Comment on I Went All-In on AI. The MIT Study Is Right.

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MangoCats@feddit.it ⁨1⁩ ⁨week⁩ ago

I’ll put it this way: LLMs have been getting pretty good at translation over the past 20 years. Sure, human translators still look down their noses at “automated translations” but, in the real world, an automated translation gets the job done well enough most of the time.

LLMs are also pretty good at translating code, say from C++ to Rust. Not million line code bases, but the little concepts they can do pretty well.

On a completely different tack, I’ve been pretty happy with LLM generated parsers. Like: I’ve got 1000 log files here, and I want to know how many times these lines appear. You’ve got grep for that. But, write me a utility that finds all occurrences of these lines, reads the time stamps, and then searches for any occurrences of these other lines within +/- 1 minute of the first ones… grep can’t really do that, but a 5 minute vibe coded parser can.

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