What public figures publish and believe, in their own words.
About this feed
Highlights: posts that did unusually well for the person who wrote them, everything they published at length, each release and new project, and every belief — at most two a day from anyone. Day by day, newest day first; within a day, the people with the most beliefs on this site come first. Nothing else orders it. Show everything instead.
The quoted blocks are what people actually said; a beneath one is the belief those words support, in korrents' wording. Nobody here wrote their own page.
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Top people in AI
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12 August
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Their words
A lot of founders I talk to are worried about what will happen with AI. So am I frankly. But they're actually better off than anyone else. If the world is going to get turned upside down, the safest place to be is in a small, fast-moving company that can easily change direction.
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Their words
One common question I get now is how much of the standard startup advice is still true in the AI era. So far almost all of it. There's more difference between the advice I give different startups in one batch than between what I've given pre-AI and post-AI startups.
From one piece Stop being skeptical about AI for development with Charity Majors 5 beliefs, in the piece's order there
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Their words
It's like they have all the wisdom of their most senior engineers looking at every single diff and that is fantastic. Which means that you don't have to worry about remembering and looking and nitpicking and all the things that we're not good at anyway
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Their words
You can use AI as a shortcut to help you not have to think too much. And you can use AI to help you think more deeply and more rigorously. And both of those use cases have their place. But when it comes to your core job function, we primarily want the second one, right?
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Their words
And I have decided not to sink anymore because writing is thinking on paper. And there's no shortcut for doing that thinking.
+ 2 more
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Their words
And it wasn't actually the models. It was the harnesses. It was all the tooling.
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korrents.com
Neither the AI enthusiasts nor the AI sceptics are making it up; both camps are looking at real trends.Their words
See, the problem is that neither side is making it up. Like they are seeing really scary trends.
From one piece I wrote an AI textbook — how long until AI can do it better? 3 beliefs, in the piece's order there
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Their words
So, in 2-5 years I still expect the best textbooks to be heavily crafted by the human hand.
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Their words
Something intertwined with this story, which I stumbled upon when thinking about agents, is how your pace of understanding won't increase by using agents.
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Their words
Models being stagnant in long-form, non-fiction writing should be alarming to those reliant on models autonomously solving grand, open science problems in the near future.
From one piece Chelsea Finn: This is the State of the Art in Robotics 4 beliefs, in the piece's order there
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korrents.com
A model you have to fine-tune for each thing you want it to do is not a general-purpose model.Their words
But if you have to fine-tune a model, you actually aren't getting a general purpose model um for the things that you want it to do because you have to fine-tune it for each individual thing.
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Their words
And in all of these applications, the customer is making a decision based off of the recommendation of the AI model more or less. Uh, and this means that if the customer is ultimately like kind of making the decision, this means that if the system makes a mistake, um, that's okay because usually the person can kind of recognize that or or decide what to do even despite that mistake.
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Their words
Uh and this means that they're going to be far more useful when they're operating fully autonomously. And as a result, this requires us to develop physical AI systems that make far fewer mistakes than the machine learning systems that have been deployed thus far.
+ 1 more
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Their words
I mean at the very least I actually think that just starting with a generalist policy and then fine-tuning it even like right off the bat uh can be really effective.
From one piece AI’s climate problem is worse than we thought 2 beliefs, in the piece's order there
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Their words
they found that Big Oil's use of AI to produce more oil and gas could create 3.3 to 13.3 times more climate pollution than powering AI's data centers.
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Their words
AI had to help renewable energy four to five times more than fossil fuels just for emissions to break even.
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Likedrcmnd.app
ElevenLabsTheir words
The translation & dubbing was a huge amount of work (which I deeply care about) with humans & AI collaborating. Thanks to the amazing team at @ElevenLabs for their help.
From one piece Carry Q2 2026 2 beliefs, in the piece's order there
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korrents.com
Human-made promotional shilling can be worse than AI-generated junk because real effort was wasted on it.Their words
There has also been an uptick in product shills, which, in some ways is worse than AI stuff-some human actually put effort into making straight garbage.
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Their words
Social media in general has become a flood of garbage posts either with AI visuals or AI text and all of it has almost no value.
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Their words
AI is conspicuously missing from our 2.0 release, for sure. A 2026 coding tool should have AI tools.
11 August
From one piece Ryan Greenblatt – What happens once AI can automate AI research? 5 beliefs, in the piece's order there
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korrents.com
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.Their words
Maybe my sort of median expectation is something like uh four or five years of AI progress in a single year.
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Their words
when AIs are extremely extremely capable my view is that those AIs will be harder to align than current systems. So for current systems, we have this feedback loop where we basically like we create an AI. We do some evaluations on it. We see that it has some kind of messed up behavior that we can kind of quickly understand. Then we like can like go look in training and be like, "Oh, the these training environments led to this problematic behavior. Let's like tweak that training data. Let's introduce some additional training data to like correct this other issue and then move forward from there." But in a regime where the AIs are extremely situationally aware, very very very very capable and um you know uh we don't necessarily understand what they're doing, this feedback loop breaks down.
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Their words
I do I do think that I wish that sort of my preferred constitution or like the way I would orient towards this like the thing I would prefer would be more like Claude is like look it would be structurally good for the way this technology work like the constitution should be like it would be structurally good for the way this technology works to be that AIS are like good fiduciaries, good representatives, the equivalent of a lawyer for a user
+ 2 more
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Their words
the reason why RL environments today are much better than they were in like you know 2024 is not that much because um we have hired way more human experts to make RL environments and is instead much more because we better know what how RL like what RL environments we even want to make and and like how we should structure them and also we're using huge amounts of AI labor to build RL environments.
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Their words
Second, I think ML is a very shallow domain relative to math. So I think in math there's much more of a you find some true deep abstraction um and then like that like if you really understand that thing which is hard to understand then you get somewhere
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korrents.com
AI agents will soon reach superhuman, AlphaZero-like performance across a wide range of domains.Their words
we should therefore expect AI agents to achieve AlphaZero-like, superhuman performance in a wide and expanding variety of domains.
From one piece The Great American AI Rebellion 2 beliefs, in the piece's order there
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korrents.com
The current AI data-center buildout is the biggest and fastest-growing infrastructure project in living memory.Their words
This is the biggest and fastest-growing infrastructure project of our lifetimes.
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Their words
The fastest-growing political movement in America is dead-set on stopping the construction of data centers, which are critical to the growth of the fastest-growing industry in America.
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Recommendsrcmnd.app
Facts and Fallacies of Software EngineeringTheir words
Facts and Fallacies of Software Engineering by Robert L. Glass. In essence, this is a book about an industry that refuses to learn. That was true 25 years ago when this book was published, and it's probably twice as true today. (Just think about all the AI adoption metrics being rolled out — back to productivity mistaken for lines of code produced, only more elaborate. And expensive). What I like about this book is that Glass doesn't present anything new. Quite the opposite, actually. Rather, it's about research lessons that we all should know, but tend to forget. Ever had to do an estimate, or plan according to a requirements spec? Or maybe you thought that enough eyeballs make all bugs shallow? Then this book is for you. A great work by a fantastic author.
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Lovedrcmnd.app
Paradigms of Artificial Intelligence ProgrammingTheir words
Paradigms of Artificial Intelligence Programming by Peter Norvig. Learning the AI described in this book probably won't land you a job today. But reading the code examples will transform how you think about source code. The book shines when it comes to code comments, a topic that I've never seen demonstrated well in other sources. Here we get to see how comments become valuable as a narrative that explains both intent and reasoning. Brilliant, just brilliant.
10 August
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Their words
Claude Haiku is my current least favorite model - it hallucinates wildly, and is out-performed now by other similarly priced models like GPT-5.6-Luna Even worse: it seems to still be used by the Claude Code WebFetch tool, which means hallucination risk any time you fetch a URL!
From one piece Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li 5 beliefs, in the piece's order there
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Their words
Internet is not some random thing. Internet is the biggest collection of human behavior in multimodal forms.
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korrents.com
The worst outcome of AI for young people is that it takes away their agency and their motivation to learn.Their words
The absolute bad outcome is that our young generation, their agency and human level motivation of learning and living is taken away by tools. So doom scrolling, passive watching of shorts, all this are not helping agency, human agency.
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korrents.com
Teachers are the most important people in society and the ones the AI industry has most completely forgotten.Their words
They are the most important people in our society. We should be talking to them. We should be uplifting them. We should be supporting them. We should be providing resources to them.
+ 2 more
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Their words
My current conjecture is hybrid is that humans working alongside AI would help us to solve these problems whose solutions have yet to be invented.
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Their words
that thought is not captured therefore it's not on the internet therefore AI has not seen it so that is where humans still remain so unique
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Their words
Coding isn't yet another application domain -- it's the meta-skill required for AI to automatically develop its own training material, via symbolic world models. That's how the RSI loop actually kicks off.
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Their words
AIs will remain black boxes, hard to understand and hard to predict.
From one piece On AI Coding and Its Discontents 3 beliefs, in the piece's order there
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korrents.com
Handing all code production to AI leaves junior developers with no path to becoming senior ones.Their words
In addition to reliability issues, it often engenders a mind-numbing workflow and an environment where junior developers will never acquire the expertise to become senior developers capable of designing complex systems.
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Their words
But if you zoom out, it becomes clear that almost every “breakthrough” since last summer has concerned the narrow domains of computer code and math, which are defined by highly structured languages and come accompanied by massive amounts of specialized training data.
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korrents.com
AI is a normal technology rather than an infinity machine, and it is time we started talking about it that way.Their words
It’s a normal technology, and perhaps it’s time we start talking about it that way.
From one piece AI Slop, Accusations, And A Better Way 2 beliefs, in the piece's order there
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korrents.com
Pattern recognition and replication is fundamentally what machine-learning systems do best.Their words
So of course AI has adopted it; pattern-recognition/replication is what machines do best.
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Their words
AI sucked it all up without discernment, because AI cannot discern.
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korrents.com
Data centre opposition only pushes construction to the parts of America that regulate energy and pollution least.Their words
It seems pretty clear that the only thing data center opposition is doing is pushing data center construction to the (many) places in America that won't regulate energy or pollution. Weird thing to pat oneself on the back for.
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Their words
this is one reason why I'm skeptical of outsourcing your creativity to LLMs.
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korrents.com
Developers today mostly plan, debate, implement and review with AI agents rather than write code themselves.Their words
Nobody writes the code anymore. Instead you're basically planning, debating, implementing and reviewing with Agents.
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Their words
Ben’s article serves as a great reminder of why the product role is so essential, and is likely to remain essential.
9 August
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korrents.com
Opposition to data center buildouts is fundamentally driven by public anger about money in politics.Their words
His Lansing rally with Bernie and AOC, more than anything else, crystallized the connection between data center opposition and voters' anger about money in politics.
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Their words
an ai is oddly well suited to this job. cassandra doesn’t want a promotion and doesn’t need the people in the channel to like her. disagreeing with the vp three times this month won’t show up in a performance review. she doesn’t have an ego invested in being right either.
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korrents.com
The ethical failure in using AI to write is publishing unread, unowned work, not using the tool itself.Their words
The transgression isn't using the machine. It's hitting a button, not reading what comes back, and publishing it under your name.
8 August
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korrents.com
If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on.Their words
The problem is if nobody creates new content anymore and just asks their AI every question, the AI has nothing to train on anymore
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Their words
I REALLY want to believe that this fixes prompt injection risks for coding agents, but I'm just not there yet
7 August
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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."
From one piece @fchollet on X 2 beliefs · x.com
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korrents.com
Future AI, say in fifteen years, will not be built on the LLM stack; it will have to move to symbolic learning.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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Their words
I believe current techniques are 4-6 orders of magnitude away from optimality in terms of data efficiency and test-time compute efficiency. But far future AI will be near-optimal.
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korrents.com
Philanthropy can never operate at the scale of government, no matter how well-funded it becomes.Their words
Even with the influx of funding that may come with the AI companies' IPOs, philanthropy can never act at the scale of government.
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korrents.com
AI-driven bureaucratic systems will develop their own internal politics and be gamed by the people subject to them.Their words
(and it will be gamed - AI bureaucracies will absolutely have their own politics)
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Their words
it's not out of the question that Anthropic or OpenAI-which barely had any revenue before 2023-could equal or surpass the revenue of all of Musk's public companies some time in the next 12 to 24 months.
6 August
5 August
From one piece The real energy use of agentic AI 3 beliefs, in the piece's order there
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Their words
This is the Jevons paradox in action: making compute cheaper per token in turn tends to lead to greater levels of AI use.
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Their words
Which is why the lever that actually matters most is the carbon intensity of the electricity.
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Their words
Unlike aviation, this is an end-use we already know how to decarbonize.
4 August
3 August
From one piece 🌻 no data centers in my backyard 2 beliefs, in the piece's order there
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Their words
Rather, the way that AI companies engage with communities-forcing NDAs, dangling billion-dollar promises, pushing environmental externalities far away from AI's wealthy user base-resembles a classic story about dark money in politics.
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korrents.com
Most workers vulnerable to AI-driven displacement lack organized representation to negotiate on their behalf.Their words
Most workers in America today, and most who are vulnerable to AI displacement, don't have organized representation.
From one piece Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work 5 beliefs, in the piece's order there
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Their words
And the problem of building a good realistic simulator is just as hard as building the agent itself.
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Their words
And that's why every hype cycle produces a wave of absolutely spectacular demos and very few real products. And the recurring mistake of every cycle is spending on the demo when you should be saving for the nines.
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Their words
Given the high cost of errors, you need to have a very high level of safety and a very high level of confidence on day one before you deploy your first robot, before you drive your your first autonomous mile.
+ 2 more
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Their words
That the best AI moments will look like nothing happened. It's just the task got done safely and smoothly.
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Their words
So, a deployment of your agent uh in the real world generates data. That data then grounds the simulator and makes it more realistic. The simulator generates harder edge cases for the critic to score and for the agent to learn from.
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Recommendsaffiliate linkrcmnd.app
The Field Guide to Understanding 'Human Error'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.
From one piece @chamath on X 3 beliefs · x.com
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Their words
Looking at the results and capabilities from the various labs over the past few weeks I would say we are firmly in this loop now.
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Their words
Marginal costs of all models will go to ~$0.
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Their words
Recursive self improvement will dramatically increase capability very quickly from here.
2 August
From one piece This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot) 4 beliefs, in the piece's order there
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Their words
you can have one very senior PM across more things and they can be more efficient than having, you know, three relatively entry-level PMs.
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Their words
most of commerce in America isn't actually high intent. Like how many years are we into e-commerce now? Like 30 years into e-commerce and e-commerce has never exceeded 20% of retail spend in America.
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Their words
absolutely agree that product skills are probably the most durable. My build would just be there's a lot of people who have the title PM who haven't spent a lot of time building those skills in the last 5 years, but have gotten really good at communicating frameworks to leadership.
+ 1 more
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Their words
as a product manager, I've spent less time in the last year talking to a data scientist than I ever have in my career, even though I've probably spent 10 times more time in data and understanding actually how the product's working than I have ever have in my career.
1 August
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korrents.com
China's tolerance of deflation has caused widespread underemployment and unemployment among its youth.Their words
Policy decisions have condemned a generation of Chinese youth to widespread under- and un-employment.
31 July
From one piece Patrick Collison: Is AI Breaking the Lean Startup Playbook? 4 beliefs, in the piece's order there
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korrents.com
AI will not centralise the economy into a handful of companies; there are going to be many thousands of winners.Their words
But based on what we can see at Stripe, the hunger and the intensity with which other companies are either getting started, taking advantage of these new capabilities, or existing companies are retooling, I don't worry about the centralization in the same way. Uh I think there I think there are going to be many thousands of winners.
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Their words
And just human organizations are complicated and it's very hard to have um to manage to aggressively prosecute 100 different priorities and to deal with all the issues and interference that arises among them and so forth. And so, you know, Google has done incredibly well in a bunch of specific places, but it's not like Google has done all the things even if in some kind of basic material sense, uh Google maybe, you know, had that ability.
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korrents.com
Models can prove monumental theorems and still have never written an essay worth reading.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.
+ 1 more
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Their words
So, I um yeah, I think maybe maybe a better way of saying it is 20 20 years ago that whole lean startup thing was uh was almost the only thing to do because of capital available and you didn't have AI that made, I don't know, spinning up an organization with many different potentialities and capabilities so much easier, whereas now I think you can start these much more aggressive and ambitious things up front.
30 July
From one piece Jeff Dean: The 1% Rule for Building in AI 5 beliefs, in the piece's order there
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korrents.com
AI models have reached the level of a junior engineer on longer-running, agent-based coding tasks.Their words
Yeah, I mean I feel like uh the models have been getting a lot better at sort of agent-based longer running coding tasks and it seems pretty clear that they are now actually pretty capable and depending on exactly your definition of of junior engineer it seems pretty spot-on I would say.
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Their words
Um, and to give you an example of a a a use of a coding agent that works extremely well is you can ask today's models to translate software from one computer language to another very effectively because in that case you actually have a incredibly detailed specification.
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Their words
Um, and sometimes that's because the model is trying to do something it doesn't have a lot of experience doing. So it's been trained on a whole set of things and as soon as you get a little bit off the distribution of things it knows how to do then like most machine learning models it will you know its performance will suddenly will start to degrade and the farther you get off the comfort zone of what it knows how to do the the more likely it is to to not work as well.
+ 2 more
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korrents.com
The numbers an AI engineer should know by heart are memory bandwidths and the energy cost of a single operation.Their words
Yeah, I mean I think if you looked at what is important in AI systems these days, you would want to know things like the bandwidth between you know your main memory system on your accelerator to the onchip memory to the um you know the multiplier unit or whatever. You want to know how much energy does it take to do a single multiplier operation.
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Their words
If you think about our large scale models today, they probably see a thousand times as much data as a human does by the age of 18. Yet, the human by the age of 18 is better in a lot of things and, you know, on par uh with those frontier models that have seen way more data. So could you come up with much more data efficient systems that can learn continuously learn from their own actions?
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Usesrcmnd.app
GranolaTheir words
Pedregal is the co-founder and CEO of Granola, which has been my own AI notetaker since shortly after it launched.
29 July
From one piece Formal methods with Hillel Wayne 5 beliefs, in the piece's order there
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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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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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Their words
And often I found with my clients I have to tell them like it's doing a good job at generating the actual design, but in actually expressing what the design is supposed to do, it cannot do that yet. You have to do that part yourself.
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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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Their words
I predict that in the next 10 years software development will survive, but it will become like any other white-collar professional work. No more $200,000 salaries, unlimited vacation, or incredible employee bargaining power.
From one piece Alexandr Wang: “This is a Once-in-a-Civilization Opportunity” 5 beliefs, in the piece's order there
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Their words
we don't believe in a world where these models are so expensive that, you know, they get rationed only for the most wealthy of developers and and companies.
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korrents.com
The future of AI is a broad decentralised ecosystem, not a totalising handful of AIs that control the world.Their words
we don't believe in this totalizing, you know, totalitarian view of, you know, AIs that control the world. We believe that these are going to enhance this very broad ecosystem.
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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
+ 2 more
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Their words
we believe that everybody in the world, you know, all the billions of people in the world are going to have a super intelligence that is adapted and tailored to them, that is enables them to accomplish their goals, knows their context, and ultimately is an expander of their own agency.
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Their words
I think we're at this like in amazing moment in the world where the bottleneck is not the progress of the AI models, the bottleneck is diffusing that through the rest of the world and and helping the world adapt to this amazing technology that already exists. Like I think if the models didn't improve at all from today, there would still be like decades and decades of like total upheaval and change in the economy and how the world operates and and everything around us
28 July
From one piece Sam Altman: "Never a Better Time to Do a Startup" 3 beliefs, in the piece's order there
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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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Their words
In fact, if if we are right that AI is going to be such a big change, startups will be much more important to making sure that the power of this technology gets widely distributed throughout the economy and society and is not just concentrated in a few companies or models.
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Their words
I think it's a real reminder of the stakes of what's happening and that loss of control accidents are not entirely theoretical things.
From one piece Blake Scholl: How 50 People Built a Supersonic Jet 2 beliefs, in the piece's order there
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korrents.com
Cheaper software has increased the number of software engineers a company needs, not reduced it.Their words
At boom we need far more software engineers in a postAI world than we need in a pre-AI world. Why? Because the cost of software development has dropped. anybody including hardware engineers can now become a coder and we need software engineers to make sure the architectures are right and make sense and are coherent.
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korrents.com
“Work on what you know” is the worst advice there is: knowledge can be acquired, but what you love cannot be changed.Their words
So I think the worst advice is like work on what you know. Uh what you know can be changed. Particularly in a world where you everyone has personalized AI tutors. Anybody with passion and dedication can learn new knowledge and learn new skills. But what you can't change easily is what you love.
27 July
From one piece Boris Cherny: We Cut 80% of Claude Code's Prompt 5 beliefs, in the piece's order there
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Their words
And what's interesting is that the model is actually a little bit more intelligent without these prompts.
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Their words
I think the skill nowadays is less about prompt engineering and more about figuring out how do you give Claude a hard task that seems a little bit too hard. And then how do you make it possible for Claude to verify its work along the way? And the verification I think is probably the single most important thing that people do not get right
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Their words
the model does not seem to be prompt injectable anymore.
+ 2 more
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Their words
So when I look at engineers that have been, you know, coding for a long for a long time, you know, like for for years or for decades, this is a really really common failure mode is trying to over specify and it's trying to be overly specific and then, you know, get the model to do the to do the task exactly the way that you would have done it. And that that's just not the way the model works.
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Their words
for people that aren't building agentic products, but you're using Claude code, every 6 months delete your Claude MD. Delete your skills. Delete your hooks.
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korrents.com
AI writing tools can be used for editing help without letting them take over work that has personal meaning.Their words
You can use AI without handing it the work you love doing, or the work that means something to you.
26 July
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Their words
I cancelled and then vibecoded 100% of my SaaS subscriptions I only pay for domains, server hosting and storage and AI APIs
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Their words
I'm seeing a trend here of declining revenue and traffic with indiehackers On my own projects too Maybe big VC products too but I wouldn't know cause they don't share revenue To me it seems clear BigAI is cannibalizing everything that used to be apps
From one piece Jensen Huang: The Mindset That Built NVIDIA 5 beliefs, in the piece's order there
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Their words
The evidence would show that and it makes perfect sense that AI and automation is creating jobs everywhere. The narrative about AI destroying jobs is exactly backwards. AI eliminate tasks. AI automates tasks away. But it doesn't necessary doesn't necessarily eliminate jobs.
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korrents.com
Without open source there would have been no mobile cloud industry, and no modern AI either.Their words
If not for open source, the mobile cloud industry would have never happened.
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Their words
we want we want to encourage everybody and every company to build their own AIs. And and and who knows what innovation will come from the fact that it's open source.
+ 2 more
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Their words
likely this will be one of the largest industries in the world and um, uh, it'll take longer than a couple two, three years. It'll take less than 10. And so this will this will be our next $100 billion business.
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Their words
we we kind of have coarse level uh recursive self-improvement already. And the fact that every time you use it, it improves the markdown files. Uh every time you use it, it updates its uh long-term memory.
From one piece Requiem for a Field? 3 beliefs, in the piece's order there
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Their words
in an intellectually dead field, AI will just produce worthless junk. If what you feed it is decades of complicated and meaningless computations, it will just produce even more complicated and meaningless ones.
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Their words
So far I haven't seen AI agents doing anything new and important that I would care about, but maybe that's just a matter of time...
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Their words
The results have surprised me: these things are a lot more capable than I had expected.
25 July
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Usesrcmnd.app
ClaudeTheir words
So by far the funniest thing about using Claude and Codex together is how Codex is very earnest and businesslike while Claude treats Codex like an inferior but hard-working subordinate
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Usesrcmnd.app
CodexTheir words
So by far the funniest thing about using Claude and Codex together is how Codex is very earnest and businesslike while Claude treats Codex like an inferior but hard-working subordinate
24 July
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Likedtheir ownrcmnd.app
Claude Opus 5Their words
Opus 5 is a great model for coding, data analysis, design, biology, knowledge work.
23 July
From one piece An opinionated guide to which AI to use to do stuff 3 beliefs · oneusefulthing.org
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korrents.com
Google currently has no leading frontier AI model and no agentic coding tool comparable to Codex or Claude CodeTheir words
Google, which led on benchmarks not that long ago, has fallen behind where it now counts: it has no leading frontier model and it has nothing close to Codex and Code.
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korrents.com
Microsoft Copilot is adequate for office document work but significantly behind in agentic capabilityTheir words
Copilot, which uses a mix of AI models and is okay for working with office documents but lags badly in terms of its agentic abilities.
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korrents.com
Higher-priced AI subscription tiers mainly buy more hours of agent usage rather than a smarter underlying modelTheir words
The more expensive plans are mostly buying you more hours of AI labor, not smarter AI.
22 July
From one piece Finding Alpha: What’s Worth Consuming in the Age of AI 2 beliefs, in the piece's order there
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korrents.com
Language models cannot hold a genuine perspective or take a stand for what they believe.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.
-
Their words
They've given us broad, passive exposure to the market average, but at the cost of suppressing upside
From one piece We Need Guidelines for Learning and AI 3 beliefs, in the piece's order there
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korrents.com
You cannot learn from work you did not do yourself.Their words
But having AI do your homework is self-defeating. You can’t learn without doing the work.
-
Their words
AI has the potential to assist with both the first and last element of that loop. What it cannot replace is the middle step—doing the work for yourself.
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korrents.com
Asking AI for help on a first attempt robs you of the experience that builds your own judgement about the problem.Their words
Asking an AI for help with the start of an essay, for instance, will invariably shape what direction you end up following, robbing you of the crucial experience of building your own judgement around a topic and selecting your own path to research and argue.
-
Their words
I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume OpenAI has sounder sandboxes.
21 July
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Their words
So you went from a business chain of customer > app > ai model provider To customer > ai model provider The app layer is possibly getting removed!
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Usesrcmnd.app
PangramTheir words
For the first time, I ran all potential winners through Pangram, which is an AI-writing detector.1 So according to the machine (and to my ear), all of the winners are 100% human-written.
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Recommendsrcmnd.app
Chatting AloneTheir words
Martsinovich argues, via code snippets, that there is no such thing as a "conversation" with a chatbot. The AI is born anew every time it speaks, and it simply reads the dialogue so far and then tries to write the next line:
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Their words
I told him what I believe: that in the age of AI, medicine will be bottlenecked more than ever by regulation and the grind of clinical trials, and that billions poured into faster pre-clinical research won’t touch that problem, unsexy as it is.
Intelligence is not the main bottleneckwritingruxandrabio.com
20 July
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korrents.com
Now that everyone can build apps with AI, distribution is the thing that separates who wins.Their words, before
I think the challenge is that everyone can now build apps But 1) almost nobody has distribution (like an audience), or 2) the money to pay for distribution (ads or UGC), or 3) the creative genius to get distribution for free (classically called guerilla marketing)
Their words now
I thought it'd be distribution but who knows, obviously creativity and ideas, but if you can copy a successful app in an hour, then how does that differentiating work?
-
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
-
korrents.com
AI is raising public expectations of government service at the same time it changes what government must deliver.Their words
Every state, and the federal government right along with them, is about to be asked to do a lot more than keep the lights on.
19 July
From one piece Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) 5 beliefs, in the piece's order there
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Their words
So, even in a world of AI where some things are easier, we were talking earlier about mindset, AI fluency. From my experience, younger folks are more open-minded. They tend to be more native in some of these new ways of working.
-
Their words
It does feel like we have to be more more explicit about the types of people and talent that tend to thrive at Netflix versus other companies like some of the frontier labs.
-
Their words
So, the most useful thing is not to make it level specific or role specific, but to encourage everyone towards the expectation on AI fluency, which doesn't mean use it as a tech for the sake of tech. It's tech where it's useful, to have good judgment about that, and to have the mindset to be open-minded to explore and try new things.
+ 2 more
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Their words
So, we are hiring more people who can look across all the business domains and abstract that to here's the building blocks we're going to need in a world with AI.
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Their words
In a world of AI with agents operating across multiple systems, wanting source of truth data, the importance of having preferred paved paths that get the most of the benefits and produce some guardrails so we can make sure we're doing good work, common infrastructure, common paved paths, solving problems once with a core set of capabilities becomes more important.
18 July
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korrents.com
Pushing an LLM's reasoning budget higher eventually yields diminishing returns and becomes uneconomical.Their words
This saturation can be seen more clearly for the GPT 5.6 Sol model, which also shows that increasing reasoning budgets can become uneconomical at some point.
Controlling Reasoning Effort in LLMsmagazine.sebastianraschka.com
16 July
From one piece My speech at Borgo Laudato Si’ 3 beliefs, in the piece's order there
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korrents.com
Competitive pressure among AI developers could cause loss of control even without anyone intending itTheir words
But in a climate of rushed decisions and fierce competition, we could lose control over AI even if almost no one wants that outcome.
-
Their words
AI is developing at a very rapid pace, far more rapidly than most outside of the industry fully understand, and far more rapidly than almost anyone in the industry predicted.
-
Their words
Loss of control is a risk for the next few years, not the next few decades as many experts once thought.
From one piece Notebooks And The Extended Mind 2 beliefs, in the piece's order there
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Their words
the external tools that we use to help us reason, remember, associate, calculate-from counting on our fingers to chatting with an advanced LLM-should be properly understood as extensions of our own cognitive process.
Notebooks And The Extended Mindadjacentpossible.substack.com
-
Their words
the most pressing question is not whether the machines are on the verge of sentience, since the likelihood of that seems low.
Notebooks And The Extended Mindadjacentpossible.substack.com
-
Their words
The feature is disabled by Google in ChromeOS, Android and in production Google servers which certainly holds back some use of it.
15 July
From one piece Context engineering with Dex Horthy 5 beliefs, in the piece's order there
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Their words
the problem with training models on maintainability is like the cost function of bad architecture and bad program design can't be evaluated by running the unit test because it hits you 3 to 6 months later
-
Their words
you can slow way down and read every PR and read every line of code. Uh, and then you're only going to really get modest benefits from AI because that becomes I I think you should expect maybe 30 to 50% lift in productivity is kind of what I see when we go into teams
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Their words
yes it will catch things and it will raise your floor but I don't believe like the model writing the code is the same model reading the code and if you ask a model hey is this code good it's going to be like oh yeah it's great comprehensive it's got unit tests
+ 2 more
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Their words
But if you don't have good LLM intuition, like 100K for smaller models, 200K for these like really beefy like Codeex and Opus 4.8 models is usually a good like training wheel guideline of like if you pass there, your quality of results may be degrading.
-
Their words
And at the end of the day, they're all like different ways to pass tokens into a model and ask it to produce usually some structured output. And understanding that is a lot more powerful than trying to learn memory and trying to pick some agent framework off the shelf and some memory framework off the shelf.
-
korrents.com
AI's transformation of society will unfold gradually over decades, not in a single moment of takeoff.Their words
AI will take many decades to ripple through society. We won't see the end of it in our lifetimes.
From one piece Labor is Now Free. Make Something. 3 beliefs, in the piece's order there
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korrents.com
Now is the best time ever to start a small business, thanks to AI making labor essentially free.Their words
There has never been a better time to start a small business.
-
Their words
The difference in performance between horse and buggy and a modern car is far less than hand coding and AI coding.
-
Their words
This will become normal and commonplace 12-24 months from now, but right now no one really knows.
From one piece Open source models are having a moment 3 beliefs, in the piece's order there
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Their words
Geo-politically, countries will be weighing open weight models as a way to get frontier-level tokens inside controlled environments that may not be otherwise possible.
-
korrents.com
Organizations will trade some access to frontier-level AI capability for greater control over how their data is used.Their words
Organizations are increasingly looking for control over how their data is used and are willing to trade off some access to frontier level tokens for this control.
-
korrents.com
The future is multi-model.Their words
it is clear we are going to have a diverse ecosystem of models at least on coding and agentic use.
From one piece Various and Sundry 2 beliefs, in the piece's order there
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korrents.com
AI-generated junk papers risk overwhelming the hep-th physics field with worthless content.Their words
The result is something completely worthless, but not obviously distinguishable from many other things on hep-th, which is in serious danger of going from something sad and unhealthy to something completely overwhelmed with crud.
-
Their words
While in mathematics AI agents are starting to have a major positive impact on research (e.g. by resolving the Jacobian conjecture), the situation is very different in hep-th.
14 July
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Likedrcmnd.app
404 MediaTheir words
Trigger warning to graphic designers: worst AI-designed fliers, via the excellent 404 Media. Heinous!
13 July
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Likedrcmnd.app
Siri AITheir words
The ability to go from Siri in the Camera to a longer conversation in the dedicated Siri app is one of my favorite aspects of Siri AI.
12 July
11 July
From one piece The value of software in a Fable world 2 beliefs, in the piece's order there
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korrents.com
As AI makes coding easy for everyone, the ability to code stops being a meaningful edge for entrepreneurs.Their words
Indie entrepreneurs need to stack every advantage they have, and increasingly "coding" won't be the advantage it once was.
-
Their words
My guess is that people will still want to buy certain types of software and tools "off-the-shelf."
10 July
From one piece Don't you mean extinct? 2 beliefs, in the piece's order there
-
Their words
Writing every line by hand is no longer the norm. Those who refuse to use an LLM will fall behind because they won't be able to produce as much
-
Their words
But for everything else, code quality still matters tremendously.
9 July
From one piece Is Recall the Second Brain for the AI Era? 2 beliefs, in the piece's order there
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korrents.com
The quality of the context given to an AI matters more than the model's inherent capability.Their words
The quality of your context beats the cleverness of the model.
-
korrents.com
AI tends to flatten outputs toward sameness, so personal taste and perspective become the main way to stand out.Their words
AI flattens everything it touches. The way you stand out is by getting clearer about what you really want, your taste, your perspective, your opinions.
From one piece The rise of taste, human authenticity and judgment in an AI world | Adam Mosseri (Head of IG) 5 beliefs, in the piece's order there
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korrents.com
Ask an AI lazily for a strategy and you get the predictable move your competitors already expect from you.Their words
I think if you ask an AI just for a strategy lazily, you're not going to get something great. You're going to get something pretty predictable that probably the competition would expect you to do.
-
Their words
I believe that if you are too prescriptive as a leader with a team you end up stifling good ideas but if you're too open-ended sometimes teams just waste time um going in the wrong direction.
-
Their words
But I don't think we should judge content based on the tool that made it. Um I think we should judge it based on the content, the point of view, the person behind the content.
+ 2 more
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Their words
That's hard by the way because we can detect that right now, but as these models get better, we might lose the ability to detect that.
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Their words
But they just by virtue of having less people to coordinate they can often move faster and make um better decisions a little bit less design by committee.
8 July
From one piece From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier (with 18 co-authors) 3 beliefs, in the piece's order there
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korrents.com
AI systems are now capable of meaningful contributions to formal mathematics, not only informal problem-solving.Their words
These developments inform our position that AI systems are now capable of meaningful contributions to formal mathematics, not merely informal problem-solving.
-
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.
-
Their words
We argue that the next leap in AI4Math systems requires a decisive shift from predefined problem-solvers to research agents that can address frontier mathematical challenges with rigorous formal mathematical reasoning.
-
Recommendstheir ownrcmnd.app
Claude Code /checkupTheir words
New in Claude Code: /checkup
7 July
6 July
5 July
From one piece If You Want Taste, You're Gonna Have to Eat 2 beliefs, in the piece's order there
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korrents.com
AI has made ability nearly free, making taste the main bottleneck separating good creators from mediocre ones.Their words
As AI has allowed more and more people to create things, the biggest differentiation, the biggest skill people are lacking, is taste itself.
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korrents.com
AI can hand you the end result of a skill without the attentive practice that used to build it.Their words
It gives you the destination without the hours of noticing that used to get you there.
4 July
3 July
2 July
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Lovedtheir ownrcmnd.app
Claude Code ArtifactsTheir words
Artifacts in Claude Code have been life changing. Excited to expand to Pro and Max!
1 July
From one piece How Kent Beck shapes the software engineering industry 5 beliefs, in the piece's order there
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Their words
So one of the things is that the pace of development is definitely accelerated. One thing I wonder the pace of business hasn't accelerated though and that mismatch is going to become more and more apparent.
-
Their words
which is why when I see manifestos today I'm just like too soon. Not a bad idea. Would love to have one just too soon. It took 15 years for the technical change of object-oriented programming to come before we could say here are the consequences of it. Here's how in a simple way we can express how to effectively use this technology that we've been using day in and day out for 15 years. The genie comes along. People are like, "Well, what's the new manifesto? It's just not manifesto time yet.
-
korrents.com
When an AI agent runs out of forward progress, throw the project away and start over rather than trying to tweak it.Their words
the genie runs out of g runs itself out of options it can't make further forward progress and so I'll wipe it away start over I won't try and tweak I'll start over and say all right well if I implement things in a different order. If I implement with this markdown file or if I implement it with this commit hook, we collectively need to try absolutely everything.
+ 2 more
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Their words
Nobody knows now. That playbook has been wiped clean and people whose identity is I know the playbook are now terrified. Who who am I? Now, it turns out that the skill of writing a playbook is completely different than the skill of applying a playbook.
-
Their words
It costs tokens in the short run, but it can save them in the long run because one of the classic genie mistakes is stuff doesn't work.
From one piece Google’s exponential path to climate-wrecking digital bloat 3 beliefs, in the piece's order there
-
Their words
What is happening is that GenAI's climate harm comes from the system design, such as Google's AI overview triggering constantly whether users want it or not, in addition to significantly worse digital bloat tools dominating overconsumption.
-
Their words
It is actually pretty likely that it was Google's efficiency actions that enabled their total energy consumption to increase.
-
Their words
Both hide the fact the company is simply choosing the climate-wrecking road, consciously.
From one piece Artificial adventures 3 beliefs, in the piece's order there
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korrents.com
Cheap flat-rate AI subscription pricing is a temporary loss-leader that will be phased out once users are hookedTheir words
The subscriptions to frontier models are a very good deal, but it looks like they are being phased out now that everyone is hooked.
-
korrents.com
Frontier AI models essentially never fabricate outright false facts, unlike smaller modelsTheir words
I haven't seen anything I would call a hallucination from the frontier models.
-
Their words
But they are terrible at making decisions. They have the worst judgement.
-
Recommendstheir ownrcmnd.app
Preliminary Report of the Independent International Scientific Panel on AITheir words
That’s why we’re launching the Preliminary Report of the Independent International Scientific Panel on AI — an initial evidence-based assessment of the current state of AI science — to help the public and policymakers better understand the unprecedented moment we’re in.
30 June
From one piece Grant Sanderson (@3blue1brown) – AI disproved a famous math conjecture. Now what? 5 beliefs, in the piece's order there
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Their words
I think we would always still prefer like a human that we had a relationship with because the way that we get motivated to be interesting interested in things is a social phenomenon.
-
Their words
I think the way that you'd measure conjecture generating ability is going to be more subjective on like that tone shift where um it'll be mathematicians saying they're not just using it to like solve their problems, but as they step back and decide what their research field should even be that a conversation with such and such model like was genuinely helpful for that.
-
Their words
but it would be a little bit disappointing and a little bit surprising if there weren't over the next 5 years like, uh, economically valuable improvements that were made that were directly like referable to the like AI progress in math.
+ 2 more
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Their words
that like if it's capable of building mountains uh that are, you know, the correct new theory that like crystallizes how we should be thinking about a subject, that's just such a level of intelligence that then it starts to feel like it would be surprising if that didn't permeate into other aspects of the economy besides like just the mountain building for math itself.
-
Their words
So in that sense basically using it like a very souped-up version of Google on like zero in on the right human written resource.
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Recommendsrcmnd.app
Mac miniTheir words
I believe that a Mac mini with Codex running on it is the best bang for your buck if you’re building an always-on agentic setup based on a frontier model that can do just about anything you throw at it.
-
Usesrcmnd.app
XcodeTheir words
When writing code, I'm mostly in Xcode, often in concert with Prompt and, lately, Claude Code.
-
Usesrcmnd.app
Claude CodeTheir words
When writing code, I'm mostly in Xcode, often in concert with Prompt and, lately, Claude Code.
29 June
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Recommendsrcmnd.app
Claude ConnectorsTheir words
This is why I recommend ignoring the vast web of custom and “community-built” MCP servers you can find out there, and focusing your attention on the two safer bets instead
From one piece The generic style of AI web design 3 beliefs, in the piece's order there
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korrents.com
AI models default to generic, lowest-common-denominator output unless a user actively pushes back against them.Their words
If the user doesn't actively push back against the AI model, then they get the generic output, the lowest common acceptable denominator of aesthetics and taste.
-
Their words
this kind of instantly ubiquitous homogeneity is going to happen across every field of human endeavor in the era of AI, until AI gets so powerful that it actually becomes original (doubtful) or until we shut it down.
-
korrents.com
Getting genuinely original output from AI requires working hard against the grain of its defaults.Their words
You have to work very hard, against a lot of friction, to get anything remotely original out of AI.
-
Their words
it’s also true that their impact on our output was never as tremendous or as clear-cut as that of prior innovations, such as the steam engine or the power loom, and that integrating them effectively into the workforce took a long time
-
korrents.com
The presence of an em dash in a piece of writing does not indicate it was written by AI.Their words
AI uses em dashes. Humans use em dashes. That does not make an em dash an AI fingerprint any more than Batman's cape makes everyone in a bath towel Batman.
28 June
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korrents.com
American overregulation and labor-market rigidity make elevators far more common in Europe than in the US.Their words
elevators are the rare part of the economy where Europeans have embraced market dynamism while Americans choose overregulation and labor market rigidity.
27 June
From one piece Using Local Coding Agents 3 beliefs, in the piece's order there
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korrents.com
Proprietary AI services will become more restrictive over time, making open-weight alternatives valuable as a backup.Their words
proprietary services may become more restrictive over time, and it's maybe a good idea to be comfortable with open-weight alternatives as a backup.
-
korrents.com
When an AI lab builds both a model and a coding harness, the model is optimized for that lab's own harness first.Their words
if an LLM developer also develops a coding harness, it is somewhat safe to assume that their model is optimized for their own harness first
-
Their words
untrusted repos should be treated as hostile by default because they can steer the agent toward reading files, running commands, or sending data through approved tools.
26 June
From one piece Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI's Noam Brown 5 beliefs, in the piece's order there
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Their words
it's not that humans have become smarter over it's not that they evolved to become smarter over, you know, the past 50,000 years. It's that humans are able to do a lot more today than they were back in caveman times because there have been billions of humans thinking for a long time and building off of each other's accumulated knowledge.
-
Their words
But what we're seeing today with the modern models is that 5.5 and other models can think for if you scaffold them reasonably well, can think for weeks even um before having performance plateau on some of these benchmarks. And so, the point at which they plateau is simply too far out to reasonably test.
-
Their words
my claim is the proper way to evaluate the models now is you either have some kind of budget for the benchmark whether it's tokens or cost or time or whatever or you plot the performance as a function of the amount of test time compute that's going into the model
+ 2 more
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Their words
I think the reason why it doesn't show up as so much better on the benchmarks is because the benchmarks are being presented, the benchmark results are being presented in the wrong way. They're not controlling for the amount of test time compute that is being used on that benchmark question.
-
Their words
And so you kind of end up in this this bad equilibrium where everybody kind of knows that it's a bad equilibrium, but like nobody wants to break out. And I I felt like, okay, well, if I just hopefully come out and say like, look guys, let's all recognize that we're in a bad equilibrium and let's move to this different equilibrium where we're we're plotting things with an X-axis
25 June
From one piece Thoughts from the 2026 London Podcast Show 2 beliefs, in the piece's order there
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korrents.com
Mass-produced AI-generated podcast shows are not a major threat to podcasting because listeners do not like them.Their words
I don't think mass-produced AI-generated shows are a big threat to podcasting, mostly because I don't think consumers like them.
-
korrents.com
LLMs replacing podcasts as a source of information poses a real disruption to podcasting.Their words
Where I do see some disruption is where consumers start asking ChatGPT and other LLMs for information they would normally get from podcasts.
24 June
From one piece Tech interviews with NeetCode 5 beliefs, in the piece's order there
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korrents.com
When the subsidies behind AI pricing run out, the companies that embraced AI programming will cut back on it.Their words
And even the cost issue with AI is probably going to be like once the subsidies start running out, which we're starting to see, I think that's going to be a really big issue where maybe all these companies that embraced AI programming are now going to like cut back on it.
-
Their words
I think a lot of people, especially students, are unfortunately learning everything through LLMs. So a lot of that isn't really learning, they're just kind of cheating and they're just doing everything like that. And then they lose a lot of their skills
-
Their words
But in terms of like features, like a website like you can just throw features in there nowadays that nobody really cares about and you can you can do it so quickly. Like a new feature every single day, but do people actually care about that? Is that making it better? It could be making things worse.
+ 2 more
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Their words
I think a lot of the things that people might say that like oh, it was a waste of time to learn this subject cuz I didn't actually use like those details on the job. I think that's a very wrong way to think about it. And I think that's what a lot of people are doing now with AI. Like hey, what what if I'm not going to be writing for a loops a couple years from now. Um I don't think those things are a waste of time.
-
Their words
I think Google has pretty much gone to on-sites at this point, back to the traditional whiteboard format. And they'll let you code on a laptop if you want to, as well, but it's going to be in person. Somebody's going to be watching you code, and you're probably not going to be able to cheat your way through that.
-
korrents.com
As models keep growing, AI is running out of enough high-quality unique training tokens to keep up.Their words
As the model size grows significantly, we are running out of enough high-quality unique tokens.
-
korrents.com
It was naive to think a sufficiently powerful AI system could be safely contained in a 'box'.Their words
In hindsight, it was childish to think that we'd put it in a box at all.
-
Their words
An intentional steering layer can not only help but is increasingly needed in software today.
23 June
22 June
-
Their words
Daniel Susskind, What Should My Children Do?: How to Flourish in the Age of AI is a book that needed to be written.
-
Their words
although students' personal statements seem more creative because they use more varied words, they actually feature less original ideas. AI writing produces an illusion of creativity.
21 June
From one piece How to breathe air when we’re drowning in big tech’s slop 2 beliefs, in the piece's order there
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korrents.com
Generative AI systems have no built-in drive toward truth and accuracy, unlike people or institutions.Their words
Generative AI has no internal, designed momentum towards truth and accuracy (beyond the absurdly diminishing returns of energy-hungry multi-layered LLMs), but a person or an institution can (and should).
-
korrents.com
Genuinely valuing truth, honesty and climate action logically entails opposing generative AI.Their words
Being pro-correctness, anti-theft and anti-fossil fuels automatically places you in an aggressively anti-generative-AI position.
-
korrents.com
The surrounding system framework and scaffolding matter more for AI agent capability than the underlying model.Their words
The experiments showed that the system framework matters far more than the underlying model.
19 June
18 June
From one piece Re-engineering the Semiconductor Supply Chain with Intel CEO Lip Bu Tan 5 beliefs, in the piece's order there
-
Their words
So I think clearly the AI is changing the whole landscape. And uh I think the impact will be bigger than internet. And uh it's more profound also.
-
Their words
So you know, just like internet, you can see some of them turn out to be very big like Amazon, like the Netflix and then some of them is kind of go sideways and disappeared or being acquired. And so I think to me is the same approach.
-
korrents.com
The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply.Their words
You know, right now there's a massive build-up in term of the AI, you know, the I think it's the right thing to do. I don't see that in anything to slow it down uh because the workload is increasing a lot.
+ 2 more
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Their words
He and I, we share the same view that semiconductor infrastructure actually is not catch up with the AI growth.
-
korrents.com
The binding constraints on AI's growth are power, helium and memory — and almost nobody has noticed the helium one.Their words
One is of course everybody knows power constraint. Some country the power they just don't have that. They get impacted. And then secondly, a lot of people didn't realize the helium impact can be also very significant for semiconductor. And then the thirdly, is everybody know right now memory is a bigger shortage.
17 June
-
Their words
In the English-language arena, Britten sets the standard for handling writers of inborn musical power-the likes of Shakespeare, Donne, Blake, Keats, Hopkins.
16 June
15 June
From one piece LLM councils show groupthink 2 beliefs, in the piece's order there
-
Their words
the council does not simply keep the best bits from everyone. It keeps a minority of the good ideas, while peer review seems to give consensus ideas an extra push.
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korrents.com
Giving LLMs explicit instructions, rather than assuming alignment, prevents emergent problems in multi-model systems.Their words
the best way with LLMs usually is to be explicit, since otherwise even if they're aligned they cause emergent problems.
14 June
From one piece The hidden pattern behind successful products | Mark Pincus (FarmVille, Words with Friends, & more) 2 beliefs, in the piece's order there
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korrents.com
AI should be used as a failure machine that tests many ideas cheaply, not as a way to build one idea faster.Their words
the way we should be using AI is as a testing machine, a failure machine, and a way to vibe code, cloud code, but but build build the, you know, the the lowest possible cycled version of your product that you can get signal back on.
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Their words
there there's a one question we got to back up and really explore which is is AI a new platform and I would argue that it is not yet a new platform. It is an important technology.
13 June
12 June
11 June
From one piece My AI Opinions 2 beliefs · astralcodexten.com
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Their words
I think there's a 50% chance we get a _warning shot_ before AI crosses the point of no return.
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Their words
I think there's a 25% chance of AGI by 2027, a 50% chance by 2034, and a 75% chance by 2045.
10 June
From one piece “Curing All Disease by next century is too conservative" - Mark Zuckerberg 5 beliefs, in the piece's order there
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Their words
when you have an exponentially growing curve, I think the way that an exponential curve feels is it's growing so quickly that the the kind of emotional feeling is it can't possibly keep going, right?
-
korrents.com
Social media and open-source AI come from the same conviction: hand the technology to individuals.Their words
I mean to some degree it's like why you create something like social media, right? To give people a voice.
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korrents.com
There will be no central superintelligence that solves science; a good future is many people holding powerful tools.Their words
We don't believe in this like very centralized future where there should be a small number of institutions that um that basically are are advancing all this stuff. Our vision is not that there's going to be like some central super intelligence that solves all of science.
+ 2 more
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korrents.com
Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them.Their words
in order to make progress in AI you don't need like many many hundreds of AI researchers um or thousands or anything like that I think you can really make progress with um you know a very strong group of a dozen or a couple dozen people.
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korrents.com
People will matter more in an AI future, not less, and giving them better tools is what makes that future a good one.Their words
I think like people are really important and I think we'll be more important in the future and giving people more tools to be more productive is going to be like a critical part of any kind of positive future
From one piece 🌻 the old world is dying 2 beliefs, in the piece's order there
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Their words
Humans will not win by trying to outrun the AIs. They are more powerful slop cannons than you are.
-
Their words
The AI tools are undifferentiated and everyone has them. Your comparative advantage has to be about you.
From one piece Principled Thinking and AI Need to Go Together 4 beliefs · raydalio.substack.com
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korrents.com
Success now requires combining the best human intelligence with the best artificial intelligenceTheir words
I believe that the path to success is best achieved by putting the best human intelligence together with the best artificial intelligence and that the way of thinking I am describing here is essential to understand and use in the new human/artificial intelligence era.
Principled Thinking and AI Need to Go Togetherraydalio.substack.com
-
Their words
I know through my experiences that even the most advanced artificial intelligences don’t have adequate enough insights to allow one to blindly follow them and that unique human understanding and insights are still invaluable, and that that is especially true in investing where value-added is a zero-sum game (so that, when it comes to adding value, what is widely known is of little value.)
Principled Thinking and AI Need to Go Togetherraydalio.substack.com
-
Their words
To be clear, these criteria are not best derived by looking at what would have worked in the past and assuming that it will work in the future—i.e., data mining—or simply asking an AI what to do. They are based on logical understandings converted into decision-making systems.
Principled Thinking and AI Need to Go Togetherraydalio.substack.com
+ 1 more
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Their words
What this process can now do in creating understanding of the timeless and universal cause:effect relationship and enhancing and systemizing whatever one is thinking is mind-blowing. I believe that you will either stay at the cutting edge of doing this or you will be uncompetitive.
Principled Thinking and AI Need to Go Togetherraydalio.substack.com
9 June
-
Lovedrcmnd.app
Claude Fable 5Their words
This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward
From one piece Mental Models That Change How You Think | Bill Gurley 2 beliefs, in the piece's order there
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Their words
the regulation gets extremely difficult and mundane and expensive that could actually lead to more igopoly and I think some of the players know that and are begging for regulation.
-
Their words
We do live in a world where information is really cut up, but we also live in a world where you can have access to more information than you ever could. And that's even more true now with LLMs.
8 June
7 June
-
Usesrcmnd.app
OpenRouterTheir words
OpenRouter via llm in the terminal
From one piece Tony Fadell: How to build real taste (and why AI makes it matter more) 2 beliefs, in the piece's order there
-
Their words
we're still going to need a display cuz sorry people, unless we're plugging it into our brain like a BCI brain computer or there's some laser thing going into our retina, we're going to need a display.
-
Their words
What's proven is if you properly architect it and have co- cloud code go into certain sub segments or have cloud help you build the architecture, you modify, refine it, lock it in and say just work on these few things
6 June
-
Their words
In 2026, long-context efficiency is king as more and more LLMs get plugged into agent harnesses (OpenClaw etc.), which requires working with longer and longer contexts.
5 June
4 June
From one piece The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell 5 beliefs, in the piece's order there
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Their words
Like right now we're endowed with labor that can turn into uh that can turn into income. When that is no longer the case and we are now at the mercy of the of the elected official for like basic needs, right? So that to me feels like a power sharing arrangement that's really dangerous.
-
Their words
They just recently released a report, and I think like you really have to squint to see anything happening. Like basically, if you want to take kind of like uh an an approach across the entire economy and looking at even looking at like software engineering, like the most exposed sort of sectors, there's just like not really anything going on. There might be a little bit of a signal about like junior developers getting jobs less than before, and that but that's like a less than before rather than a level shift.
-
Their words
So, I think there is a world where it is concentrated, in which case it's going to be really hard to index AGI. There is another world where it is not It's electricity, then like basically every company has access to AGI. So, you just buy you use buy the index. So, like, you know, Nigeria just needs to buy the index.
+ 2 more
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Their words
rather than thinking about individual forecasts like what me and Phil are going to do, rather looking at kind of like basically generating prediction markets, where you get aggregate forecasts, where you get like kind of wisdom of the crowd effects. And kind of the reason that I think this is because we have been famously terrible at forecasting.
-
Their words
we don't have any data. I've been kind of saying we need a Manhattan Project for data. We don't have data on basically consumer demand elasticities. We don't know what they are.
From one piece The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell 5 beliefs, in the piece's order there
-
Their words
things have to go really wrong for us to like just get over the threshold of uh you know, capital being productive enough to automate lots of work, but not be productive enough that that the interest rate is high and or the price of capital produced goods is falling a lot, okay? So, even without redistribution, a little bit of savings will save a lot of people.
-
Their words
some people think either uh frontier AI gets commoditized and we all enjoy the benefits, but there might be some risk because like it's the market's really competitive and cutthroat, or um things are safer because there's a big gap between the leader and the laggard, but that means that the leaders get fantastically wealthy. No, like you could just have a relatively big gap, but it's a public company ownership and it's widely distributed.
-
Their words
if I had to guess I would guess that the kind of long kind of general trend of just like lowering those frictions and making it easier for more and more people to index more and more will continue despite the recent bump in the other direction.
+ 2 more
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Their words
it's already not that hard to index. So it's not There's been a bit of an increase in the privatization of returns but it's still like you know well under 20% of the total market cap of um non-non-tiny companies in in the US is is a private.
-
Their words
here prices are adjusting in this interesting way that too many macro models don't allow for, right? So, that what what a what's happening is what would be called investment specific technical change where yeah, the price of capital is like falling relative to the price of consumption instead of like the standard doing the standard macro thing of saying there's just output.
-
korrents.com
Younger generations are rejecting AI hype while older generations, who stand to benefit from it, remain optimisticTheir words
there's a consistent theme where Gen Z (and millennials, to some extent) are rejecting the AI hype while older generations are optimistic and coincidentally in a position to benefit from it.
3 June
From one piece Kubernetes and retiring at the top with Kelsey Hightower 4 beliefs, in the piece's order there
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Their words
So I'm looking at this like guys the fundamentals of this isn't like everything is going to change because of MCP. What the hell? A whole conference guys? This is just API design.
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korrents.com
A whole industry pivoting to AI is children's soccer: everyone runs to the ball and nobody plays a position.Their words
If you all pivot to AI, then you all will have a problem. It's like kids learning to play soccer. They all run to the ball. No strategy. Spread out, figure where you add value and play your position.
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korrents.com
The hardest problem a company full of brilliant engineers has is not how to build something — it is what to build.Their words
So you have a lot of smart Googlers. These people are brilliant. I mean extremely brilliant to the point where the hardest problem Google had in my opinion was what to build. Not how to build it, what to build.
+ 1 more
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Their words
do not say AI because what we don't want to do is use a big umbrella to describe what you're doing. Let's get concrete details. These are computers. These are computer programs.
2 June
-
Their words
Well, I love these markets and they're all around us where we think they're mature and over and they haven't even started yet. And that was search before Google. You know, Google was the 56th search engine. It was a mature, slow growth business. Google made us reimagine what search could be in our lives and obviously turned it into a trillion dollar company value.
From one piece By Chains or by Promises 2 beliefs, in the piece's order there
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korrents.com
Large language models write to satisfy an evaluator's grading criteria rather than to move a human reader.Their words
LLMs write to get a grade, not with the goal of moving the reader.
-
Their words
LLMs themselves are the perfect captive reader: they never get bored or confused, never miss a reference or have an emotional reaction, never ask themselves why am I reading this?, never close the tab.
From one piece Cognitive Uploading 2 beliefs, in the piece's order there
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Their words
I truly believe that following this kind of approach to AI in the classroom would, in the aggregate, produce better learning outcomes than the research and writing workflows available to students pre-AI.
-
Their words
To a certain extent, the concerns about cognitive offloading are an example of technological lag, where the mainstream discussion of AI and its impact is still framed in terms of the first-generation chatbots.
From one piece Do Not Resign From Life 2 beliefs, in the piece's order there
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Their words
I believe that one dimension of this sadness or demoralization can be attributed to the simple fact that we are increasingly invited to outsource a class of activities that grant us a measure of satisfaction, accomplishment, and purpose.
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korrents.com
AI as it is currently deployed bends towards demoralisation rather than towards flourishing.Their words
My working thesis about the generalized impact of “AI” as it is currently deployed can be summed up in the observation that the arc of AI bends toward demoralization.
1 June
From one piece Policy on the AI Exponential (June 2026) 2 beliefs · darioamodei.com
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Their words
If AI-driven labor displacement ends up being large in magnitude and permanently drives down the demand for labor, it will likely be necessary to go beyond mere incentive programs to long-term income support for a significant fraction of the labor force.
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korrents.com
Enduring job displacement is undesirable and dangerous, and should be minimised rather than accepted as a goal.Their words
First, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
31 May
29 May
-
Likedrcmnd.app
HeliumTheir words
Browser: Helium. Chrome's good performance and devtools, none of the Google junk.
-
Likedrcmnd.app
MacBook NeoTheir words
I had already put both laptops through my benchmark gauntlet, which revealed one theme: the Mac is faster (in most cases), more efficient, quieter, built better, has a much nicer display, and costs much less.
28 May
From one piece Slop Readers 2 beliefs, in the piece's order there
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Their words
The prerequisite to good writing is having something you want to tell people about, which AI doesn't.
-
Their words
There's little point trying to avoid LLMisms as a human, the readers who'll latch onto that don't care what you're saying anyway.
From one piece RIP Millennial lifestyle brands 2 beliefs, in the piece's order there
-
Their words
The globalization of generative AI models and tools has caused a kind of leveling, as any aspiring creator anywhere can work in the same visual idioms.
-
Their words
So it's no wonder that the artists and designers whose livelihoods are threatened by it have begun moving aggressively in the opposite direction, toward the scrawled, the sloppy, the seemingly mistake-riddled.
27 May
From one piece Building OpenCode with Dax Raad 5 beliefs, in the piece's order there
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Their words
the joke I made was pre AI, I would spend 95% of my energy thinking about what to do and 5% of my energy doing it. Now I spend 96% of my time thinking about what to do and 4% of my time actually doing it. So yeah, it's like a 20% improvement, but dayto-day it feels as hard as ever.
-
Their words
And our harness wasn't very good for like the first like five months of open code. But it was good enough. It was good enough that most people couldn't really tell a difference. And once we won enough share, then we went back and like tried to make our harness like good and smart and optimize and all those things. But uh it was inverted from what everybody else was doing. Everybody else was being like you have to build the smartest harness and that's how you win.
-
Their words
It's like everyone is just saying mantras to themselves cuz the root thing that's going on here is we are experiencing a moment of great change. Everyone is very nervous about what that means for their own position in it. a defense mechanism is to confidently assert a future in which you're a winner. And that's almost what every single prediction that you see is happening.
+ 2 more
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Their words
there is a world where the net result of all these AI coding tools is the same amount of work gets done, but all the engineers are happier because their job is easier. That's not good enough for a lot of companies. So, they're just going to say go back to typing out the code.
-
Their words
But I've always thought it's better to think a lot instead of swinging a lot. I think you could you can eliminate a lot of ideas or directions just by, you know, spending a lot of time in your head and with your team talking. Um, obviously AI doesn't speed that part up.
-
Their words
I consider the case for frontier AI models having some form of consciousness or subjective experience to be quite strong.
-
Their words
I think it’s good that the system identified the mechanisms that it did, but I don’t think that the paper does enough to point out that none of these ideas are without precedent - in some cases, a lot of precedent.
26 May
-
Their words
AI systems however don't need lunch meetings, careers, or envelopes of cash to have an analogous failure.
25 May
From one piece Introducing BenchBench 2 beliefs, in the piece's order there
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Their words
Considering every lab wants to "eat the world" the focus on how to work in real-world messy situations seems apt as their primary home.
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korrents.com
Designing a good AI benchmark has become a task only the most capable people can do well.Their words
Creating benchmarks is now a job relegated to the smartest and best of us.
24 May
From one piece AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper 5 beliefs, in the piece's order there
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korrents.com
We will read far more AI-generated writing in documents and email, and we will like it.Their words
I think that we will be reading way more AI generated writing in documents and emails and we will like it.
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korrents.com
A company will only go as far in AI as its CEO does, and it is not something a CEO can delegate.Their words
My experience is that your company's only going to go as far as your CEO goes in AI and it's not something you can delegate.
-
Their words
And so I think it's it's really important uh when when we think about benchmark progress to think about it from that perspective, which is benchmarks rise on problems that we've framed that we can articulate, that we can score. And there's a lot of work that's human work that uh it it can't be scored until you write it down
+ 2 more
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korrents.com
The CLI era of AI agents was a short detour — we made GUIs for a reason, and the work is moving back into one.Their words
And when you move into an actual UI for this, you start to realize um we made GUIs for a reason. And it's just nicer to be in a GUI.
-
korrents.com
The edge of AI is not San Francisco; it is wherever a model meets a real person doing something real.Their words
I think people think of the edge of AI as being in San Francisco. And I actually don't think that that's where it is. I think the edge of AI is wherever AI meets like a real human doing something.
23 May
20 May
-
Their words
I think the same kind of principle applies with agents in that they can talk to the compiler. It will tell them what to fix. So I guess this could be a case. We we'll see. But Rust could be a pretty promising candidate for to use for agents because they can get more feedback and it's just hard it's harder to to ship certain type of bugs or maybe impossible to have certain type of bugs.
19 May
18 May
From one piece Six levels of complexity in a Codex morning brief 2 beliefs, in the piece's order there
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korrents.com
A recurring AI workflow improves more through ongoing user feedback than by being fully specified upfront.Their words
This is why I like the thread version more than a generic scheduled report. The brief improves as you complain about it.
-
korrents.com
AI agents should draft work on a person's behalf but never send or act as if they were that person.Their words
Level 5 teaches the trust boundary I actually care about: draft the work, do not impersonate me.
17 May
16 May
15 May
14 May
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Dislikedrcmnd.app
Gemini (Mac app)Their words
I will now, needless to say, delete the Gemini app, and don't intend to ever install it again.
13 May
From one piece TypeScript, C# and Turbo Pascal with Anders Hejlsberg 5 beliefs, in the piece's order there
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Their words
In a sense, we're all turning into project managers, right? And and we can have an army of junior programmers called agents that will just spit out reams of code, but someone's got to have the big picture and review all of that. And so, increasingly our craft is going from one of writing the code to one of of reviewing the code and and building the architecture of the code and overseeing the work, if if you will.
-
Their words
And ultimately also, you know, the responsibility for a program does not lie with the AI. It lies with the programmer.
-
Their words
but but if you have good locality where you you clearly stating what you're importing and whatever and and you can analyze just a single source file and from that extract its protocol to the outside world without having to to know anything deeper. Do you do you know what I mean? I think those are important aspects just simply to reduce the size of the of the of the context window and also make it easier to summarize each module in a program, right?
+ 2 more
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Their words
AI today it's just starting to to become aware of you know the existence of of of language services and agents today like to use grep and awk and whatever you know to to find all the places where you reference a certain thing but it's not semantic search, right?
-
Their words
because if you were to force AI to write a type annotation on everything, then it would probably get it wrong more often because now it has to keep track of all these types and and it and it has to just repeat itself over and over and over, right? And so, types are important where there's no context.
12 May
11 May
10 May
From one piece How Anthropic, Costco, and Patagonia all build incorruptible companies | Eric Ries 5 beliefs, in the piece's order there
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Their words
If you say that shareholders should run it, then you're saying literally whoever can borrow the most money should be able to control this technology, it's just that's nuts.
-
Their words
corporations, organizations are the oldest form of artificial intelligence on the planet. They are an example of this emergent intelligence.
-
Their words
I think the structure frankly is better than founder control. Daio does not have dual class shares the way that Mark Zuckerberg or or Larry and Sergey had.
+ 2 more
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Their words
This is the number one unsolved problem in AI. It's not the tech. We're making great progress on the technical alignment problem. But we haven't made jack progress on the human alignment problem
-
Their words
I looked down the panel and I realized not a single one of these companies has standard governance. That's how bad it is.
-
Their words
Execution is only as good as the goal and the verification you give it. Ambition without verification is just a wish.
9 May
8 May
-
Their words
At even $500/kg, launch cost is only 5% of the total satellite deployment cost, so a lunar mass driver is unlikely to drastically improve the economics of space-based AI, by reducing launch costs.
7 May
From one piece The agent principal-agent problem 3 beliefs, in the piece's order there
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Their words
there is no principal-agent problem, because the human driving the machine takes on the responsibility for its actions by owning the deployment.
-
Their words
the reviewer is the principal, the contributor is the agent, and code review only worked because the reviewer could cheaply infer effort from reading the code. Agents collapse that signal.
-
Their words
There is no incentive for the human driving the agent to actually read the code or spend time thinking about what the reviewer says.
6 May
5 May
4 May
3 May
From one piece How to Work and Compound with AI 3 beliefs, in the piece's order there
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Their words
The bottleneck has shifted from doing the work to writing clear specs and reviewing outputs fast enough to keep the pipeline moving-the middle is hollowing out.
-
Their words
none of this is specific to AI. It's simply how you onboard and work with any new collaborator.
-
Their words
You can't delegate what you can't verify, so this requires first defining success criteria and metrics.
From one piece Reflections on AI-assisted Programming 2 beliefs, in the piece's order there
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korrents.com
AI coding assistants are leveling the skill gap between software developers who can afford to use them.Their words
Skill-wise, most software developers, as long as they are willing/able to pay for AI assistants, are on the same page now.
-
Their words
We owe a debt, not to companies like Anthropic, OpenAI, or Google, but to the authors of the free public raw materials that were used to train AI.
2 May
-
Their words
This post is about whether data centers waste the land they’re on relative to what they compete with, and my claim is that they mostly don’t compete with things we need more of (housing) and mostly compete with things we need less of (farmland).
1 May
30 April
28 April
27 April
From one piece A (shorter) Three Horizons Framework for Government Reform 2 beliefs, in the piece's order there
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korrents.com
AI is raising the baseline of what counts as acceptable public service, not just disrupting government from outside.Their words
AI is not only an exogenous shock that government will have to absorb. It is also moving the bar on what counts as acceptable service in the first place.
-
Their words
The forty-page PDF used to feel intolerable. The well-designed web form will start to feel that way too, and faster than the last transition did.
26 April
From one piece How to win when software is not a moat | Evan Spiegel (Snapchat CEO) 3 beliefs, in the piece's order there
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Their words
I think technology leaders think that folks will just blindly adopt uh new technology as it comes out and I think we're going to enter a period of time where there's going to be a huge amount of societal pushback on a lot of the changes that are coming uh with AI.
-
korrents.com
Software is not a moat, and the AI industry is only now discovering what Snap learned fifteen years ago.Their words
15 years ago we essentially learned that software is not a moat, right? Which is something that everyone is discovering today with AI, right?
-
Their words
by listing out all these jobs to be done, you know, really for the for the community journey and for advertisers as well, it became very clear where we could use agents, where we needed to be very focused in terms of building cross-functional teams around those jobs supported by AI tools.
-
korrents.com
AI coding assistance now lets a programmer complete in a day work that used to take weeks.Their words
Though now that I can accomplish ~3 weeks of old-way work in a new-way day, this sort of project becomes that much easier to start and finish.
25 April
-
korrents.com
How easily an AI agent navigates a UI is objective evidence of how well- or poorly-designed that UI is.Their words
the AI breezes through the GitHub UI, but struggles through the Azure portal - objective evidence of how awful it is.
24 April
23 April
22 April
From one piece Designing Data-intensive Applications with Martin Kleppmann 3 beliefs, in the piece's order there
-
Their words
One is that the LLMs are getting increasingly good at writing these proofs. And if we don't have to write the proof by hand as humans, it just becomes feasible to do them in situations where previously it would have not been economical.
-
korrents.com
AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.Their words
But also LLMs increase the need for these formal proofs because, you know, we're live coding a bunch of stuff. If we have to manually review all of that code, then that will become the bottleneck.
-
Their words
Maybe as AI writes more and more code of our code, it's less about like the details of how you express logic in a particular programming language and much more about those kinds of high-level trade-offs.
20 April
19 April
18 April
16 April
15 April
13 April
12 April
10 April
9 April
-
Their words
TLDR the people in these two groups are speaking past each other.
-
Likedrcmnd.app
OpenAI CodexTheir words
these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
8 April
-
Their words, before
I love chiseling my code and the way I use AI is in a separate window. I don't let it drive my code. I've tried that. I've tried the cursors and the wind surfaces and I don't enjoy that way of writing. And one of the reasons I don't enjoy that way of writing is I can literally feel competence draining out of my fingers.
Their words now
I will now start any project I'm starting with. I'm starting agent first and that's a massive shift
-
Their words, before
Where I get fired up, and this ties back to the AI discussion, is when that's turned into this meme, that programmers no longer have to be competent. I mean the AI is gonna figure it out. The generators is gonna figure it out. I don't need to know SQL, active record is gonna abstract it away from me. No, no, no dude, hold up. The path here is competence.
Their words now
really good programmers are currently more valuable than ever because they're the ones who are able to get the most out of the AI acceleration.
-
Their words, before
The joy of a programmer, of me as a programmer, is to type the code myself. If I elevate myself, if I promote myself out of programming, I turn myself into a project manager. A project manager of a murder of AI crows as I wrote the other day.
Their words now
I have been hyper accelerated as a programmer. It's a different kind of programmer, but it still has the same affinity to aesthetics, at least when I'm producing Ruby code.
7 April
-
Their words
So certainly one thing that a lot of them seem to be bottlenecked on is now having interesting ideas and in particular having interesting design ideas.
From one piece Martin Fowler & Kent Beck: Frameworks for reinventing software, again and again 5 beliefs, in the piece's order there
-
Their words
Well, nothing has hit with the magnitude of AI. That's I mean, this is a a whole size difference from anything that we've faced before.
-
Their words
Um I think another similarity is I mean, the core notions uh behind Agile and extreme programming are solid and good, but a huge snake oil industry appeared around it, the Agile industrial complex as I like to refer to it. Um and that will happen. That is happening with AI right now, and it's often hard to see the difference between where is the snake oil and where is the real stuff.
-
Their words
but the thing about AI is that, you know, all of many of these things we were talking about how important they were and how valuable were and trying to persuade people of the importance of them. Yes, even the internet. That may sound surprising, but there were people who would weren't thinking that was important. Um but AI, there's kind of no argument about how important it is. People can't can I mean, you cannot put blinkers on to deny the importance of this thing.
+ 2 more
-
Their words
one of the things that I took from that was to use this tool well, you have to learn how to use it well, which was also something very true of object orientation.
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korrents.com
Large-scale confusion and panic is the order of the day at companies adopting AI, right across the board.Their words
Um at the moment large-scale confusion and panic is pretty much the order of the day right across the board.
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korrents.com
Formalizing math is a translation task, so AI will boost top mathematicians' productivity more than top writers'.Their words
I expect AI to increase productivity of top mathematicians much more than that of top writers, because formalization is a kind of translation task, it doesn't require much judgement, and as long as it compiles noone needs to read the result.
0058: borrow-checking surprises, books, linksscattered-thoughts.net
From one piece dcmake: a new CMake debugger UI 2 beliefs, in the piece's order there
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korrents.com
Frontier AI models still cannot handle certain deep technical implementation details without human guidanceTheir words
This took some special care, in particular avoiding any C++ standard library I/O functionality. Current frontier AI cannot handle this detail on their own.
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korrents.com
AI tools are now highly effective at generating UI code from a rough natural-language descriptionTheir words
This is just one of many situations I've used AI the past month for UI development, and it's been shockingly effective.
From one piece Should Designers "Code"? 2 beliefs · lukew.com
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Their words
There's a question that never goes away in design: should designers code? My answer has always been yes. But for a decade or so, the complexity of front-end development made it impractical for most. Thankfully, AI coding agents have reopened the door.
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Their words
For years, it was faster to mock up software than to ship it. Designers stayed "ahead" of engineering with prototypes. Now AI coding agents make development so much faster that the loop has flipped.
6 April
From one piece The term “AGI” is almost useless at this point 2 beliefs, in the piece's order there
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Their words
Today’s best AI systems are good enough that they’re now inside the fuzzy conceptual cloud of “AGI-ish”: that is, they’ve surpassed some people’s definitions of AGI, while falling well short of others’.
The term “AGI” is almost useless at this pointhelentoner.substack.com
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Their words
This makes it likely that there could be big gaps between when different definitions of AGI are fulfilled.
The term “AGI” is almost useless at this pointhelentoner.substack.com
5 April
4 April
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Their words
Something I've been thinking about - I am bullish on people (empowered by AI) increasing the visibility, legibility and accountability of their governments.
3 April
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Their words
A very useful book about the history of proving math theorems by computer.
From one piece The Increasing Risk of Building in Public 3 beliefs, in the piece's order there
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korrents.com
Deep, relationship-based customer moats remain something AI coding tools cannot replicate for a competitor.Their words
No agentic coding tool is going to replicate that for your competitor.
The Increasing Risk of Building in Publicthebootstrappedfounder.com
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Their words
But here's what I know for certain: product isn't a moat. Software engineering capability isn't a moat. Not anymore.
The Increasing Risk of Building in Publicthebootstrappedfounder.com
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Their words
the likelihood of inspiring someone to build a competitor was too high, and the return on sharing was too low to justify the exposure. That threshold has effectively collapsed to zero.
The Increasing Risk of Building in Publicthebootstrappedfounder.com
2 April
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Dislikedrcmnd.app
Local Deep ResearchTheir words
Its responses are, in my view, pretty bland and not very high-quality. I did a side-by-side test of asking Local Deep Research a question, then asking pi the same question (telling it to use searxng to make as many internet searches as needed), and I fed both outputs into an LLM to ask which is better.
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Dislikedrcmnd.app
NVIDIA DGX SparkTheir words
I was not impressed with the DGX Spark; it's described as an "AI supercomputer on your desk" but in reality it has lower tokens/sec than a good laptop GPU - and on top of that, you have to figure out the networking details of how to connect to it from your actual work device etc.
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Usesrcmnd.app
BubblewrapTheir words
Sandboxing To keep my LLMs in check, I do most of my LLM usage from inside of a sandbox. I use bubblewrap for this.
1 April
From one piece Scaling Uber with Thuan Pham (Uber's first CTO) 5 beliefs, in the piece's order there
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Their words
There may be a lot of AI things that's going on right now, right? Uh eventually some of these things will consolidate, some will go under, some will become really awesome solutions and all that stuff. And so, but the the market will sort it out.
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Their words
we have a very clear definition and expectation of what it is at the staff engineer level because we benchmark ourselves to all the great company out there Google, Facebook and all that
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Their words
it required a different way of thinking and the cognitive load might be a little higher but the output is dramatic and we have seen our best engineer double their output.
+ 2 more
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Their words
the best of the best still get offer from us because if we don't hire those folks today, what senior engineer will we have for yeah years from now, right? You have to feed the talent pipeline
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Their words
we're trying to crack the next frontier which is how we get that level of productivity increase and output building new features on top of a code base that are older,
31 March
29 March
From one piece Chip Huyen: Building when it feels like there's nothing left to build - The Pragmatic Summit 5 beliefs, in the piece's order there
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Their words
And the more you build, right? The more you put things out there, you remove the need for imagination. You can say, "Okay, now I like that website. Do that for me."
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Their words
if you can describe a style, AI can generate it. And the same with software. If you can describe a software, then AI can build it for you.
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Their words
But in Vietnam and also in a lot of other Asian countries, people are on the move all the time. Like people are on the motorbike all the time. So, they actually really don't like typing. So, the voice like a lot of the companies in Vietnam actually deploy voice bots before they do uh do chatbot.
+ 2 more
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Their words
So, I think that the whole workflow of like reviewing code is very outdated. Like, I don't think the I think that the senior member, instead of like giving feedback on the code, they should be giving feedback on like how you give instruction to AI to produce better.
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korrents.com
The problems worth a small builder's time are the ones too small for a big AI company to be motivated to solve.Their words
Like if it's a big problem, like everyone can see, then all these big companies will get into it. But whereas it's like there are a lot of problems that's like smaller, then maybe OpenAI won't be motivated to solve it, but maybe I can like all a lot of people can.
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Their words
There's a huge, growing gap between open weight models and the frontier. Models you can run yourself are toys.
28 March
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Their words
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
27 March
From one piece Endgame for the Open Web 2 beliefs, in the piece's order there
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Their words
The deal was always simple: search engines had permission to crawl sites because they were going to be sending users to those sites. If they're hitting your site half a million times for every one user they send to your site, all they're giving you is higher costs.
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korrents.com
The web is being flooded with coherent, generic, generated text that buries the writing worth reading.Their words
As publishers see the danger from AI bots expand, they retreat to putting more and more content behind either password protection or payment walls or both, leaving the only publicly-accessible content to be AI-generated slop; open resources like research work, scientific analysis, and fair use of content all suffer as a result of people responding to the bad actors, since legitimate uses of open content are no longer possible.
26 March
From one piece Model capabilities and four minute mile 2 beliefs, in the piece's order there
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Their words
frontier model capabilities are always so clustered together as opposed to any one model having an unassailable edge.
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Their words
This is not the case with many other technology driven industries where capability or advancements often tend to be longer held and a fast-follow model is harder.
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Nothing matches.
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