That was an interesting take, but "probabilistic" is to me different from "random". In particular other field get error tolerances, LLMs give us nothing like that.
We're introducing chaos monkeys, not just variability.
That was an interesting take, but "probabilistic" is to me different from "random". In particular other field get error tolerances, LLMs give us nothing like that.
We're introducing chaos monkeys, not just variability.
Note that he's talking about the same nondeterminism in that post that we're talking about here.
From the linked comment
> Process engineers for example have to account for human error rates. [...] Designing systems to detect these errors (which are highly probabilistic!)
> Likewise even for regular mechanical engineers, there are probabilistic variances in manufacturing tolerances.
I read them as relatively confined, thus probabilistic. When a human pushes the wrong button, an elephant isn't raining from the sky. Same way tolerances are bounded.
When requesting a JSON array from an LLM, it could as well decide this time that JSON is a mythological Greek fighter.
I'm just saying, it's a cite to a thread about the implications of AI-based nondeterminism, just like this one. That's all.