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454 points nathan-barry | 1 comments | | HN request time: 0s | source
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kibwen ◴[] No.45645307[source]
To me, the diffusion-based approach "feels" more akin to whats going on in an animal brain than the token-at-a-time approach of the in-vogue LLMs. Speaking for myself, I don't generate words one a time based on previously spoken words; I start by having some fuzzy idea in my head and the challenge is in serializing it into language coherently.
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1. silveraxe93 ◴[] No.45645607[source]
That's why I'm very excited by Gemini diffusion[1].

- [1] https://deepmind.google/models/gemini-diffusion/