[richardw]

You can't depend on it at all. I mean, you can use it for a tremendous amount of work, but until there is a way to constrain the bullshit LLM's can't be used for anything that requires a correct answer.

The terms "depend" and "require" there are the hard versions. You can't send people to the moon on the outputs of LLM's.

[roenxi]

I think we'll solve that problem for LLMs before we solve it for humans. Data analysts produce a lot of garbage; data work is really hard. In fact, it isn't uncommon in my experience for the data analyst to be the only person saying "hang on, the quality of this reporting isn't good enough for the decisions you're making from it!" - because they understand what useful information looks like and the company doesn't have much of it.

[paulsutter]

This is sheer cope

The tools are good for certain tasks and getting better. Master these tools and be ready for what released in the coming months and years

You are either at the center turning the wheel, or you’re on the outside getting spun

[Fauntleroy]

These tools are great at generating text responses, some of which are usable, but not analysis. We're actually far from that. I'm not sure why some people are out here pretending this is not the case.

[richardw]

You haven't the vaguest fucking idea what I'm doing with the tools so put up a logical argument on the facts instead of just generating tokens in some way that attempts to play the person and not the ball.

Here, argue with Yann, who makes a statement about how language isn't enough to produce a mind: https://twitter.com/ylecun/status/1768353714794901530

[paulsutter]

lol enjoy your battle