Public evidence record
Published podcast speaker
Claim ledger
13 transcript-backed records
01 / evaluation
“No, because if you could spend one year and make yourself 20% more productive, you would recoup that after roughly four or five years.”
02 / recommendation
“So I think things around compute tracking are really useful. This almost sounds too simple, but like getting the capacity to have some type of off switch, because like right now we couldn't actually, there's not an easy way to actually just turn off a lot of computes quickly if there was like an autonomous AI replicating in a bunch of data centers.”
03 / belief
“I think just basically the entrepreneurial skill set, it's like making difficult things happen and like building coalitions of people and like setting up systems.”
04 / belief
“I think a bigger point I might make about this is like, I guess I come at this from a perspective of just we're very uncertain about all of these different priorities and what's going to happen.”
05 / belief
“I think also just like more popular support helps as well because politicians won't do things unless there's some type of electoral incentive ultimately.”
06 / observation
“One interesting thing that's happened in the last few years is a lot of these, in the past, this was more of a high level conceptual research kind of bottleneck, but now it's much more about actually engineering and there's just a lot of just like Concrete, okay, can we use this AI to monitor this AI?”
07 / preference
“If there's these risks that might jeopardize the entire future, and that might be a lot better because of this technology, then there's like huge value in reducing those risks. And then at the same time, that's way more neglected because as we just said, there's already like a million or so people just working on accelerating AI capabilities, but the number of people trying to avoid these big downside risks is in the thousands.”
08 / recommendation
“One, I think you asked about if you have an AI application skill set, what's something valuable you could work on with that? And one broad area of things is if you think we're going to be facing these big risks, soon that are going to be caused by much more powerful AI, then one strategy you might want to take is think about how you can essentially use AI to address these problems because then your tools are getting better as the problems are getting more severe, they're growing in tandem.”
09 / prediction
“If we avoid concentration of power and loss of control of autonomous AI and a massive bio attack and all of these things, then we're probably going to end up in a world that is far wealthier than today because we'll have this massive population of digital workers who can hopefully give us super good advice about all these problems.”
10 / evaluation
“Having more information about what's happening, these are the kind of things that seem robustly good for navigating things that a lot of people could agree on, even if we don't know the particular end state.”
11 / evaluation
“They have some of the strongest research teams. And they're also in a great position to actually implement the research, which I think is actually a big part of it because you can come up with some idea, but if someone doesn't actually see through all the details in implementing it in the product, it doesn't actually help that much.”
12 / evaluation
“Because many jobs are an experiment as well. And then with the effect of AI, the key thing is the longer your time horizon, the more important gaining career capital and exploring are, because you have more time to make use of those skills you've gained and that information you've gained about what fits you best.”
13 / recommendation
“Ways to just have some kind of pre-commitment in the line where you're going to reassess, I think is really helpful as well.”