Post #2620386
2026-02-25 17:19 UTC
@funkatron@indieweb.social The technology behind them has always been enormously fascinating to me even if I don't understand it at a very low level. And understanding even that is what lets people see value in specific, non-generalized use cases, like how modern speech-to-text uses that same probabilistic scoring to match utterances to token sequences to be pretty dang accurate (most of the time) without any per-speaker training.
Also helps see why it's so garbage for code/general shit/generative everything.
Replies (1)
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@funkatron@indieweb.social 2026-02-25 20:20
@KayOhtie@blimps.xyz same! I didn't absorb enough calculus in HS (Sorry Dr. Finke) to follow all of it, but a simple python implementation with clarity about the scale factors is _immensely_ helpful in understanding the technology.