Evidence receipt / evaluation
Published · transcript-backedShane 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.”
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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?…
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