[quacked]

The thing that annoys me about AI discourse is that AI is a mathematical technique of rapidly increasing efficacy, and yet everyone personifies it. It would help if every time someone said "AI" they supplemented "a mathematical method where extensions onto a very large corpus of information are statistically simulated".

It's not true that "AI makes mistakes" or "ChatGPT is sycophantic". It's just that sometimes the simulated extensions to the training material are accurate, and sometimes they're not.

[hawkice]

I think this draws too strong a line between the matrix-math core and the harness that uses it. Those harnesses undoubtedly were built with purpose and the systems fail to achieve that goal. Common usage says the the DMV can make mistakes, like any systems, despite the DMV itself not being a person (and it is common to allege large organizations make mistakes even when no specific individual is making an identifiable mistake). This isn't person-language it's systems/purpose-language.

[quacked]

I understand and somewhat agree with your point, and might have phrased my comment differently. I think my main point is that experts aren't always going to beat "a dynamically simulated extension onto the training material". Often they will, maybe even usually, but sometimes they won't, and I feel like the people in this thread insisting that the experts will always know better are thinking about a competition between experts and a crazy robot instead of a competition between experts and math.