hyttioaoa

That's what bugs me about him. So much work has gone into today's models that calling his contributions "the root" isn't really warranted. He's always complaining that Hinton, LeCun, and Bengio get more credit than they deserve, and now he's over-claiming himself.

My two most favorite and most seldomly seen colors are near uv. One of them is a blue sky at an altitude of over 3000m. The other was a powerful deep blue laser in a microscopy lab, just on the end of the visible spectrum

I've been thinking this for a while now as well. If they keep subsidizing for long enough there might be a large gap of humans that changes jobs, didn't get into the field in the first place. Then the only way out is to keep buying those tokens.

I often find myself using the gitlens in vscode, to do something similar. I'd compare the working tree to the common base. Then I have the left pane with what's already in the base, the right pane is editable with the result in it.

It's nice to have all the LSP features available too while editing.

He doesn't get to decide that. But he can decide what he wants to do, just as you can decide what to do with your time and resources.

Also, that very much sounds like the government knows best and citizens should just trust it unconditionally.

I went down a rabbit hole a few weeks back to discover this. I was so upset with so many wrong explanations including Neil de Grasse Tyson saying we're moving into the bulges.

it's very magical though discovering the beauty of it.

He published a whole paper providing a systematic analysis of a wide range of models. There's a whole section on that. So it's not specific to PINN.

"Generalized adversarial networks, or GANs, are a conceptual advance that allow reinforcement learning problems to be solved automatically." -

"Generalized" :D Also the description is nonsense. This has nothing to do with reinforcement learning. Makes me wonder about the rest.