{c}
{title2=1893-}
{wiki}

List of the sub-journals at: https://journals.aps.org/browse


Physical Review

Diamond

{wiki}

\Video[https://www.youtube.com/watch?v=ljF5QhD5hnI]
{title=Buckyballs (C60) by <Periodic Videos> (2010)}
{description=
Actually shows them in a lab!
* https://youtu.be/ljF5QhD5hnI?t=167 has a photo of the first effective production method, which passes a large current between two carbon rods
* https://youtu.be/ljF5QhD5hnI?t=245 and forward cuts (their editing is very annoying) shows how fullerene dissolves in an organic solvent TODO name, sounds like thodium? and produces a violet solution, while <graphite> doesn't. A https://en.wikipedia.org/wiki/Ultrasonic_cleaning[Ultrasonic bath] is needed for the solution to form however.
* https://youtu.be/ljF5QhD5hnI?t=501 fullerene is not a good lubricant despite being a little ball, because it is reactive and polymerises under pressure
}


Fullerene

Graphite

Draft by <Ciro Santilli> with cross language input/output test cases: https://github.com/cirosantilli/algorithm-cheat

By others:
* https://github.com/TheAlgorithms/Python


Algorithm cheatsheet

Data structure

{disambiguate=computer science}
{wiki}

= Recursion
{synonym}

= Recursive algorithm
{synonym}


Recursion

Recursion (computer science)

Sorting algorithm

String-search algorithm

{wiki}

An <algebra over a field> where <division> exists.


Division algebra

{c}

Basically ensuring that good <AI alignment> allows us to survive the singularity.


AI safety

{c}
{tag=Amazon custom silicon}

* 2020: Traininum in 2020, e.g. https://techcrunch.com/2020/12/01/aws-launches-trainium-its-new-custom-ml-training-chip/
* 2018: AWS Inferentia, mentioned at https://en.wikipedia.org/wiki/Annapurna_Labs


Amazon AI accelerator silicon

{c}
{tag=Google custom hardware}
{title2=TPU}
{title2=2015}
{title2=Google AI accelerator}
{wiki}


Tensor Processing Unit

Tesla Dojo

{c}
{tag=Electronics vendor}
{title2=2014}
{wiki}


Keysight

Agilent Technologies oscilloscope

{c}
{tag=Good video game to watch}
{wiki}

\Video[https://www.youtube.com/watch?v=q3J3WCpJtEo]
{title=Parsa's <Age of Empires II> Cartoons (2021)}
{description=The cutest <fan art> ever!}


Age of Empires II

{c}
{title2=SSPL}
{wiki}

Created by <MongoDB>, attempts to be even more restrictive than <AGPL> by more explicitly saying that indirect automatic requests are also included in the "you must give source" domain: https://opensource.stackexchange.com/questions/8025/difference-between-mongodb-sspl-and-gnu-agpl

The base use case is:
* client contacts <server> software, e.g. a <Python> program
* <Python> contacts the <database>, and returns results back to the client
which is what MongoDB is trying to ensure, which sounds fair.


Ciro Santilli @cirosantilli  40