Ciro Santilli @cirosantilli 37

Most of the helium in the Earth's atmosphere comes from alpha decay, since helium is lighter than air and naturally escapes out out of the atmosphere.

Wiki mentions that alpha decay is well modelled as a quantum tunnelling event, see also Geiger-Nuttall law.

As a result of that law, alpha particles have relatively little energy variation around 5 MeV or a speed of about 5% of the speed of light for any element, because the energy is inversely exponentially proportional to half-life. This is because:

Very good channel that gives some idea of the behind the scenes of working with card stores and secondary market trading.

Such lessons can have applicability in business and investment outside of the Magic The Gathering context as well. Yet another example that usefulness can come out of uselessness.

www.youtube.com/watch?v=qiMR6yAFfyA He obtained PhD from UCSB in Materials, exploring, among other things, growth of a semiconductor called lead selenide.

Aweseome dude filmed a bit of the high end univeresity equipment while doing his thesis.

The japanese name literally means:

Many people believe that knowledge graphs are a key element of AGI: Knowledge graph as a component of AGI.

Bibligraphy:

Looks very impressive! Last update marked 2011 as of 2020.

Goes up to "A.15 quantum field theory in a Nanoshell", Ciro have to review it to see if there's anything worthwhile in that section.

Personal page says he retired as of 2020: www.eng.fsu.edu/~dommelen/ But hopefully he has more time for these notes!

And he appears to have his own lightweight markup language that transpiles to LaTeX called l2h: www.eng.fsu.edu/~dommelen/l2h/

A quote by Ciro's Teacher R.:

If the goals are not ambitious enough, you risk not even having useful side effects so show in the end!

By doing the prerequisites of the impossible goal you desire, maybe the next generation will be able to achieve it.

This is basically why Ciro Santilli has contributed to Stack Overflow, which has happened while was doing his overly ambitious projects and notice that all kinds of basic pre-requisites were not well explained anywhere.

This is especially effective when you use backward design, because then you will go "down the dependency graph of prerequisites" and smoothen out any particularly inefficient points that you come across.

Going into such productive procrastination is also known informally as yak shaving.

There are of course countless examples of such events:

The danger of this approach is of course spending too much time on stuff that will not be done enough times to be worth it, as highlighted by several xkcds:

TODO arguments, proofs

Is this the one?

Generalization of AlphaGo Zero that plays Go, chess and shogi.

www.quora.com/Which-chess-engine-would-be-stronger-Alpha-Zero-or-Stockfish-12/answer/Felix-Zaslavskiy explains that it beat Stockfish 8. But then Stockfish was developed further and would start to beat it. We know this because although AlphaZero was closed source, they released the trained artificial neural network, so it was possible to replay AlphaZero at its particular stage of training.

Implies antisymmetric multilinear map.

AMD GPUs as mentioned at: aws.amazon.com/ec2/instance-types/g4/

This is hot shit, a possible worst case but sure to get there scenario to understand the brain!