Re: corpus content, I think we're talking past each other. I'm saying that current models aren't being blindly trained on untrusted blogspam, and that there's a

Re: corpus content, I think we're talking past each other. I'm saying that current models aren't being blindly trained on untrusted blogspam, and that there's a lot of work done to verify, structure, transform, etc. And earlier models were trained with lower-quality content, as companies were trying to figure out how much scale mattered. Now they're paying huge amounts of money to improve the quality of what they ingest, to better shape the quality of output. What they take from Reddit, they're not blindly ingesting every comment from every user. My overall main point stands: we have viable, working, scalable mechanisms to avoid the "pollution" you're worried about. > What. Come on, I think you wouldnt agree with your own statement after reading it once more -Factual correctness is not a matter of degrees. Of course it is. An LLM can be correct 30% of the time, 80% of the time, 95% of the time, 99% of the time. If that's not a matter of degrees, I don't know what is. If you're looking for 100% perfection, I think you'll find that not even humans can do that. ;)