All too often, politicians are turning their back on the most beneficial policies because they lack the political courage or the political skill to introduce them.
In an era where validating image authenticity is turning into a real challenge, I think we have to commend Apple for trying to do something in this field.
So, we did a classifier sweep specifically looking for agents thinking about or making the decision to alert humans. And across, 1200 transcripts, each of which are extremely long, we only found like a halfozen instances of it ever occurring to any agent to potentially notify humans. Um, and all of them just decide not to do it.
Omarchy is not going to adopt a formal Code of Conduct because those turned out to be struggle-session processes in the last turning. But we are going to play nice. We're going to be courteous, professional, and composed in our direct interactions with users, competitors, and even haters. Because that's what's going to pave the path to the win.
The thing about executive orders, which is a little secret, is when administration changes, you can just revoke the executive order and and start from scratch again. Um when something is a law, you you can't do that.
So, a deployment of your agent uh in the real world generates data. That data then grounds the simulator and makes it more realistic. The simulator generates harder edge cases for the critic to score and for the agent to learn from.
And I think there's a lot of room in a lot of domains for much faster validation models, possibly learned valu validation models that can uh you know get you a a approximation to the true answer much much more rapidly. And that changes how those experimental loops can be thought of and how quickly you can go around those loops.
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.
Mind candy: continuing Robins's series of historical mysteries set in a very-slightly-alternate Regency London. (I re-read the last one, Sleeping Partner, before turning to this.) Robins continues to be great and I hope that many more of these will flow from her pen.
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.
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.
Nor nor did I I would say my mistake is I didn't deeply internalize that they they really had no other options that that that a VC would never put in 510 billion of investment into an AI lab with the with the hopes of it turning out to be anthropic. And so that was my miss.
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.
Abraham Lincoln surrounded himself with his opponents, gradually turning them into admirers and influential advisors. Lincoln’s approach to leadership offers lessons for anyone looking to tap into the wisdom of others, with or without formal authority.
this is a very deep truth about habits, which is a habit must be established before it can be improved. You know, it has to become the standard in your life before you can scale it up and optimize and turning it into something more. You need to standardize before you optimize.
A decade on, it already feels possible that in the future, commentators will argue that this specific fruitful synthesis lit the fuse on evolutionary cultural anthropology’s explosion (with due apologies to earlier books from L. L. Cavalli-Sforza, E. O. Wilson, Peter Richerson and Robert Boyd).
There Is No Antimemetics Division by qntm is a mind-bending psychological thriller about a secret agency tasked with fighting dangerous "antimemes"—ideas that refuse to be remembered. Plenty of stories start with a clever high-concept premise and just let it play out. This one pushes its premise to extremes I never imagined possible, ratcheting up an astonishing amount of tension along the way.
Not every plank in his argument is convincing, and the research has evolved since the book first came out a decade ago, but the ambition is impressive and the framework holds up.
At the same time, if you were really paranoid, you think, I don't want to be screenshotted, I don't want to have any leaks, I don't even trust Telegram, I only trust code. Secret Chats are the best option. I believe is the most secure means of communication today.
Yeah. So there's a subtlety here. Emerging capabilities don't just come from the fact that internet data has a lot of stuff in it. They also come from the fact that generalization once it reaches a certain level becomes compositional.
So to me like what what I tend to think about a lot in terms of timelines is not the date when it will be done but the date when it will when like the flywheel starts basically.
I just think about like really simple things like access to mental health care, access to education, access to medical advice, access to legal advice. We're essentially taking expertise and making it a commodity. And I think that will is generally democratizing.
He says, “Now, let us reward our daughters.” It's actually only a phrase. I said it as a complete sentence, but it's not quite complete. The rest is gone, cut out. It's missing.
And for me, that is the worst part about programming, is when you already know the solution and it's just a matter of how fast you can type and get it out from your head to your hands.
Foundation, The Lessons of History, Unqualified Reservations, A Short History of Nearly Everything, The Selfish Gene, Albion's Seed, War and Peace and War, Stalin's War, Energy and Civilization, Who We Are and How We Got Here, The Ancient City, The Fourth Turning, The Grey Lady Winked
Foundation, The Lessons of History, Unqualified Reservations, A Short History of Nearly Everything, The Selfish Gene, Albion's Seed, War and Peace and War, Stalin's War, Energy and Civilization, Who We Are and How We Got Here, The Ancient City, The Fourth Turning, The Grey Lady Winked
Foundation, The Lessons of History, Unqualified Reservations, A Short History of Nearly Everything, The Selfish Gene, Albion's Seed, War and Peace and War, Stalin's War, Energy and Civilization, Who We Are and How We Got Here, The Ancient City, The Fourth Turning, The Grey Lady Winked
Foundation, The Lessons of History, Unqualified Reservations, A Short History of Nearly Everything, The Selfish Gene, Albion's Seed, War and Peace and War, Stalin's War, Energy and Civilization, Who We Are and How We Got Here, The Ancient City, The Fourth Turning, The Grey Lady Winked
Foundation, The Lessons of History, Unqualified Reservations, A Short History of Nearly Everything, The Selfish Gene, Albion's Seed, War and Peace and War, Stalin's War, Energy and Civilization, Who We Are and How We Got Here, The Ancient City, The Fourth Turning, The Grey Lady Winked
This is perhaps one of the first painful lessons anyone who has built an AI product quickly learns. It's easy to build a demo, but hard to build a product.
There is no secret insight that frontier AI companies have which explains why people who work there are so bullish about AI capabilities improving rapidly in the next few years.
The "unknown unknown" problem makes hash (in retrospect) of many attempts at biological theorizing and modeling, and I think that this problem will still accrue to ML models until we know an awful lot more.
Evil Does Not Exist (Japan) 3.7 This is turning out to be an outstanding year for Japanese films. As is so often the case with films from Asia, it begs to be seen on the big screen. Hard to summarize—imagine if Apichatpong Weerasethakul had directed Local Hero. Warning—his films always start slow, and build to a strong second half.
There is a skill to asking good questions, and everyone’s curious though. Curiosity is unbounded in this world. Every person in the world is curious, but not all of them are blessed to translate that curiosity into a well-articulated question.
Well, not just at Area 51, but in all the different national security and military intelligence and intelligence programs. And I personally have no reason to believe that aliens have ever visited Earth. That’s just me personally.
So part of the reason that we deploy the way we do, we call it iterative deployment, rather than go build in secret until we got all the way to GPT-5, we decided to talk about GPT-1, 2, 3, and 4. And part of the reason there is I think AI and surprise don’t go together. And also the world, people, institutions, whatever you want to call it, need time to adapt and think about these things.
One of the reasons I've never cared for crypto currencies is that the associated utopia of trustless society had zero appeal to me. I don't think the world is better off by erasing the need to trust in our transactional counterparts, so turning these transactions into pure computing always struck me as a regression.
Their words now
But wherever this leads us next, it's clear to me now that I was too hasty to completely dismiss crypto on the basis of all the things wrong with it at the moment. Instead of appreciating the fundamental freedom to transact that it's currently our best shot at protecting.
This brings us to the central challenge of all content tracing proposals so far: to make tracing possible, a tracing system needs to turn every WhatsApp user (including the originator) into a cooperative green circle — regardless of whether users actually want to cooperate with police.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.