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jbjbjbjbyesterday at 11:20 PM4 repliesview on HN

It’s cool but there’s a good chance it’s just copying someone else’s homework albeit in an elaborate round about way.


Replies

nomelyesterday at 11:43 PM

I would claim that LLMs desperately need proprietary code in their training, before we see any big gains in quality.

There's some incredible source available code out there. Statistically, I think there's a LOT more not so great source available code out there, because the majority of output of seasoned/high skill developers is proprietary.

To me, a surprising portion of Claude 4.5 output definitely looks like student homework answers, because I think that's closer to the mean of the code population.

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wvenabletoday at 12:28 AM

This is cool and actually demonstrates real utility. Using AI to take something that already exists and create it for a different library / framework / platform is cool. I'm sure there's a lot of training data in there for just this case.

But I wonder how it would fare given a language specification for a non-existent non-trivial language and build a compiler for that instead?

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kreelmantoday at 12:53 AM

..A small thing, but it won't compile the RISCV version of hello.c if the source isn't installed on the machine it's running on.

It is standing on the shoulders of giants (all of the compilers of the past, built into it's training data... and the recent learnings about getting these agents to break up tasks) to get itself going. Still fairly impressive.

On a side-quest, I wonder where Anthropic is getting there power from. The whole energy debacle in the US at the moment probably means it made some CO2 in the process. Would be hard to avoid?

luke5441yesterday at 11:37 PM

It looks like a much more progressed/complete version of https://github.com/kidoz/smdc-toolchain/tree/master/crates/s... . But that one is only a month old. So a bit confused there. Maybe that was also created via LLM?

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