Speakers in the public record
Claim mix
evaluation 7belief 7prediction 3recommendation 1preference 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
19 published records
“You can apply it to more and more tasks. But general intelligence is not task-specific skill scaled up to many skills, because there is an infinite space of possible skills.”
- Publisher
- Dwarkesh Podcast
“How many of them are not 11, 12, or 13 years old? I agree this is not rocket science.”
- Publisher
- Dwarkesh Podcast
“I think where you're going to get the most value for your compute cycles is somewhere in between.”
- Publisher
- Dwarkesh Podcast
“I had a lot of free time. It was right after you'd published your paper, "On the Measure of Intelligence”.”
- Publisher
- Dwarkesh Podcast
“I agree they're not AGI. I'm just trying to figure out if we’re on the path to AGI.”
- Publisher
- Dwarkesh Podcast
“We're going to learn really quickly if there's a lot of low-hanging fruit ideas. Again, I think new ideas are needed.”
- Publisher
- Dwarkesh Podcast
“I agree we're not there yet, but I'm confused about why we're not on the spectrum.”
- Publisher
- Dwarkesh Podcast
“I think there was also expressing the JSON in a way that is more amenable to the tokenizer.”
- Publisher
- Dwarkesh Podcast
“I think I agree with that. I might phrase it in this way. The people who are smarter have, in ML language, better initializations.”
- Publisher
- Dwarkesh Podcast
“The big difference is that you can never pre-train on everything that you might see at test time because the world changes all the time.”
- Publisher
- Dwarkesh Podcast
“I agree that smart humans will do very well on this test, but the average human will probably be mediocre.”
- Publisher
- Dwarkesh Podcast
“I think whatever solution we see that will score well is probably going to need to leverage some aspects from deep learning models and LLMs in particular.”
- Publisher
- Dwarkesh Podcast
“I don't think it's necessarily going to be in and of itself AGI, but it's probably going to be a huge milestone on the way to AGI.”
- Publisher
- Dwarkesh Podcast
“The reason you cannot do that in real life is because you don't actually know what's going to happen in the future.”
- Publisher
- Dwarkesh Podcast
“You are increasing its usefulness, its scope of applicability, but not its intelligence because skill is not intelligence.”
- Publisher
- Dwarkesh Podcast
“Maybe we won't be releasing it publicly, but what we could do is just create a test server where you can query, get a task, and submit a solution.”
- Publisher
- Dwarkesh Podcast
“" As a human living your life, in most situations you already know what to do because you've been in this situation before.”
- Publisher
- Dwarkesh Podcast
“If you just had the intelligence but it was not hooked up to an extensive memory, it would not be that useful because it would not have enough material to work from.”
- Publisher
- Dwarkesh Podcast
“Because we expect it's going to be multiple years, we want an interactive game here.”
- Publisher
- Dwarkesh Podcast