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the commits are very fine grained and the text is unusually not AI.

I mean you can beat AI to do anything nowadays, but this looks not that bad


I'd argue nobody writes such long commit messages this consistently. I'm VERY sure this is fully AI generated.


The volume of commits is quite crazy. For example, he wrote a +486/-51 commit in 20 minutes (33287cb) with quite dense rust code. That's about 25 changes per minute -- very impressive! The docs also smell of LLM output, for example describing the app as native despite using egui/wgpu.

But hey, he's here, we can just ask him! @earcar


What about egui and wgpu is not native? Those are both generally what is considered running something natively. Both even mention running "natively" in their descriptions.

I guess what you mean is "OS-provided controls". In that case, ye that is not what this is.


until someone comes up with a non vibe coded one ill be happy having at least a fast option


I'm currently writing a compiler (forever garage project) the speed at which Claude is able to debug with gdb what was wrongly generated is insane. I had not much prior expertise so maybe a professional in the field would be able to do it faster, but now people new to the field are able to debug at a very fast pace as well. It looks at ask code generated, understands llvm, can read and instrument gdb, all for 15$ a month


How big is your TF state on your routers?

Yeah, TF is slow if you have thousands of configs and batching not integrated in the provider.


I recently just referenced the selective applicative functors paper and let it write me an implementation in scala. There is one already available in github, so I can't judge if it really just read the paper and implemented it, but the result was so minimal quick and amazing.


Well if you can't judge, doesn't it make your comment completely useless?


No, I don't think OP's comment is useless. It's not just a blanket statement, "Wow, LLM's quick", but also critically reflective, like a brief limitations section. This opens the discussion, by indirectly posing questions like, "Is it really this fast or "cheating"? How could we measure this experimentally? Etc.


It's useless because this is not novel at this point, its literally everyone posting on HN - I did a thing with an LLM but idk if its good! That doesn't open up the discussion, it retreads the exact same discussion that both sides are not listening to each other on.


LLMs are black boxy, its not like I can inspect the used weights of a prompt and judge the source of those weights.


whats keeping you from upgrading?


mitchell hashimoto https://github.com/mitchellh/vouch implemented this idea


how is duckduckgo using us?


duck shoves AI results down my throat no matter how many times I say no. And they are getting more aggressive with their ads.


DDG does offer a non-ai "mode" at https://noai.duckduckgo.com/


if they succeed nothing will change for you


If they succeed the software will be more reliable with less memory issues that are very likely significant security issues at least some of the time.

When we've seen linux having a new significant exploit every other day now thanks to LLMs being better at weaponizing memory bugs this seems significant.


maybe its tokens instead of time now? bun has access to an unlimited amount of it


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