[manoDev]

People are overestimating the value on having AI create something given loose instructions, and underestimating the value of using AI as a tool for a human to learn and explore a problem space. The bias shows on the terminology (“agents”).

We finally made the computer able to speak “our” language - but we still see computers as just automation. There’s a lot of untapped potential in the other direction, in encoding and compressing knowledge IMO.

[preommr]

Because that would mean AI isn't going to replace entire industries, which is the only way to justify the, not billions, but trillions in market value that AI leaders keep trying to justify.

[jamesmcq]

Exactly my thoughts - the value in AI is not auto-generating anything more than something trivial, but there's huge value in a more customized knowledge engine - a targeted, specific Google if you will. Get answers to your specific question instead of results that might contain what you were looking for if you slog through them.

AI is hugely beneficial in understanding a problem, or at least getting a good overview, so you can then go off and solve/do it yourself, but focusing on "just have the AI generate a solution" is going to hugely harm AI perception/adoption.

[themafia]

> AI create something

To have AI recreate something that was already in it's training set.

> in encoding and compressing knowledge IMO.

I'd rather have the knowledge encoded in a way that doesn't generate hallucinations.

[fsddd]

Problem space is rich. The thing doesnt actually know what a problem is.

The thing is incredibly good at searching through large spaces of information.

[consumer451]

42

[georgeecollins]

Right! It's like maybe the AI is more of a threat to the accounts payable person than the accounts payable software. At least in terms of head count.

[qudat]

100% agree. I’d add we are underestimating our contributions in making the code agents do the right thing as well.