3 ms·
It's pseudo-understanding, but pseudo-understanding can still be useful, as we see with, say, image classification.
by TulliusCicero 4y ago
It's pseudo-understanding, but pseudo-understanding can still be useful, as we see with, say, image classification.
- alfalfasprout 4y ago100% I'm just noting that we're currently in a period where suddenly a lot of folks without the understanding of its limitations are experiencing something AGI-like for the first time. It feels a lot more competent than it could ever be. Once the limitations of what LLMs are really "competent" at are well-established we'll likely see a huge surge of use cases based on them. A lot of folks are too quick to claim the death of the knowledge worker though. Folks working in the ML space understand there's a much longer road ahead than we've even traveled down so far.
- emodendroket 4y agoThere's no doubt about that, but it is somewhat limited to cases where "close enough" is actually close enough (or it should be... the worst case is when these sorts of technologies are inappropriately deployed in scenarios where the level of certainty they can give is not enough).