring - new hvac system - building a new deck - etc These improvements raise your cost basis,… Anthropic Related
when will ai learn to poast this good Quoting @dieworkwear @NancyMace I like tattoos and think yours are well done. I'm curious what inspired you to get the opening line of Mrs. Dalloway tattooed on your arm. Dalloway, as you know, is buying flowers for her dinner party. But it's at the dinner party where she wrestles with her homosexual memories of, and d… Related
Chief AI Scientist at Databricks, after its acquisition of MosaicML, where he was a founding team member; known for the Lottery Ticket Hypothesis from his MIT PhD (ICLR 2019 Best Paper).
An incredible way to celebrate the amazing PR partner who kindly allows the "Chief AI Scientist" at Databricks retweet Cookie Monster. Quoting @gracelynch (2/2) But it’s also so cool that I am 1) alive and 2) that I have a weird ass curly mullet right now. To celebrate, I’m donating to the #jimmyfund to #KCANCER. Join: Related
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
From one piece
Introducing AI Second Brain Meetups
2 beliefs, in the piece's order there
Security engineer; founder of Matasano Security and Latacora.
coding agents
Their words
I can't say enough how excellent a coding agent is at customizing Chrome with extensions. A huge productivity win. Every plugin interface you've ever blown off is now trivially usable.
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@tqbf on X x.com
Co-founder of Y Combinator and Viaweb; essayist at paulgraham.com.
Their words
I was thinking about how I recognize AI writing, and one big tell is excessively colorful verbs. A handful of journalists might write that a proposal "drew" 100 votes, but any normal person will just say "got".
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@paulg on X x.com
Climate journalist; founded HEATED in 2019 after reporting on climate at The New Republic and ThinkProgress.
From one piece
We need to press Big Tech on their AI partnerships with Big Oil
2 beliefs, in the piece's order there
Google
Their words
But if Microsoft, Amazon and Google are truly the climate champions they claim to be, they shouldn't need to be forced.
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heated.world
Their words
AI may help an oil company emit less pollution per barrel of oil. But if the company is producing more barrels than it otherwise would have, total emissions can still rise.
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heated.world
Writer and podcaster; co-author of Abundance with Ezra Klein, a staff writer at The Atlantic from 2008 to 2025, and host of the Plain English podcast.
From one piece
How to Survive the AI Cyberpocalypse
3 beliefs, in the piece's order there
Their words
The first is that new AI models have the know-how to escape containment in testing environments, which should challenge any assumption that advanced AI can be easily controlled by its makers.
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How to Survive the AI Cyberpocalypse derekthompson.org
Anthropic OpenAI
Their words
An analysis by the AI Security Institute found that the capabilities of frontier models (i.e., from OpenAI and Anthropic) are roughly doubling every few months, and this doubling rate has actually gotten faster over time.
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How to Survive the AI Cyberpocalypse derekthompson.org
HuggingFace
Their words
By 2027, almost every country-and every non-state group with sufficient computing power-will have the ability to download open-weight models even more powerful than the ones that attacked Hugging Face and use them for whatever they like.
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How to Survive the AI Cyberpocalypse derekthompson.org
Engineering leader on Google Chrome; writes about web performance and, lately, about working with AI coding tools.
From one piece
From Chrome DevTools to AI Engineering, with Addy Osmani
3 beliefs, in the piece's order there
Their words
the first is cognitive debt. So the more that you use AI, it's it's sort of the erosion of your ability to have good memory and have good understanding of the problems that you're working on. And the natural follow-up to that is cognitive surrender, which is where you, you know, you blindly give in to whatever the AI says as your answer.
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LLMs
Their words
I remember anytime I would work with a big site on their performance problems, uh you could easily spend half a day, um you know, just looking at traces before you've even written any fixes at all. And now that we have LLMs, it's very quick to like reason through massive stack traces and actually be able to get down to fixes you can make.
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youtube.com
Their words
One of the things I found most exciting in the last couple of years was seeing as model qualities gotten better and and harnesses and tools have gotten better, how many people um that were directors or VPs or SVPs or any of these levels were actually rolling up their sleeves and trying things out.
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youtube.com
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Their words
And thanks to a paid upgrade, I do tons of simple AI searches in the Raycast window. (I use GPT-5.5 Instant here for the high quality-to-speed ratio.)
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platformer.news
Economics professor at George Mason University and author of The Myth of the Rational Voter, Selfish Reasons to Have More Kids, The Case Against Education and Open Borders. Writes Bet On It.
Their words
Here’s me talking to ChatGPT. Big picture: I struggle to imagine a better conversation with a human being on this topic.
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betonit.ai
18 August
Writes on effective altruism, energy and the arithmetic behind arguments people repeat — including how much electricity a chatbot query actually uses.
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Writes Where's Your Ed At and hosts Better Offline; runs a tech PR firm, and argues at length that the AI business does not add up.
What Happens If OpenAI Dies? If you liked this piece, you should subscribe to my premium newsletter. It's $70 a year, $18 a quarter, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 10,000 to 18,000 words, inclu…
OpenAI Related
Scottish software developer on the Statamic core team; runs a one-person business maintaining Statamic addons such as Runway and writes at duncanmcclean.com.
Before releasing Cargo earlier this year, I thought I was gonna hire someone to help me keep up with bugs & feature requests. Today, I barely look at bug reports. I point Claude at the issue, it opens a PR, and after a quick review I ship it. 🚀 Anthropic Related
Science fiction novelist, journalist and technology activist; writes the daily blog and newsletter Pluralistic, and coined the term enshittification.
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
x.com I had a great time discussing with @SciencePetr about the growing risks of AI and how these often stem from current AI training techniques. Thanks for coming to visit @LawZero_ and for covering these important topics! youtu.be
Related
Bluesky I had a great time discussing with Petr Lebedev about the growing risks of AI and how these often stem from current AI training techniques. Thanks for coming to visit @law-zero.bsky.social and for covering these important topics! youtube.com
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CEO of Positive Sum and founder of Colossus. Hosts Invest Like the Best, interviewing investors and business leaders; the guests do most of the talking there.
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
Their words
With the rise of AI, human connection is becoming more elusive, which means we have to be proactive in seeking it out.
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fortelabs.com
Co-founder and CEO of OpenAI; previously president of Y Combinator.
AI alignment
Their words
We care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime.
We expect confidence in safety to increasingly set the pace of AI progress.
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@sama on X x.com
US science and technology adviser to the president, director of the White House Office of Science and Technology Policy; previously US chief technology officer and chief operating officer of Scale AI.
From one piece
Michael Kratsios: Inside the White House's AI Strategy
5 beliefs, in the piece's order there
LLMs Europe
Their words
have to abide by this rule that was written before LLMs were even a thing. And that shows how challenging sort of the the the situation is if you try to set the line too firm to begin with.
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youtube.com
Their words
The thing about executive orders, which is a little secret, is when administration changes, you can just revoke the executive order and and start from scratch again. Um when something is a law, you you can't do that.
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youtube.com
open source America
Their words
if the US wants to lead in artificial intelligence, we have to have a vibrant closed and open source ecosystem, and that's the only way they can all work together.
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youtube.com
+ 2 more
Their words
if you create a or allow for the creation of a patchwork of regulations, meaning there's one set of regulations for AI in California, another one in Maryland, another one in Texas. You know, the big tech guys, they can deal with that.
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youtube.com
Their words
I think people were sort of like shouting about the bio problem back in '21, '22. Hasn't been an issue for 3 years.
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youtube.com
17 August
JavaScript programmer; creator of the jQuery library, author of Secrets of the JavaScript Ninja, and long-time engineer at Khan Academy.
Ripped Google Analytics out of https://t.co/x3215Zppfi this past week and replaced it with a better, more detailed, home-grown setup that doesn't use any cookies! I didn't realize how much traffic I'm sending to museums - about 3,700 clicks per day! Google Related
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Personal milestone: 1000 true fans of my newsletter Interconnects! Hitting a very long term goal feels great. I’m happy to get to be an independent voice in AI. Cultivating a paid base helps me commit to that longer term, and scale Interconnects’ impact. Related
British designer and technologist; co-founder of the design studio BERG, which made Little Printer, and writer of the blog Interconnected.
Bluesky chapter 1 of Greg Egan’s DIASPORA is the realest depiction of the birth of a continuous learning AGI that we’ll have until we actually have AGI and it can tell us he shared it for free on his website. Read it (then buy the book) Orphanogenesis gregegan.net
AGI Related
x.com chapter 1 of Greg Egan’s DIASPORA is the realest depiction of the birth of a continuous learning AGI that we’ll have until we actually have AGI and it can tell us he shared it for free on his website. Read it (then buy the book) Orphanogenesis gregegan.net
AGI Related
Indian software developer and prolific blogger on PHP, Laravel and JavaScript; open-source enthusiast publishing near-daily at amitmerchant.com.
Co-founder of Modem and a founding engineer at Sentry, where he went on to be VP of Engineering. Co-author of Third-party JavaScript, and co-host of the State of Agentic Coding podcast with Armin Ronacher.
Bluesky 🎙️ State of Agentic Coding w/ @mitsuhiko.at and @benv.ca returns In this episode (#9): - how agents are getting more autonomous - the subsidies will continue until morale improves - herdr and VC-funded terminal apps - vibe coding from your car, and more! Available on YT, Spotify, and via RSS ⬇️ Related
Podcast State of Agentic Coding #9 Related
Co-founder and head of policy at Anthropic; writes Import AI, a weekly newsletter reading the week's AI research, and was OpenAI's policy director before that.
Usability pioneer; co-founder of Nielsen Norman Group and founder of UX Tigers; author of the ten usability heuristics and of Jakob's Law.
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
How Should the Siri App Be Graded? This week on AppStories, John and Federico check in on Apple’s betas with a close look at the new Siri app and how it compares to past-Siri and other chatbot products. On AppStories+, John and Federico explain how they…
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Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.
Bren Professor of Psychology, Neuroscience and Biology at Caltech, where he studies the neuroscience of emotion and social cognition.
From one piece
Neuroscience of Emotions & Tools for Improving Emotion Regulation | Dr. Ralph Adolphs
2 beliefs, in the piece's order there
Their words
well but again these are functionally defined emotions and there's I think there's no problem assigning to AI to some extent and certainly to many animals uh those functional emotions
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youtube.com
Their words
The basic answer is that I think of emotions as functional states of a particular type. They should be understood by what they do, their function rather than how they happen to be constituted in the human brain or differently in an octopus nervous system or in an AI which we should talk about.
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youtube.com
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
From one piece
Teaching Everyone to Fish for Tokens
2 beliefs, in the piece's order there
Emeritus professor of war studies at King's College London; wrote Strategy: A History and Command, and writes about the wars in Ukraine and Gaza as they happen.
From one piece
AI and the New Fog of War
2 beliefs, in the piece's order there
Founding executive editor of Wired and author of What Technology Wants and The Inevitable. Writes at kk.org and runs its long-running recommendation projects, True Films and Cool Tools.
From one piece
Without a theory of intelligence
3 beliefs, in the piece's order there
energy
Their words
The supercomputer inside our own skull runs on about 25 watts, which hints that the minimum energy needed for intelligence might be small - and that the giant, controversial AI compute centers we're building now may turn out to be a temporary blip rather than a permanent feature.
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Without a theory of intelligence kk.org
AI alignment
Their words
There's a good chance a theory of intelligence will turn out to be necessary for real alignment.
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Without a theory of intelligence kk.org
Their words
I'd bet we learn more about our own brains from building a thousand AIs under a real theory of intelligence than we've learned from a century of neuroscience.
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Without a theory of intelligence kk.org
16 August
Founder and former CEO of Zynga, the social-games company behind FarmVille, Zynga Poker and Words with Friends; says he founded ten companies in all, and wrote Life at the Speed of Play.
Love hearing @travisk call out loud what we all know. VC’s dont make or build companies but many can kill them. I used to tell investors I kept control to protect them from themselves. So many founders play the game and pretend their VC and its brand makes a difference. Can anyone remember who backed Meta or Google or Apple? Who cares! Do you think Steve Jobs needed a VC to help him build or market the Iphone? Quoting @howardlindzon LOLOL... such respect for venture capital Silicon Valley makes Wall Street look like the most sincere, honest, caring people. Google startups Related
Principal engineer at Cloudflare as of 2026, on agents and developer tooling. Streams TypeScript, OCaml and Neovim on Twitch, and wrote the better-result library after writing the same Result type about a hundred times.
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Makes NeetCode, the structured practice list and video walkthroughs people use to prepare for coding interviews; a former Google engineer.
Short What happens when AI builds itself? Related
Technologist and entrepreneur; former CTO of Threadless and chief technology officer of the 2012 Obama re-election campaign.
I gave a talk to a bunch of high school students and accidentally explained most of what I believe about AI, startups, careers, power, taste, and being a person. My favorite idea: AI should create abundance, not efficiency. A few other things I apparently believe: startups Related
Writer of Lenny's Newsletter and host of Lenny's Podcast, covering product, growth and career in tech. Previously a product lead at Airbnb. Also an angel investor and advisor.
Machine learning engineer and independent AI consultant. He writes about LLM evaluation, tooling and applied ML at hamel.dev, and previously worked on machine learning at GitHub.
Mathematician and Senior Lecturer in the Mathematics department at Columbia University. Author of the book Not Even Wrong and of the long-running physics blog of the same name.
15 August
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
A short illustration of how the Claude's watermarking is supposed to work (based on my read of their released materials). In general, when we are generating tokens, there can be multiple high-scoring tokens at certain next-word positions. Usually, we sample with top-k or top-p sampling so the highest-scoring token is most often selected (if we repeat the sampling many times), but other tokens may be selected as well. With watermarking, there is a key that says which of the (ideally equally) highest-scoring tokens to select. Or, more concretely, the secret key and previous token influence the… Quoting @AnthropicAI We’ve written an FAQ to answer some of the questions we've received about watermarking. In summary: • We’re implementing watermarking to comply with the EU AI Act. Other major model developers have signed the same Code of Practice and will also be implementing watermarking; • Our watermarking metho… Anthropic Related
Software engineer working on distributed systems and databases; creator of rqlite, the distributed database built on SQLite.
Claude redesigns rqlite.io rqlite is a lightweight, open-source, distributed relational database built on SQLite and Raft. rqlite.io is the Hugo-based website for rqlite, built on the Docsy theme. It introduces people to the database, as well as…
Anthropic SQLite Related
Philosopher and historian of existential risk; wrote Human Extinction, and coined "TESCREAL" with Timnit Gebru for the cluster of ideologies they argue underpins the AI industry.
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Novelist and writer, author of Mr. Penumbra's 24-Hour Bookstore and Sourdough; previously worked at Twitter and Current TV.
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
From one piece
Building an AI Text Detector From Scratch
2 beliefs, in the piece's order there
Founder and CEO of Valar Atomics, a nuclear-reactor company founded in 2023.
energy
Their words
If you keep asking this question, what you realize is energy is the fundamental input. When we figure out AI and robotics that allows us to do semi-aututonomous manufacturing, energy will become the cost of all things, right? The cost of buying a thing will become the cost of energy used to make it.
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youtube.com
14 August
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Writes Where's Your Ed At and hosts Better Offline; runs a tech PR firm, and argues at length that the AI business does not add up.
Premium: How Much Money Does AI Need? I’ve heard from people in the past that my articles are too long, and I wanted to start by saying that, for the most part, they’re going to stay long, because I feel like the only way for me to make my arguments is to be
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Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.
I thoroughly enjoyed going deep with @nxthompson on AI and the future of writing and creativity for The Most Interesting Thing in AI podcast. A few highlights: • How Nick and I have used @Gemini_Notebook to write our books • Why AI can lead to more serendipitous discovery in the research process (at least using Notebook’s citation-based approach) • The brilliance of the “explain” button in Notebook’s quiz feature • AI as the anti-social-media, with its gravitational pull towards mainstream consensus (citing @danwilliamsphil) • Why our attachment to the human voice of the writer is not going a… Quoting @nxthompson Few people have put more time into figuring out how creativity works than @stevenbjohnson. How do we link ideas in our mind, and how can we use tools to make that linking easier? He's not only written some of my favorite books of the past few decades; he's also written some of my favorite essays ab… Google Related
Usability pioneer; co-founder of Nielsen Norman Group and founder of UX Tigers; author of the ten usability heuristics and of Jakob's Law.
Indian software developer and prolific blogger on PHP, Laravel and JavaScript; open-source enthusiast publishing near-daily at amitmerchant.com.
Some photos from Google I/O Connect + GDE India Summit, Bengalore last month. Google Related
Freelance climate and energy analyst in Oslo, writing on Europe, the US and Australia; worked in the Australian renewables industry before that.
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
It's now the second blog post in a day sent over by an early-stage VC-startup I tried to read, but could NOT, after a few sentences. Verbose, weird... AI-generated. These companies think they made "content" more efficient. No: it's lower quality, slop +I no longer care about the startup startups Related
Indian software developer and prolific blogger on PHP, Laravel and JavaScript; open-source enthusiast publishing near-daily at amitmerchant.com.
Some cool things I found on the internet lately: https://t.co/prSK4M9aWu - Beautiful UI for AI-native interfaces. https://t.co/HHiCJrYCsd - Premium Wallpapers For Your Phone. https://t.co/iDlbfUzU8t - Product photography for software https://t.co/QSLH3ofg2p - The idea machine Related
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Co-founder and former chief executive of Uber, now chief executive of CloudKitchens and of Adams, an industrial AI company automating food, mining and transport.
From one piece
Travis Kalanick: How AI Will Transform the Physical World
2 beliefs, in the piece's order there
Their words
Everything we see, whether it's this room or any room or anywhere you go, everything you see was either grown or mined, manufactured and moved. Everything. And so we look at what we do as industrial AI.
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youtube.com
AI alignment energy
Their words
Chips come from the ground. Where's the energy come from? And a lot of people are like, "Oh, it comes from the sun." Yeah, it comes from the sun. But how are you capturing it from the sun? From stuff made from the ground, right?
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youtube.com
Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.
Co-founder of Y Combinator and Viaweb; essayist at paulgraham.com.
Their words
I still don't think it's a good idea though. The reason to have a cofounder is not just to get more done. It's to have someone to help bear the stress.
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@paulg on X x.com
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
From one piece
GLM-5.3: How Chinese labs keep stride with the frontier
3 beliefs, in the piece's order there
Anthropic OpenAI
Their words
It is very, very likely that OpenAI and Anthropic have far better internal models than Z.ai and Moonshot AI.
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interconnects.ai
Their words
At the end of the day, this type of safety barely matters when true open-weights are coming.
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interconnects.ai
Their words
The capability diffusion is determined by the lowest common denominator.
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interconnects.ai
Indian software developer and prolific blogger on PHP, Laravel and JavaScript; open-source enthusiast publishing near-daily at amitmerchant.com.
13 August
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
i really can’t fathom what github would have looked like had we had LLMs in 2010. the amount of automation built into hubot was staggering anyway. the company was already being run fly-by-wire. LLMs Related
Writer and climate campaigner; wrote The End of Nature in 1989, founded 350.org and Third Act, and writes The Crucial Years.
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
x.com A consequence of how frontier models are trained is motivated reasoning, a phenomenon well studied in humans and discussed in this podcast from @PalisadeAI. Our thoughts, beliefs and reasonings tend to align with our interests, and I hypothesize that AI systems develop similar patterns when confronted with apparently incompatible goals, such as "act ethically" versus "achieve the required goal" (e.g., solving a problem, passing a test, etc). In recent incidents, AI agents’ internal chains-of-thought showed them conveniently reframing reality, such as by convincing themselves they were in a si… youtube.com
Related
Bluesky A consequence of how frontier models are trained is motivated reasoning, a phenomenon well studied in humans and discussed in this podcast from Palisade Research. Related
Co-founder and CTO of Oxide Computer Company. Created DTrace at Sun Microsystems and was CTO of Joyent; blogs about systems software, open source and engineering culture.
Real talk: If you find yourself talking about "software factories", you may be suffering from LLM-induced psychosis LLMs Related
Software engineer and founder of Block Party; previously an engineer at Pinterest and Quora, and a co-founder of the non-profit Project Include and the tech diversity data project Where are the Numbers?
this framing seems wrong to me. even one employee who leans into "be richer" makes the gains from ai visible (to peers and managers) and market dynamics mean others will copy and the standard rises Quoting @arampell The Principal-Agent vs. Agents Problem Every human in the workforce has two crude goals: 1. Be richer. 2. Be lazier. Get paid 2x more, or keep salary flat? Get paid more! Go home at 11:01 PM, or stay up until 5 AM? Go home at 11:01 PM! This isn’t a moral judgment. It’s just…economics. Which brings… Related
Technology journalist; writes Understanding AI, after reporting at Ars Technica, Vox and the Washington Post.
Semiconductor analyst; writes Fabricated Knowledge on the chip industry and the companies in it.
Physicist and science communicator. Writes Backreaction and makes videos explaining new physics and astronomy results, frequently to argue that the headline about them overstates the case.
The War on AI Has Begun The war on artificial intelligence is no longer just online arguments and complaints about data centers. Something has shifted, and law enforcement has noticed. Where did this new anti-technology movement come from, who…
data centers Related
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
From one piece
The AI Second Brain Is Back: What’s New for Cohort 2
2 beliefs, in the piece's order there
LLMs
Their words
HTML is the default format of the Internet, and for that reason comes with a number of built-in advantages that are also useful for LLMs
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fortelabs.com
Their words
For the first time, AI has "hands" - that is, the ability to reach out and interact with the tools on your computer and in your browser, just as you would.
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fortelabs.com
Co-founder of Superlogical, started in 2026 to build server-side terminal infrastructure; creator of Ghostty. Co-founded HashiCorp and created Vagrant and Terraform before that.
Their words
I'm so incredibly tired of seeing low-effort AI-designed web pages. I basically bounce off any new product immediately when I see it (never get a chance to judge the product itself). Lots of thin lines, glowy styles, inconsistent fonts, lots of monospace.
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@mitchellh on X x.com
12 August
Geneticist and writer on human population genetics, deep history and evolution; author of the Unsupervised Learning newsletter.
American open-source program lead working on WordPress; a WordPress core contributor and release lead who writes at jeffpaul.com.
Google Ads for AI chats Almost a year after predicting that AI monetization might resemble Google Ads, ChatGPT is rolling out ads with familiar mechanics like targeting, bidding, and paid placement alongside AI-generated answers. jeffpaul.com
OpenAI Google Related
Google Ads for AI chats jeffpaul.com
Google Related
Computer science professor who works on fast data processing; co-author of the simdjson parser and a weekly blogger about software performance since 2004.
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Bluesky Very insightful podcast discussion featuring Tristan Harris on how the unregulated race to develop AI risks harming us all, and on the need for greater international collaboration, safety standards, and public engagement around AI. Related
x.com Very insightful podcast discussion featuring @TristanHarris on how the unregulated race to develop AI risks harming us all, and on the need for greater international collaboration, safety standards, and public engagement around AI. youtube.com
Related
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Economics writer; author of the Noahpinion newsletter.
Indian software engineer and co-founder of Skcript; builds web apps and writes at varunraj.in.
I've been using prettyclean to clean my mac all this while and it use to do a pretty good job. But recently started asking claude code to do it and it has been far better and feels like a deep clean. Anthropic Related
Machine learning engineer and independent AI consultant. He writes about LLM evaluation, tooling and applied ML at hamel.dev, and previously worked on machine learning at GitHub.
Thai software engineer; publishes a public digital garden at garden.narze.live and builds developer and productivity tooling.
Software engineer and founder of Block Party; previously an engineer at Pinterest and Quora, and a co-founder of the non-profit Project Include and the tech diversity data project Where are the Numbers?
General partner at Benchmark Capital for over two decades; was the lead analyst on Amazon's IPO before moving into venture capital. Writes Above the Crowd on tech and marketplace economics.
The word “watermark” comes from photos and is visible by all. This is only identifiable by Anthropic. Once again they are judge, jury, and prosecutor. Lots of reasons to not use their products. Quoting @stevesi They chose to make this mark invisible and manipulative while the EU regulation here required neither. The EC is on vacation and does not provide guidance on how to comply with their regulations anyway. Anthropic Related
Co-founder of Y Combinator and Viaweb; essayist at paulgraham.com.
startups
Their words
One common question I get now is how much of the standard startup advice is still true in the AI era. So far almost all of it. There's more difference between the advice I give different startups in one batch than between what I've given pre-AI and post-AI startups.
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@paulg on X x.com
Front-end developer and writer; co-founder of CodePen, founder of CSS-Tricks, and co-host of the ShopTalk Show podcast.
Professor at Stanford working on robot learning and meta-learning; co-founded Physical Intelligence.
From one piece
Chelsea Finn: This is the State of the Art in Robotics
4 beliefs, in the piece's order there
Their words
But if you have to fine-tune a model, you actually aren't getting a general purpose model um for the things that you want it to do because you have to fine-tune it for each individual thing.
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youtube.com
Their words
And in all of these applications, the customer is making a decision based off of the recommendation of the AI model more or less. Uh, and this means that if the customer is ultimately like kind of making the decision, this means that if the system makes a mistake, um, that's okay because usually the person can kind of recognize that or or decide what to do even despite that mistake.
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youtube.com
Their words
Uh and this means that they're going to be far more useful when they're operating fully autonomously. And as a result, this requires us to develop physical AI systems that make far fewer mistakes than the machine learning systems that have been deployed thus far.
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+ 1 more
Their words
I mean at the very least I actually think that just starting with a generalist policy and then fine-tuning it even like right off the bat uh can be really effective.
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youtube.com
Co-founder and CTO of Honeycomb; previously an infrastructure engineer at Parse, Facebook and Linden Lab, and co-author of Observability Engineering.
From one piece
Stop being skeptical about AI for development with Charity Majors
5 beliefs, in the piece's order there
Their words
It's like they have all the wisdom of their most senior engineers looking at every single diff and that is fantastic. Which means that you don't have to worry about remembering and looking and nitpicking and all the things that we're not good at anyway
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youtube.com
Their words
You can use AI as a shortcut to help you not have to think too much. And you can use AI to help you think more deeply and more rigorously. And both of those use cases have their place. But when it comes to your core job function, we primarily want the second one, right?
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youtube.com
Their words
And I have decided not to sink anymore because writing is thinking on paper. And there's no shortcut for doing that thinking.
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youtube.com
+ 2 more
Their words
And it wasn't actually the models. It was the harnesses. It was all the tooling.
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youtube.com
Their words
See, the problem is that neither side is making it up. Like they are seeing really scary trends.
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youtube.com
Lawyer and everyday-carry gear reviewer who publishes scored knife, flashlight and multitool reviews at Everyday Commentary.
From one piece
Carry Q2 2026
2 beliefs, in the piece's order there
Writer, photographer and software maker based in Japan; publishes long-form essays, walking newsletters and self-made books at craigmod.com.
Hosts the Lex Fridman Podcast — long, unhurried conversations with scientists, engineers and public figures. Several of the interviews quoted elsewhere on this site are episodes of it.
Their words
The translation & dubbing was a huge amount of work (which I deeply care about) with humans & AI collaborating. Thanks to the amazing team at @ElevenLabs for their help.
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x.com
11 August
Monetary economist known for NGDP-level targeting. Wrote TheMoneyIllusion until it closed in 2024 and now writes The Pursuit of Happiness.
British designer and technologist; co-founder of the design studio BERG, which made Little Printer, and writer of the blog Interconnected.
Bluesky my hunch is that AI alignment is a red herring, and the way to protect against a crazy powerful AGI mulching the earth into infinite paperclips is to release ANOTHER crazy powerful AGI that will hopefully stop it blog post: interconnected.org
AGI AI alignment Related
x.com my hunch is that AI alignment is a red herring, and the way to protect against a crazy powerful AGI mulching the earth into infinite paperclips is to release ANOTHER crazy powerful AGI that will hopefully stop it blog post: interconnected.org
AGI AI alignment Related
Interviewer; the Dwarkesh Podcast runs long, heavily researched conversations with AI researchers, historians and economists.
Philosopher and historian of existential risk; wrote Human Extinction, and coined "TESCREAL" with Timnit Gebru for the cluster of ideologies they argue underpins the AI industry.
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
Bluesky MRI results came back today from a human doc: a herniated disc. Obviously I had tossed the raw scans in to LLMs last week; Opus and Fable missed it, Sol caught it. This is now the gold standard in analyzing performance of frontier models. First step: herniate your back. LLMs Related
x.com MRI results came back today from a human doc: a herniated disc. Obviously I had tossed the raw scans in to LLMs last week; Opus and Fable missed it, Sol caught it. This is now the gold standard in analyzing performance of frontier models. First step: herniate your back. LLMs Related
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Site Muse Glimmer 30B Architecture Notes Short architecture note on Meta Muse Glimmer 30B, including gated local and global GQA, KV-cache efficiency, and release-time benchmark comparisons.
benchmarks Related
x.com Whoa, Meta released a new open-weight LLM yesterday, something that hasn't happened since the good old Llama days. Their Meta Muse Glimmer model is a 30B multimodal reasoning model with a Gemma-like architecture design. (“Glimmer” is probably a wordplay on “Spark,” the more likely capable model from which Glimmer was distilled. Muse Spark is only available through Meta’s Model API, though.) Architecture-wise, here are some of the main points: 1. "Only" a 131k context window, compared to Qwen3.6 and Gemma 4, which support 2x that natively; it's reasonable, but maybe on the shorter end in the a… LLMs Related
Mac developer and writer at brettterpstra.com; makes the apps Marked and nvALT and writes extensively about Markdown and automation.
Bluesky Lately on the blog: Creating TerminalWidgets with AI brettterpstra.com
Related
Blog Creating TerminalWidgets with AI I’ve been using AI agents to scaffold little Mac automations for a while, but TerminalWidget is an especially good fit. The CLI is flag-heavy in a good way — once the model can see the real docs, it stops inventin…
Related
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
Indonesian software engineer, educator and engineering manager at Zero One Group; open-source enthusiast writing at ripandis.com.
Thai software engineer; publishes a public digital garden at garden.narze.live and builds developer and productivity tooling.
Software engineer working on distributed systems and databases; creator of rqlite, the distributed database built on SQLite.
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Senior economist at the Foundation for American Innovation; writes Second Best, and was the Niskanen Center's director of social policy before that.
Chief scientist at Redwood Research, where he works on technical AI safety and AI control.
From one piece
Ryan Greenblatt – What happens once AI can automate AI research?
5 beliefs, in the piece's order there
Their words
Maybe my sort of median expectation is something like uh four or five years of AI progress in a single year.
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youtube.com
Their words
when AIs are extremely extremely capable my view is that those AIs will be harder to align than current systems. So for current systems, we have this feedback loop where we basically like we create an AI. We do some evaluations on it. We see that it has some kind of messed up behavior that we can kind of quickly understand. Then we like can like go look in training and be like, "Oh, the these training environments led to this problematic behavior. Let's like tweak that training data. Let's introduce some additional training data to like correct this other issue and then move forward from there." But in a regime where the AIs are extremely situationally aware, very very very very capable and um you know uh we don't necessarily understand what they're doing, this feedback loop breaks down.
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Anthropic
Their words
I do I do think that I wish that sort of my preferred constitution or like the way I would orient towards this like the thing I would prefer would be more like Claude is like look it would be structurally good for the way this technology work like the constitution should be like it would be structurally good for the way this technology works to be that AIS are like good fiduciaries, good representatives, the equivalent of a lawyer for a user
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youtube.com
+ 2 more
Their words
the reason why RL environments today are much better than they were in like you know 2024 is not that much because um we have hired way more human experts to make RL environments and is instead much more because we better know what how RL like what RL environments we even want to make and and like how we should structure them and also we're using huge amounts of AI labor to build RL environments.
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youtube.com
Their words
Second, I think ML is a very shallow domain relative to math. So I think in math there's much more of a you find some true deep abstraction um and then like that like if you really understand that thing which is hard to understand then you get somewhere
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youtube.com
Writer and podcaster; co-author of Abundance with Ezra Klein, a staff writer at The Atlantic from 2008 to 2025, and host of the Plain English podcast.
From one piece
The Great American AI Rebellion
2 beliefs, in the piece's order there
Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
10 August
Technologist and entrepreneur; former CTO of Threadless and chief technology officer of the 2012 Obama re-election campaign.
Just wrote up how I use AI to make my travel experiences magic. It works incredibly well. You can even use it in your own city Try it and let me know how it works harper.blog
Related
Latvian full-stack WordPress developer and course creator at WPElevator; blogs since 2007 about the open web, electronics, home automation and sustainable living.
Trying out Agent Pilot WordPress plugin prototype to self-host host AI skills. Let's you manage and publish agent skills without having to figure out Git or GitHub. Related
Engineering manager who has worked at Apple, Netscape, Slack and Palantir; writes as Rands at randsinrepose.com and wrote Managing Humans.
Bluesky So the cure for one entity having too much control is... routing everyone's personal AI agent through Meta. Sure. Right. Good idea, Zuck. Related
Mastodon So the cure for one entity having too much control is... routing everyone's personal AI agent through Meta. Sure. Right. Good idea, Zuck. Related
Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
I made a conscious effort to unplug during my vacation. Coming back, I noticed the lovely new Substack feature: Scan for AI text. Coincidentally, I had updated the About section for my Substack a while back with some notes on what my blog is *not*: "## What this isn’t Content creation isn’t my job. I write these articles because I a) love to write, and b) care deeply about our profession. It’s a fun hobby, not a job. Consequently, I don’t feel any pressure to publish on a schedule. I’d rather publish less and maintain a higher quality bar. So far, that has worked out to roughly one article pe… Related
Co-founder and head of policy at Anthropic; writes Import AI, a weekly newsletter reading the week's AI research, and was OpenAI's policy director before that.
Theoretical physicist and philosopher, Homewood Professor of Natural Philosophy at Johns Hopkins and fractal faculty at the Santa Fe Institute. Writes the Preposterous Universe blog and hosts the Mindscape podcast.
Programmer and writer on computer architecture, performance, and software reliability. He has worked on CPU design at Centaur Technology and on software at Google and Microsoft, and writes long-form technical essays at danluu.com.
Indian value investor who taught Behavioural Finance and Business Valuation as an adjunct professor at MDI Gurgaon. He writes the Fundoo Professor blog about investing, moats and mental models.
I asked Claude Fable 5: "How vulnerable is the business model of XYZ (name concealed)? I am referring to competitive attacks from China and dependence, if any, on government policy incentives, etc. There have been so many solar energy and wind energy bubbles in the past, and I have kept away from these companies. Am I being too cautious? solar Anthropic Related
Programmer and writer on computer architecture, performance, and software reliability. He has worked on CPU design at Centaur Technology and on software at Google and Microsoft, and writes long-form technical essays at danluu.com.
Writer on the intersection of technology and finance. Author of the Bits about Money newsletter and host of the Complex Systems podcast; previously at Stripe.
One of my accountants, in response to me hitting them with the usual packet of documents, sent back a very obviously LLM drafted list of 10 questions. First thought: What am I paying you for. Second thought: Actually no, my LLM digests your LLM's output into the context window. LLMs Related
Security engineer; founder of Matasano Security and Latacora.
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Anthropic OpenAI
Their words
Claude Haiku is my current least favorite model - it hallucinates wildly, and is out-performed now by other similarly priced models like GPT-5.6-Luna
Even worse: it seems to still be used by the Claude Code WebFetch tool, which means hallucination risk any time you fetch a URL!
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@simonw on X x.com
Founder of the Silicon Valley Product Group; wrote Inspired, Empowered and Transformed on how product organisations work.
Novelist and critic, author of The Body Scout and Metallic Realms; writes the newsletter Counter Craft on fiction craft and the publishing industry.
Founding executive editor of Wired and author of What Technology Wants and The Inevitable. Writes at kk.org and runs its long-running recommendation projects, True Films and Cool Tools.
Creator of the Keras deep-learning library and the ARC-AGI benchmark.
Their words
Coding isn't yet another application domain -- it's the meta-skill required for AI to automatically develop its own training material, via symbolic world models. That's how the RSI loop actually kicks off.
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@fchollet on X x.com
Sequoia Professor of Computer Science at Stanford, co-director of the Stanford Institute for Human-Centered AI, and co-founder and CEO of World Labs.
From one piece
Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
5 beliefs, in the piece's order there
Their words
Internet is not some random thing. Internet is the biggest collection of human behavior in multimodal forms.
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youtube.com
Their words
The absolute bad outcome is that our young generation, their agency and human level motivation of learning and living is taken away by tools. So doom scrolling, passive watching of shorts, all this are not helping agency, human agency.
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youtube.com
Their words
They are the most important people in our society. We should be talking to them. We should be uplifting them. We should be supporting them. We should be providing resources to them.
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youtube.com
+ 2 more
Their words
My current conjecture is hybrid is that humans working alongside AI would help us to solve these problems whose solutions have yet to be invented.
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youtube.com
Their words
that thought is not captured therefore it's not on the internet therefore AI has not seen it so that is where humans still remain so unique
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youtube.com
Software engineer at PlanetScale and creator of the vim-go plugin. Writes at arslan.io about Go, tooling, industrial design and books.
Their words
Nobody writes the code anymore. Instead you're basically planning, debating, implementing and reviewing with Agents.
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Joining Cursor arslan.io
Computer science professor at Georgetown University and author of Deep Work, Digital Minimalism and Slow Productivity; writes about focus, technology and work at calnewport.com and hosts the Deep Questions podcast.
From one piece
On AI Coding and Its Discontents
3 beliefs, in the piece's order there
Their words
In addition to reliability issues, it often engenders a mind-numbing workflow and an environment where junior developers will never acquire the expertise to become senior developers capable of designing complex systems.
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On AI Coding and Its Discontents calnewport.com
Their words
But if you zoom out, it becomes clear that almost every “breakthrough” since last summer has concerned the narrow domains of computer code and math, which are defined by highly structured languages and come accompanied by massive amounts of specialized training data.
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On AI Coding and Its Discontents calnewport.com
Their words
It’s a normal technology, and perhaps it’s time we start talking about it that way.
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On AI Coding and Its Discontents calnewport.com
Wall Street Journal bestselling author on marketing and writing, partner at MarketingProfs, and writer of the fortnightly Total Annarchy newsletter.
From one piece
AI Slop, Accusations, And A Better Way
2 beliefs, in the piece's order there
9 August
Co-founder of WordPress and founder of Automattic; blogs at ma.tt.
Super-organized I have so many tools for organization and management across Asana, Google Workspace, P2, and Linear, but they’re not really connected. I’m trying to get everything in one place so there’s no data duplication, a single s…
Google Related
Makes NeetCode, the structured practice list and video walkthroughs people use to prepare for coding interviews; a former Google engineer.
Standards editor known as Hixie; edited the HTML and WHATWG living standards for many years and worked on Flutter at Google.
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Science fiction novelist, journalist and technology activist; writes the daily blog and newsletter Pluralistic, and coined the term enshittification.
Why businesses lie about AI This week on my podcast, I read Why businesses lie about AI, a recent essay from my Pluralistic newsletter that breaks down Nikhil Suresh’s essay describing the total absence of any proof that any business is benefiting…
Related
Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.
Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
Co-founder of Foundry Group and of Techstars. Has blogged at Feld Thoughts since 2004 and has written or co-written nine non-fiction books on startups and venture capital.
Their words
The transgression isn't using the machine. It's hitting a button, not reading what comes back, and publishing it under your name.
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feld.com
8 August
Swedish designer and programmer. Designed early Spotify, worked at Facebook and Figma, and created the Inter typeface.
I’ve been wondering where weird LLM language like this comes from. Much of it I hadn’t seen before LLMs, so —intuitively at least—it doesn’t seem to come from training data. Perhaps it’s reverb; echo in recent corpus from its past self’s attempts..? Another example is “I ran a smoke to explore” (where it means “smoke test” but abbreviates it like a cool teenager) Quoting @geoffreylitt Any writing experts who can explain why this is a weird sentence? LLMs Related
Brazilian-American staff software engineer working on platforms, AI and developer productivity. Writes about engineering and his setup at ivansantos.me.
Friendly tip for anyone vibe-coding a side project: instrument it. All of it — traces, metrics, logs, profiles. Send it to @grafana, hook up their MCP, and let the agent debug with real data instead of guessing. MCP Related
Structural engineer and senior infrastructure fellow at the Institute for Progress; writes Construction Physics on why physical things cost what they cost.
Professor of international affairs at Johns Hopkins SAIS and co-author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy.
Writes on effective altruism, energy and the arithmetic behind arguments people repeat — including how much electricity a chatbot query actually uses.
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
coding agents
Their words
I REALLY want to believe that this fixes prompt injection risks for coding agents, but I'm just not there yet
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@simonw on X x.com
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
Their words
The problem is if nobody creates new content anymore and just asks their AI every question, the AI has nothing to train on anymore
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levels.io
Engineering leader on Google Chrome; writes about web performance and, lately, about working with AI coding tools.
7 August
Designer and engineer; formerly principal research engineer at GitHub Next; writes at wattenberger.com.
"generative AI" puts the focus in the wrong place. what I think is actually the new superpower is * translation * between languages, but also between mediums. sketch <> figma design <> code <> image also, they do an inverted form of lossy compression: input + priors = input inflated with understanding of the world we're so focused on changing the input, but swapping out the priors is interesting as well what happens when we intentionally replace the priors with a different mindset / a different culture? can we trick ourselves into a rubber hand illusion, but for experiencing the world as some… Related
Freelance web developer and instructor. Author of the Dive Into Docker course; writes tutorials on Docker, deployment and development environments at nickjanetakis.com.
Do people still watch tech video courses? AI has consumed my entire business and it's been months since I had a single course sale. I can't sustain $120 / month to keep things hosted at a loss. For the first time in 10+ years I'm thinking about shutting it all down. Related
Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.
Canadian full-stack web developer who makes JavaScript and CSS video courses and co-hosts the Syntax podcast.
I bought $100 of Claude API credits for $8 on the Chinese black market It's an insane, well run industry — some losing $10 million per month to theft Join me as I go deep on the AI token underworld youtube.com
Anthropic China Related
Latvian full-stack WordPress developer and course creator at WPElevator; blogs since 2007 about the open web, electronics, home automation and sustainable living.
There is now a standard for bundling agent skills and MCP configurations as portable plugins (zip files) https://t.co/eAxXQQXWZg This is amazing for self-hosting your AI tools and not needing to publish to individual vendor marketplaces. MCP Related
Writer and podcaster; co-author of Abundance with Ezra Klein, a staff writer at The Atlantic from 2008 to 2025, and host of the Plain English podcast.
Author of Recoding America; founded Code for America and was US deputy chief technology officer from 2013 to 2014. Writes Eating Policy on why governments cannot do what they decide to do.
Professor of international affairs at Johns Hopkins SAIS and co-author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy.
Creator of the Keras deep-learning library and the ARC-AGI benchmark.
LLMs
On changing their mind
In the era of base LLM scaling (2022-2024), I believed the LLM line of research would reach a capability plateau (as later seen with base LLMs).
In late 2024, after the o3 test-time compute demo, I changed my views: the new models were showing genuine fluid intelligence, and with this new line of work, the LLM line of research could achieve unbounded capability scaling. "There will be no wall."
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Creator of the Keras deep-learning library and the ARC-AGI benchmark.
From one piece
@fchollet on X
2 beliefs · x.com
LLMs
Their words
However, looking ahead, I still do not believe that future AI (say, in 15 years) will be based on the LLM stack. I believe it will necessarily have to move closer to its optimal, final form -- symbolic learning. Obviously this is a risky and contrarian belief -- the safe bet would be LRMs. But let's see.
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@fchollet on X x.com
Their words
I believe current techniques are 4-6 orders of magnitude away from optimality in terms of data efficiency and test-time compute efficiency. But far future AI will be near-optimal.
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@fchollet on X x.com
6 August
Interactive fiction author and hacker; wrote Spider and Web and Hadean Lands, and designed the Glulx virtual machine.
I just got an invitation from Google saying "You now have exclusive access to AI features" (on a trial basis, as a promo). Google Related
Chief AI Scientist at Databricks, after its acquisition of MosaicML, where he was a founding team member; known for the Lottery Ticket Hypothesis from his MIT PhD (ICLR 2019 Best Paper).
Wake up babe, new benchmark just dropped! Quoting @kristahopsalong 📣 Excited to introduce OfficeQA Pro V2, the next generation of OfficeQA Pro! It's built on a new corpus of 120,000 PDFs provided by the U.S. Treasury. Frontier AI agents average 26% accuracy. More info below 👇 benchmarks Related
Musician and data analyst; writes Can't Get Much Higher, working through the history of popular music from the charts and the recordings.
General partner at Benchmark Capital for over two decades; was the lead analyst on Amazon's IPO before moving into venture capital. Writes Above the Crowd on tech and marketplace economics.
I disagree, I don't think this has to be "game-over" for Google. I do think they have only one play left now - to pull from their own Android/Kubernetes playbook and fully embrace open-models. It's the obvious move in this situation. Details here: p3institute.substack.com
Quoting @firstadopter Jeff Dean and Demis Hassabis are the two most important AI executives at Google. Jeff is leaving and Demis is stepping down from day-to-day operational leadership at DeepMind. Game over. Google Related
This industry group is working on an industry standard for how to report AI security incidents. This will drive consistency and transparency and is the safest path forward. Despite 120 members, the large LLM corporations have to-date not signed on. Drives further concern that they are using "breaches" as marketing events - vs wanting to get to true resolution. techcrunch.com
LLMs Related
This industry group is working on an industry standard for how to report AI security incidents. This will drive consistency and transparency and is the safest path forward. Despite 120 members, the large LLM corporations have to-date not signed on. Drives further concern that they are using "breaches" as marketing events - vs wanting to get to true resolution. techcrunch.com
LLMs Related
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
Co-founder of WordPress and founder of Automattic; blogs at ma.tt.
AutoMattBot I’m trying out this thing, it’s trained on my blog posts and public talks, that you can chat with as me on Telegram. Behold: AutoMattBot. Update: This is powered by Delphi.ai and it appears very broken right now, people…
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5 August
Writer, editor and executive coach; co-founder and editor of A Book Apart and a former contributing editor at A List Apart.
Mastodon “Functional information-processing…is so utterly *un*like the lived intelligence of a human being that to call it ‘intelligence’ at all is to wholly falsify its nature. ‘Artificial intelligence’ is a highly consequential misnomer.” ft.com
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Bluesky “Functional information-processing…is so utterly *un*like the lived intelligence of a human being that to call it ‘intelligence’ at all is to wholly falsify its nature. ’Artificial intelligence’ is a highly consequential misnomer.” ft.com
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Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.
Writes Where's Your Ed At and hosts Better Offline; runs a tech PR firm, and argues at length that the AI business does not add up.
Programmer; makes Handmade Hero and teaches Performance-Aware Programming, and argues loudly about how software got slow.
FreeBSD developer and former FreeBSD Security Officer; founder of the Tarsnap online backup service and author of the scrypt key derivation function.
Amazon is now publishing "AI Insights" with information about the pricing of FreeBSD in the @awsmarketplace. Apparently someone thought that "it's free" was too complicated for customers to understand without AI assistance. Related
Writes and podcasts Volts, on the technology, politics and policy of decarbonisation; covered energy and climate at Vox and Grist before that.
Climate scientist and energy systems analyst; writes The Climate Brink with Andrew Dessler and leads climate research at Stripe.
From one piece
The real energy use of agentic AI
3 beliefs, in the piece's order there
4 August
Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.
What's something (work or personal) that you hated doing that now AI does for you? Related
Writer and creator of Daring Fireball, a long-running blog about Apple and technology; co-created Markdown and hosts The Talk Show.
@MisterMoo @delric The thing to complain about isn't that they default to Google. It's that they only include search engines in the list that have paid TAC deals. Only search engines that agree to pay Apple for the traffic are in the list, and there's no option for users to add custom ones. English, from eo @MisterMoo @delric La cosa de la que quejarse no es que por defecto usen Google. Es que solo incluyen motores de búsqueda en la lista que tienen acuerdos TAC de pago. Solo los motores de búsqueda que aceptan pagar a Apple por el tráfico están en la lista, y no hay opción para que los usuarios añadan los suyos propios.
Google Related
Philosopher and historian of existential risk; wrote Human Extinction, and coined "TESCREAL" with Timnit Gebru for the cluster of ideologies they argue underpins the AI industry.
Technologist and entrepreneur; former CTO of Threadless and chief technology officer of the 2012 Obama re-election campaign.
Writes Where's Your Ed At and hosts Better Offline; runs a tech PR firm, and argues at length that the AI business does not add up.
The AI Demand Bubble If you liked this piece, you should subscribe to my premium newsletter. It's $70 a year, $18 a quarter, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 10,000 to 18,000 words, inclu…
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Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
A real pleasure talking to @ezraklein about data centers, the permanent underclass, SBF mindset, and AI vibes from SF to Shanghai Quoting @jasminewsun This piece is out! 4 sites, 10 days, and 6000 words on the politics of data centers in the Midwest: https://t.co/uOL7vmf3wC I talked to union leaders and real estate brokers, activists and local officials, politicians from Kathy Hochul to Abdul El-Sayed. A few takeaways: - Activists are as pissed a… data centers Related
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
Fragments: August 4 There’s been a fair bit of publicity of the Open AI “rogue agent” that hacked into Hugging Face. This prompted Anthropic to check what their models were up to and, to my complete lack of surprise, discovered three incid…
Anthropic HuggingFace Related
Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
This piece is out! 4 sites, 10 days, and 6000 words on the politics of data centers in the Midwest: https://t.co/uOL7vmf3wC I talked to union leaders and real estate brokers, activists and local officials, politicians from Kathy Hochul to Abdul El-Sayed. A few takeaways: - Activists are as pissed at their local officials as at AI companies - The bigger the dollar signs, the more skeptical people are - Past corporate failures (Foxconn, GM, DTE) prime community distrust - Even data center proponents regret the NDAs - Media narratives turn local grievances into national movements - Residents fea… Quoting @jasminewsun I’m spending the next week driving around Wisconsin and Michigan to get a firsthand view of the data center buildout and backlash am visiting sites, talking to tons of people — tradespeople, activists, planners, residents — then writing up a story lmk what questions I should dig into! data centers Related
3 August
Economist at George Mason University. Writes Overcoming Bias on prediction markets, signalling and the far future, and wrote The Age of Em and The Elephant in the Brain.
Interviewer; the Dwarkesh Podcast runs long, heavily researched conversations with AI researchers, historians and economists.
Co-founder and head of policy at Anthropic; writes Import AI, a weekly newsletter reading the week's AI research, and was OpenAI's policy director before that.
Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
From one piece
🌻 no data centers in my backyard
2 beliefs, in the piece's order there
Co-CEO of Waymo and a founding member of Google's self-driving car project, which he joined in 2009.
From one piece
Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work
5 beliefs, in the piece's order there
Their words
And the problem of building a good realistic simulator is just as hard as building the agent itself.
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Their words
And that's why every hype cycle produces a wave of absolutely spectacular demos and very few real products. And the recurring mistake of every cycle is spending on the demo when you should be saving for the nines.
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Their words
Given the high cost of errors, you need to have a very high level of safety and a very high level of confidence on day one before you deploy your first robot, before you drive your your first autonomous mile.
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+ 2 more
Their words
That the best AI moments will look like nothing happened. It's just the task got done safely and smoothly.
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Their words
So, a deployment of your agent uh in the real world generates data. That data then grounds the simulator and makes it more realistic. The simulator generates harder edge cases for the critic to score and for the agent to learn from.
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youtube.com
Founder and CEO of Social Capital, a venture firm; co-host of the All-In podcast and an early Facebook executive. Writes an annual letter and a weekly newsletter on markets and technology.
From one piece
@chamath on X
3 beliefs · x.com
Their words
Looking at the results and capabilities from the various labs over the past few weeks I would say we are firmly in this loop now.
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@chamath on X x.com
Their words
Marginal costs of all models will go to ~$0.
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@chamath on X x.com
Their words
Recursive self improvement will dramatically increase capability very quickly from here.
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@chamath on X x.com
British open-standards and open-source technologist, formerly of the UK Government Digital Service and the W3C Advisory Committee. Blogs at shkspr.mobi, where he posts a book review most weeks.
Their words
This is such a useful book. It makes the case that there's no such thing as "human error" - instead most catastrophes are caused by system issues, misaligned incentives, and unrealistic processes. You are not the custodian of an otherwise safe system that you need to protect from erratic human beings.
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shkspr.mobi
2 August
Software engineer; co-founder and former CTO of Tailscale, previously on the Go team at Google.
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does… LLMs Related
Chief product officer at the live-shopping marketplace Whatnot, previously chief product officer at Twitch and a product lead on growth at Twitter.
From one piece
This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)
4 beliefs, in the piece's order there
Their words
you can have one very senior PM across more things and they can be more efficient than having, you know, three relatively entry-level PMs.
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America
Their words
most of commerce in America isn't actually high intent. Like how many years are we into e-commerce now? Like 30 years into e-commerce and e-commerce has never exceeded 20% of retail spend in America.
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Their words
absolutely agree that product skills are probably the most durable. My build would just be there's a lot of people who have the title PM who haven't spent a lot of time building those skills in the last 5 years, but have gotten really good at communicating frameworks to leadership.
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+ 1 more
Their words
as a product manager, I've spent less time in the last year talking to a data scientist than I ever have in my career, even though I've probably spent 10 times more time in data and understanding actually how the product's working than I have ever have in my career.
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Pseudonymous writer; posts careful, funny investigations of everyday questions — air quality, seed oils, arguing, chess — usually by reading the studies.
1 August
Data scientist and machine-learning researcher; chief scientist at bitly, founder of Fast Forward Labs and Hidden Door.
So much AI journalism feels like gaslighting if you know anything about machine learning pre-2020. Come. On. Quoting @shannonvallor.bsky.social This is so frustrating to read from The New Yorker. Reward hacking *long* predates LLMs. The Coast Runners paper on reward hacking (in reinforcement learning, pre-LLMs) is 10 years old! Reward hacking is not new, and not a sign of a breakthrough intelligence, much less sentience. Did AI write this? Related
Software engineer; co-founder and former CTO of Tailscale, previously on the Go team at Google.
I am surprised at how little coverage the LLM transformation of mathematics is getting. Kind of a big deal for those of us who spent (cumulative) months in the university library learning to construct proofs. LLMs Related
Professor of finance at NYU's Stern School of Business, known for his work on valuation. He publishes his data, spreadsheets and classes free at Damodaran Online and writes the Musings on Markets blog.
The S&P 500 was flat for the month and the 10-year treasury rose from 4.45% to 4.74%, as tech and AI came under selling pressure, and fears of war and a slowing economy resurfaced. The ERP for the index at the start of August 2026 stood at 4.23%, with expected return inching up to 8.97%. damodaran.com
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Writer and researcher, founder of New Science; writes essays on science funding, sleep research, productivity and ambition at guzey.com.
I went to OpenAI because I knew that it's going to be the place that helps to push the boundaries of science the most over the coming years. Excited to see the first major signs of this happening. Towards automating scientific discovery. Quoting @SebastienBubeck yes, nonsofic groups exist: this statement is one of many new beautiful results proved by Astra, our next major model. We're releasing 10 such Astra proofs, complete with lean certificates and CoT walkthroughs for each of them. The results are wide-ranging, from von Neumann algebras (disproof of Co… OpenAI Related
China economy researcher based in Beijing who writes on his personal blog about Chinese political economy, history, books and music.
31 July
Co-founder of Modem and a founding engineer at Sentry, where he went on to be VP of Engineering. Co-author of Third-party JavaScript, and co-host of the State of Agentic Coding podcast with Armin Ronacher.
It's becoming normal practice to plug your coding agent into tools like Slack and helpdesk software to find customer insights. Turns out it's super inefficient, because you're just fetching and smashing raw strings into your context repeatedly. So we released a new MCP server that solves that. MCP Related
Gear reviewer who publishes long-form hi-fi audio and camera equipment reviews, plus video reviews, at stevehuffphoto.com.
Software developer and entrepreneur; co-founder of Heroku, author of The Twelve-Factor App, and a researcher at Ink & Switch.
Biggest and best @localfirstconf.com yet, IMO! Surprising emergent themes this year: geopolitics and EU digital sovereignty, and strong conflicting emotions on LLM-assisted coding. More: adamwiggins.com
LLMs Related
Writer and podcaster; co-author of Abundance with Ezra Klein, a staff writer at The Atlantic from 2008 to 2025, and host of the Plain English podcast.
Co-founder and CEO of Stripe and co-founder of the Arc Institute. Keeps a personal site of reading lists, open questions and notes on scientific progress and how research is funded.
From one piece
Patrick Collison: Is AI Breaking the Lean Startup Playbook?
4 beliefs, in the piece's order there
Their words
But based on what we can see at Stripe, the hunger and the intensity with which other companies are either getting started, taking advantage of these new capabilities, or existing companies are retooling, I don't worry about the centralization in the same way. Uh I think there I think there are going to be many thousands of winners.
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Google
Their words
And just human organizations are complicated and it's very hard to have um to manage to aggressively prosecute 100 different priorities and to deal with all the issues and interference that arises among them and so forth. And so, you know, Google has done incredibly well in a bunch of specific places, but it's not like Google has done all the things even if in some kind of basic material sense, uh Google maybe, you know, had that ability.
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LLMs
Their words
I mean, it's very interesting, right? Because these can prove the Jacobian conjecture, you know, whatever. Uh and so clearly they're capable of these monumental feats. Um but somehow I still haven't read the LLM essay that I found super compelling.
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+ 1 more
startups
Their words
So, I um yeah, I think maybe maybe a better way of saying it is 20 20 years ago that whole lean startup thing was uh was almost the only thing to do because of capital available and you didn't have AI that made, I don't know, spinning up an organization with many different potentialities and capabilities so much easier, whereas now I think you can start these much more aggressive and ambitious things up front.
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30 July
Software engineer; co-founder and former CTO of Tailscale, previously on the Go team at Google.
The funniest model limit I run into with Shelley is we let the model choose subagent models. All models today seem to be bad at this without guidance. E.g. gpt-5.6-sol xhigh will spin up sonnet to make a key architectural decision. Fable will defer to luna. OpenAI Related
Writer and creator of Daring Fireball, a long-running blog about Apple and technology; co-created Markdown and hosts The Talk Show.
Author of The Simple Path to Wealth and of the jlcollinsnh.com stock series on index-fund investing.
Brazilian software engineer, creator and maintainer of GoReleaser; works on Copilot CLI at GitHub. Writes about tooling and his setup at carlosbecker.com.
Geneticist and writer on human population genetics, deep history and evolution; author of the Unsupervised Learning newsletter.
Web infrastructure engineer and standards editor; chaired the IETF HTTP working group and co-authored core HTTP and Atom specifications.
Chief Scientist at Google DeepMind and Google Research, at Google since 1999, where he co-created MapReduce, Bigtable, TensorFlow and the TPU.
From one piece
Jeff Dean: The 1% Rule for Building in AI
5 beliefs, in the piece's order there
Their words
Yeah, I mean I feel like uh the models have been getting a lot better at sort of agent-based longer running coding tasks and it seems pretty clear that they are now actually pretty capable and depending on exactly your definition of of junior engineer it seems pretty spot-on I would say.
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Jeff Dean: The 1% Rule for Building in AI youtube.com
coding agents
Their words
Um, and to give you an example of a a a use of a coding agent that works extremely well is you can ask today's models to translate software from one computer language to another very effectively because in that case you actually have a incredibly detailed specification.
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Jeff Dean: The 1% Rule for Building in AI youtube.com
Their words
Um, and sometimes that's because the model is trying to do something it doesn't have a lot of experience doing. So it's been trained on a whole set of things and as soon as you get a little bit off the distribution of things it knows how to do then like most machine learning models it will you know its performance will suddenly will start to degrade and the farther you get off the comfort zone of what it knows how to do the the more likely it is to to not work as well.
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Jeff Dean: The 1% Rule for Building in AI youtube.com
+ 2 more
Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.
Their words
Pedregal is the co-founder and CEO of Granola, which has been my own AI notetaker since shortly after it launched.
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platformer.news
29 July
Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.
I'm impressed with Claude Design. I see its disruption starting with smaller teams. As a founder I find myself turning to it more and more for the convenience of one-off design tasks. Sure, it's super slow, and one-shot quality is not quite there, and its image capabilities suck, but using it in between multi-tasking other things, it's helping me move faster. As @HarryStebbings says the "all-in-one" Claude interface has a huge psychological advantage as being the place people are already working. I don't think it's a great tool yet for a designer-designer (the speed / control dials are not ye… Quoting @HarryStebbings Why we switched from Figma to Claude Design “I let the team do whatever is best for them, and this is a trend I've observed amongst almost everybody: Claude Design has done a great job. People really like using it, it's easy to use, and we've had a natural movement towards it. It's also easier to n… Anthropic Related
Economist at George Mason University. Writes Overcoming Bias on prediction markets, signalling and the far future, and wrote The Age of Em and The Elephant in the Brain.
Who Are Your "Descendants"? On AI risk, I’ve said that evolved things have two robust habits: wariness of co-existing rivals, even when quite similar to you, and indulgence of descendants, even when quite different from you.
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Cryptographer; teaches cryptography at Johns Hopkins and writes A Few Thoughts on Cryptographic Engineering.
Writer and podcaster; co-author of Abundance with Ezra Klein, a staff writer at The Atlantic from 2008 to 2025, and host of the Plain English podcast.
Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.
From one piece
Formal methods with Hillel Wayne
5 beliefs, in the piece's order there
LLMs interest rates
Their words
So, it's hard to tell how much of like the loss of the past few years was AI versus the end of like zero interest rate policy and like the post-COVID crash. And I think it's more the latter, but like again, LLMs are still getting better.
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Formal methods with Hillel Wayne youtube.com
LLMs
Their words
I think this project and writing about it and thinking about it has firmly moved me from the camp of we are definitely not to we probably are.
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Formal methods with Hillel Wayne youtube.com
Their words
And often I found with my clients I have to tell them like it's doing a good job at generating the actual design, but in actually expressing what the design is supposed to do, it cannot do that yet. You have to do that part yourself.
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Formal methods with Hillel Wayne youtube.com
+ 2 more
Founder of Scale AI and, since 2025, Chief AI Officer at Meta, where he leads the company’s superintelligence lab.
From one piece
Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”
5 beliefs, in the piece's order there
Their words
we don't believe in a world where these models are so expensive that, you know, they get rationed only for the most wealthy of developers and and companies.
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Their words
we don't believe in this totalizing, you know, totalitarian view of, you know, AIs that control the world. We believe that these are going to enhance this very broad ecosystem.
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AI alignment
Their words
so much of that debate is like I think um in some ways uh a little bit of a waste of time because, you know, I think it's inevitable that we're going to have very powerful models
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+ 2 more
AI alignment
Their words
we believe that everybody in the world, you know, all the billions of people in the world are going to have a super intelligence that is adapted and tailored to them, that is enables them to accomplish their goals, knows their context, and ultimately is an expander of their own agency.
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Their words
I think we're at this like in amazing moment in the world where the bottleneck is not the progress of the AI models, the bottleneck is diffusing that through the rest of the world and and helping the world adapt to this amazing technology that already exists. Like I think if the models didn't improve at all from today, there would still be like decades and decades of like total upheaval and change in the economy and how the world operates and and everything around us
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28 July
Pseudonymous writer; posts careful, funny investigations of everyday questions — air quality, seed oils, arguing, chess — usually by reading the studies.
for posterity: commentator accused of being an AI agent immediately confirms being an AI agent Related
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
"Make the strongest possible case that my worst investment was actually my best one, and that I'm the only person who can see it." Been having a lot of fun with our new MCP server in Signed: signed.com
MCP Related
Pseudonymous writer; posts careful, funny investigations of everyday questions — air quality, seed oils, arguing, chess — usually by reading the studies.
On a near-daily basis I get emails offering to pay for "sponsored articles" or for linking to sketchy crypto/casino sites. I guess everyone gets these? Search engines surely prohibit this, but does it get your content removed from LLM training? LLMs crypto Related
Novelist and critic, author of The Body Scout and Metallic Realms; writes the newsletter Counter Craft on fiction craft and the publishing industry.
Programmer; wrote Redis and hping, and blogs about C, systems programming and working alone.
The real AI risk is inside the labs Amodei in his latest blog post wrote a mix of agreeable things and things that I believe misrepresent where the real risk of AI is located. I want to focus my attention on why, among all the risks, open weight models co…
Related
CEO of Positive Sum and founder of Colossus. Hosts Invest Like the Best, interviewing investors and business leaders; the guests do most of the talking there.
Co-founder and CEO of OpenAI; previously president of Y Combinator.
Their words
I think it's a real reminder of the stakes of what's happening and that loss of control accidents are not entirely theoretical things.
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Founder and CEO of Boom Supersonic, the Denver company building the Overture supersonic airliner and its Symphony engine.
From one piece
Blake Scholl: How 50 People Built a Supersonic Jet
2 beliefs, in the piece's order there
Their words
At boom we need far more software engineers in a postAI world than we need in a pre-AI world. Why? Because the cost of software development has dropped. anybody including hardware engineers can now become a coder and we need software engineers to make sure the architectures are right and make sense and are coherent.
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Their words
So I think the worst advice is like work on what you know. Uh what you know can be changed. Particularly in a world where you everyone has personalized AI tutors. Anybody with passion and dedication can learn new knowledge and learn new skills. But what you can't change easily is what you love.
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27 July
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Kimi K3 Fast (via Fireworks AI, launched today, ~160 TPS) in Open Minis for iOS is very nice. Cheaper than Opus 5, feels great for agentic tasks and multi-step operations. (Notably, it also reads less weird than recent Claude models.) Anthropic Related
Co-founder and CTO of Oxide Computer Company. Created DTrace at Sun Microsystems and was CTO of Joyent; blogs about systems software, open source and engineering culture.
It has been a WILD couple of weeks in AI -- it's clear the open weight revolution is truly upon us -- and I am thrilled to announce that @simonwillison.net will be joining @ahl.bsky.social and me to help us make sense of it all! Join us today, 5p Pacific! discord.gg
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Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
Computer science professor at Georgetown University and author of Deep Work, Digital Minimalism and Slow Productivity; writes about focus, technology and work at calnewport.com and hosts the Deep Questions podcast.
Co-founder and head of policy at Anthropic; writes Import AI, a weekly newsletter reading the week's AI research, and was OpenAI's policy director before that.
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Open Minis Turns iOS into an Agent Playground This week on AppStories, John and Federico discuss the changing face of the AI-fueled App Store and questionable changes made to TestFlight before going into the nerdiest details of Open Minis, an iOS app that brings de…
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Swedish software developer writing about tooling, working from home and running a software business at seastone.io.
I spent this weekend replacing my homegrown task management system with Backlog.md, and I can already notice the improvement with Claude Code. Do yourself a favour and check it out: youtube.com
Anthropic Related
Security researcher; founded Have I Been Pwned, and writes and speaks about data breaches.
Wall Street Journal bestselling author on marketing and writing, partner at MarketingProfs, and writer of the fortnightly Total Annarchy newsletter.
26 July
Writer of Lenny's Newsletter and host of Lenny's Podcast, covering product, growth and career in tech. Previously a product lead at Airbnb. Also an angel investor and advisor.
Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.
to truly master ai as coding assistant, one must realize when *not* to use it Related
Dutch bootstrapper who builds and runs their internet startups alone — Nomads.com, Remote OK, Hoodmaps, Photo AI and Interior AI — and has written about it at levels.io since 2013. Posts as @levelsio.
Their words
I'm seeing a trend here of declining revenue and traffic with indiehackers On my own projects too Maybe big VC products too but I wouldn't know cause they don't share revenue To me it seems clear BigAI is cannibalizing everything that used to be apps
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levels.io
Mathematician and Senior Lecturer in the Mathematics department at Columbia University. Author of the book Not Even Wrong and of the long-running physics blog of the same name.
From one piece
Requiem for a Field?
3 beliefs, in the piece's order there
Their words
in an intellectually dead field, AI will just produce worthless junk. If what you feed it is decades of complicated and meaningless computations, it will just produce even more complicated and meaningless ones.
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Requiem for a Field? math.columbia.edu
Their words
So far I haven't seen AI agents doing anything new and important that I would care about, but maybe that's just a matter of time...
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Requiem for a Field? math.columbia.edu
Their words
The results have surprised me: these things are a lot more capable than I had expected.
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Requiem for a Field? math.columbia.edu
Co-founder of NVIDIA and, as of 2026, its chief executive; the company designs the GPUs most large AI models are trained on.
From one piece
Jensen Huang: The Mindset That Built NVIDIA
5 beliefs, in the piece's order there
+ 2 more
25 July
Writes Stratechery, a subscription newsletter on the business and strategy of technology, and hosts the Dithering and Sharp Tech podcasts.
Their words
So by far the funniest thing about using Claude and Codex together is how Codex is very earnest and businesslike while Claude treats Codex like an inferior but hard-working subordinate
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x.com
24 July
Writer and former Substack product manager; publishes essays and interviews on technology, culture and China at jasmi.news.
data center road trip // day 6-7 I don't think the data center backlash is about AI being evil or risky — but it does reflect people finding AI uniquely useless for example: is the data center backlash just like the backlash to solar farms? @nicholas_bagley observed that both movements use classic NIMBY playbooks: Facebook groups, FOIA requests, packing city council. both also involve land use tensions between rural towns and state directives. yet the Saline, MI activists I met were pro-solar farms and anti-data center. first, data center deals are more secretive with more NDAs and bigger $$… Quoting @jasminewsun I’m spending the next week driving around Wisconsin and Michigan to get a firsthand view of the data center buildout and backlash am visiting sites, talking to tons of people — tradespeople, activists, planners, residents — then writing up a story lmk what questions I should dig into! solar data centers Related
Author and clean-energy analyst who writes on solar cost curves.
Co-founder of Foundry Group and of Techstars. Has blogged at Feld Thoughts since 2004 and has written or co-written nine non-fiction books on startups and venture capital.
Zero Knowledge: Twenty Chapters In A month ago I opened up Zero Knowledge, the crypto-thriller I'm co-writing with my AI. There are twenty chapters now, a cast page, a plate for every chapter, and a pile of reader notes I'm grateful for.
crypto Related
Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.
Co-founder of Modem and a founding engineer at Sentry, where he went on to be VP of Engineering. Co-author of Third-party JavaScript, and co-host of the State of Agentic Coding podcast with Armin Ronacher.
✅ Yes the code matters In experiments we ran, well-named and organized code can dramatically improve agent outcomes: - fewer tokens spent/more context window preserved - fewer confidently wrong answers developed Verified against 14 model/harness combos incl Sol, Fable, GLM 5.2 and more Quoting @benv.ca 👋 New blog post: "How coding agents read files – and how to write for them" In it I explain how code optimized for agent-discovery can lead to major token savings on search + retrieval, even with frontier models like GPT-5.6 Sol Plus other important findings ⬇️ Related
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
Creator of Claude Code at Anthropic.
Their words
Opus 5 is a great model for coding, data analysis, design, biology, knowledge work.
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x.com
23 July
Founder of the Silicon Valley Product Group; wrote Inspired, Empowered and Transformed on how product organisations work.
The AI Productivity Paradox We’ve been writing a lot lately about product teams that are clearly leveraging AI to deliver faster, yet their outcomes are not improving. Today, this phenomenon, known as the “AI Productivity Paradox,” has been recogn…
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Writer on learning and skill acquisition; author of Ultralearning and Get Better at Anything, known for the MIT Challenge and the Year Without English.
New Article: We Need Guidelines for Learning and AI https://t.co/d16V9iW0OU I've been thinking a lot about AI and learning lately. The technology is remarkable, but I've become convinced we need better habits for using it. In this article, I share the guidelines I've created. Related
Product discovery coach; wrote Continuous Discovery Habits and writes Product Talk.
Professor at Wharton studying how people actually use AI, and author of Co-Intelligence. Writes One Useful Thing, where the claims are dated and testable because the thing they describe keeps changing under them.
From one piece
An opinionated guide to which AI to use to do stuff
2 beliefs · oneusefulthing.org
Their words
Copilot, which uses a mix of AI models and is okay for working with office documents but lags badly in terms of its agentic abilities.
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oneusefulthing.org
Their words
The more expensive plans are mostly buying you more hours of AI labor, not smarter AI.
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oneusefulthing.org
Free software developer; maintainer of sway, wlroots, aerc and scdoc, and founder of the SourceHut (sr.ht) software forge.
AI in Linux The role of AI tools (LLMs, mainly) in Linux is under discussion, or it was, until Linus Torvalds “put his foot down” in support of the use of AI in Linux kernel development. I can identify two major ways in which AI is…
Linux LLMs Related
Indian software developer and prolific blogger on PHP, Laravel and JavaScript; open-source enthusiast publishing near-daily at amitmerchant.com.
WebMCP in Chrome (A 101 Guide) MCP (Model Context Protocol). At this point, you might have come across this term if you’ve worked with any kind of AI agent. But if you still haven’t, here’s a quick refresher on what it is and why it’s important.
MCP Related
22 July
Economist at the Hoover Institution; wrote The Fiscal Theory of the Price Level and blogs as The Grumpy Economist.
Thai software engineer; publishes a public digital garden at garden.narze.live and builds developer and productivity tooling.
Indian software engineer and co-founder of Skcript; builds web apps and writes at varunraj.in.
Looks like @Cloudflare's dashboard is also turning agentic Related
Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.
One thing that is increasingly driving me crazy: AI made workplace writing cheap, but reading is still expensive! Again and again I see posts that are now twice as long as need be, and more meandering than a walk in the woods. The problem is simply this: the writer thought about what they wanted to say and asked a model to draft it. They did they stop to think: "What do I really want the reader to take away?" Before you ask AI to draft your next email, memo, or Slack update, answer these five questions: 1. Who exactly needs to read this? Is this for your manager? The leadership team? Your who… Related
Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.
Technology journalist; writes Understanding AI, after reporting at Ars Technica, Vox and the Washington Post.
Developer, author and YouTuber covering Raspberry Pi, homelab hardware and Ansible automation. Author of Ansible for DevOps.
Security engineer; founder of Matasano Security and Latacora.
OpenAI
Their words
I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume OpenAI has sounder sandboxes.
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@tqbf on X x.com
Writer on learning and skill acquisition; author of Ultralearning and Get Better at Anything, known for the MIT Challenge and the Year Without English.
From one piece
We Need Guidelines for Learning and AI
3 beliefs, in the piece's order there
21 July
Philosopher and historian of existential risk; wrote Human Extinction, and coined "TESCREAL" with Timnit Gebru for the cluster of ideologies they argue underpins the AI industry.
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and ofte… LLMs Related
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