Zygote.jl VS thgtoa

If you look at Julia open source projects you'll see that the projects tend to have a lot more contributors than the Python counterparts, even over smaller time periods. A package for defining statistical distributions has had 202 contributors (https://github.com/JuliaStats/Distributions.jl), etc. Julia Base even has had over 1,300 contributors (https://github.com/JuliaLang/julia) which is quite a lot for a core language, and that's mostly because the majority of the core is in Julia itself.

This is one of the things that was noted quite a bit at this SIAM CSE conference, that Julia development tends to have a lot more code reuse than other ecosystems like Python. For example, the various machine learning libraries like Flux.jl and Lux.jl share a lot of layer intrinsics in NNlib.jl (https://github.com/FluxML/NNlib.jl), the same GPU libraries (https://github.com/JuliaGPU/CUDA.jl), the same automatic differentiation library (https://github.com/FluxML/Zygote.jl), and of course the same JIT compiler (Julia itself). These two libraries are far enough apart that people say "Flux is to PyTorch as Lux is to JAX/flax", but while in the Python world those share almost 0 code or implementation, in the Julia world they share >90% of the core internals but have different higher levels APIs.

If one hasn't participated in this space it's a bit hard to fathom how much code reuse goes on and how that is influenced by the design of multiple dispatch. This is one of the reasons there is so much cohesion in the community since it doesn't matter if one person is an ecologist and the other is a financial engineer, you may both be contributing to the same library like Distances.jl just adding a distance function which is then used in thousands of places. With the Python ecosystem you tend to have a lot more "megapackages", PyTorch, SciPy, etc. where the barrier to entry is generally a lot higher (and sometimes requires handling the build systems, fun times). But in the Julia ecosystem you have a lot of core development happening in "small" but central libraries, like Distances.jl or Distributions.jl, which are simple enough for an undergrad to get productive in a week but is then used everywhere (Distributions.jl for example is used in every statistics package, and definitions of prior distributions for Turing.jl's probabilistic programming language, etc.).

I think julia has a lot going for it. I feel like autograd is one of the bigger ones given that it's a language feature basically (https://github.com/FluxML/Zygote.jl for reference). I think the ecosystem is a bit of an uphill battle though.

Also check out https://github.com/FluxML/Zygote.jl which is the AD engine

> There's sadly no performant autodiff system for general purpose Python.

Like there is for general purpose Julia? (https://github.com/FluxML/Zygote.jl)

Thanks again. Like you said it is fun to dream (ask the "Scheme Machine" guys sometime about how they would go about it now), but practically with technology like Julia's Zygote:

https://github.com/FluxML/Zygote.jl

the efficiency of autodiff might be similar to that of an opcode anyway.

So, how did DEC do on the Alpha processor? I always heard good things about it--IIRC it was based on the VAX, but 64 bit. I learned PDP-11 assembler at RPI, during their college program for high school students in about 1984. We hand assembled code and really got to know the architecture.

and make that computable. It seems like line 88 --> 90 of this file in Zygote does that: https://github.com/FluxML/Zygote.jl/blob/master/src/compiler/chainrules.jl

It's super powerful

For example Zygote.jl (https://github.com/FluxML/Zygote.jl) implements reverse mode automatic differentiation, by defining a function that is a generated transformation of the function being differentiated.

Some of the anonymous advice here is pretty poor and recommends centralized services that require some level of identification.

If you actually need to be anonymous the daunting but doable tactics on https://anonymousplanet.org/ are a much better bet.

There is no single resource, but personally this is the most comprehensive I know of: https://anonymousplanet.org/

Anyways, maybe this site? https://anonymousplanet.org/

Said you shouldn't download Signal because it makes you stand out and attracts attention. Source: https://www.youtube.com/watch?v=IWMZ17Iyu3o Said that you shouldn't use ANY two factor because they're designed to track you, even software 2FA. Source: https://www.youtube.com/watch?v=ChKpf5HjcSY (He also says in this video that it's okay to let Google collect data about you as long as they don't tie it to a real world identity, even though the more data you give Google, the easier they can ID you.) Said that you should keep a "real identity" where you "pretend to be a sheep." Make Google searches for things you don't believe in, post tweets/statuses that you don't actually believe but perpetuate the prevailing narrative. AKA: look like you agree with the masses. Meanwhile, keep a second anonymous identity. (Source: https://www.youtube.com/watch?v=A8lHsIf6aA8) This is incredibly stupid. First, it doesn't work (source: https://lifehacker.com/generating-a-bunch-of-internet-noise-isnt-going-to-hi-1793898833), second you can easily burn an "anonymous" identity by accident and now it's linked to your real identity. True digital anonymity is almost (not 100%, but damn near) impossible. (Source: https://anonymousplanet.org/) His entire VPN video is just riddled with bullshit like saying that VPNs block email, block monetization, and that it's better to use a server in the US because of 4th Amendment Protections (worked so well in the past, right?) (Source: https://www.youtube.com/watch?v=OHfVPgLMMUQ). He then goes on to sell a "VPN router" in his shop that routes all your traffic over Tor - which means that your home internet may be slow, many common websites will probably block you, and as soon as you sign into anything you've lost all anonymity.

3) Said that you should keep a "real identity" where you "pretend to be a sheep." Make Google searches for things you don't believe in, post tweets/statuses that you don't actually believe but perpetuate the prevailing narrative. AKA: look like you agree with the masses. Meanwhile, keep a second anonymous identity. (Source: https://www.youtube.com/watch?v=A8lHsIf6aA8) This is incredibly stupid. First, it doesn't work (source: https://lifehacker.com/generating-a-bunch-of-internet-noise-isnt-going-to-hi-1793898833), second you can easily burn an "anonymous" identity by accident and now it's linked to your real identity. True digital anonymity is almost (not 100%, but damn near) impossible. (Source: https://anonymousplanet.org/)

Oh I thought bit launch was some bit exchange/management company or software, so I guess you see why I was telling you to isolated it to an incognito session+VPN. When you exit an incognito session it wipes all cookies, browser storage, etc for that session. However, I think you have to completely close the session, if you have more tabs open that data is probably still around until you completely close the browser. That's why if you use a second browser you're even more safe because you will think of it as a separate "thing" in your mind and be sure to manage it separately. Tor browser is a notch above that. If you don't resize it, you look like a million other tor-browser sessions (yes your browser reports it's "size" back to servers so they can figure out how to space things, and lots of times to finger print you). VPN gives you another layer in that it hides your IP (make sure to go to dnsleak.com and make sure you dns queries aren't leaking to your ISP's nameserver). This document is a bit paranoid, but I feel it has some good info and more than I am gonna type lol. https://anonymousplanet.org/ take from it what you need.

If you want to read more about censorship techniques employed by the Indian government (or any place) in general: Read 1 2

This is an interesting guide to become anonym: https://anonymousplanet.org/