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Just like humans, AI needs a "reality" to check things against. If we don't provide that in an automated way, somehow, it will always make mistakes and we'd hav
by mettamage 3mo ago
Just like humans, AI needs a "reality" to check things against. If we don't provide that in an automated way, somehow, it will always make mistakes and we'd have to point it out. Since, at that point, we're just mediating with what reality gives us and what an AI should do with it.
AI doesn't have enough senses yet. It's trapped in a box.
- inigyou 3mo agoThe AI box experiment has been resolved. We let the AI out of the box if it promises to summarise and desummarise emails.
- deleted 3mo ago[deleted]
- shuwix 3mo agoThere's an old programming rule since 90's: By fixing a bug, 3 new bugs appear. I can imagine the quality of bug fixing by unsupervised (we save money by layoffs) halucinating AI at current state of development.
- zhengyi13 3mo agoThe way I learned it was: "99 bugs in the code, 99 bugs in the code... Fix one bug, compile it again, 101 bugs in the code!" (To the tune of 99 Bottles Of Beer)
- shuwix 3mo agoMayne the 99 bottles of beer explains it. But hey, one can't survive 1 week of step-by-step debugging without 99 bottles of beer.
- harrall 3mo agoI’d say it’s not so much senses but defining what success means. If you want to learn darts or perfect parallel parking for example, most of the increase in accuracy comes from simply but very deliberately pointing out to your brain where you wanted to land versus where it did land. We like to usually just do things and hope for the best. Defining success is not something we automatically do and naturally we don’t do it with AI either.