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by somenameforme
20 days ago
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I think a contemporary comparison is OpenAI's DALL-E. Predating but foreshadowing LLMs they went closed source and tried to monetize it, but within a few years the entire concept just fell apart. Now you can download free open source software, that works better than DALL-E and runs fine on a plain old video card, and for orders of magnitude lower cost. I think we can start to see the outlines of this happening with LLMs as well. Local models have gone from being proofs of concept to something that is at least remotely comparable to contemporary models, and the gap there is closing faster than SOTA models are pushing it forward. Local models still suffer from high hardware requirements, but so did early image gen models where typical consumer hardware was insufficient for efficiently running them. |
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The US government thinks they can dictate who can access "Mythos-level" (whatever that is) LLMs. But what will happen when this can be run on consumer hardware?
I guess this will be yet another vector too attack open computing and the idea that people can a) own computers, and b) choose what software they run on their own computers