Rishav

@inthehands@hachyderm.io are these developers in the room with us right now? :P also in the interest of not seeming too snarky, I will be a reply guy. I know that this is your account and you can post whatever you want; and I probably even agree with what you’re actually trying to say, but I’m not sure constructing trivial strawmen is a good-faith mechanism when trying making a genuine argument

@malstrom@metalhead.club @pseudonym@mastodon.online that’s an interesting claim. I don’t know enough about LLM research to make a judgement. I do know that LLMs trained on synthetic (other LLM-generated) data tend to perform worse, but have we reached the limits of what LLMs are capable of? In my limited understanding, if an LLM can “learn” fundamental programming “concepts” (the same way they can “learn” concepts across human languages — I could be wrong in my understanding here), they should (might?) be able to transfer/apply those concepts to not-before-seen domains (maybe with a bit of “reasoning” prodded in).

@pseudonym@mastodon.online is the problem the increased volume of code that the LLM is producing (as compared to the junior dev) — what you are calling “productivity gains"? because I can see this same argument being made for code produced by humans as well.

@bagder what a flex ❤️

@mizoraman@biodiversity.social congratulations!

@s3thi@fantastic.earth great post! Would like to read more about your music discovery process, as someone who relies on Apple Music’s (I believe human-curated) genre playlists.

@grawity@social.treehouse.systems @ifixcoinops@retro.social someone help me with how to get an ASN in India 😭