71–80 of 88 posts
I just wish everyone read Summa Technologiae from Stanislaw Lem. This was obviously covered back in 1964, with the relevant implications. https://publicityreform.github.io/findbyimage/readings/lem.p...
Salient on the value of the verifier. Matches my experience in the last two quarters. Nice detail on the encountered failures. Very similar experiences with my own loops against testsuites. Great post. A snapshot in time.
> The frontier is the verifier. Um, yes? The big value that AMD had in the x86 market over competitors was their verification model. This has been known for decades. > 3-seed nextpnr P&R on a Gowin GW2A-LV18 (Tang Nano 20K) — median Fmax × CoreMark iter/cycle = fitness Every single "improvement" is basically about routing around how absolutely abysmally bad the Gowin FPGAs are. Kudos to that, I guess? Gowin FPGAs hav…
Assuming that your claims about GoWin FPGA flaws are correct, isn’t the point of this experiment that it was able to exploit these flaws without manual guidance?
In case you are unfamiliar with Karpathy's Loop[1], it is a genetic algorithm[2] where the genetic "mutations" are clever-but-random ideas generated by an LLM agent, aimed at improving a system. (1) Let the LLM randomly perturbate the system. (2) Measure the system's performance. (3a) If the perturbation improved performance, keep the change. (3b) Otherwise, don't. (4) Repeat [1] https://github.com/karpathy/autoresea…
Lol, I respect karpathy a lot, but this is such an obvious in your face idea that it is laughable to put someone’s name on it. What’s next “karpathy investing” where ai in a loop builds a portfolio?
In case you are unfamiliar with Karpathy's Loop[1], it is a genetic algorithm[2] where the genetic "mutations" are clever-but-random ideas generated by an LLM agent, aimed at improving a system. (1) Let the LLM randomly perturbate the system. (2) Measure the system's performance. (3a) If the perturbation improved performance, keep the change. (3b) Otherwise, don't. (4) Repeat [1] https://github.com/karpathy/autoresea…
Lol, I respect karpathy a lot, but this is such an obvious in your face idea that it is laughable to put someone’s name on it. What’s next “karpathy investing” where ai in a loop builds a portfolio?
In case you are unfamiliar with Karpathy's Loop[1], it is a genetic algorithm[2] where the genetic "mutations" are clever-but-random ideas generated by an LLM agent, aimed at improving a system. (1) Let the LLM randomly perturbate the system. (2) Measure the system's performance. (3a) If the perturbation improved performance, keep the change. (3b) Otherwise, don't. (4) Repeat [1] https://github.com/karpathy/autoresea…
Lol, I respect karpathy a lot, but this is such an obvious in your face idea that it is laughable to put someone’s name on it. What’s next “karpathy investing” where ai in a loop builds a portfolio?
this is great! Exactly what i was looking for!
Earlier quoted context omitted.
Lol, I respect karpathy a lot, but this is such an obvious in your face idea that it is laughable to put someone’s name on it. What’s next “karpathy investing” where ai in a loop builds a portfolio?
I'd go a step further and say that sort of loop is probably the first thing most people who play around with agent harnesses try, pretty much the first "Hmm, what should I do now?" thing that pops into people's head.