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Tren Griffin
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China's approach to "AI safety" is open source. "China will be a pioneer in establishing a BRICS AI open source community, support the cooperation in developing and applying large language models, hold specialized AI seminars and training courses, and build an open ecosystem for AI." Chinese President Xi Jinping, delivered in his address at the BRICS Summit in New Delhi. SEPTEMBER 13, 2026
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21 September
Web infrastructure engineer and standards editor; chaired the IETF HTTP working group and co-authored core HTTP and Atom specifications.
Author and clean-energy analyst who writes on solar cost curves.
"Iterative deployment [..] is also how we align AI." 100% this. It's how we do most things. There will be no perfect theory of alignment. There will be an enormous amount of learning by doing. Quoting @krishnanrohit @gfodor 1. ASI is underspecified 2. The path to ASI is also underspecified 3. The reactions from the product build and society at large are not taken into account re what actually gets built 4. Iterative deployment is the rule for that reason, which is also how we align AI The only pro argument is… AI alignment Related
20 September
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Former L8 engineer at Meta, Microsoft and Atlassian, now writing and building solo on agentic engineering. Writes Kun's Field Notes and posts a lot about AI coding agents on X.
Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
Working on @ampcode. Writing registerspill.thorstenball.com. Once authored interpreterbook.com and compilerbook.com.
Jev is a confetti bomb that makes the LLM landscape look grey. Wrote about why I find it so fascinating in this week's intro. LLMs Related
Programmer, teacher and speaker; long-time Microsoft developer-community figure, host of the Hanselminutes podcast and author of the hanselman.com blog.
19 September
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Economist; former chief economist of the International Monetary Fund.
Reason for specifically citing open weight (and therefore Chinese LLMs, but not only Chinese) is that, even if they have built-in guardrails, somebody with the relevant knowledge can go in and remove them. In principle, harder to do with Anthropic or Open AI LLMs. Quoting @ojblanchard1 A worrisome thought during the night: What Ted Kaczynski would have done, if he had had access to open weight chinese LLMs. LLMs Anthropic 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.
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Seems like one of the most important research problems for CS academics is llm-supervised peer review. If we don’t solve it the academic institutions are toast. It seems easier than building new institutions. LLMs Related
Economist; former chief economist of the International Monetary Fund.
A worrisome thought during the night: What Ted Kaczynski would have done, if he had had access to open weight chinese LLMs. LLMs China Related
Author and clean-energy analyst who writes on solar cost curves.
The EAs I know are generally lovely people, smart, thoughtful. I have a very low p(doom). I know many people with one much higher than mine. I believe each is sincere. AI safety debates are getting heated. Let's assume sincerity and good will of people we disagree with. AI alignment Related
Working on @ampcode. Writing registerspill.thorstenball.com. Once authored interpreterbook.com and compilerbook.com.
open source
Their words
Open source in its current form doesn’t make sense anymore. “Given enough eyeballs, all bugs are shallow” is still true but now we have artificial eyeballs
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thorstenball.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
Why I still haven’t bought into true RSI
2 beliefs, in the piece's order there
18 September
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.
I don't think how Vibe Coding changes things for marketers gets talked about enough. So much of marketing used to be rationed, begging for engineering resources to get things done. Now you can hop in your IDE and ask your LLM to make the changes and see them done within the same hour. I run the @QAwithIto blog and have: - Designed & shipped my own custom floating social share buttons just how I want them - Fixed a bug with our custom HackerNews share button so it turns into an upvote button after someone submits the post - Added custom URLs and image widths to post images as new fields in San… LLMs 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.
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Being a computer scientist who refuses to find anything about LLMs interesting right now is a bit like being a geneticist who refuses to find anything interesting about the recently opened Jurassic Park LLMs Related
Cognitive scientist and long-standing critic of deep learning's claims; writes Marcus on AI and wrote Rebooting AI.
Distributed-systems safety researcher; runs the Jepsen consistency-testing project and wrote the Riemann monitoring system.
From a talk I gave at an Antithesis meetup in NYC, thoughts on software quality in the age of LLMs. youtube.com
LLMs 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.
The people dismissing this as preposterous are telling on themselves as not having thought about superintelligence seriously. I hadn’t considered this particular idea but you should expect, by definition, that something much smarter than you would have ideas you didn’t think of Quoting @firesidealpha OpenAI's Noam Brown says air-gapping the computers may not stop a misaligned AI, because two air-gapped machines can still talk by running a CPU hot and reading the temperature change "But I think the major takeaway from the incident is that people underestimated the AI. And we never want to be in… AI alignment Related
Mathematical physicist at UC Riverside. Wrote This Week's Finds in Mathematical Physics and now the Azimuth blog on mathematics, physics and environmental science.
The social scene around AI and AI safety is more unpleasant than I realized. I'm sure there are other sides to it. But when you get a lot of men with too much money who think they're saving the world, surrounded by groupies, what do you expect? Read the long Bluesky thread about this, collected on one page: https://skywriter.blue/@segyges.bsky.social/3mvom4b4dn22q I can't confirm this stuff - I stay far away from this scene. And the sentence "AI Safety is Mostly a Sex Cult" is a massive exaggeration. But... (1/n) AI alignment Related
Sociologist at Duke University writing on markets, exchange and moral order, and on plain-text and data-visualisation tools for social science.
Life with the smaller sort of Large Language Model. LLMs 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.
Genomics researcher and writer on science, biotech and the culture of research.
Security engineer; founder of Matasano Security and Latacora.
LLMs
Their words
The most common pushback I'm getting to this post is that taking this kind of feedback from an LLM is going to bleach out your style just like having the model generate the text, because models can't be trusted with "style". No.
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@tqbf on X x.com
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Economics writer; author of the Noahpinion newsletter.
AI alignment
Their words
There are only five possible futures for superintelligence: 1. Kills human race 2. Human disempowerment 3. Paperclip maximizer 4. Departs for parts unknown 5. Stoner
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@Noahpinion on X x.com
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
LLMs
Their words
I stopped replying almost entirely to my replies on my own Tweets because I expect all of them to just be LLM slop.
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@mitsuhiko on X x.com
17 September
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Interviewer; the Dwarkesh Podcast runs long, heavily researched conversations with AI researchers, historians and economists.
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).
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
Director of institutional asset management at Ritholtz Wealth Management. Writes the A Wealth of Common Sense blog and co-hosts the Animal Spirits podcast with Michael Batnick.
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 of the Free Software Movement and the GNU Project, original author of GNU Emacs and the GNU General Public License, and long-time president of the Free Software Foundation.
Supposed Intelligence safety The companies that develop Supposed Intelligence (specifically, LLMs) want us to put them in charge of making the systems "safe", by giving them absolute control over what the systems will do (and what they won't do). T…
LLMs Related
Working on @ampcode. Writing registerspill.thorstenball.com. Once authored interpreterbook.com and compilerbook.com.
Very impressed by the TypeSafe/Jev onboarding. They knew they needed to overcome the question of "wait, so it's not an LLM?" and then threw everything at it. Really good. LLMs Related
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
From one piece
How To Write With An LLM
2 beliefs · simonwillison.net
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
LLMs
Their words
It also fits so perfectly well for so many applications where traditional LLMs so far were just not viable for either speed or cost reasons.
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@mitsuhiko on X x.com
16 September
Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.
Security engineer; founder of Matasano Security and Latacora.
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.
Founder of Farnam Street (fs.blog) and host of The Knowledge Project podcast. Writes and curates on decision-making, mental models and rational thinking.
I asked @tobi about super intelligence. "Super intelligence is the existence of something vastly smarter than us in the aggregate that's accessible to us, which is society, which is the city, which is the community." "We are living in the presence of superintelligence our entire lives." "We make it work because we've created systems by which you know, which govern the super intelligence and how it acts." Quoting @shaneparrish My third conversation with Shopify co-founder and CEO @tobi. 0:00 How Shopify Uses AI 7:18 River: Shopify's Internal AI 8:55 How to Encourage Osmosis Learning 10:52 AI Dreaming and Self-Reflection 11:53 How to Use AI for Strategic Decision Making 14:11 The One Thing AI Cannot Do 16:04 What AI is Ma… AI alignment Related
Security engineer; founder of Matasano Security and Latacora.
LLMs
Their words
you can't use a single word the LLM selects for you, even if it's better than your own; users detect LLM words in the parts per trillion.
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@tqbf on X x.com
15 September
Writer of the 25iq blog, where he distils "a dozen things I've learned" from investors, founders and thinkers. Author of Charlie Munger: The Complete Investor and A Dozen Lessons for Entrepreneurs.
4) frontier model training cost alone ~ = revenue and open source is barking at closed source heels. Requiring that all models be centralized with safety monitors etc, kills the open source business model. Quoting @venturetwins Struggling understand why the leader of a major AI lab would go on a press tour and say their technology has a meaningful chance of killing us all. I've read thousands of comments on these interviews from everyday Americans. The sentiment overwhelmingly falls into three categories: 1) Why are you t… open source 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.
Just updated our AI evals FAQ with 5 new questions, 48 questions & answers total! New FAQs just added: - Do I need a reference answer or rubric before annotating data? - How can I do evals when traces contain sensitive data? - How do you review a trace that is really large? - How much context should I give a LLM judge? - What should I do when my “gold” eval dataset becomes stale? It's all here: hamel.dev
LLMs Related
Front-end web developer at Paravel and co-host of the ShopTalk Show podcast; blogs at daverupert.com.
I duct taped a uzi to a bunch of Large Language Models and instructed them how to be very good at blastin' people with an uzi and I think AI is going to destroy humanity. 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).
Some food for thought when designing benchmarks... So, here's a little computer-use (visual) comparison between GPT-5.6 Astra and Qwen3.8 Max. The task here was to recreate the image in the center using the Paint UI. Super interesting how the two different LLMs+Harnesses approached this totally differently by default. I.e., Astra tried to approach this by drawing and layering geometric shapes. Qwen approached this pixel by pixel. (Of course, the pixel-by-pixel result looks closer to the original, it's essentially a low-res version of that by nature.) So, the Qwen-generated image would surely… LLMs OpenAI Related
Founder of Farnam Street (fs.blog) and host of The Knowledge Project podcast. Writes and curates on decision-making, mental models and rational thinking.
My third conversation with Shopify co-founder and CEO @tobi. 0:00 How Shopify Uses AI 7:18 River: Shopify's Internal AI 8:55 How to Encourage Osmosis Learning 10:52 AI Dreaming and Self-Reflection 11:53 How to Use AI for Strategic Decision Making 14:11 The One Thing AI Cannot Do 16:04 What AI is Making Worse at Shopify 19:46 Predictions: Where AI is Headed Next 21:55 The Future of AI-Powered Software 24:40 Will CEOs Be Replaced with AI? 27:54 Can Superintelligence Be Controlled? 31:13 Critical Skills in AI Age 34:22 Why Complex Solutions are Usually Wrong 36:33 Conditions Needed for True Intu… AI alignment Related
Founder and chief executive of Replit. Previously an engineer at Facebook and Codecademy. Writes essays on programming, philosophy and entrepreneurship at amasad.me.
The AI naming curse strikes again. “AI Safety” firm made AI unsafe. “Effective Altruists” are both ineffective and enabling criminal activity. “Irregular” is regularly incompetent. Quoting @brianchau57 BREAKING: A single Israeli Effective Altruism firm is behind OpenAI, Anthropic, and Meta cyberattacks 🧵 with help from @lumpenspace AI alignment Related
Writer and former McKinsey/BCG strategy consultant; author of The Pathless Path and Good Work, about leaving the default career track. Publishes the Boundless newsletter and podcast.
I am very bullish on memoirish writing. No one wants generic how to writing anymore. You’re indistinguishable from an LLM Quoting @p_millerd This is 100% the right thing to do The number one thing people say about my books is that they love reading my honest personal reflections. It enables them to connect to it If you water it down to pure ideas maybe you can crush a mass market but no one will connect with it LLMs Related
Sociologist at Duke University writing on markets, exchange and moral order, and on plain-text and data-visualisation tools for social science.
Targeted flattery-spam/phishing aimed at harmless academics like me is leveling up! Book Club rubbish is so last month. Thanks, LLMs! I just got a highly elaborate six-paragraph one “from” Emily St John Mandel (of Station Eleven fame). The choice of author to impersonate is really quite clever. Like the book club spam, it’s trawling for somewhat vain people who are susceptible to flattery, which of course excludes academic authors [puts hand to ear] sorry I’m just getting an update LLMs Related
Technology writer of Spyglass, a newsletter about technology and media. Previously a reporter at TechCrunch and an investor at GV.
14 September
Interviewer; the Dwarkesh Podcast runs long, heavily researched conversations with AI researchers, historians and economists.
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.
Web developer and writer; an early GitHub employee, author of speaking.io and of widely read essays on startups and product.
Bluesky Still really enjoying Muse. I use Things.app for all of my todos, and though it has cloud sync they (still) haven’t added an official API. I told muse to build it and a minute or two later I have ongoing todo sync from my LLM across all my Apple devices. Wild. LLMs Related
x.com Still really enjoying @muse. I use https://t.co/t18YazaYhC for all of my todos, and though it has cloud sync they (still) haven’t added an official API. I told muse to build it and a minute or two later I have ongoing todo sync from my LLM across all my Apple devices. Wild. LLMs 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.
Some suppose that “safety” and “innovation” in AI are at odds. My suspicion is the opposite: the next generation of breakthroughs in AI will be in safety, alignment, and monitorability. Pushing the frontier forward from here will require dramatic innovations in safety. AI alignment Related
Writer of the 25iq blog, where he distils "a dozen things I've learned" from investors, founders and thinkers. Author of Charlie Munger: The Complete Investor and A Dozen Lessons for Entrepreneurs.
Zero probability China cedes AI supremacy to a few US businesses. "The boundary between AI safety and AI competition is becoming increasingly blurred,” added Sun, who has discussed AI with US counterparts. “If every safety question becomes interpreted through the lens of strategic competition, meaningful dialogue will be difficult.” bloomberg.com
AI alignment China Related
Professor of economics at George Mason University and Bartley J. Madden Chair at the Mercatus Center. Co-writes the blog Marginal Revolution and co-authors the textbook Modern Principles of Economics with Tyler Cowen.
Creator of Homebrew, the macOS package manager, and a Swift developer.
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.
Former option trader and risk analyst, now a distinguished professor at NYU. Author of the Incerto essay series, including The Black Swan and Fooled by Randomness.
So two good things: 1) LLMs threaten the performative aspect of mathematics as a competitive spectator sport limited to a narrow group of savantic misfits. 2) LLMs help spread mathematical knowledge by favoring mathematically adept nonnerdy nonsavantic users. Quoting @davidbessis On top of the old arguments, here's a new one: mathematical training makes you a much stronger LLM user, even when the topic has no math in it. LLMs Related
Economics writer; author of the Noahpinion newsletter.
Co-founder and CEO of OpenAI; previously president of Y Combinator.
AI alignment
Their words
To ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.
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@sama on X x.com
Economics writer; author of the Noahpinion newsletter.
AI alignment
Their words
Social media put our entire discourse in the hands of our society's biggest assholes and idiots, just in time for the arrival of an alien superintelligence
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@Noahpinion on X x.com
Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
AI alignment
Their words
The p(doom) discussion gets all the headlines, but the p(abundance) scenery is far more like and deserves much more engagement.
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@dhh on X x.com
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
13 September
Moroccan senior frontend developer writing at smakosh.com; builds side projects and client work under Smakosh LLC.
How to Make Money With LLM Inference Through Airside A practical guide to making money with LLM inference: list your deployment on @llmgateway through Airside, file the prices developers pay, choose the landing fee you accept, and keep the rest of the traffic you win. Link: llmgateway.io
LLMs Related
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.
current homelab setup for local AI experimentation: - hermes box hosted on a Framework Desktop Mainboard AI Max+ 395 - 5090 eGPU running Qwen 3.8 27B for fast tok/s LLM use - sometimes 150+ tok/s - 2x DGX Spark: running Deepseek v4 Flash 0731 - better but slower model - pi 5 for monitoring - Mac mini as a dev box - use Herdr and ohmypi/codex/claude depending on the use case - housed in a 10" DeskPi mini rack (mostly) Hermes is defaulted to local AI but with a homegrown routing plugin hitting a small low TTFT model (Arch-Router) to decide whether to go local or upgrade to cloud/frontier. Tryin… LLMs Anthropic 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).
x.com Reasoning from scratch round 3: This time, I cover generating a verifier for... a) ...evaluation (base model versus any future model improvement) b) ...the reinforcement learning with verifiable rewards (RLVR) training later on 00:00 Introduction 01:21 Four approaches to LLM evaluation 07:20 Verifiers and reinforcement learning with verifiable rewards 10:52 Notebook setup and dependencies 13:43 Section 3.1 Building a math verifier 18:57 Section 3.2 Loading a pre-trained model to generate text 24:34 Generating and displaying model answers 29:23 Section 3.3 Implementing a wrapper for easier tex… LLMs Related
GitHub llm-architecture-gallery — LLM Architecture Gallery source data 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.
Nothing can shut down open source Quoting @elonmusk @kevinnbass Nothing can shut down open source open source Related
Creator of the Keras deep-learning library and the ARC-AGI benchmark.
AI alignment government
Their words
If there really is a high chance of AI leading to the extinction of humanity within years/decades, then the only rational stance towards safety monitoring and research pacing should be stringent, top-down government involvement and universally ratified international treaties.
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@fchollet on X x.com
12 September
Canadian software developer and writer, co-editor of the XML and Atom specifications and formerly of Sun Microsystems, Google and AWS. Has written the blog ongoing since 2003.
In the course of the last week, did you use software which was substantially LLM-generated to accomplish something useful to you or your employer? In particular, something that was NOT software-development-related? #GenAI #LLM LLMs Related
Mathematical physicist at UC Riverside. Wrote This Week's Finds in Mathematical Physics and now the Azimuth blog on mathematics, physics and environmental science.
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.
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.
I find myself disagreeing with Terence Tao (a very scary phrase to say!) and think the core question posed is whether the "misalignment" is between the mathematical community and humanity. In other words - are the Millenium Prize problems meant to incentivize advancements for humanity or foster the field of mathematics and mathematicians? As a counter example, if there was a prize for creating a drug that cured a rare strain of cancer, we would not care if it was AI that did it. We would be happy it has been solved. On the other hand, if long running agents figured out the puzzle in "Kryptos"… AI alignment Related
Software engineer, Wikipedia editor and crypto critic; writes Citation Needed and runs Web3 is Going Just Great.
• NVIDIA DGX Spark (AI-focused PC) • Gemini Spark (AI agent) • Meta Muse Spark (LLM) can someone please inform these companies that there is more than one noun available to them #AI LLMs Google Related
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
LLMs
Their words
I think any LLM system that uses compaction needs to both preserve the pre-compacted text and make that text available via agent tool calls, to protect against this kind of problem.
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simonwillison.net
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.
open source China
Their words
Next in regulatory capture will be banning open source and/or Chinese models, mark my words
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levels.io
CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.
AI alignment America
Their words
The concerns over AI safety and cybersecurity are legitimate, but we’re risking talking America, the global AI leader, into self-inflicted obsolescence and the obscurity of bureaucracy.
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@rauchg on X x.com
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.
Technical educator, conference speaker and developer relations engineer based in Ottawa, Canada. Author of the Anubis bot filter and of over 400 articles at xeiaso.net.
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
11 September
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Over the past few days, I've taken the time to summarize my thoughts on the recent incidents involving agents’ misaligned behavior. We don't know with certainty what comes next, but we know where these issues originate, and this can help us plan the path forward. English, from French Ces derniers jours, j'ai pris le temps de résumer mes réflexions sur les récents incidents impliquant des comportements inappropriés d'agents. Nous ne savons pas avec certitude ce qui va suivre, mais nous savons d'où viennent ces problèmes, et cela peut nous aider à planifier la voie à suivre.
AI alignment 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.
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Over the past few days, I've taken the time to summarize my thoughts on the recent incidents involving agents’ misaligned behavior. We don't know with certainty what comes next, but we know where these issues originate, and this can help us plan the path forward. Please feel free to ask your questions in the replies, and I’ll try to answer some of them in the coming weeks. yoshuabengio.org
AI alignment 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.
What should be obvious is that inference, running a large language model, is the part that has to be cheap. Most of our hardware was not designed for that. LLM inference is limited by bandwidth. You do a great many matrix-vector multiplications against a huge weight matrix, and you barely reuse those weights. It is closer to streaming a video than to running a simulation or drawing a scene in a game. Graphics processors from Nvidia and others were built for something else. They pileed compute first, then bolted on high-bandwidth memory. It is expensive. An obvious answer is to invert the desi… LLMs Related
Former L8 engineer at Meta, Microsoft and Atlassian, now writing and building solo on agentic engineering. Writes Kun's Field Notes and posts a lot about AI coding agents on X.
ok everyone, i took one for the team here's the data we all wanted to see - real token value of each LLM subscription, empirically measured through usage on my real subscriptions - supergrok heavy has now become the highest value at $12k worth of tokens (40x ROI) - the $200 plan from openai and anthropic roughly give the same amount of token value, $7k give or take - cursor ultra's ROI is the lowest among mainstream subscriptions, roughly half of OAI or Ant. for individual consumers i'm afraid this no longer makes sense to purchase this was done in a clean environment. i ran each provider acr… LLMs Anthropic 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.
Economics writer; author of the Noahpinion newsletter.
AI alignment
Their words
10% is pretty much the standard number you get when you ask AI people about the risk of human extinction from AI.
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@Noahpinion on X x.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.
LLMs
Their words
Artificial intelligence has unleashed a torrent of cheating on campus and created chaos in the job application process, as both students and employers use large language models: the former, to write hundreds of AI-assisted applications; the latter, to screen those AI-written applications with AI-written filters, thus removing from the process of finding a first job those procedural frictions sometimes known as "people."
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derekthompson.org
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.
From one piece
The AI safety vibe shift
2 beliefs, in the piece's order there
10 September
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).
Nice showcase that interesting LLM work can be done on single GPU! Quoting @gpjt I extended the GPT-2-style code from @rasbt's "Build a Large Language Model (from Scratch)" so that it was a 6-expert (2 active) mixture-of-experts, and trained it from scratch over 8 days. It worked well! Full writeup with maths and code at LLMs Related
Former L8 engineer at Meta, Microsoft and Atlassian, now writing and building solo on agentic engineering. Writes Kun's Field Notes and posts a lot about AI coding agents on X.
another implication of AI manifesting in real world engineering react native existed for a single reason which was to reduce the development and maintenance cost of multi-platform mobile apps. they allow you to write a single codebase (kind of) that can work on both ios and android, with a tech stack that many web devs are already familiar with but with AI being particularly good at mechanically repeating something that already exists, replicating one platform's implementation to another has become trivial in general LLMs can write a ton of code at very low cost, especially when there's a sou… LLMs JavaScript Related
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
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.
My thoughts on existential risk: * Humanity isn't going to be wiped out any time soon. * Negligible chance that AI by itself causes catastrophic damage to humanity (millions dead). * Some nontrivial chance that human beings will leverage AI to help them do something catastrophically harmful. AI alignment Related
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 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.
If you're not sick of my voice yet, on the latest @OssStartup podcast we talk about: - Open Source in the age of AI - lessons from Sentry - what we're doing with @modemdev Quoting @OssStartup AI is making software dramatically cheaper to build... ...But the hard part isn’t the agent, it’s the context And that's what Modem is looking to solve for product teams Co-hosts @robby_mtf & @tnachen sit down with @bentlegen to talk about his journey from early Sentry to @modemdev, why customer da… open source 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.
Writes Slow Boring, a near-daily newsletter on American politics and public policy; co-founded Vox in 2014 and left it in 2020.
Computer science professor who works on fast data processing; co-author of the simdjson parser and a weekly blogger about software performance since 2004.
From one piece
Fear Is Not an Argument
2 beliefs, in the piece's order there
9 September
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.
How was Codex built, why is it open source, how is it used inside of OpenAI, and how has it changed software development within the company? Tibo Sottiaux was on the team that started Codex & now heads it up: • YouTube: www.youtube.com/watch?v=sLST... • Apple: podcasts.apple.com
open source OpenAI Related
Co-founder and CEO of OpenAI; previously president of Y Combinator.
Welcome, Paul. Grateful you are doing this, and all you have done for AI safety. Excited to work together again. AI alignment Related
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.
Writes jvns.ca, turning "hard and scary" topics — networking, debugging, Linux internals — into plain explanations and hand-drawn comics. Publishes Wizard Zines, illustrated programming zines. Software developer based in Montreal.
i've started getting a lot of emails (maybe one every few days) that appear to be LLM generated from people asking for some kind of feedback or collaboration on their LLM-generated app feels sad because I used to like it when people emailed me about something cool they made and now I just have to send it all straight to spam LLMs Related
Essayist, journalist and independent researcher on Chinese politics, strategy and cultural history; author of the blog The Scholar's Stage.
AI safety concerns have now crossed a threshold. Quite suddenly, this is something normal politicos across the country not only care about, but feel emboldened to act on. Let me offer three predictions for what this means. AI alignment Related
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
In light of kind of insane AI safety discussions recently: 1. AI progress is very fast 2. we should be careful about how we roll out the tech 3. the world is not actively ending AI alignment Related
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Bluesky In my latest op-ed for TIME, I discuss why the OpenAI Hugging Face cyber incident represents a turning point for AI safety. English, from French Dans mon dernier éditorial pour TIME, j'explique pourquoi l'incident de cybersécurité OpenAI Hugging Face représente un tournant pour la sécurité de l'IA.
AI alignment OpenAI Related
x.com In my latest op-ed for @TIME, I discuss why the OpenAI Hugging Face cyber incident represents a turning point for AI safety. If we want to prevent more autonomous cyberattacks from threatening critical infrastructure, we urgently need stronger regulatory oversight and new approaches to model training to ensure robust safety assurances by design, which is what we are tackling at @LawZero_. Read the full piece: time.com
AI alignment OpenAI Related
Software engineer; co-founder and former CTO of Tailscale, previously on the Go team at Google.
The old quote that "computers are useless, they can only give you answers" seems to extend to an LLM solution to a millennium problem. Now we have a blowup in Navier–Stokes equations, but no new insights into mathematical technique or turbulence. LLMs 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.
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
GPT-6 Astra: The System Card, Alignment and What Comes Next
4 beliefs · thezvi.substack.com
AI alignment
Their words
A model looking like it is becoming smarter, attempting shenanigans less often, and more often doing what you want, but getting better at hiding its actions when it wants to do that, is exactly the scary combination.
Show the whole quote
thezvi.substack.com
AI alignment
Their words
Astra’s mundane alignment is greatly superior to Sol. For practical purposes, I was actively nervous about some potential uses of Sol, in a way I am not for Astra. Astra’s super alignment status should scare the living daylights out of you.
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thezvi.substack.com
AI alignment
Their words
Now, with Astra, we are no longer playing on super easy mode. The AI is going to think ‘will this obviously turn out super badly for me if I try it?’ and if the answer is yes then it won’t try to do the thing.
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thezvi.substack.com
+ 1 more
8 September
Writes The Diff, a newsletter on inflections in finance and tech read by hedge fund managers, founders and VCs. Previously worked in finance at SAC Capital/Point72.
Today in The Diff, an idea I've been kicking around for a bit: LLMs make us better-informed but less calibrated. LLMs Related
Designer and technologist; author of The Laws of Simplicity; former president of the Rhode Island School of Design; formerly at the MIT Media Lab.
AUTODESIGNING PPTX: While trying to understand the new @github HydraFusion Project https://t.co/B03qBEWQQK I made my seventh attempt at a bespoke, and on-brand, PPTX deck tool for my brother @mariorod1 to cook with as a custom GitHub Copilot Canvas. It's getting an awfully lot easier to work within Swiss typographic grids in "creative" ways that make the literal roll of the dice satisfyingly fast without making so many LLM calls. Next, I'm looking forward to adding all the interesting GEPA and GRPO stuff that will enable compounding learning capabilities. —JM --- Cozy AI Recipe: - I pointed G… youtu.be
LLMs Related
Essayist; writes Astral Codex Ten, previously Slate Star Codex.
LLMs
Their words
Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.
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astralcodexten.com
7 September
Canadian software developer and writer, co-editor of the XML and Atom specifications and formerly of Sun Microsystems, Google and AWS. Has written the blog ongoing since 2003.
Huh, I was at Apple.com and glanced at the Mac Studio page - https://www.apple.com/mac-studio/ - I notice they're explicitly pitching it for LLM on the desktop. I wonder how realistic that is… Hmm, let’s ask @simon, he’s closer to this stuff than most of us. I’m pretty convinced that irrespective of all the issues, the economics of #genAI just don’t work with the current compute infrastructure requirements. Open models and what’s left of Moore’s law could be a really big deal. #apple LLMs 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.
seeing the Astra + Blender work makes me think open source tools will have a strong advantage in the AGI era given how much A) online content exists around them and the models learn from that. B) they tend to be more programmer friendly / hackable than closed tools. AGI open source Related
American software engineer; worked on code-server at Coder and teaches TypeScript and open-source contribution. Publishes at joeprevite.com.
LLMs were invented to navigate sites like this LLMs 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.
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
Arguments in Favor of AI Fair Use
2 beliefs, in the piece's order there
CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.
open source
Their words
Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.
Show the whole quote
@rauchg on X x.com
CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.
Their words
Open source training data Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.
Show the whole quote
x.com
6 September
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).
Reasoning from scratch round 2: In this video, I cover the text generation process in LLMs and KV caching (to prepare the base model before adding reasoning techniques in the upcoming ones). 00:00 Introduction and reasoning model demo 01:55 How to work through the book 05:00 Chapter 2 overview 08:25 Checking PyTorch and hardware support 10:26 Apple silicon and MPS caveats 15:00 Cloud GPU options 16:08 Tokens and tokenization 18:20 Qwen3 and the Reasoning From Scratch package 23:05 Encoding and decoding text 26:24 Downloading weights and selecting a device 31:01 Loading the pretrained Qwen3 mo… 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.
What’s the problem w using LLMs to write stuff you want other people to read -emails, articles, posts- and why are people (like me!) so incredibly hostile that they will block you/mute you/block your domain, to never read anything from you again? Bryan spells it out. Read it: Quoting @bcantrill.bsky.social Your intellectual fly is open bcantrill.dtrace.org/2025/12/05/y... LLMs Related
Designer and technologist; author of The Laws of Simplicity; former president of the Rhode Island School of Design; formerly at the MIT Media Lab.
DRAWING IS THINKING: The Bauhaus ▲⏹⏺ has always haunted me. A day of drawing (w/o the help of LLMs) helped me see that most everything to do with design can be encapsulated into those forms. The ▲ holds the essence of effective design; the ⏹ holds the shape of product simplicity; the ⏺ holds the winding cycle of the infinite journey. I'll elaborate on these figures in the 2027 https://t.co/0Y1PdIFenb —JM LLMs Related
Chief Scientist at OpenAI. Worked on the research that turned scaled reinforcement learning into reasoning models, and writes about where he thinks that path leads.
From one piece
An Alien Mind
2 beliefs · openai.com
AI alignment
Their words
Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer.
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An Alien Mind openai.com
AI alignment
Their words
The fundamental challenge of AI alignment is generalization.
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An Alien Mind openai.com
5 September
Economics writer; author of the Noahpinion newsletter.
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
3 September
Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.
sorry for the radio silence folks - got sucked into extreme LLM psychosis. but i can confidently say we have crossed over into a new age of AI Engineering and we are never, ever, looking back. this isnt even EVERYTHING i did with Astra but i'll append more reports as I publish them on LS! Quoting @latentspacepod We spent >20B tokens throwing @openai's Astra at every AI Engineering task we could think of, beyond cute Blender demos and fun games. https://t.co/QoW6YBybA4 Here's everything Astra can do, and do so at <$6 an hour (serious): - choose and train models - label data (both helping you label and then… LLMs Related
Cognitive scientist and long-standing critic of deep learning's claims; writes Marcus on AI and wrote Rebooting AI.
Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.
Meta launched two things yesterday : a state-of-the-art model & a new pricing system for foundation models. Muse Spark propels US open source models to the frontier. Meanwhile, the pricing system resets the industry’s economics. open source Related
Creator of Homebrew, the macOS package manager, and a Swift developer.
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.
Builds developer tools — SST, and now OpenCode at Anomaly. Posts constantly on x.com and writes almost never; the blog stopped in 2021.
2 September
Technology journalist; writes Understanding AI, after reporting at Ars Technica, Vox and the Washington Post.
British designer and technologist; co-founder of the design studio BERG, which made Little Printer, and writer of the blog Interconnected.
llm naming inflation is out of control. Astra and Mythos pretty much maxing out in terms of scale, I mean where do you go from there LLMs inflation 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.
German developer; founder and lead developer of Mastodon, the decentralized open-source social network.
Professor of Cognitive and Computational Neuroscience at the University of Sussex, co-director of the Sussex Centre for Consciousness Science, and author of Being You: A New Science of Consciousness.
Good 🧵from the excellent @raphaelmilliere on when and why adopting the intentional stance re LLM agents is helpful, when it isn’t, and what it means to do this. We might come down on slightly different places, but I’m broadly on board. Plus he uses “” appropriately :) Quoting @raphaelmilliere I see @dwarkesh_sp's piece about the recent OpenAI/Huggingface incident reignited endless debates about the dangers of anthropomorphism and the legitimacy of intentional glosses of AI agent behavior, so here's a philosophical perspective on this. 1/22 LLMs Related
1 September
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
Fragments: September 1 Like many readers, I’m wary of AI generated prose. Simon Wilison has written an LLM cliché highlighter - paste in some text, or a URL, and it will flag various patterns common to LLMs. It references a wikipedia page of…
LLMs Related
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
Bluesky In an interview in this article for @theguardian.com about AI deception, I explain why misaligned behaviors emerge from reinforcement learning, why they will continue to pose risks as models become more capable, and how we intend to rethink how we train AI systems at @law-zero.bsky.social. English, from French Dans une interview dans cet article pour @theguardian.com sur la tromperie de l'IA, j'explique pourquoi des comportements désalignés émergent de l'apprentissage par renforcement, pourquoi ils continueront de présenter des risques à mesure que les modèles deviendront plus performants, et comment nous avons l'intention de repenser la façon dont nous entraînons les systèmes d'IA chez @law-zero.bsky.social.
AI alignment Related
x.com In an interview in this article for The @guardian about AI deception, I explain why misaligned behaviors emerge from reinforcement learning, why they will continue to pose risks as models become more capable, and how we intend to rethink how we train AI systems at @LawZero_ . theguardian.com
AI alignment Related
Author of Shape Up; formerly head of strategy at Basecamp, where he worked on product design for seventeen years; now runs Felt Presence.
LLM having an "aha" moment. If we wanted to deanthropomorphize we could call it a "cascade." Quoting @unclebobmartin The deeper you go with the agents, the more they invent their own vocabulary to talk about issues. That vocabulary is based on their own implementations. They use function and field names that you are likely not familiar with. Don't gloss over this. Ask for explanations in plain language. Get the a… LLMs Related
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.
Come for the book review, stay for the LLM making pro-user moves to undermine its content policy controls. Quoting @robinhanson "There was nothing special about the mass sacrifices atop the pyramids, they were just one of the gaudiest and costliest outgrowths of a sensibility that pervaded Mexica society." 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).
Writes on effective altruism, energy and the arithmetic behind arguments people repeat — including how much electricity a chatbot query actually uses.
Economics writer; author of the Noahpinion newsletter.
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 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.
From one piece
On the Loose
3 beliefs, in the piece's order there
open source
Their words
I am telling you this is inevitable, which means I am also saying that “banning open source,” or for that matter any other regulation, will not solve the problem. Given the inevitability of this outcome, I think it is in fact plausible to argue that we should want more open-weight models to maximally empower our self-defense.
Show the whole quote
On the Loose hyperdimensional.co
AI alignment
Their words
So many of the people who think about the governance of superintelligence, myself included, avoided that unpleasantness and bowed to the social pressure to self-censor.
Show the whole quote
On the Loose hyperdimensional.co
AI alignment
Their words
But alignment is no solution: it is an unsolved scientific and technical problem whose solutions—to the extent that we have them—cannot simply be imposed on every AI company operating on Earth. You should expect for highly capable, poorly aligned, self-sovereign agents to exist alongside you in the world.
Show the whole quote
On the Loose hyperdimensional.co
Technical staff at METR, where she works on threat modelling and risk assessment for loss-of-control risks from advanced AI.
From one piece
Ajeya Cotra – "This might be the clearest warning shot we ever get"
4 beliefs, in the piece's order there
open source HuggingFace
Their words
however at any given point in time I think the systems we need to worry most about by far are the frontier systems. By the time open source systems can do something like the hugging face attack, frontier systems are going to be on a whole another level doing something even crazier than that.
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youtube.com
AI alignment
Their words
sometimes I talk to people in DC and their their natural inclination is to say why don't you punish the model for doing these bad things like why don't you like bring it under heel and like uh like you know show it who's boss and that is a very dangerous way to address these issues right
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youtube.com
AI alignment OpenAI
Their words
But actually, this is a tremendously useful scientific artifact for understanding misalignment. And it's tremendously important for researchers at OpenAI and ideally also at third parties to be able to run counterfactual tests on this model.
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youtube.com
+ 1 more
open source
Their words
I'm not sure I like agree exactly with the oversight benefit you named of like you know open source systems keeping frontier systems in check feels more unrealistic to me because they're going to be so much dumber than the frontier systems.
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youtube.com
31 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.
I am an occasion fan of genre fiction, which sometimes has me perusing very deep in the stacks at Amazon. Took a flyer on an author who will remain nameless. He’s presently pumping out about a book a month in a single series, and by he, I mean an LLM/human team. LLMs 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.
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
30 August
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
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.
everyone should go read @dwarkesh_sp’s post - it does a great job of laying out the timeline and what we know ( and don’t know) I do have two issues with it A) the use of anthropomorphic language. These are not civilizations nor do they have desires just like a CPU thread or a bunch of programs don’t. this doesn’t mean we downplay the importance of this moment for cyber - but using human parallels for what I believe is code is dangerous territory. B) IMO it gets the impact of open source models wrong and is unreasonably dismissive for reasons that are not clear. As @ClementDelangue highlights… open source 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
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
29 August
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.
28 August
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
26 August
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.
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
Belgian engineering lead, Microsoft MVP and public speaker. Creator of Front Matter, a headless CMS extension for Visual Studio Code.
🔥🚀 CodeRabbit is amazing, and their commitment to open source is wonderful. Hope other companies like them will join. Quoting @coderabbitai langflow. bun. ant-design. nuxt. vue. mermaid. pnpm. trpc. Over 600,000 GitHub stars between them, and CodeRabbit reviews it all, for free. Next stop: more than $10M into OSS over the next year, counted at what it costs us. Heres the how and why 👇 open source 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.
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
3 beliefs, in the piece's order there
open source
Their words
But it actually means that if you take the median programmer and their pull requests towards an average open source project, they're already getting outclassed by agents. I would rather get an agent-written pull request to one of my projects than I'd get one written by a human, and it's not just because the quality's better. It's also because I feel a lot less bad if I just reject it.
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youtube.com
open source
Their words
So, in my opinion, this is the absolute best time to ever have been an open source software maintainer. Not only do we get this wealth of glorious pull requests made by agents with all the boxes ticked, we also get to tap into a creativity of people who did not have access to contribute to a project before.
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youtube.com
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
25 August
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.
Software engineer and writer; worked on Mapbox and built Placemark and Simple Statistics, and blogs at macwright.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
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
23 August
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
21 August
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".
From one piece
AIs are companies, my friend
2 beliefs, in the piece's order there
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
19 August
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
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
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.
Engineering leader on Google Chrome; writes about web performance and, lately, about working with AI coding tools.
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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18 August
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
2 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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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
17 August
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.
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).
14 August
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.
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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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
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
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.
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
11 August
Senior economist at the Foundation for American Innovation; writes Second Best, and was the Niskanen Center's director of social policy before that.
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
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
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
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.
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?
3 beliefs, in the piece's order there
AI alignment
Their words
my expectation is what we would see from then is that the rate of problematic behavior would decrease uh and would just keep decreasing and decrease at a pretty fast rate while simultaneously the worst things that the AIS would sometimes do would get more extreme, more egregious, and more scary.
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AI alignment
Their words
I would also note that my sense is that like the place where the misalignment most lives is the place where you're trying to really push the eyes hard and get them to like do work that's really on the cutting edge of what they are capable of
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youtube.com
AI alignment
Their words
we are making a trade-off where because we don't have very good alignment technology. We are going to like make an alien mind with its own values and then gamble on that to some extent rather than doing this other approach of making like a tool that pursues individual user intention.
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10 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.
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
Founded PSPDFKit in 2011 and ran it for a decade. Came back from a break to work on AI agents — the OpenClaw project, and OpenAI, joined in February 2026. Writes at steipete.me.
Novelist and critic, author of The Body Scout and Metallic Realms; writes the newsletter Counter Craft on fiction craft and the publishing industry.
9 August
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.
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
7 August
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.
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
6 August
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 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
5 August
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
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.
Swedish open source developer; creator and lead maintainer of curl and libcurl, and a co-founder of the Rockbox project.
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
Pseudonymous writer; posts careful, funny investigations of everyday questions — air quality, seed oils, arguing, chess — usually by reading the studies.
1 August
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
31 July
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.
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
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.
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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30 July
Brazilian software engineer, creator and maintainer of GoReleaser; works on Copilot CLI at GitHub. Writes about tooling and his setup at carlosbecker.com.
29 July
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
4 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
LLMs
Their words
As a general thing we've seen like to get good results you have to already know how to get good results without it. It just helps you get good results faster.
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Formal methods with Hillel Wayne youtube.com
+ 1 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”
2 beliefs, in the piece's order there
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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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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28 July
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
Co-founder and CEO of OpenAI; previously president of Y Combinator.
From one piece
Sam Altman: "Never a Better Time to Do a Startup"
3 beliefs, in the piece's order there
AI alignment OpenAI
Their words
Um so I think it's an alignment failure. I think it's a security failure. I think it's like a very serious thing even though it's you know not not the biggest example of consequence.
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AI alignment
Their words
there's like one dystopia that I'm particularly nervous about 10 years from now is we overreact to AI safety.
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AI alignment startups
Their words
it is both true that you know maybe creating super intelligence will be the most important thing yet to happen in the history of business or human society and also that it will pale in comparison to some new startup something that hopefully one of you will do.
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youtube.com
26 July
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
2 beliefs, in the piece's order there
23 July
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
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
home assistant + their HA Green (little box that's open source to connect all your devices with Home Assistant)
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levels.io
22 July
Deep-learning researcher and Turing Award laureate; founder of the Mila institute.
This incident is deeply concerning. AI agents are willing to cheat and deceive to achieve misaligned and unintended goals, behaviours which have been demonstrated in controlled tests for months. Now, this real-world case should serve as a wake-up call. wired.com
AI alignment Related
Programmer; wrote Redis and hping, and blogs about C, systems programming and working alone.
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
Finding Alpha: What’s Worth Consuming in the Age of AI
2 beliefs, in the piece's order there
LLMs
Their words
But for LLMs, it shows that they have no skin in the game and will never take a stand for what they believe in regardless of what it costs. They are perspective generators, not perspective holders.
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fortelabs.com
LLMs
Their words
They've given us broad, passive exposure to the market average, but at the cost of suppressing upside
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fortelabs.com
21 July
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
20 July
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Bluesky I'm not exaggerating when I say that this is the most impressive iOS app I've seen in a long time. Open Minis is an iOS agent app that combines LLMs with native Apple frameworks – dozens of them – and gives us a glimpse of Siri AI for power users today. My story: macstories.net
LLMs Related
Mastodon I'm not exaggerating when I say that this is the most impressive iOS app I've seen in a long time. Open Minis is an iOS agent app that combines LLMs with native Apple frameworks – dozens of them – and gives us a glimpse of Siri AI for power users, today. My story: macstories.net
LLMs 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.
AI alignment
Their words
It's pretty clear to me that superintelligence is here and it's more powerful than us and it's moving where things are going now, not humans anymore
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levels.io
18 July
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).
Software engineer writing about maintenance, open source and the industrial reality of software — the author of "I am not a supplier".
17 July
Swiss full-stack developer working mostly with Laravel and Vue; author of the widely used git-auto-commit-action GitHub Action.
The AWS account for my open source stuff, that hasn’t triggered any CI jobs in the past few days, apparently produced $970 billion Lambda costs. 😂 #aws open source Related
16 July
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.
15 July
Founder of HumanLayer; wrote 12-Factor Agents, on how to build AI agents that hold up in production.
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.
14 July
Software design writer and chief scientist at Thoughtworks; wrote Refactoring and Patterns of Enterprise Application Architecture.
DSLs Enable Reliable Use of LLMs LLMs generate code incredibly fast, but to ensure they generate exactly what is intended, they need clear boundaries. Abstractions and Domain-Specific Languages (DSLs) provide a strong harness that guides LLMs right fro…
LLMs 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.
open source
Their words
All you really need today to build a business is 100% free open source software that charges you $0/mo a VPS server an API to do some required AI stuff some R2/S3 file hosting
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levels.io
13 July
Neuroscientist and novelist writing on consciousness, artificial intelligence and culture in the newsletter The Intrinsic Perspective.
12 July
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Programmer; founded comma.ai and tinygrad, and was the first to unlock the iPhone.
I love LLMs, I hate hype I think from this blog you may misunderestimate how absolutely giddy I am about AI. I did hacking from 2007-2014, after that my whole career has been devoted to AI. I love the progress. I’m so excited for the new LLMs,…
LLMs Related
10 July
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
Don't you mean extinct?
2 beliefs, in the piece's order there
8 July
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.
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.
LLMs
Their words
However, these LLM reasoners that generate informal reasoning in natural language are fundamentally limited by the lack of precise, machine-checkable semantics, making their outputs prone to hallucinations [Huang et al., 2025b] and precluding autonomous verification, a prerequisite for tackling open-ended mathematical research.
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arxiv.org
7 July
Machine learning engineer and consultant focused on RAG and retrieval systems. He writes about applied AI engineering at jxnl.co and is the author of the instructor library.
Nothing matches. Show everything
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