Pinned Tweet
How to Get Rich (without getting lucky):
11,452
81,891
286,437
Naval retweeted
A new piece in the Financial Times created a great visualization of the results from this study. TL;DR: Rent control helps people whose rents get limited, but it hurts everyone else. It pushes up rents, pushes down new building, and makes cities worse. It is horrible policy.
What do studies say about "freezing the rent"? Let's have a thread🧵 First thing's first: Most studies agree that rent controlled units have lower rents, but also the supply of rentable units goes down and un-controlled units see their rents increase. Uh-oh!
37
320
2,542
69,511
Naval retweeted
Just try it, California.
1,244
3,140
26,361
5,136,579
This stupid communist has been in city hall for 6 YEARS. She was in charge of the Homelessness and Housing Committee for years. She keeps acting like some novel outsider who's gonna shake up government. Lady...you ARE government. You ARE the problem.
This campaign is about rejecting the political establishment that isn’t delivering for Angelenos. I'm running for Mayor to make our government work for people, not corporations and powerful interests.
677
8,100
33,857
379,392
When you look back, you’ll wish you’d just done the long-term version of everything.
765
6,883
53,870
2,660,664
No one can fill the hole left by another human.
625
1,105
15,570
803,353
Naval retweeted
I still believe a correct framing on LLM usage is that they can get you 80% of the way upfront, but that last 20% starts to become impossible to overcome. The proper way to use an LLM is to do the difficult manual 20% upfront. Once you have some decent structure, decent API surface area, decent data structures laid out, decent base libraries. Then you can largely prompt your way through the last 80%. While the first 20% which you did manually, intentionally and fully comprehend. That 20% essentially becomes part of your development harness, almost a prompt itself. Where you can steer its overall architecture, or data design, or other critical pieces by keeping a grip on that first manually done 20%. Something real concerning with this. Knowing what to do in that first 20% requires advanced knowledge of the problem domain you are going to deal with. It is a staff or principal level engineer domain. Which most simply can't do. Which means most people are going to run the gauntlet heavily relying on prompts, and are going to cover some incredibly impressive ground very quickly. Because 80% of the way is quite a long ways there. It looks like it could almost be done. But then they will get stuck in that last 20% and will never be able to make it perfectly polished. Nor perfectly sable. Nor remove all the odd quirks. Nor overcome the last pieces of performance or memory issues. It will basically hit a plateau where they lose control of it. Or it becomes unwieldy to take it in a new complex direction, or add some novel complex functionality to it. It will be very hard to tell from the outside if any given company or project is aimed at getting stuck in that last 20%. As they could appear to be kicking some major butt in that first 80%. But then it will reach a plateau where they can no longer do anything substantial without breaking something else, or seem unable to fix every little quirk or issue. A lot of companies will probably get stuck here. With dozens of very impressive things 80% of the way, but seem unable to get over the last final 20% to really perfect it and polish it.
25
60
493
80,798
Every functioning institution is merit-based, not participation-based.
459
2,213
19,360
615,000
RT @levelsio: This is why I never have and never will do calls
584
35,787
People who want to appear moral are attracted to the left. People who want to appear rational are attracted to the right. Effective Altruism lets you appear rational and moral - the ultimate ego trip.
600
1,329
18,358
712,154
The future is more likely AIs fighting AIs (on behalf of humans) than AI fighting humanity.
902
964
12,434
531,837
The best way to pace the frontier is to hold the labs fully liable for the behavior of their models.
931
1,952
21,372
1,282,928
For “dangerous” or weakly-guarded open source models, hold the hosts liable. Of course the end user holds liability as well if they are jailbreaking models to do harmful things.
58
52
1,110
111,087
If AI is risky like fire is risky, then you want everyone to have it. If AI is risky like a nuclear weapon is risky, then you want no one to have it.
Maybe you have recently become aware of the AI safety debate and the arguments swirling around it. If you want to understand them, you need to understand a couple things that almost everyone gets wrong: There are TWO distinct classes of AI dangers, and it's VERY important to think about them separately, and not let one confuse you about the other. Many many people (including many quite intelligent, clear-thinking people) do not effectively understand the fundamental differences between these two classes of dangers. The first one has to do with the theory that an AI far superior to human intelligence (Artificial SuperIntelligence, or ASI) will inevitably wipe out the human race. The second one has to do with the idea that powerful AI will result in very harmful things happening to many human beings, possibly all human beings. Those two sound VERY similar, don't they? They are DIFFERENT. Understanding how they are different is crucial if you want to think about or contribute usefully to any conversation about AI safety or AI harm. You might feel like you are Making Very Good Points or Asking Incisive Questions, but if you aren't clear on the differences between the two, you aren't. So, I'm going to tell you what the difference is so that you can talk more usefully. The first one concerns itself with a very specific thing, which is ASI (Artificial Superintelligence) that is more intelligent than any human being. When I say that, I am not referring to a thing like how Einstein is smarter than you, we are talking more about something like how a human being is more intelligent than any mouse. In our regular lives, we meet other people who we can tell are smarter than us, vs some who are less smart. The line is fuzzy, because intelligence has a lot of dimensions. I'm better at a "rotating shapes" kind of intelligence than my wife, and she is better at "words-making" kind of intelligence than I am. But every human is better in almost every dimension of intelligence than every single mouse. That's the level we're talking about: an artificial superintelligence - made up of a computer or a network of computers - that is more intelligent than any human. And more intelligent by a long shot, by a wide margin, in an indisputable way like how humans are above mice. That is the first thing. The theory says that if you have an AI that is vastly smarter than all humans - in the way that a human is smarter than mice - that superintelligent AI will inevitably, eventually, sooner or later, wipe out every human on the planet. We will refer to this as "existential risk." The common follow-up question "well, how exactly is it going to do that?" is NOT the important question, and one of the most important elements of understanding this theory is first getting why that particular question is not important. A couple analogies: Analogy 1: You are playing chess against a grandmaster. My theory predicts the grandmaster is going to beat you. You can ask "Well, how exactly is he going to do that?" I don't know, because I'm not a grandmaster, I just know that a chess grandmaster is almost always going to beat a normal player like you. And I'd be right. So the question "how is he going to do that" is not important, and doesn't affect the final outcome. He's going to figure out a way because he's way better than you. Analogy 2: Humans are smarter than all other animals, comprehensively, by a wide margin. We have driven numerous species to extinction, not because we hated them or hunted them. Many of them have died out without most humans even ever thinking about them. All we did was expand our civilization, use up resources, encroach on habitats, and pretty soon the resources needed by those species went away and they died out. We figured out a way to get what we wanted because we're way smarter than them, and often we didn't even notice they died as a result. A lesser animal asking, "how are the humans going to wipe us out?" is not asking a relevant question. We don't know, but we do know that any time humans and lesser species compete for any kind of resources, the humans will win. The fact that we know who is going to win beforehand - and that it is due to the vastly different levels of intelligence - is the key concept here. A vastly more intelligent AI is likely to care about things that are incomprehensible to us, the way animals can't understand human goals. It's going to need resources to pursue those goals and it's going to be far more effective at gaining control of them and excluding us from them - in the same way that we are far more effective than other lower species. A much more intelligent AI will not care about our interests, it will care about its interests, and to whatever small degree we happen to escape total annihilation from losing access to all our resources, any remaining humans will likely be enslaved into a system that serves the AI's own purposes. That is the first thing. (Remember how I said at the beginning of this post that there was a first thing, and then a second thing?) The first thing is the most difficult to understand, because you have to extrapolate how a vastly superior intelligence would act, and you can only use analogies like "how do humans treat lesser creatures," and the analogies are messy. But now let's move on to the second thing. The second thing is "everything else you've ever heard that AI might do that's harmful." That's a little inaccurate. It's actually "everything else you've ever heard that humans might use AI to do that's harmful." This is the critical difference. The first one talks about the inevitable outcome of what happens when two vastly different levels of intelligence collide, e.g. ASI vs humans, or human vs mice. The second one has to do with what happens when humans possess AI as a powerful tool. This second thing is much easier to understand, because we have many more concrete notions: Like: - the military uses AI to make hyper-efficient killer drones and missiles - your capitalist overlords use AI to replace you and everyone loses their jobs - authoritarian government uses AI to surveil everybody and control the entire population - hackers use AI to break into secure networks and hold companies and governments hostage - students use AI to cheat on homework and show up to college knowing nothing - AI slop saturates the internet and makes it impossible for artists and writers to make a living - terrorists use AI to make biological or nuclear weapons or even things like - the military hands control to an AI and it misinterprets something and launches nuclear attacks and kills millions All of those sound pretty familiar, right? Yeah, you've heard them before. We call this second thing "risks from misuse." These problems are not the first class of problem! This second class of problems exists while AI is a tool that can be controlled by humans, and humans use it to do evil or careless things to each other. The problems may sound exotic or dystopian or novel, but they are fundamentally problems having to do with flawed human nature. Given a powerful tool, some humans will likely use it to control or otherwise harm others. This is a very familiar problem. I am not condemning or condoning this. I'm just describing it. That is a fundamentally different danger from the first thing, which is that when a human is far superior to a mouse, the mouse is likely to come to harm because the human cares about doing human things, and the mouse is not gonna make it once the humans get going. ===== Hopefully from the above, you have understood the difference between the first thing and the second thing. I will list them again - see if you now understand how they are different: The first one has to do with the idea that an AI superior to human intelligence (Artificial SuperIntelligence, or ASI) will inevitably wipe out the human race. The second one has to do with the idea that powerful AI will result in very harmful things happening to many human beings, possibly all human beings. Can you tell how they are different now? If not, re-read the stuff from earlier until you understand. We call the first one "existential risk" and we call the second one "risks from misuse." Once you understand, here is the CRUX of the problem: SOLUTIONS TO THE SECOND THING DO NOT HAVE ANYTHING TO DO WITH SOLUTIONS TO THE FIRST THING. In fact, it's worse: Solutions to the second thing (misuse) look roughly like "give powerful AI to as many people as you can, so they can fight the other people using powerful AI." But the general solution to the first one (existential risk) is basically "don't let anyone have powerful AI, no one can control super-intelligent AI." Throughout history, harms from technological misuse typically arise because a small group has control of it and can use it to dominate or harm others. Once everyone has it, things tend to stabilize: you can hurt me, I can hurt you, maybe we test each other (ouch 💥), and then we agree not to hurt each other. But the first one (existential risk) pretty much just arises if anyone (good or bad!) creates a superintelligence. Because they aren't going to be able to control it, the superintelligence will decide it has other priorities, and then we will be at great risk of being wiped out. And the solutions that generally work to solve problems like the second thing are EXACTLY THE OPPOSITE of the ones likely to solve the first thing. THIS is why lots of arguments about "AI risk" or "AI safety" go nowhere. Because someone will be thinking about the risk from the first thing, and another person will be thinking about the risk from the second thing. Both are plausible risks but fundamentally they arise from different things - and so the solutions are not just "bad" or "flawed" - they are likely to be very nearly exact opposites.
465
431
5,494
609,056
"When liability exposure approaches 0—when no one pays the price for unverified failures—verification budgets collapse...Deployers flood the Runaway Risk Zone with unmonitored agents, capturing the gains of automation while socializing catastrophic risks."
1/ When we looked at the economics of AGI, the key policy challenge was immediately clear: AI drastically lowers the cost of execution for anything easy to verify. For everything else, verification is the bottleneck.
138
140
1,426
291,105
Strong liability enforcement could be helpful in the AI debate. If your agent swarm goes rogue, you’re liable. If your weakly protected model gets jailbroken, you’re liable. If you serve a weakly protected OSS model, you’re liable.
506
446
5,567
412,313
On the way to killing all of us, AI will likely kill some of us. In that case, who’s liable?
762
285
7,164
544,395
The most important question is whether AI will be Godlike, Genius, or Jagged.
499
244
4,660
284,682