The Cognitive Revolution / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
21 published records
01 / recommendation
“It is not on accident that these things are happening concurrently. And I think one of the things you should be wary of is arguments that we're going to centralize all power in the hands of a couple of actors.”
02 / evaluation
“Meanwhile, Microsoft has published record earnings because they've been able to halve their expenditure on employees and double their output.”
03 / belief
“Paralegals are a different story. And I think like entry level law work is an interesting one here because of course, your first year lawyers who've just been hired, their job is mostly grunt work.”
04 / commitment
“We will have universal basic income, and we will have protection of individual rights.”
05 / belief
“You know, if everyone's using like GBT-7 and they're calling that thing in to do all of their judge work, then whatever flaw exists in GBT-7, that's now your judge. And I think my concern isn't just have we automated the task, but with what information are we automating it.”
06 / belief
“We're trying to build the thing that's pointed outwards that so many people are trying to take your job or take you out of the economy and we think we can build tools to keep you in it. And I think if we're right, that could be one of the largest markets in history because if you are building the tools that help keep people involved, people are going to want to be involved.”
07 / belief
“I saw something, I saw a tweet, I think, recently that said something like, if you were a wrapper around a commodity, you're a landlord.”
08 / belief
“We are moving towards, if we can win, we're moving towards a more specialized economy. And I think no matter what happens, if that's the winning play, I think you should take it.”
09 / belief
“Washington deciding to step down, becoming the great Cincinnatus and not making himself king is one obvious example here, where a leader looked at the incentives, looked at the ability for them to gain power and said no. And oftentimes, I think one of the ways to reconcile like structural views of history and great man views of history is that these structural forces set up the incentives.”
10 / belief
“I think you can expect that to continue to occur across a variety of areas, especially as the core fundamentals become more important.”
11 / belief
“If we're going to build it, and I'm not saying that we do, but if we're going to build it, you should make sure that it's safe. And I think there's been this long-running argument in the AI safety space that doing this is not possible or a waste of time.”
12 / preference
“But even still, if you're searching something on Google and you type in something, you can see which things are ads. This should be really obvious, because of course, I happen to believe in what we're building is that these things should be loyal to your interests, that OpenAI or Anthropic or us, that we shouldn't sign some sort of a deal and then disguise or nefariously let you know, hey, by the way, have this hotel you should be looking at.”
13 / evaluation
“This is part of the arms race, and it's why we are laser-focused on delivering models that aren't just like kind of okay and private, but are better at your existing work than an off-the-shelf model because of the data that they have.”
14 / prediction
“I think the outcome I'm excited by is 1 where AI shifts the direction away from extremely large companies, because look, candidly, a lot of those tasks are automatable today, but Humans retain this advantage or are able to put to use their existing advantages with that embodied experience and are able to train models that can help them compete much faster and better, creating an explosion of small companies and small enterprises that really understand what's going on locally and ultimately help break that efficiency gap we usually see where large companies are more efficient because of their scale, because we can put so much intelligence to work for the average person.”
15 / evaluation
“It's still his work going in and his work going out. And because of this new medium that he's using, it's been one of the best examples I've seen of an artist fully embracing new technology while still maintaining their own distinct style and taste.”
16 / evaluation
“That's really hard to digitize, not because it's impossible to digitize, but because it's hard to know where to get it, because you have it. And second, local information, the kind of things that you see around you, the opportunities that you can spot because you are an embodied person with access to real-time information about everything in your sphere.”
17 / preference
“It is one of the things I think about the most, because the road to hell is paved with good intentions.”
18 / recommendation
“I think if you're taking AI safety seriously, you're going to have to focus on making open weights models safe because open weights models are going to be a reality and they're going to be quite powerful.”
19 / recommendation
“Now we'll talk about, I presume we're getting the pyramid replacement here. And I think there are some things I really want to look at as well include like rising unemployment rates, especially among like your earliest age brackets right there that are just entering the workforce.”
20 / prediction
“Obviously, during the Industrial Revolution, there were lots of concerns that replacing and automating large parts of physical labor would result in a world in which people didn't matter. But I think the actual outcome was a bit different because, of course, There isn't a machine that was produced in the Industrial Revolution that completely automated human thinking and our ability that's kept us at the top of the food chain.”
21 / recommendation
“If you are someone who thinks doom is really likely, the best thing to do is not like continue to evaluate the model to see if we're getting closer, because if we're getting closer, we're going to actually have to do something about it.”