Possible in the sense that biological brains and human brains aren’t special. But no one will ever convince me that large language models (I’m talking about the actual math and programming that they use today for “AI”) will ever be actually intelligent.

How can you tell?

How are you using it for data crunching? That's an honest question, based on my experiences with AI I can't imagine how I'd use them to crunch data.

So I always have to check it’s work to some degree.

That goes without saying. Every AI I've seen or heard of generates some level of garbage.

Using git reset --keep would just make more work since I'll have to throw away uncommitted changes anyways. Removing uncommitted changes is kind of the whole point, it is called 'reset' after all. If I want to preserve uncommitted changes, I'll either stash them or commit them to a temporary branch. That has the added benefit of adding those changes to the reflog so if I screw up later I'll be able to recover them.

“Feeding garbage to OCR” is a really boring way of generating text. I was assuming it would be something more interesting, like creating a symbolic representation of the splatters and generating text from that. Using OCR is basically piping /dev/urandom to perl and seeing what happens. The fact that they’re valid perl programs is worth a laugh but the generation method is totally uninteresting.

I think the word you want is minutiae?

That sounds like a great way to set yourself up for spectacular failures down the road

When it happens? That happened to me a long time ago. I’m still a backend developer. I can create UIs and I can spin up and manage docker CI infrastructure but I sure as hell don’t want to. A properly run company team should have separate professionals for UX, front end, back end, sysadmin, etc. Just because I am capable of doing those things does not mean I should.

I could use Google but I’m looking for opinions not just what journals have that kind of content

User provided content (post using custom emojis) caused havoc when processing (doesn’t matter if on server or on client). This is lack of sanitization of user-provided-data.

100%. Always act as though user provided content is malicious.

JavaScript (TypeScript) has access to cookies (and thus JWT). This should be handled by web browser, not JS.

Uh... what? JavaScript is a client-side language (unless you're using NodeJS, which Lemmy is not). Which means JavaScript runs in the browser. And that JavaScript has access to cookies, that's just a basic part of how web browsers work. Lemmy can't do anything to prevent that.

How the attacker got those JWTs? JavaScript sent them to him? Web browser sent them to him when requesting resources form his server? This is lack of site isolation, one web page should not have access to other domains, requesting data form them or sending data to them.

Again, Lemmy can't do anything about that. Once there's a vulnerability that allows an attacker to inject arbitrary JS into the site, Lemmy can't do anything to prevent that JS from making requests.

Then, if they want to administer something, they should log-in using separate username + password into separate log-in form and display completely different web page

On the backend you'd still have a single system which kind of defeats the purpose. Unless you're proposing a completely independent backend? Because that would be a massive PITA to build and would drastically increase the system's complexity and reduce maintainability.

Senior engineers have learned through hard-won experience that writing code is the ultimate diminishing return.

I feel seen. That entire section is absolute gold.

If you want your code to run on the GPU, the complete viability of your code depend on it.

Because of the performance improvements from vectorization, and the fact that GPUs are particularly well suited to that? Or are GPUs particularly bad at branches.

it is only one of the many micro-optimization techniques you can do to take a few nanoseconds from an inner loop.

How often do a few nanoseconds in the inner loop matter?

The thing to keep in mind is that there is no such thing as “average developer”. Computing is way too diverse for it.

Looking at all the software out there, the vast majority of it is games, apps, and websites. Applications where performance is critical, such as control systems, operating systems, databases, numerical analysis, etc, are relatively rare compared to apps/etc. So statistically speaking the majority of developers must be working on the latter (which is what I mean by an "average developer"). In my experience working on apps there are exceedingly few times where micro-optimizations matter (as in things like assembly and/or branchless programming as opposed to macro-optimizations such as avoiding unnecessary looping/nesting/etc).

Edit: I can imagine it might matter a lot more for games, such as in shaders or physics calculations. I've never worked on a game so my knowledge of that kind of work is rather lacking.