zerodensity

Entanglement does not really work when the particles interact with the environment. In the brain this would be the other particles in the brain so any non-local quantum effects from particles outside of the brain would be miniscule at best.

Also the brain has computational capacity on the order of 10^18 if you include dendrite computation and only classical physics. That is a mind boggling number. Personally I don't think it's necessary to involve quantum mechanics in the function of the brain (even intracrainial), mainly because it already has all the computation that it needs.

Liked the write-up was a fun read.

But I really don't get the point of being anonymous on social media.

Well spying is a crime in most countries so saying that it is not a crime until it's detected is just wrong. My point was that crimes are still crimes even if they are not detected.

I mean of course china keeps tabs on the US. It's good to keep tabs on your investments.

By that logic random murders are also not crimes until you get caught.

So Europe is to authoritarian for your liking so you go to China very interesting strategy.

I dunno I like this proposal. So at least one person wants it.

Where would you go?

If it's truly "any" kind of Numpy array typing won't help much there I agree.

But often it can be helpful to know the shape of the input and the shape of the output. Eg are we working with a 2D,3D or ND array.

Before 3.11 it was not simple (possible?) To type this. But https://peps.python.org/pep-0646/ makes it possible. If somewhat clunky on the definition side.

I also maintain a large python codebase at work, typing makes things simpler. For example using pydantic 90% of serialization code just goes away. Mypy eliminates a large number of bugs. Also when working with multiple people in the same codebase typing makes intent so much clearer. The type system itself is not perfect but it's a clear improvement of not having it at all.

Could you give an example of a type of application where typing is a hindrance?

The only thing that can potentially make less technical dept is code reviews eg forcing multiple people to look at every new piece of code preferably also have automated tests and CI.

The code can have comments or not, it's more of a preference.

Just because python makes sense for ML does not mean that it's primarily used for ML.

I can see that a huge part of the ML space is in python. But is the ML space really such a large community? I mean in the companies I have worked for maybe 1 team in a 100 work with some ML stuff while a large majority of the rest come in contact with web/devops/unix scripting. Granted non ML work takes place in many different languages but python is used alot there.

WASM does not support capability based security that is something of an extension to the WASI proposal.

And even then the security stuff is based on previously existing work in the cloud space. Which has existed for some time but is not widespread.

If something fits either Microsoft Teams or AWS and is successful for some other product they will copy it way before any competing closed source opens up. Not doing so will be bad for business.