[amelius]

Huh, control theorists always try to rigorously prove the stability and performance of their algorithms. AI seems to be the opposite of that: just let the black box solve it and don't worry about any problems, we'll just add more training data if they happen!

[FirmwareBurner]

Yes! Let's spend 100x the resources on AI to do what a PID controller or Kalman filter can do.

[ethbr1]

I’m less scared about 100x the resources (in most applications) in exchange for decreasing programmer time / need.

What worries me far more is the lack of formalism around risk / boundary cases by undertrained teams using modern AI solutions.

Anyone building on top of a thing should either understand (a) how it’s built in detail or (b) its specifications and behavior in detail.

Most of these teams understand neither about LLMs.

[FirmwareBurner]

>Most of these teams understand neither about LLMs.

That's where my 100x comes from, not from the dev effort but from the debugging of issues of an unknown black box.