[jbjbjbjb]

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

[nomel]

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.

[dcre]

This is dead wrong: essentially the entirety of the huge gains in coding performance in the past year have come from RL, not from new sources of training data.

I echo the other commenters that proprietary code isn’t any better, plus it doesn’t matter because when you use LLMs to work on proprietary code, it has the code right there.

[bearjaws]

I will say many closed source repos are probably equally as poor as open source ones.

Even worse in many cases because they are so over engineered nobody understands how they work.

[bhadass]

yeah, but isn't the whole point of claude code to get people to provide preference data/telemetry data to anthropic (unless you opt out?). same w/ other providers.

i'm guessing most of the gains we've seen recently are post training rather than pretraining.

[typ]

I'd bet, on average, the quality of proprietary code is worse than open-source code. There have been decades of accumulated slop generated by human agents with wildly varied skill levels, all vibe-coded by ruthless, incompetent corporate bosses.

[andai]

Let's start with the source code for the Flash IDE :)

[wvenable]

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?

[nmstoker]

If you come up with a realistic language spec and wait maybe six months, by then it'll probably be approach being cheap enough that you could test the scenario yourself!

[luke5441]

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?

[nlawalker]

I see that as the point that all this is proving - most people, most of the time, are essentially reinventing the wheel at some scope and scale or another, so we’d all benefit from being able to find and copy each others’ homework more efficiently.

[computerex]

And the goal post shifts.

[kreelman]

..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?