Dwarkesh Podcast / 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
19 published records
01 / evaluation
“Yeah, I would say the data situation is still quite good. There's still lots to go.”
02 / 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.”
03 / 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.”
04 / uncertainty
“I want to make the biggest possible bet on deep learning. I don't know how, but it will figure it out.”
05 / 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.”
06 / prediction
“There is obviously less publishing now so it will take longer before this promising direction gets rediscovered.”
07 / belief
“I think that you can still go very far in text only but going multimodal seems like a very fruitful direction.”
08 / 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.”
09 / 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.”
10 / prediction
“The GPUs were improving concurrently because you have smaller and smaller transistors and you're looking for things to do with them.”
11 / prediction
“I think large-scale tracking is possible, yes. It requires special operations but it's possible.”
12 / 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.”
13 / 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.”
14 / evaluation
“Give me an over-under. Ilya Sutskever The problem is that my error bars are in log scale.”
15 / 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.”
16 / 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.”
17 / evaluation
“Back then it really wasn't possible to continue working in robotics because there was so little data.”
18 / 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.”
19 / prediction
“Rather than achieving one mathematical definition, I think we will achieve multiple definitions that look at alignment from different aspects.”