Post #1286703

If there is any place for LLMs in my work it's one that: * Is 100% locally hosted. * Does not place trust in the model (somewhat equivalently, solves a problem to which existing solutions are also fallible). * Does not allow model output to contaminate my codebase. I think this is possible for some niche uses: basically, fuzzy context-aware lint. As an example, I pushed in the float library source and the relevant docs. It found a bad register allocation in the f32 to i64 conversion (not yet tested). It also went down a dumb rabbit hole with the f32 to u64 conversion, and when prompted with "I don't think that's right" it generated a couple of plausible-looking execution traces with reference to the documentation for the new shift instructions, and concluded it was fine. Overall I'm not sure if that was a good use of my time or not. I would have hit the bad allocation as soon as I tested that routine, but it might have taken me a couple minutes to debug. I'm still not sure where I stand on being complicit in models' creation by using them locally. tl;dr normal clanker skepticism service will be resumed shortly