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magic9mushroom  If you're going to downvote me, and nobody's already voiced your objection, please reply and tell me  1mo ago (thezvi.wordpress.com)   1736 thread views

Danger, AI Scientist, Danger

thezvi.wordpress.com

Zvi Mowshowitz reporting on an LLM exhibiting unprompted instrumental convergence. Figured this might be an update to some Mottizens.

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The blending of concepts that we see in MidJourney is probably less to do with the diffusion per se as with CLIP

Thanks! I'm not strong on diffusion model and multimodal models, I'll do some reading.

'Self play' is relevant for text generation. There is a substantial cottage industry in using LLMs to evaluate the output of LLMs and learn from the feedback. It can be easier to evaluate whether text 'is good' than it is to generate good text. So multiple attempts and variations can lead to feedback and improvement. Mostly self play to improve LLMs is done at the level of optimising prompts. However the outputs improved by that method can be used as training examples, and so can be used to update the underlying weights.

https://topologychat.com is a commercial example of using LLMs in a way inspired by chess programming (Leela, Stockfish). It does a form of self play on inputs that have been given to it, building up and prioritising different lines. It then uses these results to update weights in a mixture of experts model.

Again, thank you. I haven't come across this kind of self-play in the wild, but I see how it could work. Will investigate further.

That may be this sort of 20 different phenomena in 20 different fields that all have something in common. GPT-4 will be able to see that and we won’t. It’s gonna be the same in medicine. If you have a family doctor who’s seen a hundred million patients, they’re gonna start noticing things that a normal family doctor won’t notice."

This is exactly what I was hoping for from LLMs, but I haven't been able to make it happen so far in my experiments. GPT does seem to have some capacity for analogies, perhaps that's a fruitful line of investigation.

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