We’re looking at this from opposite sides of the same coin.

The NN graph is written at a high-level in Python using frameworks (PyTorch, Tensorflow—man I really don’t miss TF after jumping to Torch :) ).

But the calculations don’t execute on the Python kernel—sure you could write it to do so but it would be sloooow. The actual network of calculations happen within the framework internals; C++. Then depending on the hardware you want to run it on, you go down to BLAS or CUDA, etc. all of which are written in low-level languages like Fortran or C.

Numpy fits into places all throughout this stack and its performant pieces are mostly implemented in C.

Any way you slice it: the post I was responding to is to argue that AI IS CODE. No two ways about that. It’s also the weights and biases and activations of the models that have been trained.

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Neural nets are typically written in C; then frameworks abstract on top of that (like Torch, or Tensorflow) providing higher-level APIs to languages like (most commonly) Python, or JavaScript.

There are some other nn implementations in Rust, C++, etc.

Costco’s soft-serve is way better than McD’s and actually is cheap.

Bullshit. Developers never make mistakes. N.E.V.R.

No, but it’s basically a “I can use it to build my billion-dollar business and keep the profits if I want” license. The only real catch is that if I decide to modify the code and distribute it, I’m required by the license to share those changes with whoever gets the modified version. There’s nothing in the GPL that stops me from being a downstream freeloader, and I can stay on whatever version I like—no one’s forcing me to update to newer ones with terms I don’t agree with. Forking and modifying for my own needs is totally fine, as long as I slap the same GPL on the changes if I hand them out.

1:0

You can scan before the encryption step. It defeats the purpose of the encryption such that only the privileged actor gets plaintext while everyone downstream gets encrypted bytes, but technically it’s possible.

It’s only a matter of time until a vulnerability in the privilege is found and silently exploited by a nefarious monkey, and that’s precisely why adding backdoors should never be done.

Can’t wait for Nintendo to sue Microsoft because VS Code can be used to edit save files.

If I want to wear my sunglasses while I’m watching a movie in the cinema because I have a light-sensitivity condition—usagenof the sunglasses alters my perception of the film without changing the permanent media storage of the film—am I cheating and subject to copyright infringement action?

Stop giving me Thermo nightmares; I lived through that shit already I don’t need to sleep through it too.

How are you planning on handling the induced phase shifts due to the rapid polarity reversals that occur in the transgravitational electron flux arrays? I mean, this is a nonstarter if you can’t get that to work—the electropositron fields are going to decay too quickly to be useful otherwise and the quite-expensive phosphokinesis-generator will be wasted.

A enterprise company that has 10k developers should just invest in their own image hub. It’s not really that hard to do. Docker even open-sourced it under Apache2.0.

Fair enough. I agree for what it’s worth—just have yet to find a browser that meets my needs for both usability and privacy. Always happy to explore options and I do sometimes. Just always end up back with Brave because everything else I try ends up annoying me in some way or the other.

You can turn the crypto part off you know. They even tell you how to do it.

Gonna go ahead and be downvote sponge here: Brave. Its privacy features and integrated Adblock have no peer that I’ve found yet, and easy bookmark/history syncing across multiple devices.

Yeah the CEO is a POS. Find me a tech CEO that’s not, besides Meredith Whitaker.

The most annoying thing about a lot of these is that tutorials are “minimal viable setup” sorta things. Like “now you have it setup, make sure you tune it for production”

Dude I’m already in pain from trying to serve these models and you just have to go rub salt into my eyes. “Simplify your stack with <Tech>” they said. “Share your resources effectively and easily with <Tech>” they said. “Here’s your fuckin’ ‘Hello, World’ now GRTFM and buzz off” they said.

Working close to the metal do be like that.

The above comment has also also been consumed by AI for training purposes.

I guess some people would simply “download a Rolex”.

I don’t disagree. Solutions finding problems is not the optimal path—but it is a path that pushes the envelope of tech forward, and a lot of these shiny techs do eventually find homes and good problems to solve and become part of a quiver.

But I will always advocate to start with the customer and work backwards from there to arrive at the simplest engineered solution. Sometimes that’s a ML model. Sometimes a ln expert system. Sometimes a simpler heuristics/rules based system. That all falls under the ‘AI’ umbrella, by the way. :D