When you're in a phase of experimentation, it's not particularly surprising that you will feel very generative and, at the same time, that nothing will be of production-grade quality, so to speak.
LAST WATCHED: SISU 2: ROAD TO REVENGE (2025) is, sadly, a more conventional film than the original. Still lots of bloody fun, but too similar to the original in its beats to be as enjoyable, trying harder to be “emotional” while losing some of the little textual depth that made the first film surprising.
I wish everybody read this book. The surprising thing is that many aspects and recommendations apply to virtually any language, not specifically English.
without metadata prompting when you add lower quality data from 80% data to 100% data the performance actually decreases which is perhaps not too surprising because you're adding lowquality data to your data mixture whereas with the metadata prompting the performance actually increases when you add that lowquality data
I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume OpenAI has sounder sandboxes.
if you want to do loops engineering, you should build one loop at a time and you should keep them small and contained. Basically, I think everything except stop reading the code is really good advice.
And so it's like I mean getting into Eli Goldrat and the goal is like optimizing for utilization and efficiency of one node in your factory rather than the end to end goal of like how do we ship value and things that people like that are stable and like will last a long time. But that's my idea of token harder
We tried this. We built a lights off software factory in July of 2025 and by November we had shut it down. I think it takes about three to six months of you shipping all the time with nobody reading the code before you realize like, wow, this is getting way worse and it's easier to start over than it is to fix it.
but it would be a little bit disappointing and a little bit surprising if there weren't over the next 5 years like, uh, economically valuable improvements that were made that were directly like referable to the like AI progress in math.
that like if it's capable of building mountains uh that are, you know, the correct new theory that like crystallizes how we should be thinking about a subject, that's just such a level of intelligence that then it starts to feel like it would be surprising if that didn't permeate into other aspects of the economy besides like just the mountain building for math itself.
To meet the global population’s protein needs through factory-produced bacterial protein in 2024 would have used more than the total global electricity generated using renewable (hydro, photovoltaic and wind) energy
And then in terms of the capital intensive like AI in a factory and also the foundry and then you really need to tap either government funding or some sovereign fund
if if I got to pick one if I get to pick one thing that you do as CEO, I'm going to pick that you're right. So even if you don't, you know, even if you don't operate the ship or the factory that well, I'd rather that you picked the right product, the right strategy than you were phenomenal at execution or inspiring people or managing because, you know, being in the right body of water matters more than the right boat.
it's not just like there's some factory somewhere that you can pay to produce the the data like you actually need to invent new novel scientific approaches
In the same way we owe our you we have a responsibility to our users we have a responsibility to our engineers or our builders people who are in the factory building and so I said there there should be a moral contract if you're going to take that hill I'm going to show you that I am going to work just as hard to unlock value out of the work you did
Perfect friends are not possible. Instead of wondering how to change them, perhaps try being just a tiny bit more patient, and see how they might end up surprising you.
Much of the product world now recognizes the project model as a turbo-charged feature factory, capable of producing more bad products, faster, than ever before.
Pick your ASIC team where you can say I can bet the farm of I can bet my entire business that you will be here for me every single year. Your cost, your token cost will decrease by an order of magnitude every single year. I can count on it like I can count on the clock.
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.
And so when you take these things in combination, I am absolutely certain that the world's GDP is going to accelerate in growth. I'm absolutely certain the percentage of that GDP that will be used for computation will be 100 times more than the past
Which is, you know, you’re the game designer who’s playing God, and players are the ants in your ant farm, and you want to see what they’re gonna do, which is not the correct way to be a good multiplayer designer.
I will tell you though what the most surprising thing has been. The most surprising thing has been the lack of public recognition of how close we are to the end of the exponential.
And so that's the last thing which was very surprising to me which is that like we already reversibly cry preserve tissue including human tissue including whole body human tissue at that very very small like you know in a couple hundred cells stage
Jazz is messy, and musicians seem to court disaster night after night. What can product leaders learn from how these artists approach their art? Barrett’s entertaining book formed the backbone for
Sweden, for instance, is often praised for its high adoption of prefabricated construction, but since the 1990s Sweden has had roughly flat construction labor productivity, even as it has made more extensive use of prefabrication.
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
One thing that changed was that Eukodal was not available anymore, so the drug that Hitler actually had become physically addicted to was suddenly not available anymore. This had to do with the bombardment of the Merck company, the factory in December 1944. British bombers destroyed the production facilities.
But it seems like you can understand it through passive observation, which is pretty surprising to me. And again, I think hints at something underlying about the nature of reality in my opinion, beyond just the cool videos that it generates.
A surprising number of my favorite books were not meant to be published. They were private notebooks, or fragments from works-in-progress that never got finished: among them Pascal's Pensées, Simone Weil's private essays, Lichtenberg's waste books, Herzog's Conquest of the Useless, Kafka's diary, Joubert's Carnets, Wittgenstein's Brown and Blue Notebooks, and Sei Shōnagon's Pillow Book.
A surprising number of my favorite books were not meant to be published. They were private notebooks, or fragments from works-in-progress that never got finished: among them Pascal's Pensées, Simone Weil's private essays, Lichtenberg's waste books, Herzog's Conquest of the Useless, Kafka's diary, Joubert's Carnets, Wittgenstein's Brown and Blue Notebooks, and Sei Shōnagon's Pillow Book.
A surprising number of my favorite books were not meant to be published. They were private notebooks, or fragments from works-in-progress that never got finished: among them Pascal's Pensées, Simone Weil's private essays, Lichtenberg's waste books, Herzog's Conquest of the Useless, Kafka's diary, Joubert's Carnets, Wittgenstein's Brown and Blue Notebooks, and Sei Shōnagon's Pillow Book.
A surprising number of my favorite books were not meant to be published. They were private notebooks, or fragments from works-in-progress that never got finished: among them Pascal's Pensées, Simone Weil's private essays, Lichtenberg's waste books, Herzog's Conquest of the Useless, Kafka's diary, Joubert's Carnets, Wittgenstein's Brown and Blue Notebooks, and Sei Shōnagon's Pillow Book.
A surprising number of my favorite books were not meant to be published. They were private notebooks, or fragments from works-in-progress that never got finished: among them Pascal's Pensées, Simone Weil's private essays, Lichtenberg's waste books, Herzog's Conquest of the Useless, Kafka's diary, Joubert's Carnets, Wittgenstein's Brown and Blue Notebooks, and Sei Shōnagon's Pillow Book.
They are not useful in industrial environments where, if a humanoid robot can do it, an industrial machine which is specialized in the task can do it even better.
It's easy to get impressive-looking results if you're comparing against a poorly-tuned baseline, and that observation turns out to explain a surprising fraction of supposed improvements.
I think it’s a failing of archeology to properly see what was happening. I think that most of those cities populations moved no more than 20 to 40 kilometers out and started their own farm, and they lived in perishable houses.
The Thief Collector (US) 3.6 This documentary on a pair of art thieves is extremely enjoyable, despite a somewhat clumsy execution in places. Surprising revelations keep popping up throughout its 100-minute running time.
So you need to have all of your manufacturing facilities and processes and inspection techniques and acceptance tests and everything operating at rate. And rate manufacturing is at least as difficult as designing the vehicle in the first place
In fact, I would say it’s more surprising that the matter that we know about is constitutes as big a fraction of the universe as it does. We’re limited, we’re human. The fact that we see 5% of the energy density of the universe, about one sixth of the energy density in matter, that’s remarkable.
Well, what's good for the goose is good for the gander. And if we don't like great powers coming into our neighborhood, it's hardly surprising that the Russians did not want NATO on their doorstep.
Yet lime is a huge blind spot for economic historians, despite it increasing the productivity of what was still by far the largest portion of the economy: agriculture.
There's a surprising amount of value in having any order at all (even an arbitrary one like first-come-first-served!) to break past indecisiveness about where to start.
we built that system and then we set it on autopilot um and it's been on autopilot for 100 years and here we are and it doesn't fit at all to the world we live in today.
Taleb is always filled with surprising ideas and confrontational bragging. Ignore the hot air and gather the gems. Great thoughts around putting your ass on the line with consequences — not just thinking things in theory but doing things in reality — in the real world.
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