And why use readable variable names? "aA=q_(c8z,fW8)"

Seriously though, almost all the examples in TFA are of rewriting existing code. It may be that Python is still best for the rapid dev iteration. Then sure, cross-compile into Rust via the LLM.

Plus, If we care about token usage counts, Python has a lot more opportunities for compact "import thing_I_need" than having to generate entire libraries in Rust.

I honestly expected the demand to be "Release GTA 6 soon or else we will". ...The fact that they're just demanding money is a little disappointing. ;-)

Many ransomware groups of today operate in the same way a legal tech startup would. It’s a large organization with clear goals, not just some guys fooling around. It’s a funny thought tho.

How do laypersons (noobs) like me learn about this stuff? Like Wired magazine technical level.

I've just started Darknet Diaries podcast. So great.

When I worked on electronic medical records, I assumed it was just a matter of time until we were hacked (too). All the most banal reasons: many vendors, shared passwords, root/admin access, etc.

I imagine things haven't improved much since.

Darknet Drinking Game: a shot every time something is “unbelievable to me”

Yeah but large tech companies don’t just operate by breaking laws like this.

Sure they do, Uber is probably the most famous in that regard, but plenty break things and pay a fine later.

In fact I’d say that sort of law breaking is downright routine. The key difference is the ability to afford a really good legal and lobbying team.

laws that allow big players hurt minorities are any good? Rockstar recently had a strike from their workers by their abuse and layoffs

I know you're joking, but the game will be released eventually anyway.

That was tedious to read. No stable diffusion bugs were ever found. Title is simply wrong. Mod down to spare others.

An intuitive introduction to adding inference controls to pretrained (latent) flow-based generative models

Read to the end and... what was the point of that? Where's the payoff?

There was a claim near the top that some things are easier to compute when viewed as cracovians. then some explanation, then suddently it switches to numpy and showing the time is the same.

New title: "Cracovians are a Waste of (the Reader's) Time"?

I was expecting to see some mention of CoreWeave's recent acquisition of Weights & Biases. This is a glaring omission.

Paraphrase: ML in Julia is for Serious Scientists Doing Very Sciencey Things. Things you wouldn’t understand. But your desire to train deep learning models on GPUs and deploy them as apps elsewhere? ...Aw, c’mon, that’s boring. You can just use PyTorch for that. Now, who's up for a new round of Neural ODE benchmarks?!

I naively expected this article to include a link to the paper somewhere in it, so we could decide for ourselves. Oh well.

All I see is a filtered woman on the left and a different unfiltered woman on the right, the whole time. At what time does the glitch occur?

If you’re talking about the YouTube video, I don’t think they captured the glitch from A to B, just the unfiltered capture.

In HTML format: http://home.pipeline.com/~hbaker1/hakmem/hakmem.html