Try giving a random human 30 chess moves and ask them to make a non-terrible legal move. Average humans even quite often try to make illegal moves when clearly seeing the board before them. There are even plenty of cases where people reported a bug because the chess application didn't let them do an illegal move they thought was legal.
And the sudden comparison to something that's safety critical is extremely dumb. Nobody said we should tie the LLM to a nuclear bomb that explodes if it makes a single mistake in chess.
The point is that it plays at a level far far above making random legal moves or even average humans. To say that that doesn't mean anything because it's not perfect is simply insane.
> And the sudden comparison to something that's safety critical is extremely dumb. Nobody said we should tie the LLM to a nuclear bomb that explodes if it makes a single mistake in chess.
But it actually is safety critical very quickly whenever you say something like “works fine most of the time, so our plan going forward is to dismiss any discussion of when it breaks and why”.
A bridge failure feels like the right order of magnitude for the error rate and effective misery that AI has already quietly caused with biased models where one in a million resumes or loan applications is thrown out. And a nuclear bomb would actually kill less people than a full on economic meltdown. But I’m sure no one is using LLMs in finance at all right?
It’s so arrogant and naive to ignore failure modes that we don’t even understand yet.. at least bridges and steel have specs. Software “engineering” was always a very suspect name for the discipline but whatever claim we had to it is worse than ever.