Insanity
4 hours ago
Trusting an LLM with a decision that can potentially be fatal is a good Darwin test I suppose.
Sadly I don’t think the general populace understands that LLMs are unreliable. (And even people in tech can vastly overestimate the capabilities.. at least judging by the insane spending on them).
rspeele
4 hours ago
> ...even people in tech can vastly overestimate the capabilities...
I think people in (software) tech are currently more prone to overestimate the capabilities, because LLMs in a harness are genuinely excellent at programming. Programming is the perfect LLM task since 1. it's symbolic manipulation, 2. there is a vast corpus of high quality training data, and 3. most mistakes can be harmlessly caught at compile-time or unit-test-time. Especially point 3 makes it so that just throwing more "effort" at a problem, something the machine is endlessly willing to do, virtually guarantees an improved result.
In contrast there is no way for the machine to write a unit test to double-check its work when what it's offering the user is a legal document, or a medical diagnosis, or a recommendation of "yep that mushroom is safe to eat".
I've often seen the "Gell-Mann Amnesia Effect" referenced with respect to LLMs. It is said that most people can tell the LLM is not great at their own subject of expertise, yet they still trust it for other subjects where they can't personally assess the quality of its answers. Imagine how bad this is when the LLM actually is great at the thing you have expertise in.