Comment by jedbrooke
18 hours ago
This is a bit different though. It’s using transformer architecture to emulate almost at the circuit level. It’s probably even more inefficient than something that was trained to emulate a cpu, but with the advantage of actually being an exact emulation rather than learned approximation.
It’s a bit like when a human brain remembers facts, if you sat down and computed the hash values of the thing you were trying to remember, and traced out a DB lookup in your mind, it’d be a lot slower than just “oh yeah I remember that”.
We're in a really interesting world where "anything can run anything." Like, in theory, you could get Doom to run on a Cerebras that's specifically laid out for $specific_model architecture, by swapping the weights it holds in SRAM. Just like we're currently running $specific_model on GPUs that were designed for games in the first place.
To misquote a certain YouTuber: LLMs are just games, unlimited games, but no games.
How accurate is that run of doom i wonder is it lossy in any sense
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