All school work that's actually important, and especially that's trying to evaluate understanding, must be done in environments where LLM use is structurally impossible.
15 karma · joined August 21, 2020
Also, if you want me to believe that LLMs have made you that much more productive, please share some links for useful things you've built recently using them. I'm thrilled if actual things can be made, but I haven't seen it yet.
> It's fully general, but it's also furiously ambiguous. Humans fall back to natural language when no other more precise way to describe what we want is available to us, either because it doesn't exist or we don't know it comfortably. We draw diagrams and blueprints and write math equations for a reason!
> But fundamentally any metaphor will be inadequate, LLMs are too weird. It doesn't make sense to compare a transformer-based deep neural network that autoregressively generates language tokens based on their embedding in a high-dimensional semantic space to really anything that's ever existed.
You might not have read the full post ha