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A modern GPT of any serious size outputs logits from a big-ass classifier over token vocabulary. These exist in a space, one can not only posit but empirically
by benreesman 2y ago
A modern GPT of any serious size outputs logits from a big-ass classifier over token vocabulary. These exist in a space, one can not only posit but empirically calculate a manifold with some nontrivial convexity properties, it’s a well-posed if not outright solved problem which LLM wrote something (up to telling it to use a certain manner).
This was a problem not only studied but in which fast and impressive progress was happening until they just turned it off.
It’s a fucking gigantic business to be the best at this. And it’s exactly what a startup should be: unlikely to have a well-heeled incumbent competitor not because no well-heeled firms ignore the market, but because they actively don’t want it to exist.
- digdugdirk 2y agoCan you explain more about this and why this would be useful? From your description it seems like a huge percentage of requests would alter the output enough to prevent specific LLM detection. Also, with so many new LLMs using synthetic and generated data, I'd imagine that throwing a wrench in things too.