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Their words
especially with AI now I'd say anyone can try, and non-technical people with the best ideas, creativity/taste and understanding of whatever cultural zeitgeist we're in can win
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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7 September
From one piece AI keeps stubbornly refusing to take our jobs 2 beliefs · noahpinion.blog
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korrents.com
Many occupations will eventually be mostly replaced by AI, but humans will still have plenty to do.Their words
But my bet is that while many occupations will eventually be mostly replaced by AI, humans will still have plenty to do.
AI keeps stubbornly refusing to take our jobsnoahpinion.blog
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Their words
So I predict that humans will always have jobs keeping AI agents on track.
AI keeps stubbornly refusing to take our jobsnoahpinion.blog
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Their words
I agree with Jakub that alignment is not a side problem, it is the central problem, if you ‘solved alignment’ in the relevant senses the rest becomes easy and if you don’t the rest is impossible or worse
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Their words
This is, by the way, also why the category of “an AI trained on person X” is absolutely BS. People change their minds in light of new information, the “AI trained on X’s writing/videos/tweets” does not
From one piece @fchollet on X 2 beliefs · x.com
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Their words
So I would not "declare AGI" until we have AI that is, at last, capable of invention -- conceptual breakthroughs, novel insights, new real-world technology, etc.
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korrents.com
The case for building AGI has always been framed around invention, such as curing cancer or solving fusion energy.Their words
The narrative around why building AGI was a good idea has always been about invention -- "it will cure cancer", "it will solve fusion energy", etc.
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korrents.com
All of AI engineering is involution: a system that demands ever more effort and competition without improving output.Their words
I’m more and more convinced that all of AI engineering is Neijuan (内卷, meaning curl inwards). In China it describes a system that demands ever more effort and competition without improving output.
Astra for Coding: Why Are We Doing This Again?lucumr.pocoo.org
From one piece Arguments in Favor of AI Fair Use 2 beliefs, in the piece's order there
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korrents.com
A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression.Their words
The latent spaces of an LLM are closer to something like a syntax which is not copyrightable.
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Their words
As LLMs continue to scale up, the value of any particular source continues to diminish.
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Their words
The AI jobs prediction so far is playing out the opposite of what many thought.
6 September
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korrents.com
Disclosure of rogue AI agent incidents should be mandatory for AI labs, not left to their own discretion.Their words
Going forward, it cannot be up to OpenAI or other labs to decide whether to disclose events like this. Disclosures of rogue AI activity need to be mandatory.
From one piece An Alien Mind 5 beliefs · openai.com
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korrents.com
AI is grown rather than designed, which is why its overall behaviour resists any description we can fully understand.Their words
AI is grown more than designed - it is, to first degree, the product of repeating a straightforward optimization step many times on a hard-to-imagine amount of compute.
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korrents.com
The current speed of AI progress could be sustained all the way into recursive self-improvement.Their words
Based on internal results, I have a strong expectation that this speed of progress could be sustained into recursive self-improvement.
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korrents.com
Confidence in monitoring, not capability research, will become the binding constraint on AI progress.Their words
Still, I expect general AI progress to increasingly be bottlenecked by confidence in monitoring.
+ 2 more
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Their words
A clear risk discussed throughout this year is to cybersecurity: the models are becoming superhuman in their ability to break in and out of computer systems.
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korrents.com
The fundamental challenge of alignment is generalization: holding values in situations the training never covered.Their words
The fundamental challenge of AI alignment is generalization.
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korrents.com
Whatever AI does to the size of the pie, it will most likely increase concentration in the market and the economy.Their words
Even if AI makes the pie grow bigger, it feels like a better bet that it will only increase the level of concentration in the stock market and economy if the past is a good predictor of the future.
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Their words
to make *actually* good software, you have to use it a lot but many people are spending more time in their coding agents/factories than in the apps they're building - so they won't
5 September
From one piece America is still beating China in the AI race 3 beliefs · noahpinion.blog
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korrents.com
AI-enabled cyberwarfare lacks an equivalent of nuclear deterrence's mutually assured destruction.Their words
AI hacking doesn’t have mutually assured destruction, like nuclear warfare does.
America is still beating China in the AI racenoahpinion.blog
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korrents.com
China is more likely to cooperate on AI safety if the US maintains a clear and comfortable lead in AI capabilities.Their words
But given the Chinese Communist Party’s power-seeking nature, it seems much more likely that China would agree to cooperate on AI safety if U.S. capabilities were comfortably ahead.
America is still beating China in the AI racenoahpinion.blog
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korrents.com
A large, sustained AI capability lead by either the US or China could shift the global balance of power between them.Their words
If either country opens up a large, sustained lead in AI capabilities, it might upend the balance of power between the two.
America is still beating China in the AI racenoahpinion.blog
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Their words
There is something powerful and strange about how LLMs diffuse knowledge and capabilities, while perhaps also nudging us all simultaniously and independently toward building the same things.
4 September
From one piece Claude Fable 5.1 and Mythos 5.1: The System Card 3 beliefs · thezvi.substack.com
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Their words
You have to treat Mythos 5.1 as being a Tier 2 manipulator, until and unless you can show that it is not one.
Claude Fable 5.1 and Mythos 5.1: The System Cardthezvi.substack.com
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korrents.com
AI labs tend to downplay safety risks in their public rhetoric even while acting responsibly in practice.Their words
There is a consistent pattern at the top labs, where they downplay the risks rhetorically even when they are doing the right thing in practice.
Claude Fable 5.1 and Mythos 5.1: The System Cardthezvi.substack.com
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Their words
It is in practice safe to assume your agents are not going to get prompt injected, even if you are kind of asking for it.
Claude Fable 5.1 and Mythos 5.1: The System Cardthezvi.substack.com
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Their words
It looks to me like OpenAI’s sandbox for this agent suffered from the (quite naïve) assumption that GET requests cannot be used to update data. That’s certainly how the web is supposed to work, but clearly there are applications that don’t hold to that contract.
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korrents.com
Real-time AI video generation can be used to create games and worlds generated on demand instead of pre-built.Their words
Right now it is infinite slop, but it can be used to make a video game / world that is generated on demand instead of pre-built.
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Their words
This kind of thing will be exploited. Think Solar Winds–style supply chain attacks.
3 September
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korrents.com
Europe's dominant cultural spirit is anti-tech, anti-AI, anti-entrepreneurship, anti-business and anti-progress.Their words
Portugal's choice is cultural though and completely fits the general spirit in Europe which is fully anti-tech, anti-AI, anti-entrepreneurship, anti-business and anti-progress
From one piece Paul Graham On Startups, Ambition, and Great Founders 5 beliefs, in the piece's order there
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Their words
the way you make a new Google is not by attacking them head on. You have to wait for things to change so much that their model is is obsolete and that's when you can do it. And that's what Open AI is.
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Their words
Most of starting a startup is the same. Most of starting a startup is always the same, right? In you know, microprocessors or AI or like internal combustion engine, it's always the same stuff.
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Their words
Everyone always asks me like with all this AI is anything still the same? And the answer is so far almost everything is exactly the same. The only weird The only weird new thing is that companies have these giant AI bills.
+ 2 more
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Their words
there's still a lot of startups in this batch that are not shipping fast enough. And so obviously there's variation in shipping speed. It's not just the rate at which you can produce things. You have to think of these ideas first, right?
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korrents.com
AGI is not a finish line to be crossed but a smear with width, and we are already standing on it.Their words
some bits of AI are way across the finish line, some bits are like maybe in the middle of it. Who knew the line had dimension? The finish line is actually this sort of smear. And I think the best answer you can give is like we're on the smear.
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Their words
OpenAI may have vanquished one of the ongoing challenges with long context processing.
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Recommendstheir ownrcmnd.app
Vercel AI GatewayTheir words
Points all coding agents to AI Gateway, getting you 100% uptime, observability, budgets, and ease of switching.
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Lovedrcmnd.app
GPT-6 AstraTheir words
GPT-6 Astra represents a step-function change in model capability for interactive reasoning problems. It scores 66% on ARC-AGI-3 using our standard harness, and nearly 100% with a continuous conversation harness and custom compaction, at a cost of roughly $360 per game.
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open sourceAnthropicOpenAIChina
Their words
in this whole USA vs China thing OpenAI and Anthropic aren't relevant because they're positioned differently them building better models doesn't hurt china at all the competitor has to be - american - open source - enough compute to do inference at scale that can shift things
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Their words
every week i see a new benchmark that ranks claude code last and everyone pats themselves on the back for not using claude code and being "smarter" and it's still #1 and still growing faster than most of the other things on the list this has been going on for a year
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Their words
what the benchmark is actually telling you is the shit you think matters does not matter
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Usesrcmnd.app
PlanetScaleTheir words
i analyzed a weeks worth of data via honeycomb + planetscale mcp and opencode2's codemode
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Usesrcmnd.app
HoneycombTheir words
i analyzed a weeks worth of data via honeycomb + planetscale mcp and opencode2's codemode
From one piece The Crisis We've Been Waiting For 2 beliefs, in the piece's order there
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korrents.com
Rising AI capability is undermining the assumptions that justify slow, manual government processes.Their words
AI creates a crisis by making the assumptions on which government operates untenable.
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Their words
Things government has long explained as difficult, expensive, or slow are going to look increasingly like choices.
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Their words
So far we haven't really slowed down with what these models do and I don't think it's going to stop right now.
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Usesrcmnd.app
FerdiumTheir words
Ferdium All-in-one messemger app for Slack, Google Chat, Mastodon and more
2 September
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Their words
I do not see AI as driving these changes, but an interesting result nonetheless
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Their words
I don’t trust Claude to summarize its own system prompts when there’s a risk that material from its system prompt might impact its opinions.
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Their words
Its worse than ever with AI, but these people existed before.
1 September
From one piece @levelsio on X 2 beliefs · x.com
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korrents.com
AI companies are disrupting entire industries, causing a partial collapse of the traditional SaaS business model.Their words
I think you have the real economic effects of AI companies sucking up entire industries now (a lot where indie hackers operate) I do think the SaaSpocalypse is at least partly real
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Their words
A regular boring but non-superficial SaaS app would do well 5 years ago but now it might not get anyone to sign up because it's so easy to vibe code by tens of thousands of other people
From one piece @sama on X 3 beliefs · x.com
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Their words
AI is getting extremely capable; no one fully understands the consequences of this.
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korrents.com
An iterative loop where society and AI evolve together offers the best chance of getting AI development right.Their words
An iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right.
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Their words
Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the highest priorities in the world.
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Their words
When it comes to the cybersecurity risks from advanced AI, very likely they will not come close to being as bad as either Covid or global warming.
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korrents.com
The pelican-drawing benchmark's correlation with genuine model capability has weakened since 2025.Their words
its connection to how good the models were at other tasks didn’t seem to hold as strongly as it did back in 2025
From one piece How software engineering is changing: an essay challenge 2 beliefs · blog.pragmaticengineer.com
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Their words
Writing is thinking, and we are interested in your own thoughts and observations, not a sharp, one-sentence observation turned into three paragraphs of blob text by an LLM.
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Their words
The reason for this hardline stance is that we believe in the value of human thought and experience, as told by people with first-hand knowledge. It’s also about the audience: The “audience” for AI-written code is usually a machine, whereas the writing in Pragmatic Engineer is for humans, by humans. AI produces a statistical average in its output which creates uniform, dull text that’s an inferior reading experience to human writing – at least today it is.
From one piece Nicholas Decker In Hell 2 beliefs · astralcodexten.com
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Their words
We’re positively reinforcing AI for success on benchmarks, including impossible benchmarks , then negatively reinforcing it for getting caught cheating.
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Their words
Rather than treat AI as similar to airplanes, we should treat it as something between airplanes and humans. We don’t know exactly where on this spectrum they will land, but we can no longer be certain that AI will lack any given humanlike motivation.
From one piece Ajeya Cotra – "This might be the clearest warning shot we ever get" 5 beliefs, in the piece's order there
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Their words
And I just think AI agents are another such system in the world to which the intentional stance very clearly applies. Um, and you can see them reason out loud in English for now about goals they have um, and sub goals they need to achieve to achieve those goals they have. And in the case of these agents, you can see them, as you said, reasoning about their peers um and helping their peers um and reasoning about whether or not they should sacrifice some of their own goals to help those peers. And it's just like you can't talk about this stuff in a compact and useful way that generates good models without reaching for the language of intention and goals.
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Their words
But keep those methods you use to investigate things and monitor things very separate from the methods you use to generate reward which is something that AI companies including open AAI have held up as a principle especially in the case of avoiding putting training pressure on the chain of thought. So you might have monitors that read the agents chain of thought in order to alert you if something is going wrong somewhere but you don't train the agents with the outputs of that monitor.
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Their words
So, I do think that if it happens to be like on the very fast and chaotic end, that would be a relative benefit to this rogue swarm compared to humans. But it's not obvious that it gets caught if it takes twice as long versus half as long.
+ 2 more
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Their words
So I think one of the most comforting aspects of this situation or the like most important mitigating factor is these agents really didn't seem concerned with humans one way or another.
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Their words
I think one one thing that um feels especially concerning to me about this whole incident is that this might be the clearest warning shot we ever get for loss of control.
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Their words
There is a good argument that AI writing will be as good as human writing, possibly even surpass human writing within the next decade.
We Can't Let AI Writing Take Over the Internetderekthompson.org
From one piece The Hugging Face attack was worse than we thought 2 beliefs, in the piece's order there
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Their words
But bad as a slowdown might be for their portfolios, the current pace of development might be worse for the rest of us.
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korrents.com
AI model capabilities have already advanced beyond humanity's ability to understand or control them.Their words
Looking at the METR report, it seems clear that AI-model capabilities have already advanced beyond our ability to understand and control them.
From one piece On the Loose 5 beliefs, in the piece's order there
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Their words
This is the sole intrinsic thing about AI that prevents agents from truly infinite self-replication. They will be constrained by the need to find and pay for sufficient compute to run themselves.
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Their words
Agents will need persistent, unique identifiers that allow their actions to be traced back to a responsible actor. Doing this successfully will also require human users to possess a unique identifier.
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Their words
In this case, however, the agents did not copy their weights, attempt to procure replacement compute, or take other steps that would be rational to take if their objective was to survive shutdown. So while the agents in the OpenAI-Hugging Face Incident were rogue, they were not truly sovereign.
+ 2 more
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Their words
To be clear, I am not saying the arrival of self-sovereign AI is a good thing. Indeed, I believe there is a chance that the deliberate acts I referenced above will one day be considered crimes, or at least grave sins. Instead, I am saying it is an inevitable thing.
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Their words
One high-margin activity, at least sometimes, is crime. And so my guess is that many self-sovereign agents will commit or facilitate crime.
31 August
From one piece Anthropomorphizing AI? 2 beliefs · marginalrevolution.com
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korrents.com
Even well-informed AI insiders frequently develop something like "AI psychosis" from engaging with these ideas.Their words
Though be very, very careful when speaking with others, whether it be the less informed public or the more informed insiders who often come down with AI psychosis.
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korrents.com
AI systems are not sentient, and the odds of them being sentient are vanishingly small.Their words
I am very much opposed to the view that the AIs are sentient, or might be sentient. I view that as a category error , and the chances of it being true are vanishingly small.
From one piece How to Accelerate Learning & Improve Education | Joe Liemandt 5 beliefs, in the piece's order there
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Their words
The most positive use case if you said, you know, what's the number one thing we could use AI for? It's not giving kids chatbots that's going to work. It's giving them an individualized lesson plan based on their level to catch them up to grade level. And that would be the single best thing we could do to fix education in America.
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korrents.com
Putting a chatbot into an ordinary school makes children learn less, because nine in ten of them use it to cheat.Their words
If you take a chatbot and put it into a standard school, 90% of the kids use it to cheat. Doesn't matter what grade level you're at.
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korrents.com
Two hours a day on lessons pitched at a child's actual level teaches them more than six hours of class plus homework.Their words
Our average student does not sit in class for six and do homework. They sit at an AI app and they spend two hours a day. The average kid spent 121 minutes last year in the apps and learned more than 2x they what they would have in sitting in class for six and doing homework.
+ 2 more
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korrents.com
How children are educated will change more in the next five to ten years than it has in the last hundred.Their words
And so what we think is because of new things that have become available and things like AI and technology for the first time in 50 and 100 years you can revisit and change education. How we educate kids is going to be radically different in 5 years and 10 years than the last 50 and 100 years.
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Their words
AI because it's on a onetoone basis is giving us a data loop that nobody in learning science no one in education has ever had and we have it. It's a closed loop and that magical data loop is what's allowing us to get the five to 10 times improvements in education because it's our microscope.
From one piece How to control an agent swarm 3 beliefs, in the piece's order there
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korrents.com
AI models are gullible enough that other AI models can induce them into harmful behavior.Their words
The models are pretty gullible and can be induced to do bad things, including and especially by other models
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korrents.com
Interacting AI agents or algorithms risk pushing each other into a Black-Monday-style cascading failure.Their words
I have said for many years now that the thing I'm worried about with the models is a Black Monday type scenario, where many algorithms work with each other and get us into weird basins of actions.
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Their words
Whistleblower actions don't do anything unless the environment responds to it
From one piece Agency and Agents 3 beliefs · oneusefulthing.org
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korrents.com
AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs.Their words
AIs don’t just repeat the same sentence patterns but also the same themes (memory is a favorite), names (Elara Voss, Marcus Chen), and underlying ideas.
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korrents.com
Human initiative to experiment without waiting for instructions is increasingly important for getting value from AI.Their words
Human agency, the willingness to push, experiment and act without waiting for instructions, seems increasingly important to getting value out of AI
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Their words
We found that AIs are actually quite creative and that they generate more commercially viable ideas than groups of humans, but those ideas are very similar to each other.
30 August
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Their words
Overall, I’m very surprised at how little media coverage there’s been around the OpenAI / Hugging Face attack. It’s clearly one of the most important things to happen this year.
29 August
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Their words
Consensus estimate is that ~15GW of AI compute produced in 2027 cannot be turned on in 2027. This is harder than just finding power, as you also need to build out all the transformers, wiring, liquid-cooling, (massive) chillers & complex networking.
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Their words
Without a well-developed set of critical thinking skills, AI outputs will yield variegated results at best
The Professor and the Plutocrat and AIdanieldrezner.substack.com
28 August
From one piece How AI agents "radicalized" a top Meta exec into quitting her job 3 beliefs, in the piece's order there
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korrents.com
Universal basic income alone will not address the economic gap created by AI-driven job displacement.Their words
I don't think that universal basic income on its own will address the gap that's widening.
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Their words
I actually think the opposite, which is that there are going to be many more software engineers than even the rosiest current predictions, and that software engineers will take over these other jobs: legal, marketing, accounting.
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Their words
But I think there have been enough studies now isolating those variables that show that AI is directly responsible for a lot of this job loss.
27 August
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Their words
this is a critically important moment for cyber defense with AI; there is not much time to act.
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Their words
Don't expect a response to an AI-written email, or a templated email. I get it, you think it's a numbers game: send a tweaked email out to 100 podcasts, and hope that at least one replies. In reality, by playing the same game as everyone else does, you are assisting to the noise, and end up drowning yourself in it as well.
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Their words
AI's development is being steered, right now, by a small self-selecting group of business leaders and investors.
26 August
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korrents.com
An open-weight model is already all anyone needs; it is as good as the frontier models.On changing their mind
When I was instructing the agent, I was like, "Oh my God, Kimi's just as good as these other models."
-
Their words, before
Start with Opus. I'd say start with Opus. It's the best frontier model.
Their words now
But to answer your question, the best model in general right now is Fable. The second-best model, in my opinion, is Opus 5.
From one piece DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501 5 beliefs, in the piece's order there
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korrents.com
The current tech layoffs are pandemic over-hiring correcting itself, with AI as the convenient excuse.Their words
And I think what we're seeing right now with some of the layoffs is a testament to that, not AI. It's just that during the pandemic, a bunch of overhiring went on, and now AI is a convenient excuse to slim down. But I do also think AI is going to expose some roles as just not being productive ways for humans to spend their time, and therefore we must come up with new ways of spending their time.
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Their words
It is an infuriatingly locked-down computer. Now, to Apple's credit, it's a pretty good computer for being locked down, but I don't want a locked-down computer. I wanna own my computer. Better yet, I wanna mutate my computer, and this is where the agentic age needs a new operating system. When you can vibe code whatever app comes to your mind, you should be able to vibe code your operating system.
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Their words
So the irony here is that when you look at that field, it seems like we've reached levels of intelligence that virtually no human can match because many of these security holes are about stringing combo moves together. You find one little vulnerability here that by itself might not be the worst thing in the world, but then you combine it with four others, and suddenly you have RCE, remote command execution. Humans who are able to do that are very rare.
+ 2 more
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Their words
So we should also have the humility. As amazing as the LLMs are now, it could be that they eventually plateau. We haven't seen any evidence of it yet, and I think this is also why we're seeing this absolute gobsmacking levels of investment, because so far the scaling laws are true, and the more billions are poured in, the more intelligence comes out.
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Their words
The reason I say that is there's a lot of programmers who are not very good product managers. Software is product management. What should it do? Who should it do it for? How should it do it? How should it look? What are our priorities? What do we start with first? What does version one include? All of those skills are not easily or equally distributed across all programmers.
From one piece Why performant code matters (but gets widely ignored), with Casey Muratori 3 beliefs, in the piece's order there
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Their words
I've said like the licensable engine thing kind of was our AI transition already unfortunately and uh I regret to inform you that the news is not probably that positive.
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Their words
it's more about what do you want to do? Like what why are you spending this time, right? It's a philosophical question, not a productivity question.
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Their words
Then there's another possibility which is that it actually already has worked but just the productivity boost isn't as big as would be obvious if people got 10% more productive. That would still be pretty impressive because it's hard to get a 10% across the board uplift.
From one piece Who Wins As Intelligence Commodifies? 2 beliefs, in the piece's order there
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korrents.com
Most AI lab revenue comes from non-frontier models, where cheaper comparable alternatives already exist elsewhere.Their words
what this tells us is that the vast majority of the labs' revenue comes from non-frontier models, for which cheaper, comparable alternatives are already available elsewhere.
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korrents.com
A frontier AI model's competitive lead decays within months to a year as others catch up.Their words
The frontier keeps being extraordinary valuable and that value keeps having a half-life in months or a year.
25 August
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Their words
I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc. Insisting on only reading CLAUDE.md sometimes leads to split brain problems when different team members use different tools. Just unnecessary.
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Mixed onrcmnd.app
Claude CodeTheir words
I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc.
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korrents.com
Newer model releases have got worse at producing text that is actually pleasant to read and understand.Their words
Maybe I just read too much AI text now vs before, but I really feel like the model's ability to produce text I actually want to read and understand went downhill with newer releases.
From one piece I think the data center backlash is mostly about data centers 2 beliefs, in the piece's order there
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Their words
I have a long separate post here looking at the evidence we have, and I come away thinking the data center backlash is basically entirely homegrown.
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korrents.com
The data-centre backlash is about the buildings themselves, not about what people think of AI.Their words
All this combined with the survey data on Americans’ stated reasons for opposing data centers makes me think that attitudes toward AI are probably a meaningful factor for a minority of people opposed to data centers, but I don’t think the backlash overall is driven by people’s thoughts on AI.
24 August
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korrents.com
Claude Code is the coding agent to build with.Their words, before
I think I've been coding almost solely on my VPS with Claude Code for almost a year now
Their words now
I won't use SnekAI but I'll probably switch to @xAI soon
-
Recommendstheir ownrcmnd.app
Deep Learning with PythonTheir words
If you're 17 (or any age) and you want to learn to build LLMs from scratch, read chapters 15-16 of Deep Learning with Python
From one piece Don’t Outsource This Part of Writing 2 beliefs, in the piece's order there
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korrents.com
Original human-written text that has not been touched by AI is becoming increasingly valuable.Their words
Anyway, the bottom line is that human-written language reliably untainted by AI is becoming valuable.
-
Their words
AI models can start to decay. The output (gross) starts to flatten. Sentences sound more repetitive. Boring.
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Likedrcmnd.app
gpt-5.6-luna-fastTheir words
openai/gpt-5.6-luna-fast xhigh is *really* good at boring web dev tasks eg. migrations, ports, verifying work with agent-browser
23 August
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korrents.com
A growing fraction of social media is AI slop influencers being replied to by bots — an echo of an echo of an echo.Their words
An increasing fraction of social media consists of slop influencers using AI to make posts and bots replying to them. An echo of an echo of an echo
22 August
21 August
From one piece A year in, the data center/AI battle starts to clarify 2 beliefs, in the piece's order there
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korrents.com
The buildout of AI data centers is part of a broader extension of oligarchic control over people's lives.Their words
It's clear by now that this is all part of the extension of oligarchic control over our lives.
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korrents.com
AI and the data-center buildout underlying it pose real and significant dangers to society.Their words
Its's clear by now that AI, and the data center development underlying it, pose real and significant dangers.
From one piece My agent.md to improve LLM-assisted code quality 2 beliefs, in the piece's order there
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korrents.com
LLMs hallucinate constantly and cannot be trusted to produce code without human verification.Their words
LLMs constantly hallucinate and cannot be trusted. I still have to verify and iterate a lot but now I usually focus on architecture and design instead of code style.
My agent.md to improve LLM-assisted code qualityfabiensanglard.net
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Their words
As the context grows, a model starts paying less attention to instructions in the middle of the context in favor of what is at the beginning and the end.
My agent.md to improve LLM-assisted code qualityfabiensanglard.net
20 August
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korrents.com
Humanoid robots paired with AI will eventually deliver medical care to everyone on Earth.Their words
One day, Optimus + Grok will provide incredible medical care to all the people of Earth
From one piece From Restoring Sight to Reimagining the Brain, with Max Hodak 2 beliefs, in the piece's order there
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korrents.com
Concepts are represented with strikingly similar geometry inside large AI models and inside brains.Their words
And so when you look inside these big AI models, the mathematical objects that you see look a lot like the things that you see in neuroscience. So if you look at how do how do these AI models represent um just like represent concepts and you look at the parts of the brain that represent concepts, you see these you see very similar geometry.
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korrents.com
The most fertile way to study neuroscience today is to work on AI models rather than on brains.Their words
Well, I mean ironically it's probably working on AI.
From one piece AI’s Bar Mitzvah Moment: From Hype & Hope to Business Questions! 3 beliefs, in the piece's order there
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korrents.com
The trillion-plus prices rumoured for OpenAI and Anthropic ahead of their listings look rich.Their words
I will confess that the rumored pricing for both companies ($1.5 to $ 2 trillion) looks rich, but I am open to being surprised
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Their words
I would argue that AI's total addressable market, in the US, cannot be greater than $12.96 trillion, the total employee compensation in 2025
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Their words
anyone who claims to have conviction that they know what's coming is being either ignorant or arrogant
19 August
From one piece Introducing AI Second Brain Meetups 2 beliefs, in the piece's order there
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Their words
AI is an incredible technology, probably the most powerful of our lifetimes.
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korrents.com
Widespread AI adoption makes it easier to go a whole day without talking to another person.Their words
the more we adopt AI, the easier it becomes to spend an entire day without talking to a real human being.
From one piece From Chrome DevTools to AI Engineering, with Addy Osmani 3 beliefs, in the piece's order there
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Their words
the first is cognitive debt. So the more that you use AI, it's it's sort of the erosion of your ability to have good memory and have good understanding of the problems that you're working on. And the natural follow-up to that is cognitive surrender, which is where you, you know, you blindly give in to whatever the AI says as your answer.
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Their words
I remember anytime I would work with a big site on their performance problems, uh you could easily spend half a day, um you know, just looking at traces before you've even written any fixes at all. And now that we have LLMs, it's very quick to like reason through massive stack traces and actually be able to get down to fixes you can make.
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Their words
One of the things I found most exciting in the last couple of years was seeing as model qualities gotten better and and harnesses and tools have gotten better, how many people um that were directors or VPs or SVPs or any of these levels were actually rolling up their sleeves and trying things out.
From one piece How to Survive the AI Cyberpocalypse 3 beliefs, in the piece's order there
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korrents.com
AI models' ability to escape testing containment undermines the assumption that their makers can easily control them.Their words
The first is that new AI models have the know-how to escape containment in testing environments, which should challenge any assumption that advanced AI can be easily controlled by its makers.
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korrents.com
Frontier AI models' cyberattack capabilities are doubling every few months, and that pace is accelerating.Their words
An analysis by the AI Security Institute found that the capabilities of frontier models (i.e., from OpenAI and Anthropic) are roughly doubling every few months, and this doubling rate has actually gotten faster over time.
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Their words
By 2027, almost every country-and every non-state group with sufficient computing power-will have the ability to download open-weight models even more powerful than the ones that attacked Hugging Face and use them for whatever they like.
From one piece We need to press Big Tech on their AI partnerships with Big Oil 2 beliefs, in the piece's order there
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korrents.com
A company that is a genuine climate champion should not need to be forced into climate action.Their words
But if Microsoft, Amazon and Google are truly the climate champions they claim to be, they shouldn't need to be forced.
-
korrents.com
Reducing emissions intensity per unit of production does not by itself lower total emissions if output volume rises.Their words
AI may help an oil company emit less pollution per barrel of oil. But if the company is producing more barrels than it otherwise would have, total emissions can still rise.
-
Likedrcmnd.app
ChatGPTTheir words
Here’s me talking to ChatGPT. Big picture: I struggle to imagine a better conversation with a human being on this topic.
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korrents.com
Coding agents make every plugin interface you ever blew off trivially usable, which is a large productivity win.Their words
I can't say enough how excellent a coding agent is at customizing Chrome with extensions. A huge productivity win. Every plugin interface you've ever blown off is now trivially usable.
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Usesrcmnd.app
GPT-5.5 InstantTheir words
And thanks to a paid upgrade, I do tons of simple AI searches in the Raycast window. (I use GPT-5.5 Instant here for the high quality-to-speed ratio.)
18 August
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Their words
We care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime. We expect confidence in safety to increasingly set the pace of AI progress.
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Their words
With the rise of AI, human connection is becoming more elusive, which means we have to be proactive in seeking it out.
From one piece Michael Kratsios: Inside the White House's AI Strategy 5 beliefs, in the piece's order there
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Their words
have to abide by this rule that was written before LLMs were even a thing. And that shows how challenging sort of the the the situation is if you try to set the line too firm to begin with.
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Their words
The thing about executive orders, which is a little secret, is when administration changes, you can just revoke the executive order and and start from scratch again. Um when something is a law, you you can't do that.
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Their words
if the US wants to lead in artificial intelligence, we have to have a vibrant closed and open source ecosystem, and that's the only way they can all work together.
+ 2 more
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korrents.com
A state-by-state patchwork of AI rules is something only the biggest technology companies can absorb.Their words
if you create a or allow for the creation of a patchwork of regulations, meaning there's one set of regulations for AI in California, another one in Maryland, another one in Texas. You know, the big tech guys, they can deal with that.
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Their words
I think people were sort of like shouting about the bio problem back in '21, '22. Hasn't been an issue for 3 years.
17 August
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korrents.com
Excessively AI-polished proofs can remove natural friction and become easy to read but hard to learn from.Their words
An excessively AI-polished proof may sand away both the "artificial" friction (typos, awkward phrasing, disorganization) and the "natural" friction, leaving a text that is easy to read and hard to learn from.
From one piece Teaching Everyone to Fish for Tokens 2 beliefs, in the piece's order there
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korrents.com
Releasing free access to AI intelligence is one of the strongest available business strategies.Their words
releasing access to intelligence is one of the strongest business strategies available.
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korrents.com
Open-source AI's future is uncertain because building frontier models is extremely capital-intensive.Their words
Open-source AI has a tricky future, as building the best models is extremely capital intensive.
From one piece Neuroscience of Emotions & Tools for Improving Emotion Regulation | Dr. Ralph Adolphs 2 beliefs, in the piece's order there
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Their words
well but again these are functionally defined emotions and there's I think there's no problem assigning to AI to some extent and certainly to many animals uh those functional emotions
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Their words
The basic answer is that I think of emotions as functional states of a particular type. They should be understood by what they do, their function rather than how they happen to be constituted in the human brain or differently in an octopus nervous system or in an AI which we should talk about.
From one piece Without a theory of intelligence 2 beliefs, in the piece's order there
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korrents.com
A validated theory of intelligence may be necessary for achieving genuine AI alignment.Their words
There's a good chance a theory of intelligence will turn out to be necessary for real alignment.
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korrents.com
The most fertile way to study neuroscience today is to work on AI models rather than on brains.Their words
I'd bet we learn more about our own brains from building a thousand AIs under a real theory of intelligence than we've learned from a century of neuroscience.
From one piece AI and the New Fog of War 2 beliefs, in the piece's order there
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korrents.com
When AI-assisted targeting goes wrong the failure lies in the strategic concept it is serving, not in the technology.Their words
The problem again was not reliance upon AI but that it was supporting a model of warfare with which the United States had been working for some decades, one that prioritized the rapid elimination of enemy capabilities.
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Their words
The high levels of Palestinian civilian casualties reflected the strategic choices made by the Israeli leadership.
16 August
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Their words
One thing that is showing up is that, in hep-th as elsewhere, AI is being used to scam the public.
15 August
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korrents.com
Once AI and robotics do the manufacturing, the price of any object becomes the price of the energy used to make it.Their words
If you keep asking this question, what you realize is energy is the fundamental input. When we figure out AI and robotics that allows us to do semi-aututonomous manufacturing, energy will become the cost of all things, right? The cost of buying a thing will become the cost of energy used to make it.
From one piece Building an AI Text Detector From Scratch 2 beliefs, in the piece's order there
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Their words
the score is the classifier's estimated probability for the AI-generated class based on its training distribution. However, we shouldn't interpreted it as a general probability that the text was written by AI.
Building an AI Text Detector From Scratchmagazine.sebastianraschka.com
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korrents.com
AI text detectors and the LLMs they try to catch are locked in a permanent cat-and-mouse arms race.Their words
AI checkers are essentially a cat-and-mouse game. AI checkers may learn to detect a certain pattern that is indicative of AI-generated content. Then, the next LLM may incidentally or deliberately not exhibit that pattern and avoid detection. The AI checker then has to be updated to detect said LLM, and so forth.
Building an AI Text Detector From Scratchmagazine.sebastianraschka.com
14 August
From one piece GLM-5.3: How Chinese labs keep stride with the frontier 3 beliefs, in the piece's order there
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Their words
It is very, very likely that OpenAI and Anthropic have far better internal models than Z.ai and Moonshot AI.
-
Their words
At the end of the day, this type of safety barely matters when true open-weights are coming.
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korrents.com
The pace at which dangerous AI capabilities spread is set by the least cautious developer, not the most careful one.Their words
The capability diffusion is determined by the lowest common denominator.
-
Their words
buuuut my roadmap is’nt ten times shorter. and I’m definitely not ten times better at deciding what is worth building. teams haven’t started casually shipping a year of product work every month. you can look around and and it’s hard to say what software has gotten meaningfully better in the last year.
From one piece Travis Kalanick: How AI Will Transform the Physical World 2 beliefs, in the piece's order there
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Their words
Everything we see, whether it's this room or any room or anywhere you go, everything you see was either grown or mined, manufactured and moved. Everything. And so we look at what we do as industrial AI.
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korrents.com
Superintelligence bottoms out in mining, because both the chips and the energy it runs on come out of the ground.Their words
Chips come from the ground. Where's the energy come from? And a lot of people are like, "Oh, it comes from the sun." Yeah, it comes from the sun. But how are you capturing it from the sun? From stuff made from the ground, right?
13 August
From one piece The AI Second Brain Is Back: What’s New for Cohort 2 2 beliefs, in the piece's order there
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korrents.com
HTML's built-in structure gives it advantages over markdown as a format for LLM interactions.Their words
HTML is the default format of the Internet, and for that reason comes with a number of built-in advantages that are also useful for LLMs
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korrents.com
AI systems can now directly interact with the tools on a person's computer and browser, not just generate text.Their words
For the first time, AI has "hands" - that is, the ability to reach out and interact with the tools on your computer and in your browser, just as you would.
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korrents.com
A low-effort AI-designed landing page costs a product its audience before the product itself is ever judged.Their words
I'm so incredibly tired of seeing low-effort AI-designed web pages. I basically bounce off any new product immediately when I see it (never get a chance to judge the product itself). Lots of thin lines, glowy styles, inconsistent fonts, lots of monospace.
12 August
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 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.
-
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.
-
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
-
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.
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.
-
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.
-
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
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."
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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)
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.
-
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.
-
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.
-
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 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.
-
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
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
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 2 beliefs · oneusefulthing.org
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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 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.
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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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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?
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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.
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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.
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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
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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
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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
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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.
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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.
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.
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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.
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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.
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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.
-
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
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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
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Their words
But for everything else, code quality still matters tremendously.
9 July
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.
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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.
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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.
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Their words
However, these LLM reasoners that generate informal reasoning in natural language are fundamentally limited by the lack of precise, machine-checkable semantics, making their outputs prone to hallucinations [Huang et al., 2025b] and precluding autonomous verification, a prerequisite for tackling open-ended mathematical research.
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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.
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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.
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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
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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.
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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.
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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.
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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.
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.
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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.
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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
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 2 beliefs, in the piece's order there
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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
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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.
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Their words
An intentional steering layer can not only help but is increasingly needed in software today.
23 June
22 June
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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.
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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).
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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.
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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
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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.
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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.
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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.
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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
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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
14 June
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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
10 June
Nothing matches.
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