[jordanb]

I feel like the invariant with "AI" is the software engineer saying "with enough data and statistics I can not understand the problem domain." It's fundamentally a rejection of expertise.

Take weather prediction for instance. This is something that the AI companies are pushing hard on. There are very good physics-based weather prediction models. They have been improved incrementally over many years and are probably pretty close to the theoretical peak accuracy given the available initial state data. They are run by governments and their output is often freely accessible by the public.

So firstly, where on earth is the business model when your competition is free?

Secondly, how do you think you will do better than the current state of the art? Oh yeah, because AI is magic. All those people studying fluid dynamics were just wasting their time when they could have just cut a check to nvidia.

[munksbeer]

> I feel like the invariant with "AI" is the software engineer saying "with enough data and statistics I can not understand the problem domain." It's fundamentally a rejection of expertise.

Nature doesn't understand the problem domain, and yet it produced us. Capable of extraordinary achievments.