Public evidence record
Published podcast speaker
Claim ledger
10 transcript-backed records
01 / evaluation
“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.”
02 / belief
“I think where you're going to get the most value for your compute cycles is somewhere in between.”
03 / evaluation
“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.”
04 / prediction
“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.”
05 / prediction
“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.”
06 / prediction
“The reason you cannot do that in real life is because you don't actually know what's going to happen in the future.”
07 / evaluation
“You are increasing its usefulness, its scope of applicability, but not its intelligence because skill is not intelligence.”
08 / recommendation
“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.”
09 / evaluation
“" As a human living your life, in most situations you already know what to do because you've been in this situation before.”
10 / evaluation
“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.”