You are not trying to compete with AI in producing outputs, that is a losing game. Instead, you want to use your human advantages as basis of working with AI to do things that neither of you could do alone.
Superlogical makes it up at scale and there is an early breakpoint with busy terminals and clients where we use significantly less memory than tmux or anyone else.
I love this quote. I think it's Lenin. There are decades where nothing happens and weeks where decades happen. And we have seen decades of progress happen in the last nine months.
European governments and thus the EU too is losing lots of tax income from Europeans fleeing Next on the agenda is the European Exit Tax and after that I think they will try to add Worldwide Income Tax (like the US already has) meaning it doesn't matter where you live in the world as a European citizen, the EU will tax you for your entire income!
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.
if you have massive frontal lobe lesions that make it the case that you're no longer emotionally responding to stimuli the consequences are devastating which is that you cannot make decisions complex decisions in your life you can't organize your life you're not motivated to take the right path through life because you don't feel one one way or the other about the different options that are available.
reliability and performance lives on this exponential ladder of nines. So, getting to that first 90% or 99%, that's the easy part. But then every next nine that you want to add, that takes about 10 times more effort.
when you start talking about like most interesting domain problems, you have to pull in so much context that basically even writing what the function is supposed to do becomes a nightmare. The imperative program you write that will get correct 99% of the time is probably good enough to use in almost all cases.
It does feel like we have to be more more explicit about the types of people and talent that tend to thrive at Netflix versus other companies like some of the frontier labs.
It becomes insufferable like as a mathematician because you you would basically be like I'm every single time I see one of these I kind of don't know if it's worth my time even if 99 out of 100 of them are right.
It is a luxury to be able to afford to go slow because when you're really, really busy, you need an admin because you can't afford to book your own tickets. When you're really busy, you cannot afford to clean your own house.
And I don't know how you're going to get yourself there, but you've got to be in this place that you're thinking, you're also thinking, "What if everything goes right? What does right look like? How am I ready for everything going right?" If we're starting with what if everything goes wrong, you're playing defense and you've lost before you're even out of the gates.
the work that we do with building our our computing platform. If we don't if we don't do it, I genuinely believe it doesn't get done. If we didn't take the risk that we take, if we didn't build MVLink the way we built, if we didn't build the whole stack, if we didn't create the ecosystem the way we did it, if we didn't dedicate ourselves to 20 years of CUDA while losing money most of that time, if we didn't do it, nobody else would have done it.
Meanwhile, others like Spotify and Netflix leverage their dominant positions in the market to coerce creators to abandon open podcasts entirely, in favor of proprietary formats that require listeners to be on those platforms — locking in both creators and their audiences so they are stuck as they begin the enshittification process.
Back when the Fourth Amendment was enacted, the most fundamental remedy for an unlawful government entry into your home was a civil suit for trespass against the officers.
It isn't easy dealing with peer pressure and a room of warm and friendly staff begging you say something, anything nice about their terrible product for fear of losing their jobs -- and realizing you must be brutal to their faces otherwise you're not helping the vendor or your own company.
that 50% happens because quite frankly the trust the world has in the United States whether it's its capital markets or whether it's its technology and and its stewardship of what matters at any given time in terms of leading uh sector. So if that is broken uh then that's not a good day for the United States.
I think basically what takes the long amount of time and the way to think about it is that it's a march of nines and every single nine is a constant amount of work.
When you lose a game now as opposed to surfacing your blunders and your like horrible stuff that you did, we flip it on its head. And so we show you your brilliant moves, your best moves. And we have coach say something encouraging. You know, losing just part of learning like keep it up, that type of thing. That change alone was pretty dramatic for us. It grew game reviews by 25%, subscriptions by 20%
like what we see is that over 75% of our new users, they classify themselves as like, I'm completely new to chess or I'm a beginner. And unfortunately, if you're new to chess and you're a beginner, you're not going to have that fun of a time playing live games. We see this in the data. It's like less than a third of those users actually win their first game. And when you lose a game, user retention is 10% worse than when you win a game.
The Mongol strategy is first you take the countryside. They're country people. They think in terms of countryside. You take the countryside, you occupy the countryside, and you cut off the city. It cannot live without the countryside. And that's how they did it every time.
I think computing supply chains are much easier to monitor than nuclear ones - there is only one TSMC and one ASML, but there are nine and maybe soon ten nuclear powers
But we do not have experience with the kinds of problems we’ll face if we build machines that are smarter and more capable than us, so I feel much less sanguine that an adaptation-based strategy will help us there.
And that's what matters, how people feel about it, how people perceive it, it matters. And we saw this recently, you can't just come out with a bunch of statistics and tell people you're winning in this game if they feel like they're losing.
I mean, if that’s right, that means the Maya and the people of Mesoamerica will all share it together, when they thought about, “We need a count of time for us,” they didn’t look up into the heavens, they looked into their bodies. “What’s the first cycle that we actually go through as humans?” and they picked this nine-month thing. It really is our cycle, and no other culture on the planet looked inside themselves to create their calendar like that.
I think federation is the long-term solution to these problems. Eventually, I dream we will be able to seamlessly interact with people across platforms.
It just kind of vanished, because what happens, I’m creating all these artificial event boundaries. I’m losing all this executive function every time I switch, I’m getting a few seconds slower and I’m catching up mentally to what’s happening.
The best tooling in the world will struggle to make up for "regularly losing a day debugging your environment," and so getting that aspect right can easily outweigh almost any other decisions you make.
I tear my hair out when people who are not physicists accuse physicists, like you say, of losing the plot because they need dark matter and dark energy. I don’t want dark matter and dark energy; I want something much cooler than that. I’ve tried. But you got to listen to the equations and to the data.
That’s the only way how you deal with propaganda, because propaganda is not necessarily something that is an outright lie. It can be just one factor that’s taken out of the context and is blown out of proportion. And that is good enough.
You want to buy a company at a price that if you're wrong about what you think it's worth and it turns out to be worth 30% less, you paid a deep enough discount to your estimate that you're still okay. A big part of investing is not losing money.
At a higher level, the real event was a catastrophic failure of the industry's strategy of relentlessly shouting as loud as they can "Hey, get off our case, we're busy saving lives here!"
After World War II, the US could have basically taken over the world in any country, we’ve got nukes, nobody else has got nukes. We don’t even have to lose soldiers. Which country do you want? And the United States could have taken over everything and it didn’t. And the United States actually helped rebuild countries.
Reading the book had not changed my fundamental belief that, in balance, we were on a good trajectory with AI research: good for science and good for society with expected positive impacts in many domains.
Their words now
I now believe that I was wrong and short-sighted to ignore that dual-use nature. I also think I was not paying enough attention to the possibility of losing control to superhuman AIs.
The temptation to enshittify is magnified by the blocks on interoperability: when Twitter bans interoperable clients, nerfs its APIs, and periodically terrorizes its users by suspending them for including their Mastodon handles in their bios, it makes it harder to leave Twitter, and thus increases the amount of enshittification users can be force-fed without risking their departure.
It's a really great read. I read this in two days when my life was very busy, and I really shouldn't have been taking time off to sit in the corner and read, but I just kept wanting to return to it because I was marvellously entertained and engaged by it.
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