| ▲ | ACCount37 15 hours ago | |||||||
The consequences of having the world's smartest people working on those things 24/7. Often, either the model itself gets improvements that render past scaffolding redundant, or your clever hacks to squeeze more performance out get obsoleted by official features that do the same thing better. | ||||||||
| ▲ | 1dom 12 hours ago | parent | next [-] | |||||||
I think this is specifically the consequence of smart people working in a bubble: there's no clearly defined problem being solved, and there's no common solution everyone's aiming for, there's just a general feeling of a direction ("AI") along with a pressure to get there before anyone else. It leads to the false feeling of progress, because everyone thinks they're busy working at the forefront, when in reality, only a tiny handful of people are are actually innovating. Everyone else (including me and the person you responded to) is just wasting time relearning new solutions every week to "the problem with current AI" . It's tiring reading daily/weekly "Advanced new solution to that problem we said was the advanced new solution last month", especially when that solution is almost always a synonym of "prompt engineering", "software engineering" or "prompt engineering with software engineering". | ||||||||
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| ▲ | doctorpangloss 8 hours ago | parent | prev [-] | |||||||
> The consequences of having the world's smartest people working on those things 24/7. haha, don't you worry, they are going to be back to working on ads - inside the chatbots - soon enough | ||||||||