3 ms·
it was really good at some point last fall, solving problems that it had previously completely failed at, albeit after a lot of iterations via autogpt. at least
by stainablesteel 3y ago
it was really good at some point last fall, solving problems that it had previously completely failed at, albeit after a lot of iterations via autogpt. at least for the tests i was giving it which usually involved heavy stats and complicated algorithms, i was surprised it passed. despite it passing the code was slower than what i had personally solved the problem with, but i was completely impressed because i asked hard problems.
nowadays the autogpt gives up sooner, seems less competent, and doesnt even come close to solving the same problems
- anon115 3y agothis is exactly what I noticed too
- thelittleone 3y agoHamstringing high value tasks (complete code) to give forthcoming premium offerings greater differentiation could be a strategy. But in counter to this, doing so would open the door for competitors.
- wolpoli 3y agoThe question I have been wondering is if they are hamstringing high value tasks to creating room for premium offerings or are they trying to minimize cost per task.
- djmips 3y agoI think it's the latter. Reading between the lines on costs gives me the impression they have strived to lower computational costs. They already added a cap of 30 queries per 3 hours...