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>On the plus side, some software engineers save a couple minutes here and there with a slightly nicer autocomplete, white collar workers can get some advice on
by vonneumannstan 2y ago
>On the plus side, some software engineers save a couple minutes here and there with a slightly nicer autocomplete, white collar workers can get some advice on email style, and maybe it helps with sifting through millions of pages of legal discovery.
Lol get a grip. Jeff Dean just said 25% of the code being checked into Google's internal codebase is now AI generated. If you think it's just kids using it for homework and engineers saving a few minutes here and there you're kidding yourself.
https://www.dwarkeshpatel.com/p/jeff-dean-and-noam-shazeer https://www.dwarkeshpatel.com/p/jeff-dean-and-noam-shazeer
>I am hopeful for some of the more advanced applications, e.g. proof assistance in math,
"I expect, say, 2026-level AI, when used properly, will be a trustworthy co-author in mathematical research, and in many other fields as well." You just aren't in the same universe as what the top experts are saying about this tech.
https://unlocked.microsoft.com/ai-anthology/terence-tao/ https://unlocked.microsoft.com/ai-anthology/terence-tao/
You seem like one of those people that used GPT3.5 once and hasn't updated at all since then. You're criticizing the wright flyer and we're already at turboprops.
- clownpenis_fart 2y ago[dead]
- archagon 2y ago> Jeff Dean just said 25% of the code being checked into Google's internal codebase is now AI generated. This assertion feels misleading. When I worked at a FAANG, 10% of our codebase was generated Protobuf. Obviously, this was highly repetitive boilerplate that was equivalent to maybe a few thousand actual lines of code. What does the 25% of LLM-generated code actually look like? I'm guessing it's doing nothing particularly novel or interesting. (Also, I have to wonder if a large chunk of that 25% could be encapsulated as a more reliable and deterministic abstraction.)