01 / belief
I fully agree with that. I think there’s an even stronger counterargument to this theory.
“I fully agree with that. I think there’s an even stronger counterargument to this theory.”
- Speaker
- Ilya Sutskever
- Publisher
- Dwarkesh Podcast
Public evidence record
Co-founder · SSI
Claim ledger
42 transcript-backed records
01 / belief
“I fully agree with that. I think there’s an even stronger counterargument to this theory.”
02 / belief
“I think there are some similarities between both of these and pre-training, and pre-training tries to play the role of both of these.”
03 / belief
“I think that in our case, we have sufficient compute to prove, to convince ourselves and anyone else, that what we are doing is correct.”
04 / commitment
“If the ideas turn out to be correct—these ideas that we discussed around understanding generalization—then I think we will have something worthy.”
05 / belief
“I think there’s a lot of merit because it’s very nice to not be affected by the day-to-day market competition.”
06 / belief
“For things like vision, hearing, and locomotion, I think there’s a pretty strong case that evolution has given us a lot.”
07 / evaluation
“What I was alluding to with the person whose emotional center got damaged, it’s more that maybe what it suggests is that the value function of humans is modulated by emotions in some important way that’s hardcoded by evolution. And maybe that is important for people to be effective in the world.”
08 / belief
“There’ll be very strong economic forces for this, and I think the impact is going to be felt very strongly.”
09 / belief
“What’s the good world? It’s where we have these powerful human-like learners that are also… By the way, maybe there’s another thing we haven’t discussed on the spec of the superintelligent AI that I think is worth considering.”
10 / belief
“I want to emphasize that I think the value function is something that’s going to make RL more efficient, and I think that makes a difference.”
11 / belief
“Basically I think that there is a big benefit from AI being in the public, and that would be a reason for us to not be quite straight shot.”
12 / belief
“I think eventual convergence on the technical approach is probably going to happen as well, but I was alluding to convergence to the alignment strategies.”
13 / belief
“There may be another blocker though, which is that there is a possibility that the human neurons do more compute than we think.”
14 / belief
“I think there will be a convergence of strategies where at some point, as AI becomes more powerful, it’s going to become more or less clearer to everyone what the strategy should be.”
15 / uncertainty
“I do think though that one of the things not addressed here, not discussed, is that with each increase in the AI’s capabilities, I think there will be some kind of changes, but I don’t know exactly which ones, in how things are being done.”
16 / observation
“The counterpoint is, “Hey, it is useful for the world to see powerful AI. It is useful for the world to see powerful AI because that’s the only way you can communicate it.”
17 / evaluation
“Another thing that makes this discussion difficult is that we are talking about systems that don’t exist, that we don’t know how to build.”
18 / evaluation
“Pre-training is very difficult to reason about because it’s so hard to understand the manner in which the model relies on pre-training data.”
19 / prediction
“Now, from 2020 to 2025, it was the age of scaling—maybe plus or minus, let’s add error bars to those years—because people say, “This is amazing.”
20 / prediction
“I think there’ll definitely be diminishing returns because you want people who think differently rather than the same.”
21 / evaluation
“The reason that the term AGI exists is, in my opinion, not so much because it’s a very important, essential descriptor of some end state of intelligence, but because it is a reaction to a different term that existed, and the term is narrow AI.”
22 / prediction
“I think when that happens, we will see a big change in the way all AI companies approach safety.”
23 / prediction
“Because what will happen as a result is that now the AI understands something, and we understand it too, because now the understanding is transmitted wholesale.”
24 / evaluation
“In terms of utility though, I think there is a thing where there is this complexity-robustness tradeoff, where complex things can be very useful, but simple things are very useful in a very broad range of situations.”
25 / evaluation
“Yeah, I would say the data situation is still quite good. There's still lots to go.”
26 / belief
“I think that relying on people to teach our models to do things, especially to make sure that they are well-behaved and they don't produce false things is an extremely sensible thing to do.”
27 / prediction
“If it somehow ends up being the case that you really want them to be reliable and they ended up not being reliable, or if reliability turned out to be harder than we expect.”
28 / uncertainty
“I want to make the biggest possible bet on deep learning. I don't know how, but it will figure it out.”
29 / prediction
“I expect there's going to be a convergence-divergence-convergence behavior, where there is a lot of convergence on the near term work, there's going to be some divergence on the longer term work.”
30 / prediction
“There is obviously less publishing now so it will take longer before this promising direction gets rediscovered.”
31 / belief
“I think that you can still go very far in text only but going multimodal seems like a very fruitful direction.”
32 / prediction
“Today when you use Copilot, how do you divide it up? So I expect at some point you ask your descendant of ChatGPT, you say — Hey, I'm thinking about this and this.”
33 / belief
“Let me describe to you what I think is not quite right about the question. It implies we get to decide how we want the world to look like.”
34 / prediction
“The GPUs were improving concurrently because you have smaller and smaller transistors and you're looking for things to do with them.”
35 / prediction
“I think large-scale tracking is possible, yes. It requires special operations but it's possible.”
36 / evaluation
“The reason for that is that, as far as I know, neuroscientists are really convinced that the brain cannot implement backpropagation because the signals in the synapses only move in one direction.”
37 / commitment
“I try really hard, I give it everything I've got and that has worked so far. I think that's all there is to it.”
38 / prediction
“One thing I imagine is that we will be able to become more enlightened because we interact with an AGI which will help us see the world more correctly, and become better on the inside as a result of interacting.”
39 / prediction
“We’ve made some progress but much more progress is possible. And so I would expect that ultimately, the thing that will really succeed is when we will have a small neural net that is well understood that’s been given the task to study the behavior of a large neural net that is not understood, to verify.”
40 / evaluation
“Back then it really wasn't possible to continue working in robotics because there was so little data.”
41 / prediction
“For example, I believe that Intel has fabs just like a few generations ago. So that means that if Intel wanted to they could produce something GPU-like from four years ago.”
42 / prediction
“Rather than achieving one mathematical definition, I think we will achieve multiple definitions that look at alignment from different aspects.”