I know plenty of girls with full beards. And plenty of guys who can’t grow them. It’s not common, sure, but a female perp could just get a fake beard if we go by the gender presentation on a license.

I stand by my statement.

The license already has a picture. Neither sex nor gender provide any value in identification, and have lead to misidentification of cis people too.

It is amazing how human CEOs manage to surpass a 100% hallucination rate.

I don’t think he did it on purpose either, but the lead part is true. The Center for Environment Health did test it.

Don’t worry, I’m going to die to this fascism too.

You’re barking up the wrong tree. Most people in the state are incompetent, not evil. The problem is incompetence allows evil to thrive. I’ve never supported censorship, but I do support people getting consequences to their actions. Alex Jones has actively supported violence through lies, and actively sold poison with no recompense. If you think what he’s going through now is recompense… I’m sorry? But you’re wrong. He’s doing fine through his crocodile tears.

Please. Take care of yourself. And whomever in your community you have the power to take care of. We only get through this together.

The book was better, and completely unrelated. The movie is fun, but kind of a dumb action flick. It ignores most of the nuance Asimov would have had to make a movie you don’t have to think about. There’s nothing wrong with that, I just don’t prefer that, unless it’s what I signed up for, like with John Wick or something else obviously just action.

There’s a pretty good series of episodes on the podcast Behind The Bastards. Including how he sold high in lead content supplements for years. That actually might be brilliant though, as lead increases violent tendencies and reduces cognitive function, which will prevent his customer base from realizing he’s just making shit up and trying to make them mad.

It’s good. Thanks for correcting yourself. :3

The graphs struck me as weird when learning as I expected the input and output nodes to be neuron layers as well… Which they are, but not in the same way. So I frequently miscounted myself while learning, sleep deprived in the back of the classroom. ^^;;

There are ways to estimate a little more accurately, but the amount of fine tuning that is guesswork and brute force searching is too damn high…

Simplest multilayer perceptron*.

A neural network can be made with only one hidden layer (and still, mathematically proven, be able to output any possible function result, just not as easily trained, and with a much higher number of neurons).

… 1957

Perceptrons. The math dates back to the 40s, but '57 marks the first artificial neural network.

Also 35 years is infancy in science, or at least teenage, as we see from deep learning’s growing pains right now. Visualizations of neural network responses and reverse engineering neural networks to understand how they tick predate 2010 at least. Deep Dream was actually built off an idea of network inversion visualizations, and that’s ten years old now.

When you’re working at the algorithm level, you get funny looks… Even if it gets to state of the art results, who cares because you can throw more electricity and data at it instead.

I worked specifically on low data algorithms, so my work was particularly frowned upon by modern ai scientists.

I’m not doxxing myself, but unpublished work of mine got published in parallel as Prototypical Networks in 2017. And everyone laughed (<- exaggeration) at me researching RBFs which were considered defunct. (I still think they’re an untapped optimization.)

So called because the toast in military kitchens were nicknamed shingles, as in roofing tiles. Evocative of bad cooking, which I’m betting was rampant.

Honestly, shit on a shingle (s.o.s. appropriately) is better than it sounds, even when not referred to under that name. But it’s definitely a comfort food. It’s not good for you, it’s just creamy, beefy, and starch. Inoffensive, cheap, and easy to make in bulk. (Kinda want some now.)

I love this analogy. May I steal it?