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Ah right, so you like AI and don't care to understand how it works. It doesn't "decide" anything or "need" any semantic. It derives the likelihood of the token
by bigfishrunning 3mo ago
Ah right, so you like AI and don't care to understand how it works.
It doesn't "decide" anything or "need" any semantic. It derives the likelihood of the token, and "bearing" is likely to come after "load".
- Myrmornis 3mo agoSure but the question is why "load" after X?
- bunderbunder 3mo agoMore-or-less the same principle, but scaled up massively, and with context-dependent probability conditioning maps.
- bigfishrunning 3mo agoBecause, for some high number of contexts, its likelihood comes out high in the big tree of multiplies that is claude's model. For some sets of 500 words (or whatever), the next word is "load". The classifier that decides which sets of 500 (or whatever) words is a prefix for "load" is returning "true" too often.