Ciro Santilli @cirosantilli 37

Very raw. Easy to understand. Relatively well organiezd. But also very buggy at 3ab8d9f849a1cdf2985a8d123b1893f0fd4e79ab: github.com/Varun-Hegde/Conduit_NodeJS/issues/3, I just can't trust it. There must be several helper libraries that would greatly DRY up the repetitive CRUD. Ciro hates the style :-) 4 space indents, no space after commas, no semicolon. Not based on github.com/gothinkster/node-express-realworld-example-app which is essentially one of the reference implementations, so from scratch apparently, which is a bad sign.

Whichever problem you present a German, they will look for a mechanical solution to it!

Output:and no empty lines as desired.

Bibliography:

esolangs.org/wiki/Y86 mentions:

One specification at: web.cse.ohio-state.edu/~reeves.92/CSE2421sp13/PracticeProblemsY86.pdf

TODO evaluate. No pip install???

Behavior fully described by quantum electrodynamics.

What you would see the moving rod look like on a photo of a length contraction experiment, as opposed as using two locally measured separate spacetime events to measure its length.

Ciro Santilli is a fan of this late 2010's buzzword.

It basically came about because of the endless stream of useless software startups made since the 2000's by one or two people with no investments with the continued increase in computers and Internet speeds until the great wall was reached.

Deep tech means not one of those. More specifically, it means technologies that require significant investment in expensive materials and laboratory equipment to progress, such as molecular biology technologies and quantum computing.

And it basically comes down to technologies that wrestle with the fundamental laws of physics rather than software data wrangling.

Computers are of course limited by the laws of physics, but those are much hidden by several layers of indirection.

Full visibility, and full control, make computer tasks be tasks that eventually always work out more or less as expected.

The same does not hold true when real Physics is involved.

Physics is brutal.

To start with, you can't even see your system very clearly, and often doing so requires altering its behaviour.

For example, in molecular biology, most great discoveries are made after some new technique is made to be able to observe smaller things.

But you often have to kill your cells to make those observations, which makes it very hard to understand how they work dynamically.

What we would really want would be to track every single protein as it goes about inside the cell. But that is likely an impossible dream.

The same for the brain. If we had observations of every neuron, how long would it take to understand it? Not long, people are really good at reverse engineering things when there is enough information available to do so, see also science is the reverse engineering of nature.

Then, even when you start to see the system, you might have a very hard time controlling it, because it is so fragile. This is basically the case of quantum computing in 2020.

It is for those reasons that deep tech is so exciting.

The next big things will come from deep tech. Failure is always a possibility, and you can't know before you try.

But that's also why its so fun to dare.

Stuff that Ciro Santilli considers "deep tech" as of 2020:

In leanpub you write your book in a markdown variant they call Markua, marketed as "markdown for books".

TODO is there a reference implementation that runs locally for HTML output? Or the only reference implementation is closed under leanpub?

Spec: markua.com/

A squeezed coherent state of light.

Oh, and if it weren't enough, mathematicians have a separate name for the damned nabla symbol : "del" instead of "nabla".

TODO why is it called "Del"? Is is because it is an inverted uppercase delta?