

I think we’re on the same page with this, but agree to disagree on functional determinism being a semantic argument in the context of this thread.
wiki-user: car


I think we’re on the same page with this, but agree to disagree on functional determinism being a semantic argument in the context of this thread.


Functionally non-deterministic if we compare the same input with outputs over a short enough period.
Deterministic if you have infinite time to run the gamut of model weights against temperature/creativity/programmed randomness, but even then maybe not if floating point math is taken into account. I don’t know where the current thought is on extreme precision being deterministic or not given cloud environments, local operating and environmental factors, variance in manufacturing, and the like.


Think like a manager:


If there’s some collusion, sure, but you’d have to find a government body with the will and teeth to prosecute.
Nothing really against charging whatever you feel like outside of things like certain supplies during disasters. It’s shitty


I can’t wait until we unlock custom AI training micro transactions where you can influence what a ChatGPT or Copilot user sees for the low low fee of $15 per KB of supplied data plus $.01 per token referenced.


You can’t collect per diem or get credit card points from a virtual conference though. Think of their bank accounts!
I’d argue repeatability is impossible to guarantee. Any cloud based computing with floating point math is subject to variance. Bare metal local LLM computing can be relatively stable, but still suffers from precision error from your GPU.