High Signal Podcasts Evidence ledger
Method
Browse
← Back to evidence

Evidence receipt / evaluation

Published · transcript-backed

Shane Legg: evaluation

26 Oct 2023 Dwarkesh Podcast Shane Legg (DeepMind Founder) — 2028 AGI, superhuman alignment, new architectures

“Large language models have a certain kind of sample efficiency because when something's in their context window, that biases the distribution to behave in a different way and so that's a very rapid kind of learning.”

— Shane Legg

Source trail

Everything needed to verify it.

Speaker
Shane Legg
Attribution
Verified speaker
Claim type
evaluation
Recorded
26 Oct 2023
Publisher
Dwarkesh Podcast

Transcript context

…The thing you're referring to with episodic memory, would it be fair to call that sample efficiency or is that a different thing? It's very much related to sample efficiency. It's one of the things that enables humans to be very sample efficient. Large language models have a certain kind of sample efficiency because when something's in their context window, that biases the distribution to behave in a different way and so that's a very rapid kind of learning. There are multiple kinds of learning and the existing systems have some of them, but not others. It's a little bit complicated. Is this kind of memory, what we call sample efficiency, a fatal flaw of these deep learning models that it just takes trillions of tokens, a magnitude more than what any human will see throughout their lifetime or is this something that will be solved over time?…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.

Search evidence