siekmanj

Sooo ... the president is legally allowed to turn off my light switches or commandeer my phone, but does the infrastructure for him to do that exist?

That may be true, but that is a far cry from asymptotic

> someday we'll achieve a utopia wherein we'll be able to 3d print anything we want, and it won't be possible for governments to exist and we'll all live in libertarian paradise.

At least, that's what I got from him.

We know the brain is doing something - if you don't want to call it computation, then you might as well call it magic.

I've been working on a deep learning library in C, and have been thinking about optimizing it for embedded applications specifically.

https://github.com/siekmanj/sieknet

Other than that, I'm not sure if there are many libraries for machine learning on microcontrollers. Genann comes to mind:

https://github.com/codeplea/genann

Expect homeowner's insurance in coastal areas to rise, real estate prices to fall, and sales of AC to increase.

Thanks! Mostly it was out of a desire to learn more about the actual algorithms behind AI, and trying to figure out if it's a field I might enjoy working in. I really enjoy building things from the ground up, and understanding how each part works.

I think python is generally used for AI and data science stuff, so you'd probably be better off learning that.

That said, I think one of the best ways to learn how to do something is dive right into it. I'm currently in the process of writing a deep learning library in C: https://github.com/siekmanj/sieknet

So if you're dead set on C++, I'd say the best way is to try to build something cool right off the bat.

They're not, as far as I know. In fact, that was one of the big selling points of reinforcement learning - that it tends to reach a better minimum than GA.