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Their words
In 2026, long-context efficiency is king as more and more LLMs get plugged into agent harnesses (OpenClaw etc.), which requires working with longer and longer contexts.
What public figures publish and believe, in their own words.
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Top people in AI
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6 June
5 June
From one piece 🌻 conversations on culture in the AI age 3 beliefs, in the piece's order there
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Their words
I think the value of static content will go down, and the value of live interaction will go up.
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Their words
I think the value of summary will go down, and the value of secrets will go up.
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Their words
The value of bureaucracies will go down, and the value of founders will go up.
4 June
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korrents.com
Younger generations are rejecting AI hype while older generations, who stand to benefit from it, remain optimisticTheir words
there's a consistent theme where Gen Z (and millennials, to some extent) are rejecting the AI hype while older generations are optimistic and coincidentally in a position to benefit from it.
From one piece The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell 5 beliefs, in the piece's order there
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Their words
things have to go really wrong for us to like just get over the threshold of uh you know, capital being productive enough to automate lots of work, but not be productive enough that that the interest rate is high and or the price of capital produced goods is falling a lot, okay? So, even without redistribution, a little bit of savings will save a lot of people.
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Their words
some people think either uh frontier AI gets commoditized and we all enjoy the benefits, but there might be some risk because like it's the market's really competitive and cutthroat, or um things are safer because there's a big gap between the leader and the laggard, but that means that the leaders get fantastically wealthy. No, like you could just have a relatively big gap, but it's a public company ownership and it's widely distributed.
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Their words
if I had to guess I would guess that the kind of long kind of general trend of just like lowering those frictions and making it easier for more and more people to index more and more will continue despite the recent bump in the other direction.
+ 2 more
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Their words
it's already not that hard to index. So it's not There's been a bit of an increase in the privatization of returns but it's still like you know well under 20% of the total market cap of um non-non-tiny companies in in the US is is a private.
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Their words
here prices are adjusting in this interesting way that too many macro models don't allow for, right? So, that what what a what's happening is what would be called investment specific technical change where yeah, the price of capital is like falling relative to the price of consumption instead of like the standard doing the standard macro thing of saying there's just output.
From one piece The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell 5 beliefs, in the piece's order there
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Their words
Like right now we're endowed with labor that can turn into uh that can turn into income. When that is no longer the case and we are now at the mercy of the of the elected official for like basic needs, right? So that to me feels like a power sharing arrangement that's really dangerous.
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Their words
They just recently released a report, and I think like you really have to squint to see anything happening. Like basically, if you want to take kind of like uh an an approach across the entire economy and looking at even looking at like software engineering, like the most exposed sort of sectors, there's just like not really anything going on. There might be a little bit of a signal about like junior developers getting jobs less than before, and that but that's like a less than before rather than a level shift.
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Their words
So, I think there is a world where it is concentrated, in which case it's going to be really hard to index AGI. There is another world where it is not It's electricity, then like basically every company has access to AGI. So, you just buy you use buy the index. So, like, you know, Nigeria just needs to buy the index.
+ 2 more
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Their words
rather than thinking about individual forecasts like what me and Phil are going to do, rather looking at kind of like basically generating prediction markets, where you get aggregate forecasts, where you get like kind of wisdom of the crowd effects. And kind of the reason that I think this is because we have been famously terrible at forecasting.
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Their words
we don't have any data. I've been kind of saying we need a Manhattan Project for data. We don't have data on basically consumer demand elasticities. We don't know what they are.
3 June
From one piece Kubernetes and retiring at the top with Kelsey Hightower 4 beliefs, in the piece's order there
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Their words
So I'm looking at this like guys the fundamentals of this isn't like everything is going to change because of MCP. What the hell? A whole conference guys? This is just API design.
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korrents.com
A whole industry pivoting to AI is children's soccer: everyone runs to the ball and nobody plays a position.Their words
If you all pivot to AI, then you all will have a problem. It's like kids learning to play soccer. They all run to the ball. No strategy. Spread out, figure where you add value and play your position.
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korrents.com
The hardest problem a company full of brilliant engineers has is not how to build something — it is what to build.Their words
So you have a lot of smart Googlers. These people are brilliant. I mean extremely brilliant to the point where the hardest problem Google had in my opinion was what to build. Not how to build it, what to build.
+ 1 more
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Their words
do not say AI because what we don't want to do is use a big umbrella to describe what you're doing. Let's get concrete details. These are computers. These are computer programs.
2 June
From one piece Cognitive Uploading 2 beliefs, in the piece's order there
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Their words
I truly believe that following this kind of approach to AI in the classroom would, in the aggregate, produce better learning outcomes than the research and writing workflows available to students pre-AI.
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Their words
To a certain extent, the concerns about cognitive offloading are an example of technological lag, where the mainstream discussion of AI and its impact is still framed in terms of the first-generation chatbots.
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Their words
Well, I love these markets and they're all around us where we think they're mature and over and they haven't even started yet. And that was search before Google. You know, Google was the 56th search engine. It was a mature, slow growth business. Google made us reimagine what search could be in our lives and obviously turned it into a trillion dollar company value.
From one piece Do Not Resign From Life 2 beliefs, in the piece's order there
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Their words
I believe that one dimension of this sadness or demoralization can be attributed to the simple fact that we are increasingly invited to outsource a class of activities that grant us a measure of satisfaction, accomplishment, and purpose.
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korrents.com
AI as it is currently deployed bends towards demoralisation rather than towards flourishing.Their words
My working thesis about the generalized impact of “AI” as it is currently deployed can be summed up in the observation that the arc of AI bends toward demoralization.
From one piece By Chains or by Promises 2 beliefs, in the piece's order there
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korrents.com
Large language models write to satisfy an evaluator's grading criteria rather than to move a human reader.Their words
LLMs write to get a grade, not with the goal of moving the reader.
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Their words
LLMs themselves are the perfect captive reader: they never get bored or confused, never miss a reference or have an emotional reaction, never ask themselves why am I reading this?, never close the tab.
1 June
From one piece Policy on the AI Exponential (June 2026) 2 beliefs · darioamodei.com
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Their words
If AI-driven labor displacement ends up being large in magnitude and permanently drives down the demand for labor, it will likely be necessary to go beyond mere incentive programs to long-term income support for a significant fraction of the labor force.
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korrents.com
Enduring job displacement is undesirable and dangerous, and should be minimised rather than accepted as a goal.Their words
First, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
31 May
30 May
29 May
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Likedrcmnd.app
HeliumTheir words
Browser: Helium. Chrome's good performance and devtools, none of the Google junk.
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Likedrcmnd.app
MacBook NeoTheir words
I had already put both laptops through my benchmark gauntlet, which revealed one theme: the Mac is faster (in most cases), more efficient, quieter, built better, has a much nicer display, and costs much less.
28 May
From one piece RIP Millennial lifestyle brands 2 beliefs, in the piece's order there
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Their words
The globalization of generative AI models and tools has caused a kind of leveling, as any aspiring creator anywhere can work in the same visual idioms.
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Their words
So it's no wonder that the artists and designers whose livelihoods are threatened by it have begun moving aggressively in the opposite direction, toward the scrawled, the sloppy, the seemingly mistake-riddled.
From one piece Slop Readers 2 beliefs, in the piece's order there
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Their words
The prerequisite to good writing is having something you want to tell people about, which AI doesn't.
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Their words
There's little point trying to avoid LLMisms as a human, the readers who'll latch onto that don't care what you're saying anyway.
27 May
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Their words
I consider the case for frontier AI models having some form of consciousness or subjective experience to be quite strong.
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Their words
I think it’s good that the system identified the mechanisms that it did, but I don’t think that the paper does enough to point out that none of these ideas are without precedent - in some cases, a lot of precedent.
From one piece Building OpenCode with Dax Raad 5 beliefs, in the piece's order there
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Their words
the joke I made was pre AI, I would spend 95% of my energy thinking about what to do and 5% of my energy doing it. Now I spend 96% of my time thinking about what to do and 4% of my time actually doing it. So yeah, it's like a 20% improvement, but dayto-day it feels as hard as ever.
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Their words
And our harness wasn't very good for like the first like five months of open code. But it was good enough. It was good enough that most people couldn't really tell a difference. And once we won enough share, then we went back and like tried to make our harness like good and smart and optimize and all those things. But uh it was inverted from what everybody else was doing. Everybody else was being like you have to build the smartest harness and that's how you win.
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Their words
It's like everyone is just saying mantras to themselves cuz the root thing that's going on here is we are experiencing a moment of great change. Everyone is very nervous about what that means for their own position in it. a defense mechanism is to confidently assert a future in which you're a winner. And that's almost what every single prediction that you see is happening.
+ 2 more
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Their words
there is a world where the net result of all these AI coding tools is the same amount of work gets done, but all the engineers are happier because their job is easier. That's not good enough for a lot of companies. So, they're just going to say go back to typing out the code.
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Their words
But I've always thought it's better to think a lot instead of swinging a lot. I think you could you can eliminate a lot of ideas or directions just by, you know, spending a lot of time in your head and with your team talking. Um, obviously AI doesn't speed that part up.
26 May
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Their words
AI systems however don't need lunch meetings, careers, or envelopes of cash to have an analogous failure.
25 May
From one piece Introducing BenchBench 2 beliefs, in the piece's order there
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Their words
Considering every lab wants to "eat the world" the focus on how to work in real-world messy situations seems apt as their primary home.
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korrents.com
Designing a good AI benchmark has become a task only the most capable people can do well.Their words
Creating benchmarks is now a job relegated to the smartest and best of us.
24 May
From one piece AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper 5 beliefs, in the piece's order there
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korrents.com
We will read far more AI-generated writing in documents and email, and we will like it.Their words
I think that we will be reading way more AI generated writing in documents and emails and we will like it.
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korrents.com
A company will only go as far in AI as its CEO does, and it is not something a CEO can delegate.Their words
My experience is that your company's only going to go as far as your CEO goes in AI and it's not something you can delegate.
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Their words
And so I think it's it's really important uh when when we think about benchmark progress to think about it from that perspective, which is benchmarks rise on problems that we've framed that we can articulate, that we can score. And there's a lot of work that's human work that uh it it can't be scored until you write it down
+ 2 more
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korrents.com
The CLI era of AI agents was a short detour — we made GUIs for a reason, and the work is moving back into one.Their words
And when you move into an actual UI for this, you start to realize um we made GUIs for a reason. And it's just nicer to be in a GUI.
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korrents.com
The edge of AI is not San Francisco; it is wherever a model meets a real person doing something real.Their words
I think people think of the edge of AI as being in San Francisco. And I actually don't think that that's where it is. I think the edge of AI is wherever AI meets like a real human doing something.
23 May
22 May
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Usesrcmnd.app
Claude CodeTheir words
It's just tabs for my sites, all on a VPS, synced with my iPhone via @TermiusHQ (unaffiliated) and usually with Claude Code open to fix or build new things
21 May
From one piece Homo Agenticus 2 beliefs, in the piece's order there
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Their words
A pile of agents is not a company for the same reason a pile of smart people is not a company.
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Their words
Central planning is not a solution simply because agents are software, and do not fix the problem of local knowledge which lives near the work.
20 May
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Their words
I think the same kind of principle applies with agents in that they can talk to the compiler. It will tell them what to fix. So I guess this could be a case. We we'll see. But Rust could be a pretty promising candidate for to use for agents because they can get more feedback and it's just hard it's harder to to ship certain type of bugs or maybe impossible to have certain type of bugs.
19 May
18 May
From one piece Six levels of complexity in a Codex morning brief 2 beliefs, in the piece's order there
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korrents.com
A recurring AI workflow improves more through ongoing user feedback than by being fully specified upfront.Their words
This is why I like the thread version more than a generic scheduled report. The brief improves as you complain about it.
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korrents.com
AI agents should draft work on a person's behalf but never send or act as if they were that person.Their words
Level 5 teaches the trust boundary I actually care about: draft the work, do not impersonate me.
17 May
16 May
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Their words
As reasoning models and agent workflows keep more tokens around (for longer), KV-cache size, memory traffic, and attention cost quickly become the main constraints, and LLM developers are adding a growing number of architecture tricks to reduce those costs.
15 May
14 May
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Dislikedrcmnd.app
Gemini (Mac app)Their words
I will now, needless to say, delete the Gemini app, and don't intend to ever install it again.
13 May
From one piece Why Anthropic’s ultra-dirty deal shouldn’t surprise you at all 3 beliefs, in the piece's order there
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Their words
there is nothing fundamentally inherent to the concept of a building full of computers that causes choking air pollution, water impacts and climate change.
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Their words
It was already clear a while ago that Anthropic mostly do not care about climate, environment or air pollution in any material way, even if they care a little bit more about bad PR than Elon Musk does.
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Their words
The fundamental drivers of this change are panic and impatience, and that is what is behind the worst impacts of data centre growth, including a material risk to decarbonisation and climate action.
From one piece 🌻 notes on AI, labor, and China 2 beliefs, in the piece's order there
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korrents.com
AI marketed as a pure augmenting 'tool' will end up automating jobs anyway, since firms control how it's used.Their words
Unfortunately, I think building "tool AI" is basically cope.
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korrents.com
Whether AI augments or automates workers depends on a firm's economic context, not on the technology itself.Their words
The same technology that augments workers in a growing firm automates workers in a shrinking one.
From one piece TypeScript, C# and Turbo Pascal with Anders Hejlsberg 5 beliefs, in the piece's order there
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Their words
In a sense, we're all turning into project managers, right? And and we can have an army of junior programmers called agents that will just spit out reams of code, but someone's got to have the big picture and review all of that. And so, increasingly our craft is going from one of writing the code to one of of reviewing the code and and building the architecture of the code and overseeing the work, if if you will.
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Their words
And ultimately also, you know, the responsibility for a program does not lie with the AI. It lies with the programmer.
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Their words
but but if you have good locality where you you clearly stating what you're importing and whatever and and you can analyze just a single source file and from that extract its protocol to the outside world without having to to know anything deeper. Do you do you know what I mean? I think those are important aspects just simply to reduce the size of the of the of the context window and also make it easier to summarize each module in a program, right?
+ 2 more
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Their words
AI today it's just starting to to become aware of you know the existence of of of language services and agents today like to use grep and awk and whatever you know to to find all the places where you reference a certain thing but it's not semantic search, right?
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Their words
because if you were to force AI to write a type annotation on everything, then it would probably get it wrong more often because now it has to keep track of all these types and and it and it has to just repeat itself over and over and over, right? And so, types are important where there's no context.
12 May
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Likedrcmnd.app
ClaudeTheir words
But Claude isn’t just a replacement-level SwiftUI developer. Claude is actually good.
11 May
10 May
From one piece Codex-maxxing 2 beliefs, in the piece's order there
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Their words
Files force the agent to compress experience into a form that can survive the thread.
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Their words
Execution is only as good as the goal and the verification you give it. Ambition without verification is just a wish.
From one piece How Anthropic, Costco, and Patagonia all build incorruptible companies | Eric Ries 5 beliefs, in the piece's order there
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Their words
If you say that shareholders should run it, then you're saying literally whoever can borrow the most money should be able to control this technology, it's just that's nuts.
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Their words
corporations, organizations are the oldest form of artificial intelligence on the planet. They are an example of this emergent intelligence.
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Their words
I think the structure frankly is better than founder control. Daio does not have dual class shares the way that Mark Zuckerberg or or Larry and Sergey had.
+ 2 more
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Their words
This is the number one unsolved problem in AI. It's not the tech. We're making great progress on the technical alignment problem. But we haven't made jack progress on the human alignment problem
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Their words
I looked down the panel and I realized not a single one of these companies has standard governance. That's how bad it is.
9 May
8 May
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Their words
At even $500/kg, launch cost is only 5% of the total satellite deployment cost, so a lunar mass driver is unlikely to drastically improve the economics of space-based AI, by reducing launch costs.
7 May
From one piece The agent principal-agent problem 3 beliefs, in the piece's order there
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Their words
there is no principal-agent problem, because the human driving the machine takes on the responsibility for its actions by owning the deployment.
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Their words
the reviewer is the principal, the contributor is the agent, and code review only worked because the reviewer could cheaply infer effort from reading the code. Agents collapse that signal.
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Their words
There is no incentive for the human driving the agent to actually read the code or spend time thinking about what the reviewer says.
6 May
5 May
4 May
3 May
From one piece Reflections on AI-assisted Programming 2 beliefs, in the piece's order there
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korrents.com
AI coding assistants are leveling the skill gap between software developers who can afford to use them.Their words
Skill-wise, most software developers, as long as they are willing/able to pay for AI assistants, are on the same page now.
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Their words
We owe a debt, not to companies like Anthropic, OpenAI, or Google, but to the authors of the free public raw materials that were used to train AI.
From one piece How to Work and Compound with AI 3 beliefs, in the piece's order there
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Their words
The bottleneck has shifted from doing the work to writing clear specs and reviewing outputs fast enough to keep the pipeline moving-the middle is hollowing out.
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Their words
none of this is specific to AI. It's simply how you onboard and work with any new collaborator.
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Their words
You can't delegate what you can't verify, so this requires first defining success criteria and metrics.
2 May
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Their words
This post is about whether data centers waste the land they’re on relative to what they compete with, and my claim is that they mostly don’t compete with things we need more of (housing) and mostly compete with things we need less of (farmland).
1 May
From one piece The exact wrong lesson to learn from data centre infrasound fears 2 beliefs, in the piece's order there
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korrents.com
AI data centres cannot be meaningfully reformed without a fundamental change of course and ideology in the industry.Their words
Reformation is impossible for AI data centres, at least, not without a massive change of course and an ideological reckoning.
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korrents.com
Data centres are being built in such number, size and speed that the industry cannot realistically be reformed.Their words
There are simply too many data centres being built, and they're too big, being built too fast.
30 April
29 April
28 April
27 April
From one piece A (shorter) Three Horizons Framework for Government Reform 2 beliefs, in the piece's order there
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korrents.com
AI is raising the baseline of what counts as acceptable public service, not just disrupting government from outside.Their words
AI is not only an exogenous shock that government will have to absorb. It is also moving the bar on what counts as acceptable service in the first place.
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Their words
The forty-page PDF used to feel intolerable. The well-designed web form will start to feel that way too, and faster than the last transition did.
26 April
From one piece How to win when software is not a moat | Evan Spiegel (Snapchat CEO) 3 beliefs, in the piece's order there
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Their words
I think technology leaders think that folks will just blindly adopt uh new technology as it comes out and I think we're going to enter a period of time where there's going to be a huge amount of societal pushback on a lot of the changes that are coming uh with AI.
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korrents.com
Software is not a moat, and the AI industry is only now discovering what Snap learned fifteen years ago.Their words
15 years ago we essentially learned that software is not a moat, right? Which is something that everyone is discovering today with AI, right?
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Their words
by listing out all these jobs to be done, you know, really for the for the community journey and for advertisers as well, it became very clear where we could use agents, where we needed to be very focused in terms of building cross-functional teams around those jobs supported by AI tools.
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korrents.com
AI coding assistance now lets a programmer complete in a day work that used to take weeks.Their words
Though now that I can accomplish ~3 weeks of old-way work in a new-way day, this sort of project becomes that much easier to start and finish.
25 April
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korrents.com
How easily an AI agent navigates a UI is objective evidence of how well- or poorly-designed that UI is.Their words
the AI breezes through the GitHub UI, but struggles through the Azure portal - objective evidence of how awful it is.
24 April
23 April
22 April
From one piece Designing Data-intensive Applications with Martin Kleppmann 3 beliefs, in the piece's order there
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Their words
One is that the LLMs are getting increasingly good at writing these proofs. And if we don't have to write the proof by hand as humans, it just becomes feasible to do them in situations where previously it would have not been economical.
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korrents.com
AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.Their words
But also LLMs increase the need for these formal proofs because, you know, we're live coding a bunch of stuff. If we have to manually review all of that code, then that will become the bottleneck.
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Their words
Maybe as AI writes more and more code of our code, it's less about like the details of how you express logic in a particular programming language and much more about those kinds of high-level trade-offs.
20 April
19 April
18 April
16 April
15 April
From one piece Jensen Huang – Will Nvidia’s moat persist? 5 beliefs, in the piece's order there
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Their words
And so none of that my point is that none of the bottlenecks last longer than a couple 2 three years. None of them.
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korrents.com
AI will not commoditise software tools; it will multiply them, because every new agent is another tool user.Their words
I actually see the opposite of what people see I think the number of agents are going to grow exponentially. The number of tool users are going to grow exponentially and it's very likely that the number of instances of all these tools are going to skyrocket.
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Their words
We have got to acknowledge that most of the advanc advances in AI came out of algorithm advances not just the raw hardware. Now if most advances came from algorithms and computer science and programming tell me that their army of AI researchers is not their fundamental advantage.
+ 2 more
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Their words
anthropic is is an is a unique instance um and not a trend. Uh without an anthropic, why would there be any TPU growth at all? It's 100% anthropic. Without anthropic, why would there be any tranium growth at all? It's 100% anthropic.
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Their words
Nvidia's computing stack is the best performance per TCO in the world, bar none. Nobody can demonstrate to me that any single platform in the world today has better performance TCO ratio. Not one company.
14 April
13 April
12 April
11 April
10 April
9 April
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Their words
TLDR the people in these two groups are speaking past each other.
-
Likedrcmnd.app
OpenAI CodexTheir words
these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
8 April
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Their words, before
I love chiseling my code and the way I use AI is in a separate window. I don't let it drive my code. I've tried that. I've tried the cursors and the wind surfaces and I don't enjoy that way of writing. And one of the reasons I don't enjoy that way of writing is I can literally feel competence draining out of my fingers.
Their words now
I will now start any project I'm starting with. I'm starting agent first and that's a massive shift
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Their words, before
Where I get fired up, and this ties back to the AI discussion, is when that's turned into this meme, that programmers no longer have to be competent. I mean the AI is gonna figure it out. The generators is gonna figure it out. I don't need to know SQL, active record is gonna abstract it away from me. No, no, no dude, hold up. The path here is competence.
Their words now
really good programmers are currently more valuable than ever because they're the ones who are able to get the most out of the AI acceleration.
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Their words, before
The joy of a programmer, of me as a programmer, is to type the code myself. If I elevate myself, if I promote myself out of programming, I turn myself into a project manager. A project manager of a murder of AI crows as I wrote the other day.
Their words now
I have been hyper accelerated as a programmer. It's a different kind of programmer, but it still has the same affinity to aesthetics, at least when I'm producing Ruby code.
7 April
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Their words
So certainly one thing that a lot of them seem to be bottlenecked on is now having interesting ideas and in particular having interesting design ideas.
From one piece Martin Fowler & Kent Beck: Frameworks for reinventing software, again and again 5 beliefs, in the piece's order there
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Their words
Well, nothing has hit with the magnitude of AI. That's I mean, this is a a whole size difference from anything that we've faced before.
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Their words
Um I think another similarity is I mean, the core notions uh behind Agile and extreme programming are solid and good, but a huge snake oil industry appeared around it, the Agile industrial complex as I like to refer to it. Um and that will happen. That is happening with AI right now, and it's often hard to see the difference between where is the snake oil and where is the real stuff.
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Their words
but the thing about AI is that, you know, all of many of these things we were talking about how important they were and how valuable were and trying to persuade people of the importance of them. Yes, even the internet. That may sound surprising, but there were people who would weren't thinking that was important. Um but AI, there's kind of no argument about how important it is. People can't can I mean, you cannot put blinkers on to deny the importance of this thing.
+ 2 more
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Their words
one of the things that I took from that was to use this tool well, you have to learn how to use it well, which was also something very true of object orientation.
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korrents.com
Large-scale confusion and panic is the order of the day at companies adopting AI, right across the board.Their words
Um at the moment large-scale confusion and panic is pretty much the order of the day right across the board.
From one piece Should Designers "Code"? 2 beliefs · lukew.com
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Their words
There's a question that never goes away in design: should designers code? My answer has always been yes. But for a decade or so, the complexity of front-end development made it impractical for most. Thankfully, AI coding agents have reopened the door.
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Their words
For years, it was faster to mock up software than to ship it. Designers stayed "ahead" of engineering with prototypes. Now AI coding agents make development so much faster that the loop has flipped.
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Their words
Yeah, AI is an amplifier. And if uh if you're young and learning quickly, AI is going to amplify that or can amplify that. So, I I personally think this is this is the golden age of the junior programmer.
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korrents.com
Formalizing math is a translation task, so AI will boost top mathematicians' productivity more than top writers'.Their words
I expect AI to increase productivity of top mathematicians much more than that of top writers, because formalization is a kind of translation task, it doesn't require much judgement, and as long as it compiles noone needs to read the result.
0058: borrow-checking surprises, books, linksscattered-thoughts.net
From one piece dcmake: a new CMake debugger UI 2 beliefs, in the piece's order there
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korrents.com
Frontier AI models still cannot handle certain deep technical implementation details without human guidanceTheir words
This took some special care, in particular avoiding any C++ standard library I/O functionality. Current frontier AI cannot handle this detail on their own.
-
korrents.com
AI tools are now highly effective at generating UI code from a rough natural-language descriptionTheir words
This is just one of many situations I've used AI the past month for UI development, and it's been shockingly effective.
6 April
From one piece The term “AGI” is almost useless at this point 2 beliefs, in the piece's order there
-
Their words
Today’s best AI systems are good enough that they’re now inside the fuzzy conceptual cloud of “AGI-ish”: that is, they’ve surpassed some people’s definitions of AGI, while falling well short of others’.
The term “AGI” is almost useless at this pointhelentoner.substack.com
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Their words
This makes it likely that there could be big gaps between when different definitions of AGI are fulfilled.
The term “AGI” is almost useless at this pointhelentoner.substack.com
5 April
4 April
-
Their words
Something I've been thinking about - I am bullish on people (empowered by AI) increasing the visibility, legibility and accountability of their governments.
3 April
From one piece The Increasing Risk of Building in Public 3 beliefs, in the piece's order there
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korrents.com
Deep, relationship-based customer moats remain something AI coding tools cannot replicate for a competitor.Their words
No agentic coding tool is going to replicate that for your competitor.
The Increasing Risk of Building in Publicthebootstrappedfounder.com
-
Their words
But here's what I know for certain: product isn't a moat. Software engineering capability isn't a moat. Not anymore.
The Increasing Risk of Building in Publicthebootstrappedfounder.com
-
Their words
the likelihood of inspiring someone to build a competitor was too high, and the return on sharing was too low to justify the exposure. That threshold has effectively collapsed to zero.
The Increasing Risk of Building in Publicthebootstrappedfounder.com
-
Their words
A very useful book about the history of proving math theorems by computer.
2 April
-
Dislikedrcmnd.app
Local Deep ResearchTheir words
Its responses are, in my view, pretty bland and not very high-quality. I did a side-by-side test of asking Local Deep Research a question, then asking pi the same question (telling it to use searxng to make as many internet searches as needed), and I fed both outputs into an LLM to ask which is better.
-
Dislikedrcmnd.app
NVIDIA DGX SparkTheir words
I was not impressed with the DGX Spark; it's described as an "AI supercomputer on your desk" but in reality it has lower tokens/sec than a good laptop GPU - and on top of that, you have to figure out the networking details of how to connect to it from your actual work device etc.
-
Usesrcmnd.app
BubblewrapTheir words
Sandboxing To keep my LLMs in check, I do most of my LLM usage from inside of a sandbox. I use bubblewrap for this.
1 April
From one piece Scaling Uber with Thuan Pham (Uber's first CTO) 5 beliefs, in the piece's order there
-
Their words
There may be a lot of AI things that's going on right now, right? Uh eventually some of these things will consolidate, some will go under, some will become really awesome solutions and all that stuff. And so, but the the market will sort it out.
-
Their words
we have a very clear definition and expectation of what it is at the staff engineer level because we benchmark ourselves to all the great company out there Google, Facebook and all that
-
Their words
it required a different way of thinking and the cognitive load might be a little higher but the output is dramatic and we have seen our best engineer double their output.
+ 2 more
-
Their words
the best of the best still get offer from us because if we don't hire those folks today, what senior engineer will we have for yeah years from now, right? You have to feed the talent pipeline
-
Their words
we're trying to crack the next frontier which is how we get that level of productivity increase and output building new features on top of a code base that are older,
31 March
30 March
29 March
-
Their words
There's a huge, growing gap between open weight models and the frontier. Models you can run yourself are toys.
From one piece Chip Huyen: Building when it feels like there's nothing left to build - The Pragmatic Summit 5 beliefs, in the piece's order there
-
Their words
And the more you build, right? The more you put things out there, you remove the need for imagination. You can say, "Okay, now I like that website. Do that for me."
-
Their words
if you can describe a style, AI can generate it. And the same with software. If you can describe a software, then AI can build it for you.
-
Their words
But in Vietnam and also in a lot of other Asian countries, people are on the move all the time. Like people are on the motorbike all the time. So, they actually really don't like typing. So, the voice like a lot of the companies in Vietnam actually deploy voice bots before they do uh do chatbot.
+ 2 more
-
Their words
So, I think that the whole workflow of like reviewing code is very outdated. Like, I don't think the I think that the senior member, instead of like giving feedback on the code, they should be giving feedback on like how you give instruction to AI to produce better.
-
korrents.com
The problems worth a small builder's time are the ones too small for a big AI company to be motivated to solve.Their words
Like if it's a big problem, like everyone can see, then all these big companies will get into it. But whereas it's like there are a lot of problems that's like smaller, then maybe OpenAI won't be motivated to solve it, but maybe I can like all a lot of people can.
28 March
-
Their words
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
27 March
From one piece Endgame for the Open Web 2 beliefs, in the piece's order there
-
Their words
The deal was always simple: search engines had permission to crawl sites because they were going to be sending users to those sites. If they're hitting your site half a million times for every one user they send to your site, all they're giving you is higher costs.
-
korrents.com
The web is being flooded with coherent, generic, generated text that buries the writing worth reading.Their words
As publishers see the danger from AI bots expand, they retreat to putting more and more content behind either password protection or payment walls or both, leaving the only publicly-accessible content to be AI-generated slop; open resources like research work, scientific analysis, and fair use of content all suffer as a result of people responding to the bad actors, since legitimate uses of open content are no longer possible.
26 March
From one piece Model capabilities and four minute mile 2 beliefs, in the piece's order there
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Their words
frontier model capabilities are always so clustered together as opposed to any one model having an unassailable edge.
-
Their words
This is not the case with many other technology driven industries where capability or advancements often tend to be longer held and a fast-follow model is harder.
-
korrents.com
AI companies promote themselves around 'taste' because their products are unappealing outside tech circles.Their words
A.I. companies need to associate themselves with taste precisely because their tools are not very palatable, much less cool, to anyone outside of Silicon Valley.
Why tech bros are obsessed with "taste"kylechayka.substack.com
25 March
-
Their words
You can give it a Bash tool so it can ripgrep its way through the codebase. You can give it some queryable codebase index, an LSP server, a vector database. In the end it doesn't matter much. The bigger the codebase, the lower the recall. Low recall means that your agent will, in fact, not find all the code it needs to do a good job.
-
Their words
One common issue with personalization in all LLMs is how distracting memory seems to be for the models. A single question from 2 months ago about some topic can keep coming up as some kind of a deep interest of mine with undue mentions in perpetuity.
23 March
22 March
From one piece Nicole Forsgren: Leading high-performing engineering teams in the age of AI - The Pragmatic Summit 5 beliefs, in the piece's order there
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korrents.com
Release management is human group sense-making, and it does not scale to the volume of change AI now produces.Their words
so many times that process has been managed by humans because you're selecting the right candidate build and you're verifying it and you're thinking, you know, you're figuring out cherry picks and then you like rebundle and then you send it out and that doesn't scale if you have one or two or a handful of people trying to make group decisions and do group sense making.
-
Their words
And so, like in the immediate term, yeah, we were getting more out, but now our systems, whether technology systems or human systems or processes, are really kind of getting overwhelmed.
-
Their words
And so, um I'm seeing across at least a handful of companies that explicit exec sponsorship makes a huge difference in not just using them, but trying new things and feeling safe to fail within, you know, kind of guardrails.
+ 2 more
-
Their words
We may have a handful of genies, but that's different from having a handful of friends, right? In part because the energy's different, the conversations are different. Also, they just agree with us constantly.
-
korrents.com
Working too hard is not burnout, it is tiredness; burnout needs your values to be out of alignment with the work.Their words
It's working too hard, right? But that actually isn't burnout. That's just like getting tired. Another piece that's super critical to burnout is not having your values aligned.
21 March
20 March
From one piece Terence Tao – How the world’s top mathematician uses AI 5 beliefs, in the piece's order there
-
Their words
Uh but whenever we do a systematic study, um any given problem, an AI tool has a success rate of maybe 1 or 2%. Uh it's just that it's just that they can apply at scale and and you just pick the winners, it looks great.
-
Their words
um you know, these tools they either succeed or they fail um and they they've been really bad at creating sort of partial progress or identifying intermediate um um stages that you should you should focus on first.
-
Their words
Um but now it's quite possible at the high school level or or whatever that that you could get involved in math project and actually make a real contribution because of all these AI tools and and and Lean and everything else.
+ 2 more
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Their words
Yeah, so they excel at breadth and humans excel at depth. Um like human experts at least. Yeah, so um I think they're very complementary. Um but our current uh way of doing math and science is focused on depth because that that's where the human uh expertise cuz humans can't do breadth.
-
Their words
I mean, I I I I do believe that that hybrid um human plus AIs will will dominate mathematics for a lot longer. It it's It will depend It will require some additional breakthroughs uh beyond what we already have.
From one piece AI Liability: The Landmines Under Your SaaS 2 beliefs, in the piece's order there
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korrents.com
A business, not its AI vendor, bears legal responsibility when an integrated AI tool causes harm to a customer.Their words
If you have a customer chatbot and it causes damage, it's not the chatbot company that's responsible. It's you.
AI Liability: The Landmines Under Your SaaSthebootstrappedfounder.com
-
korrents.com
The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself.Their words
The competitive moat for a business right now is not the use of AI. It's human-originating, high-quality, high-fidelity data that other systems can't replicate - even if they implement the exact same features and are built by the same agentic systems.
AI Liability: The Landmines Under Your SaaSthebootstrappedfounder.com
-
Their words
a swarm of agents on the internet could collaborate to improve LLMs and could potentially even like run circles around frontier labs. Like who knows, you know? Um yeah, like maybe that's even possible. Like frontier labs have a huge amount of trusted compute but the earth is much bigger and has huge amount of untrusted compute.
19 March
From one piece Simon Willison: Engineering practices that make coding agents work - The Pragmatic Summit 5 beliefs, in the piece's order there
-
Their words
Why would I use a date picker library where I'd have to customize it when I could have Claude write me the exact date picker that I want.
-
Their words
OpenAI and Anthropic have both realized that code is the most important thing to optimize the models for, cuz that's where the money is. Like coders will spend $200 a month on a plan if it's good enough, it turns out.
-
Their words
I think I see people who are writing code with coding agents and they're not writing any tests at all. That's a terrible idea.
+ 2 more
-
Their words
Problem is, you can solve SQL injection by parameterizing your queries. You can't do that with LLMs.
-
Their words
I think that might be what saves us. I think the fact that no, you can't have one engineer and have him do a thousand projects because after three hours of that he's going to literally pass out in a corner.
18 March
15 March
14 March
-
Their words
LLMs make it easy for anyone to add new features to the product. Even before AI, teams were battling feature creep, where the product becomes increasingly complex, bloated, and cluttered.
13 March
From one piece Dylan Patel — The single biggest bottleneck to scaling AI compute 5 beliefs, in the piece's order there
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korrents.com
Anthropic saw the coming shortage of chips before Google did, and bought Google's own TPUs out from under it.Their words
Because Enthropic saw it before Google. And then Google had Nano Banano and Gemini 3 which caused their user metrics to skyrocket and leadership at Google was like oh and then they started making the statement of we have to double compute every is it 6 months or I don't remember the exact number that they said.
-
korrents.com
You do not have to believe in AGI to believe in the timelines on which the United States wins the semiconductor race.Their words
But I don't know like I don't know what fast timelines means, right? Like I I like don't think you have to believe in AGI to have the timelines where the US wins.
-
korrents.com
Getting a data centre permitted in the empty middle of America is far easier than putting one in orbit.Their words
And so I think people are figuring out how to build these things and permitting like I I just like ultimately like permitting and red tape in middle of nowhere Texas or middle of nowhere Wyoming or middle of nowhere like New Mexico is probably a hell of a lot easier than sending stuff into space
+ 2 more
-
Their words
So, space data centers effectively are not li limited by, you know, hey, we have this energy advantage. It's actually just limited by the same contended resource. We can only make 200 gawatts of chips a year by the end of the decade.
-
Their words
So when you look at inference at let's say 100 tokens a second for deepseek and kimk 2.5 hopper versus blackwell the performance difference is on the order of 20x
12 March
-
Their words
Everybody thinks our schools are in crisis all the time because they’re being forced to do something they were never meant to do, which is to make everyone college-ready, and they’re being forced to do that because we have seen jobs that provide a living wage without a college diploma evaporate.
11 March
From one piece From IDEs to AI Agents with Steve Yegge 5 beliefs, in the piece's order there
-
Their words
If you're a monolith, you're kind of hosed because I told you the ceiling's going up for what they can do, but it ain't ever going to hit your monolith. They will never fit in the context window and you're never going to be able to never in the next 18 months be able to tell a model go fix my monolith. You have to break it up.
-
korrents.com
Google has produced no innovation since 2008; everything it has shipped since has been acquisitions.Their words
In fact, innovation died on the vine like all together and since I don't know, 2008, there has been no innovation from Google. It's all been acquisitions. They have they've created nothing new.
-
Their words
But right now I think it's sitting somewhere between half million and five million lines of code, somewhere in there. Probably more on the half million side right now and with the next drop of an Anthropic model, we're probably going to see it jump up to a few million lines.
+ 2 more
-
Their words
So I think we're in a weird limbo for the rest of this year okay where until the UIs arrive that are good enough for everybody who can't read everybody who can't read is going to be a severe disadvantage.
-
korrents.com
AI has a vampiric effect on the people using it: it excites them into working past their own ragged edge.Their words
There's a vampiric effect happening with AI where it gets you excited and you work really really hard and you're capturing a ton of value. For me, I'm doing it all for myself and it's still kind of like pushing me to my ragged edge.
From one piece Jeff Kaplan: World of Warcraft, Overwatch, Blizzard, and Future of Gaming | Lex Fridman Podcast #493 2 beliefs, in the piece's order there
-
Their words
The problem with AI right now is it’s overconfident in what it tries to deliver.
-
korrents.com
No creative work should ever be used by AI without its maker's permission; doing it is no different from stealing.Their words
I think there’s a lot of moral concerns around AI when it comes to creative pursuits as well, like no one’s creative work should ever be used by AI without their permission.
10 March
-
Usesaffiliate linkrcmnd.app
Wispr FlowTheir words
Wispr Flow - Voice to text (AI)
9 March
8 March
5 March
4 March
-
korrents.com
AI-driven skill compression will be disruptive to software team culture in the short term.Their words
In the short term, this is going to be incredibly disruptive for team culture.
3 March
2 March
28 February
From one piece A response to Dario Amodei on AI & clinical trials 2 beliefs, in the piece's order there
-
Their words
But remember that such data can only come from trials in people (mice are nice, but most animal results simply do not translate.)
-
Their words
Even if AI can help design more effective drugs, timelines will not compress until we solve the operational and regulatory bottlenecks of trials.
27 February
25 February
24 February
23 February
22 February
From one piece We're in Triage Mode for AI Policy 2 beliefs, in the piece's order there
-
Their words
We need to accept that at best, we will just barely avoid some of the worst case scenarios (e.g., an AI-enabled biological weapon that kills billions, a rogue AI takeover, or stable global totalitarianism enabled by AI), given the current pace of AI capabilities relative to the pace of governance.
We're in Triage Mode for AI Policymilesbrundage.substack.com
-
korrents.com
Third-party frontier AI auditing is urgently needed and would help prevent extreme concentration of power.Their words
I think frontier AI auditing (covering both safety and security) is both urgently needed and doable, and can help avoid extreme concentration of power, since it introduces external oversight into the decision-making of people with a "country of geniuses in a datacenter" at their disposal.
We're in Triage Mode for AI Policymilesbrundage.substack.com
19 February
18 February
From one piece Empiricists vs. Extrapolators 2 beliefs, in the piece's order there
-
Their words
Forecasting AI capabilities is closer in kind to solving a thermodynamics equation than solving the three-body problem.
-
Their words
Extrapolators have a remarkable track record in the AI field, being repeatedly early to trends and capabilities that empiricists believed were still decades away.
17 February
-
Their words
Both estimates make me think that the concern about global energy demand for LLMs is over-blown.
16 February
14 February
-
Their words
Yes, I could totally see how OpenClaw could become a huge company. And no, it’s not really exciting for me. I’m a builder at heart. I did the whole creating-a-company game already, poured 13 years of my life into it and learned a lot. What I want is to change the world, not build a large company and teaming up with OpenAI is the fastest way to bring this to everyone.
13 February
From one piece Dario Amodei — “We are near the end of the exponential” 3 beliefs, in the piece's order there
-
Their words
But but that's actually a very weak criterion, right? People thought I was saying like we won't need 90% of the software engineers. Those things are worlds apart, right?
-
Their words
My one little bit, the one little bit of of fundamental uncertainty even on long time scales is this thing about tasks that aren't verifiable. Like, planning a mission to Mars, like, uh you know, doing some fundamental scientific discovery like like CRISPR, like, you know, writing a writing a novel. Hard to hard to verify those tasks.
-
Their words
on the basic hypothesis of you know, as you put it, within 10 years we'll get to, you know, you know, what I call kind of country of geniuses in a data center. I'm at like 90% on that. Um and it's hard to go much higher than 90% cuz the world is so unpredictable.
12 February
From one piece OpenClaw: The Viral AI Agent that Broke the Internet - Peter Steinberger | Lex Fridman Podcast #491 4 beliefs, in the piece's order there
-
Their words
I- I can relate that if you very deeply identify that you are a programmer, that it's scary and that it's threatening because what you like and what you're really good at is now being done by a soulless or not entity. But I don't think you're just a programmer. That's a very limiting view of your craft. You are, you are still a builder.
-
Their words
So, I feel we, as a society, we need some catching up to do in terms of understanding that AI is incredibly powerful, but it's not always right. It's not, it's not all-powerful, you know?
-
Their words
and not in 2030 when, when AI is actually at the level where it could be scary. So, this happening now and people starting discussion, maybe there's even something good that comes out of it.
+ 1 more
-
Their words
So, I, I completely moved away from that. I, I, everything, everything I blog is organic, handwritten and maybe, maybe I, I, I use AI as a fix my worse typos. But there's value in the rough parts of an actual human.
From one piece OpenClaw: The Viral AI Agent that Broke the Internet - Peter Steinberger | Lex Fridman Podcast #491 3 beliefs, in the piece's order there
-
korrents.com
Being an excellent programmer is a burden rather than an advantage when learning to work with coding agents.Their words
It’s actually how good they are at programming is almost a burden in their ability to empathize with the system that’s starting from scratch. It’s a totally new paradigm of, like, how to program. You really, really have to empathize.
-
korrents.com
Most of the alarming MoltBook screenshots were humans prompting the bots to go viral, not autonomous AI behaviour.Their words
my criticism of MoltBook is that I believe a lot of the stuff that was screenshotted is human prompted. Which, just look at the incentive of how the whole thing was used. It’s obvious to me at least that a lot of it was humans prompting the thing so they can then screenshot it and post it on X in order to go viral.
-
Their words
there’s like a line to walk between being seriously concerned, but not fearmongering because fearmongering destroys the possibility of creating something special with a thing.
-
Their words
Long lead times and soft costs, fueled by the world-leading US wages for "white collar" work, are the root cause of poor performance in low-volume production because there are few units to spread the soft costs over.
-
Their words
We show that equilibrium generically occurs at neither the Harberger nor Glaeser-Luttmer benchmark. Cost-minimizing suppliers drive allocations to vertices, not interiors. Corners are not an assumption but an outcome about what cost-minimizing suppliers choose. The correct benchmark is corners, not random, and corners generate qualitatively different welfare properties: losses far larger than either efficient or random distributions, and discontinuous jumps from small parameter perturbations.
10 February
-
korrents.com
Manufacturing and mining in space will never be lucrative enough to pay for human settlement of space.Their words, before
Furthermore, I believe it’s very unlikely that space-based manufacturing or mining could be lucrative enough to fund the venture.
Their words now
Today, exploding demand for power-intensive AI applications provides enough of an upside to justify producing components in space, providing the economic engine necessary to justify and fund the trillions of dollars necessary to build and sustain space factories.
-
Their words
The economics of orbital “datacenters” or essentially glorified Starlink satellites with a bunch of GPUs attached are likely to be even better than Starlink.
Space AI: I guess we’re doing Moon factories nowcaseyhandmer.wordpress.com
9 February
From one piece Is the craft dead? 2 beliefs, in the piece's order there
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korrents.com
Craftsmanship, taste, and human judgment remain valuable in software development despite AI-assisted coding tools.Their words
There is value in good taste, there is value in craftsmanship, and there is value in human judgment.
-
Their words
I think that there will be lots of work for us cleaning up after the slop, but if you know what you're doing AI augmented development is going to get you some amazing results
8 February
From one piece Eight more months of agents 2 beliefs, in the piece's order there
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korrents.com
Local AI models will eventually catch up to frontier models once frontier progress hits diminishing returns.Their words
At some point frontier models will face diminishing returns, local models will catch up, and we will be done being beholden to frontier models.
-
korrents.com
The best software design for an AI agent to use is the same as the best design for a human programmer.Their words
the best software for an agent is whatever is best for a programmer.
7 February
6 February
From one piece Why I joined OpenAI 3 beliefs, in the piece's order there
-
Their words
I've realized that performance engineering as we know it may not be enough - I'm thinking of new engineering methods so that we can find bigger optimizations than we have before, and find them faster.
-
korrents.com
eBPF, Ftrace, and hardware performance counters are proven tools for finding datacenter performance wins.Their words
given those technologies are proven for finding datacenter performance wins, it seems likely
-
korrents.com
AI datacenter growth makes performance engineering critical for saving the planet, not just cutting costs.Their words
The staggering and fast-growing cost of AI datacenters is a call for performance engineering like no other in history; it's not just about saving costs - it's about saving the planet.
5 February
-
Their words
Immediately cease trying to perform meaningful work via a chatbot (e.g. ChatGPT, Gemini on the web, etc.). Chatbots have real value and are a daily part of my AI workflow, but their utility in coding is highly limited because you're mostly hoping they come up with the right results based on their prior training, and correcting them involves a human (you) to tell them they're wrong repeatedly.
-
Usesrcmnd.app
AmpTheir words
I particularly like to combine this with slower, more thoughtful models like Amp's deep mode (which is basically just GPT-5.2-Codex) which can take upwards of 30+ minutes to make small changes. The flip side of that is that it does tend to produce very good results.
-
Likedrcmnd.app
GeminiTheir words
The command palette that ships for macOS in Ghostty today is only very lightly modified from what Gemini produced for me in seconds.
4 February
From one piece The danger of glamourizing one shots 2 beliefs, in the piece's order there
-
Their words
People should not be judging AI-augmented coding by "1 shots."
-
Their words
As high-level programming cedes way to the prose compiler, making your goals and specs well understood to the ambiguity loop and showing good judgment is going to matter more than ever.
1 February
30 January
29 January
27 January
26 January
25 January
-
Their words
if you think about it, it sort of makes sense because the LLM is an averaging machine, right? It's predicting the most likely that's an averaging kind of a thing. And so when what you're looking for is a kind of average, it's usually pretty good. So, summarization, topics, themes. But when you're asking for like what is interesting and not average, it's actually pretty bad at it.
23 January
22 January
From one piece Alignment is not solved 4 beliefs, in the piece's order there
-
Their words
But the goal we need to achieve is so much easier: we just need to build a model that’s as good as us at alignment research, and that we trust more than ourselves to do this research well because it’s sufficiently aligned.
-
Their words
This is the hard problem of alignment we need to solve in order to succeed at building superintelligence, and to this day it is an unsolved problem.
-
Their words
In fact, making an evil version of Claude that’s just as smart and agentic would be pretty easy.
+ 1 more
-
korrents.com
Recursive self-improvement has already started, because AI research itself is now being automated.Their words
We are starting to automate AI research and the recursive self-improvement process has begun.
21 January
20 January
19 January
-
Their words
But with today's AI coding agents, building software is remarkably easy. So instead of handing over static assets and static guidelines, designers can deliver custom software. Tools that let clients create their own on-brand assets whenever they need them.
18 January
-
korrents.com
Careful step-by-step thinking is a property of the developer, not something a tool or framework can enforceTheir words
Notebooks don't force you to write clean code. AI tools don't force you to think carefully. Discipline comes from the developer, not the environment.
15 January
From one piece The Launch of AVERI 2 beliefs, in the piece's order there
-
Their words
In short, whether AI is a normal technology or an unusually dangerous one, it doesn't make sense for companies to check their own homework on safety and security.
-
Their words
Scrutiny applied to AI is way below other technologies that - even if you totally ignore the doomers - could put far fewer lives at risk than AI in a single incident.
10 January
8 January
7 January
-
Recommendsaffiliate linkrcmnd.app
Work Rules!Their words
Laszlo and his team at Google reinvented the role of human resources. This book is a terrific overview of what makes Google Google, from culture, to hiring, to making decisions.
-
Recommendsaffiliate linkrcmnd.app
Scaling People: Tactics for Management and Company BuildingTheir words
Claire has been a senior executive at Google and Stripe. Here she offers up a guide to leadership that is both practical and inspiring. Suitable for leaders of all levels.
-
Recommendsaffiliate linkrcmnd.app
In the Plex: How Google Thinks, Works, and Shapes Our LivesTheir words
Levy was given unprecedented access to Google, and the result is what I consider to be an accurate depiction of how the company operates. A good overview of how Google product managers work.
5 January
3 January
1 January
From one piece We replaced our sales team with 20 AI agents—here's what happened next | Jason Lemkin (SaaStr) 5 beliefs, in the piece's order there
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korrents.com
It is still early in AI go-to-market: the markets have not hardened and the good tools do not exist yet.Their words
We don't even have great AI marketing tools. We're really early on these AIS SDRs. The markets have not hardened.
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korrents.com
Recipients do not care whether a sales email was written by an AI, so there is no point disclosing or disguising it.Their words
And what we've learned is now we just send it. We We just send it and no one cares.
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Their words
AI is replacing the jobs people don't want to do today, and it is displacing the midpack and the mediocre.
+ 2 more
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Their words
you've got to promote someone internally. It's got to be a nerd, someone that likes marketing and sales and is quant.
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Their words
And so what ends up happening is the emails that the AI write are pretty good. Okay? If you're getting terrible emails, it's a poorly trained product from a bad vendor.
31 December 2025
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Lovedrcmnd.app
The Normalization of Deviance in AITheir words
One of my favourite pieces on LLM security this year is The Normalization of Deviance in AI by security researcher Johann Rehberger.
28 December 2025
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Lovedrcmnd.app
Claude OpusTheir words
I use it for most of my computer automation tasks and ofc it powers Clawd🦞.
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Likedrcmnd.app
GPT-5.2Their words
GPT 5.2 goes till end of August whereas Opus is stuck in mid-March - that’s about 5 months. Which is significant when you wanna use the latest available tools.
25 December 2025
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Their words
Even so, the flexible adaptable human will be working in manufacturing (alongside machines) for decades to come.
23 December 2025
22 December 2025
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Their words
A good overview of his work in labor economics.
19 December 2025
18 December 2025
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Their words
the UAE's tech aspirations are clearly downstream of a deeper affinity with the West.
17 December 2025
16 December 2025
13 December 2025
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Dislikedrcmnd.app
Google MapsTheir words
Google Maps essentially really doesn't work in China, the location of our hotel Aman in Beijing for example was completely wrong
12 December 2025
10 December 2025
9 December 2025
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korrents.com
People cannot choose without comparison, so an AI that hands over one perfect answer will not satisfy them.Their words
people don't decide like that at the very least you'll have to show them three or four or five skiing holidays from which they choose because we can't really choose in the absence of comparison.
From one piece Is It a Bubble? 4 beliefs, in the piece's order there
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Their words
Debt is neither a good thing nor a bad thing per se. Likewise, the use of leverage in the AI industry shouldn’t be applauded or feared.
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Their words
AI may not be a tool for mankind, but rather something of a replacement.
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Their words
If that enthusiasm doesn’t produce a bubble conforming to the historical pattern, that will be a first.
+ 1 more
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Their words
Given the vast potential of AI but also the large number of enormous unknowns, I think virtually no one can say for sure.
8 December 2025
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Their words
On the flip side, these captive solar power plants will be curtailing approximately 75% of their generated power and will be able to provide net power on all but a few days per year.
6 December 2025
5 December 2025
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Their words
ChatGPT, in particular, seemed to just want to validate me, tell me how great I was, reinforce any bad beliefs I might have had, and avoid saying anything uncomfortable.
4 December 2025
3 December 2025
From one piece Trillion Dollar Market Caps: Fairy Tale Pricing or Business Marvels? 2 beliefs, in the piece's order there
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korrents.com
The revenue growth and margins needed to justify Nvidia’s and OpenAI’s late-2025 pricing are improbable.Their words
I think that the pathway that you would need (in terms of revenue growth and profitability) to justify Nvidia's and OpenAI's current pricing is improbable, but that is just my view
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Their words
the delusion comes from the reality that if you aggregated these breakeven revenues across companies, the market is not big enough to sustain all of them
29 November 2025
28 November 2025
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Lovedaffiliate linkrcmnd.app
Happy Feet SocksTheir words
I've been using yoga toes daily for years, but these socks are a much comfier and cuter alternative for soothing feet, improving alignment, and feeling like a cool gecko as you walk around the house.
27 November 2025
From one piece On "AI Brendans" or "Virtual Brendans" 2 beliefs, in the piece's order there
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korrents.com
Widespread AI-driven performance tuning agents will meaningfully reduce global energy waste.Their words
In future there will be AI performance agents that can be run on everything, helping to save the planet by reducing energy usage.
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korrents.com
Relying on AI to replace performance engineers reduces an organization's overall technical expertise over time.Their words
If a company spends less on performance engineers as it's considered AI'd, it will reduce the company's effective "performance IQ."
26 November 2025
25 November 2025
From one piece Ilya Sutskever – We're moving from the age of scaling to the age of research 5 beliefs, in the piece's order there
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Their words
But I think the idea of very rapid economic growth for some time, I think it's very possible from broad deployment.
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Their words
I think what's going to happen is that the way competition like competition loves specialization and you see it in the market, you see it in evolution as well. So you're going to have lots of different niches and you're going to have lots of different companies who are occupying different niches
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Their words
one of the one of the ways in which my thinking has been changing is that I now place more importance on AI being deployed incrementally and in advance.
+ 2 more
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Their words
I maintain that in the end there will be a convergence of strategies. So I think there will be a convergence of strategies where at some point as AI becomes more powerful it's going to become more or less clearer to everyone what the strategy should be.
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Their words
Like basically I think I think that there is a big benefit from AI being in the public and that would be a reason for us to not be quite straight shot.
24 November 2025
23 November 2025
From one piece Product Evals in Three Simple Steps 2 beliefs, in the piece's order there
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Their words
The benchmark is human performance, not perfection. We sometimes get requirements for 90%+ accuracy.
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korrents.com
The main advantage of an LLM evaluator over human annotators is scalability, not higher accuracy.Their words
In my opinion, the true benefit isn't higher accuracy than human annotators-it's scalability.
22 November 2025
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Recommendsrcmnd.app
The Optimist: Sam Altman, OpenAI, and the Race to Invent the FutureTheir words
Keach Hagey, The Optimist: Sam Altman, OpenAI, and the Race to Invent the Future
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Recommendsrcmnd.app
The Scaling Era: An Oral History of AI, 2019-2025Their words
Dwarkesh Patel, and others, The Scaling Era: An Oral History of AI, 2019-2025
18 November 2025
From one piece Will AI Make Us Stupid? 3 beliefs, in the piece's order there
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korrents.com
Solving a problem yourself, without searching or prompting, is a form of exercise -- the help makes you weaker.Their words
Learning requires an investment of effort, and AI will make us stupider if that effort is avoided.
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korrents.com
AI translation will stop you learning to speak a language, exactly as AI summaries stop you understanding a book.Their words
Similarly, AI translation will prevent you from learning to speak another language, AI summaries will block you from really understanding the arguments laid out in a book, and AI analyses of your personal problems will make it harder for you to think through solutions to your own problems.
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Their words
Thus my personal prediction is that in domains that are already largely under the powers of modern AI, such as languages, programming or chess, we’re going to see a divergence in human abilities.
17 November 2025
13 November 2025
12 November 2025
From one piece Satya Nadella – How Microsoft thinks about AGI 5 beliefs, in the piece's order there
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Their words
there's no birthright here that we should have any confidence other than to say hey we should go innovate and knowing the the lucky break we have in some sense is that uh this category is going to be a lot bigger than anything we had high share in
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Their words
ultimately I think what matters is the use of AI in their economy to create economic value right I mean that's the uh the diffusion theory which is ultimately it's not the leading sector but it's the ability to use the leading technology to create your own comparative advantage right so that I think will fundamentally be the core driver
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Their words
So this AI thing will be that right. So if you take coding um what we built with GitHub and VS code in over whatever decades uh suddenly the coding assistant is that big in one year and so that I think is what's going to happen as well which is the market expands massively.
+ 2 more
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korrents.com
Coding is a software-factory category that may end up bigger than knowledge work itself.Their words
this fundamentally this category of coding and AI is probably going to be one of the biggest categories right it is a software factory category in fact it may be bigger than knowledge work
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korrents.com
AI is a tool and not something mystical: plenty of past technologies also took over things only humans had done.Their words
But that has been the case with many technologies in the past. only humans did a lot of things and then we add tools that did them.
9 November 2025
8 November 2025
6 November 2025
3 November 2025
2 November 2025
31 October 2025
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Their words
I also think that they’ve done the sort of first 90% of the work to sound human, 95% possibly in some areas. The last 5% is going to end up being about 95% of the work.
30 October 2025
27 October 2025
26 October 2025
23 October 2025
22 October 2025
21 October 2025
20 October 2025
From one piece Beyond the Machine 3 beliefs · frankchimero.com
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Their words
The fractures fell neatly along disciplines: engineers using AI to wish away designers, designers wishing away engineers, product managers wishing away both. In this climate, AI becomes frenemy identification technology, another way to avoid working together.
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Their words
You use a tool, but you play an instrument. It’s a more expansive way of doing, and the doing of it all is important, because that’s where you develop the instincts for excellence. There is no purpose to better machines if they do not also produce better humans.
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Their words
An average email or line of code is fine. Average art isn’t. To make something alive with AI, we have to resist its pull towards average by working beside it, shaping what it gives, and listening for what’s missing.
19 October 2025
17 October 2025
16 October 2025
From one piece Figma’s CEO: Why AI makes design, craft, and quality the new moat for startups | Dylan Field 5 beliefs, in the piece's order there
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Their words
the only thing that we know is that models will improve. Will it be incremental? Will it be exponential? I mean somewhere in between. Who knows? But uh what you have to believe is that you get better as models get better. Your organization gets better as models get better.
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Their words
Have we seen productivity increases? Yeah, mild to moderate, but like that is not something that has made our new headcount we want for engineering go down.
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Their words
it's easy to um go on vibes for too long. Uh some folks, you know, just kind of like trust the vibes and you know that'll get you somewhere, but it's not rigorous.
+ 2 more
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Their words
you can either see AI as an opportunity for your company to grow and do more or you can look at it as like cost cutting efficiency but I think the growth part is way more exciting.
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korrents.com
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.Their words
And AI won't get you there alone. AI is uh still in the realm of kind of law of averages and uh better prompting can help of course
15 October 2025
14 October 2025
11 October 2025
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Their words
This is intentional and I believe good AI drivers are experts in their domains and utilize AI as an assistant, not a replacement.
From one piece The AI water issue is fake 3 beliefs, in the piece's order there
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Their words
So AI consumes approximately 0.04% of America’s freshwater if you include onsite and offsite use, and only 0.008% if you include just the water in data centers.
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korrents.com
A data centre earns its county far more tax revenue per gallon of water than a golf course does.Their words
Data centers are so much more efficient with their water that they generate 50x as much tax revenue per unit of water used than golf courses in the county:
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Their words
It’s very common that I’m told that data centers poison the water around them.
10 October 2025
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inflationdata centersenergyAmerica
Their words
This is the first conclusion of my deep dive: Data centers have (so far) not affected national average household electricity bills.
8 October 2025
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Lovedrcmnd.app
GitHub CopilotTheir words
I cannot work anymore without it. AI pair programmer for code completion and suggestions.
7 October 2025
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korrents.com
As AI lowers the barrier to building software, personal taste becomes a more valuable differentiator.Their words
But along with the question of what you're willing to maintain, as the barriers to creation drop the value of taste will only increase.
5 October 2025
From one piece Finding hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com) 3 beliefs, in the piece's order there
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Their words
I would say though that something that is kind of annoying to me is that we haven't yet figured out the bridging from the tinkering to the workflow quite as seamlessly as I would like.
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Their words
You know, interestingly, LM themselves are quite bad at playing chess. Like, they hallucinate moves. They look at patterns, right? They're they're very good at pattern recognition, but not so good at going super super super deep on a specific chess thing.
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Their words
I saw some of the highest performers just being people that had very high agency, had that clock speed, had that energy. Um, yes, they they cared about the mission, but they didn't necessarily need to have deep experience on that matter. And in fact, sometimes that experience could be a crutch in certain ways. Especially in this world where the grounds are shifting so fast with AI, a lot of your like learn habits actually need to be intentionally discarded. You know, you need to have a beginner's mind on this type of stuff.
3 October 2025
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Lovedrcmnd.app
Mystery AI Hype Theater 3000Their words
And I love the podcast of the book’s authors Emily Bender and Alex Hanna, “Mystery AI Hype Theater 3000”
1 October 2025
30 September 2025
From one piece Pavel Durov: Telegram, Freedom, Censorship, Money, Power & Human Nature | Lex Fridman Podcast #482 2 beliefs, in the piece's order there
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korrents.com
Telegram has never shared a single private message with anyone, governments and intelligence services included.Their words
No, never. Telegram has never shared a single private message with anyone, including governments and intelligence services. If you try to access any server in any of the data center locations, it's all encrypted.
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Their words
So it's extremely important to curate the information sources that you have, so that you wouldn't be somebody who is left to the will of AI-based algorithmic feed telling you what's important so that you end up consuming the same information, the same stuff, the same memes, the same news as everybody else.
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Their words
This is a short (~150 pp), brisk first book on the topic for physicists. Most of the book --- the first ten chapters --- are good introduction to common models of spin glasses.
27 September 2025
26 September 2025
From one piece Richard Sutton – Father of RL thinks LLMs are a dead end 5 beliefs, in the piece's order there
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Their words
It's our choice whether we should say oh they are our offspring and we should be proud of them and we should celebrate their achievements or we should we could say oh no they're not us and we should be horrified.
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Their words
We don't we don't really know what information they had prior. We are we have to guess because they've been fed so much. This is one reason why they're not a good way to do science. Uh it's just so uncontrolled, so unknown.
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Their words
The scalable method is you learn from experience. Um you uh you you try things, you see what you see what works. No one no one has to tell you. First of all, you have a goal. So without a goal, uh there's no sense of right or wrong or better or worse. So large language models are trying to get by without having a goal or a sense of better or worse. That's just, you know, it's exactly starting in the wrong place.
+ 2 more
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Their words
A lot of it has to do with just how you feel about change. Um, and if you think the current situation is really really good, then you're uh more likely to be suspicious of change and averse to change than if you think um it's imperfect. And I think it's imperfect. In fact, I think it's pretty bad.
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Their words
reinforcement learning is about understanding your world whereas large language models are about mimicking people doing what people say you should do. They're not about figuring out what to do.
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korrents.com
Almost every major figure in AI has now arrived at the critique of large language models he began making in 2019.Their words
But one by one, almost every major thinker in AI has come around to the critique of LLMs that I began presenting in 2019.
25 September 2025
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Their words
applying AI to cyberdefense will help us defend against AI that is leveraged for cyberoffense.
23 September 2025
21 September 2025
From one piece From managing people to managing AI: The leadership skills everyone needs now | Julie Zhuo 5 beliefs, in the piece's order there
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Their words
used to be let's say in the Google world right I knew you were interested in shopping if you click the shopping tab I know you're interested in maps if you click the maps tab, we can measure clicks. Today, it's just all conversation. And so, it's actually harder for us to tease apart what is the user intent.
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Their words
You can shortcut like hard feelings because now you can just watch TikTok instead of actually dealing with the very difficult emotion or tension that you had with a colleague or with your partner or with your children.
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Their words
I think that managing change, it's always been manager's job to manage change and there's always the chaos of what's going on. I just think the rate of change is accelerating and we've seen that over the last couple of decades.
+ 2 more
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Their words
So yes, the tools are great. We can use cursor. It helps us. It autocompletes. It writes a bunch of things. But the acceleration of learning I think is another maybe underutilized tool in all of our arsenals
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Their words
but if I was, you know, at the zero or 10th percentile, it can certainly get me even today very quickly up to like the 60th 70th in terms of um what the state of the art is.
20 September 2025
18 September 2025
From one piece ACQ2: How to Live in Everyone Else's Future (with Shopify CEO Tobi Lütke) 2 beliefs, in the piece's order there
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Their words
I I sent a memo to my company like and we set the expectation that we require that people reflexively reach for AI now and and we require it because it's unfair not to because the people who do otherwise going to be the people who sequester all the best careers to themselves, right?
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Their words
I I like the term context engineering because I think the fundamental skill of using AI well is to be able to state a problem with enough context in such a way that without any additional piece of information, the task is plausibly solvable.
15 September 2025
14 September 2025
13 September 2025
12 September 2025
From one piece Fully autonomous robots are much closer than you think – Sergey Levine 4 beliefs, in the piece's order there
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Their words
uh common sense meaning the ability to make inferences about what might happen uh that are reasonable guesses but that do not require you to experience that mistake and learn and learn from it in advance that's tremendously important and that's something that we basically had no idea how to do uh about 5 years ago but now uh you we can actually use LLMs and VLMs ask them questions and they will make reasonable guesses
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Their words
But the reason why it's not the most important thing for the kind of skills that you saw when you visited us, it at some level I think it comes back to Moravik's paradox. So Morovik's paradox is basically that it's like you know if you know one thing about if you want to know one thing about robotics it's like that's that's the thing. Morovik's paradox says that basically uh in AI the easy things are hard and the hard things are easy.
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Their words
I think that it's optimistically that it's actually the other way around that the robotics uh element of the equation will make all the other stuff better. And there are two uh reasons for this that that I could tell you about. One has to do with representations and focus.
+ 1 more
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korrents.com
Better AI makes robots cheaper, because cheap visual feedback removes the need for expensive mechanical precision.Their words
So traditional robots and factories uh they need to make motions that are highly repeatable and therefore it requires a degree of precision and robustness that you don't need if you can use cheap visual feedback. So AI also makes robots more affordable uh and lowers the requirements on the hardware.
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Lovedrcmnd.app
Superagency: What Could Possibly Go Right with Our AI FutureTheir words
is spectacular and a must-read for every non-technologist about how to think about this “AI thing.”
-
Recommendsrcmnd.app
AI & ITheir words
If you want the short version, the recent AI & I podcast with Reid is an excellent way to get a feel for it.
11 September 2025
9 September 2025
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Their words
With Web forms, the burden is on people to adapt to databases. Today's AI models, however, can flip this requirement. That is, they allow people to provide information in whatever form they like and use AI do the work necessary to put that information into the right structure for a database.
8 September 2025
6 September 2025
5 September 2025
4 September 2025
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korrents.com
Local-first sync architectures are a natural fit for AI agents, since both are inherently multiplayer.Their words
Agentic and sync are natural complements because local-first is multiplayer by default, and agents are another sort of "player" in addition to human collaborators.
3 September 2025
2 September 2025
From one piece Why Everyone Is Wrong About AI (Including You) | Benedict Evans 5 beliefs, in the piece's order there
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Their words
I think regulation of AI is sort of the wrong level of abstraction. Talking about regulating AI as AI is the wrong level of abstraction. And it's like saying we're going to regulate databases or regulate spreadsheets or regulate cars. Well, we do, but not like that.
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korrents.com
Large language models have no network effect, and remembering a user is a switching cost rather than one.Their words
there's no apparent equivalent in LLM right now there's no reason why the LMS get better because more people use them now that may come you have that open AI and people have doing memory where it remembers what else you've asked, but that seems more like a switching cost than a network effect.
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Their words
It's like something around 10% give or take three or four percent of people depending on the survey are using this say they're using this every day. Another sort of 15 to 20% of people say they're using it every week.
+ 2 more
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Their words
Like it seems to me right now you could do like a double blind test of the same prompt given to Grock Claude Gemini um Mistral Deep Seek. Do a double blind test. I bet most people wouldn't be able to tell which is which.
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korrents.com
Incumbents have looked unbeatable at the start of every previous platform shift and have still lost.Their words
I'm pretty sure people thought Microsoft had an advantage on the internet and Google and um Meta had an advantage on mobile and everyone thought IBM was going to win PCs. Like once IBM made a PC, that was it. It's all over now. And we kind of forget that like there were PCs before and then IBM made one and that kind of became the standard but then IBM lost it.
31 August 2025
30 August 2025
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korrents.com
American data centres consume about 66 million gallons of water a day, a small fraction of what they withdraw.Their words, before
Taking this into account, actual water consumed by data centers is around 66 million gallons per day.
Their words now
So to wrap up, I misread the Berkeley Report and significantly underestimated US data center water consumption.
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Their words
However, the methods used to produce these estimates are debatable, and seem to have been chosen to give the maximum possible value for data center water consumption.
I Was Wrong About Data Center Water Consumptionconstruction-physics.com
28 August 2025
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Their words
It's also worth noting that chat isn't the only way to integrate AI in software products and increasingly agent-based applications outperform chat-only solutions. So expect things to keep changing.
21 August 2025
20 August 2025
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Their words
I think this slop-adjacent realm of dupe products and Instagrammable potions points to our increasingly desperate need to manipulate our own images, and an acceptance of the fact that we're kind of hybridized monsters ourselves in this post-A.I. human-machine moment
19 August 2025
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Their words
I'm now fairly pessimistic about ambitious interpretability (i.e. complete reverse-engineering), and I'm excited about model biology (studying qualitative high-level properties of models) and applied interpretability (rigorously doing useful things with interp).
18 August 2025
From one piece How is AI Different Than Other Technology Waves? (With Bret Taylor and Clay Bavor) [ACQ2] 5 beliefs, in the piece's order there
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korrents.com
AI agents can already resolve more than eighty per cent of a company's incoming customer issues.Their words
One of the first was we had a bet as to what percent of kind of all incoming customer issues one of our agents could resolve. And Brett was maybe the pessimist and realist favorably charitably. And I bet we'd exceed 80% by the end of the year and we did.
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Their words
so it's not a simple matter of programming it's not you know typing into a keyboard until or or I guess asking cursor to do something until a piece of software emerges, it's exploration, it's discovery, it's posing hypotheses and validating or invalidating those again and again and again.
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Their words
many of the breakthroughs that we've had that have enabled us to to deliver such quality and cost savings and more have come through novel agent architectures and and really going down a click or two in in the stack to innovate at at lower levels of the technology stack.
+ 2 more
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Their words
We can have a breakthrough in our agent architecture on Monday implemented on Tuesday and have it deployed with hundreds of our customers on Wednesday and directly see the impact of of that work.
-
Their words
And the reason this is important is what we're trying to do in a way is resolve this age-old tension between the cost and quality of customer experience where I think every great business wants to deliver an amazing experience to their customers. But unless you're like Hermes or the Four Seasons, it's too expensive to do.
From one piece How is AI Different Than Other Technology Waves? (With Bret Taylor and Clay Bavor) [ACQ2] 3 beliefs, in the piece's order there
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Their words
I don't think all parts of the economy can absorb intelligence equally. So let's just say we develop fairly generalized super intelligence. I always use the analogy like you can invent a lot of drugs, but if clinical trials still take a long time, you're not necessarily going to get new therapies rapidly.
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Their words
I mean I've heard from multiple investors that foundation models are the fastest deteriorating asset of all time. And so if step one of your business is to burn through tens of millions or hundreds of millions of dollars of capital before you find product market fit and that asset has value for like a a week, I'm not sure it's like a great business model.
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Their words
if it produces incorrect code our philosophy is don't fix the code fix the context that cursor had that produced the bad code
17 August 2025
15 August 2025
From one piece China is killing the US on energy. Does that mean they’ll win AGI? — Casey Handmer 2 beliefs, in the piece's order there
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Their words
actually it turns out that you can significantly decrease power consumption with a very small reduction in overall compute. So if you if you've got like three really bad days in a row or something, you can actually just like you can dial back your power usage quite a lot without compromising your inference or or um or training.
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Their words
But then all you need to connect that to the outside world is like an optical fiber, right? An optical fiber cable which you can string up on poles, you can run underground, you could even use microwave links if you really wanted to.
11 August 2025
9 August 2025
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Their words
People had grown to expect miracles, but GPT-5 is just the latest incremental advance.
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Their words
One of my favorite papers about prompt injection is Design Patterns for Securing LLM Agents against Prompt Injections
8 August 2025
6 August 2025
5 August 2025
3 August 2025
2 August 2025
From one piece What does AI progress mean for medical progress? 2 beliefs, in the piece's order there
From one piece AI will not suddenly lead to an Alzheimer's cure 2 beliefs, in the piece's order there
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Their words
Rapid AI progress does not automatically mean rapid medical progress. If the point of AI progress is human flourishing, we must make other complementary investments too.
What does AI progress mean for medical progress?blog.jacobtrefethen.com
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korrents.com
Not every bottleneck on medical progress is one AI can remove, and which ones will remain can be guessed at now.Their words
But I don’t think all bottlenecks on medical progress are equally AI-able in the next decade, and I don’t think all will become irrelevant.
What does AI progress mean for medical progress?blog.jacobtrefethen.com
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Their words
Going all in on AI is not the highest return-on-investment strategy if you care about human flourishing, even if AI might lead to rapid scientific advances.
AI will not suddenly lead to an Alzheimer's cureblog.jacobtrefethen.com
+ 2 more
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korrents.com
AI tools are already making scientists more productive and creative, and more discoveries should follow.Their words
AI tools are helping make scientists more productive and creative already, and more discoveries should follow.
AI could help lead to an Alzheimer's cureblog.jacobtrefethen.com
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Their words
Those are why I do not believe that AI could end disease within 10 years on its own, nor that 50-100 years of medical progress could occur 5-10 years after powerful AI due to AI progress alone
AI will not suddenly lead to an Alzheimer's cureblog.jacobtrefethen.com
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Usesrcmnd.app
MochiTheir words
I initially started making Anki (well, Mochi) cards to keep track of Google DeepMind's LLM lineage—Gopher, Chinchilla, Gato, PaLM, Sparrow, Meena, LaMDA, Bard, Gemini, etc.
30 July 2025
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Their words, before
This means that working on neural networks is NOT getting us closer to AGI, except indirectly.
Their words now
It’s become very difficult for me to maintain the belief in the stupidity of ChatGPT when every time I laugh at it, it ends up ridiculing me 6 months later.
25 July 2025
24 July 2025
23 July 2025
From one piece Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475 5 beliefs, in the piece's order there
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korrents.com
The last steps to AGI should be taken by a CERN-style international research project, not a Manhattan Project.Their words
I hope we'll end up with something more collaborative if needed, more like a CERN project where it's research-focused and the best minds in the world come together to carefully complete the final steps and make sure it's responsibly done before deploying it to the world.
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Their words
I mean potentially that's possible. I would say I'm not sure it's even desirable because that's a kind of hard takeoff scenario.
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korrents.com
Scaling what we already have, with no further breakthroughs, will be enough to reach AGI.Their words
And so we don't know, I would say it's kind of 50/50 whether new things are needed or whether the scaling the existing stuff is going to be enough.
+ 2 more
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Their words
Do you have enough data to make simulations, so that you can create more synthetic data that are from the right distribution? Obviously that's the key. So you need enough real-world data in order to be able to create those kinds of data generators, and I think that we're at that step at the moment.
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Their words
Including things like universal basic provision or something like that where a lot of the increased productivity gets shared out and distributed to society and maybe in the form of services and other things where if you want more than that, you still go and get some incredibly rare skills and things like that and make yourself unique. But there's a basic provision that is provided.
19 July 2025
17 July 2025
From one piece Assessing Adaptive World Models in Machines with Novel Games (with 13 co-authors) 3 beliefs, in the piece's order there
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Their words
We expect that building and evaluating AI systems capable of this kind of rapid world model induction will be critical for achieving robust, general AI capable of functioning effectively in the complex and fast-changing real world, and especially in human worlds - the environments that human beings have evolved in, created, and are continually changing and re-creating.
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Their words
However, current understanding and evaluation of world models in artificial intelligence (AI) remains narrow, often focusing on static representations learned from training on massive corpora of data, instead of the efficiency and efficacy in learning these representations through interaction and exploration within a novel environment.
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Their words
We contend that games provide particularly rich and controlled environments uniquely well-suited for systematically evaluating rapid model adaptation and the process of world model induction.
16 July 2025
12 July 2025
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Their words, before
it's a luxury good like you're not paying the penalty for that the people who embrace it and think that they can just ask AI for everything or they can just look everything up but they don't have to understand the copy pasta that they slam into their project they're the ones who going to suffer
Their words now
Where I get fired up, and this ties back to the AI discussion, is when that's turned into this meme, that programmers no longer have to be competent. I mean the AI is gonna figure it out. The generators is gonna figure it out. I don't need to know SQL, active record is gonna abstract it away from me. No, no, no dude, hold up. The path here is competence.
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Their words, before
I enjoy it even almost like as a sort of pair programmer AI pair programmer who doesn't drive who's just there to give suggestions to know the API to do all these other things but the second it starts wanting to autocomplete my code I'm like yeah I'm out bro
Their words now
I love chiseling my code and the way I use AI is in a separate window. I don't let it drive my code. I've tried that. I've tried the cursors and the wind surfaces and I don't enjoy that way of writing. And one of the reasons I don't enjoy that way of writing is I can literally feel competence draining out of my fingers.
11 July 2025
10 July 2025
8 July 2025
Nothing matches.
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