Is it possible to meta-learn this power?

Should I just add Schmidhuber as a coauthor on my papers, just to make sure he's receiving appropriate credit for the ideas I probably stole from him?

Semper Fi.

Half of all vet stuff is just a roundabout approach to military recruiting. The other half is jerking off politically. To within error, nothing's about actually helping the veterans themselves.

Between the less than advertised performance and the stories about literally melting the power cables, I think I'm gonna stick with my underclocked eBay 3090 for the time being.

Oh, no, I mean he submitted clearly plagiarized papers to academic journals, and also scammed people out of tuition money to attend worthless boot camps.

Ah yes, Siraj. Great guy, keep watching him, totally not a known scam artist and plagiarizer.

But no, you're not going to find anyone going into the nitty-gritty of research papers in a manner that is both entertaining and educational.

As much as I'm a fan of Dr. Karoly Zsolnai-Feher, he focuses almost exclusively on flashy graphics, rendering, and control research, and does so at a very press-release-y level. If you actually want to learn about Machine Learning, Two Minute Papers isn't going to do that for you.

You're probably not gonna find many. Compare ML to, say, Thermodynamics, a similar technical field. Any "edutainment" videos are most likely not going to go that deep, and the videos that go that deep aren't going to be entertaining.

Just watch a lecture series or something, exercise your attention span.

"Computer Vision" on its own is already a fucking massive field though, covering generative modeling, scene understanding, edge hardware, and everything in between.

Yeah, but OpenAI is a media circus manufacturing company, not a research lab worth modeling yourself after.

It's called "schools telling bright kids to fuck themselves for arbitrary and absurd reasons," it's pretty common in the US.