> ... who recently converted Bun code from Zig to Rust via Claude ...

The project that is full of bugs and not really working?

I probably missed something but I was under the impression that even a "simple" translation like that couldn't be properly done and that the result was, well, buggy?

Where's that thing at?

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terhechte 13 hours ago | parent [-]

Its working fine; to the detriment of the whole club of stochastic parrot folk

https://news.ycombinator.com/item?id=49069787

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aureate 13 hours ago | parent | next [-]

> Most likely next Tuesday we’ll do the release of 1.4.

Next Tuesday, otherwise known as last Tuesday. Still no 1.4 at https://bun.com/blog.

I'm very curious to see what happens when 1.4 does get released for real. Releasing Claude Code on it is much easier as they own Claude Code and can get Claude to work on Bun with fixing some specific behaviour in Claude Code as an objective. Releasing it for the world, and doing it well enough that it doesn't result in everyone pinning on the old version and forks springing up, involves reproducing all the behaviours of the old version, documented/tested and otherwise, that projects are relying on - which, by Hyrum's law, is all of them.

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solid_fuel 9 hours ago | parent | prev [-]

> to the detriment of the whole club of stochastic parrot folk

What an interesting and pointless way to refer to “experts who understand what an LLM actually is”

	▲	rcxdude an hour ago \| parent \| next [-]
		The people who refer to LLMs as stochastic parrots generally do so to imply significant limits on an LLMs ability, not as an abstract statement about the underlying mechanism of how they work. Probably the defining thing that is surprising about LLMs is that they do in fact gain significantly more capability than you would expect from such a simple underlying mechanism!
	▲	nl 6 hours ago \| parent \| prev [-]
		The concept of "stochastic parrot" is that an LLM merely parrots its training data with some randomness. We now know that isn't true - LLMs build complex internal models and output based on that. See for example https://arxiv.org/html/2505.23323v1 Also, you are commenting on a post where a LLM made significant progress on the Riemann hypothesis. Even the most extreme interpretation of these results, ie claiming that it was "only linking existing literature" goes well beyond a "stochastic parrot" - it had to be able to link disparate insights across multiple fields.