It’s like back in the 80s, when games had amazing hand-drawn covers and then the graphics was just text or simple shapes, but now with gameplay.

Probably around 14 or something. For whatever reason, people will often name DD as a large bra size around here. It also doesn’t exist in our bra size system. Some girl pointed out that non-sense at school.

When I was around 3 years old, me and my not much older brother decided to walk across town, where our mum was visiting relatives.

I was missing mummy, which was technically not an emergency, for which we were supposed to phone those relatives.
We had been raised very well, you see. 🙃

hobbyists

Not so sure about that plural…

It’s not getting updated anymore, unfortunately, but this is a cool webpage to get a feel for that: http://www.their.tube/

If you want it to just not recommend things, you might prefer switching to an RSS feed, or to something like NewPipe.

Problem is that none of the algorithms actually care about showing you things you like.

Ads try to sell you on things that you wouldn’t otherwise buy. Occasionally, they may just inform you about a good product that you simply didn’t know about, but there’s more money behind manipulating you into buying bad products, because it’s got a brand symbol.

And content recommendation algorithms don’t care about you either. They care about keeping you on the platform for longer, to look at more ads.
To some degree, that may mean showing you things you like. But it also means showing you things that aggravate you, that shock you. And the latter is considered more effective at keeping users engaged.

Where I live, you have to put a coin into the shopping carts and you only get it back when you return it. Is this not a thing in, uh, Portugal? Brazil? Wherever the comic author lives…?

I mean, yeah, this is about people outside the industry, those who invested money.

To my knowledge, LLMs still don’t pay for themselves. When the hype dies down and investors aren’t willing to provide money anymore, then prices for LLMs will become prohibitive for many current use-cases. That will also shrink the industry.

What that means in effect, we’ll still have to see, but AGI was one path that investors hoped for to get towards profitability, so it doesn’t aid the hype when they’re slowly learning about reality.

It’s unfortunate that only bad webpages would pay for such a sponsorship, but you’ve obviously got the same problem with search engines, so yeah, I’d rather have them reduce dependence on that single bad actor.

The post was ultimately just an ad for an Indian tech company. And yeah, looked very ChatGPT, so not worth reading in my opinion.

A few years ago, I got put into the same room as an extremely Catholic colleague and the kind of jackass who’d start discussions about everything.

And yeah, my only luck was that I was a ‘better’ Christian than him in every discipline. Well, you know, apart from being a heretic.

I hear, it actually significantly increases the chance of the miracle occurring when you pass the array into multiple threads. It’s a very mysterious algorithm.

Might be a song from Kevin MacLeod? His songs get used a lot on the YouTubs.

https://incompetech.com/music/royalty-free/music.html

When I just searched “Kevin MacLeod jazz”, the first result was “Acid Trumpet”, which seems like it could fit your description.

I enjoy anise-fennel-caraway tea. It doesn’t taste as watery as many of the fruit-based teas and not as bitter as black tea and such. I find, it’s also decent at clearing out my throat.

Peppermint tea is second place for me, for very much the same reasons. 🙃

Personally, I’ve found Poetry somewhat painful for developing medium-sized or larger applications (which I guess Python really isn’t made for to begin with, but yeah).

Big problem is that its dependency resolution is probably a magnitude slower than it should be. Anytime we changed something about the dependencies, you’d wait for more than a minute on its verdict. Which is particularly painful, when you have to resolve version conflicts.

Other big pain point is that it doesn’t support workspaces or multi-project builds or whatever you want to call them, so where you can have multiple related applications or libraries in the same repo and directly depending on each other, without needing to publish a version of the libraries each time you make a change.

When we started our last big Python project, none of the Python tooling supported workspaces out of the box. Now, there’s Rye, which does so. But yeah, I don’t have experience yet, with how well it works.

Python never had much of a central design team. People mostly just scratched their own itch, so you get lots of different tools that do only a small part each, and aren’t necessarily compatible.

We’ve got a WebAssembly web-UI at $DAYJOB. Implementation language is Rust, we use the Leptos framework (although other mature frameworks are available for Rust).

Pros:

• Same language and similar tooling as in the backend. Most libraries work the same way (obviously excluding libraries that read from the filesystem, for example). This is especially good, if you’ve got lots of “full stack” devs.
• Same model classes as in the backend. If you change a field, the compiler will force you to fix it on both sides. It is compile-time guaranteed that backend and frontend are compatible.
• Rust is a nicer language than JS/TS. I find especially Rust’s error handling via Result and Option types + pattern-matching works really well for UI stuff. You just hand the Result value over to your rendering stack and that displays either the value or the error. No unset/null variables, no separate error variable, no ternaries.
• Having a strict compiler makes it less bad when you’re lax on testing, and frontend code is a pain to test.

Cons:

• If you’ve got pure frontend folks, or people who are deep into React or Angular or whatever, those are not going to be as productive.
• The JS ecosystem is massive, you just won’t find as many component libraries for Rust, which can definitely also reduce productivity.

With me being in a team with few frontend folks, I would definitely opt for it again.

Well, for reasons, I happen to know that this person is a student, who has effectively no experience dealing with real-world codebases.

It’s possible that the LLM produced good results for the small codebases and well-known exercises that they had to deal with so far.

I’m also guessing, they’re learning what a PR is for the first time just now. And then being taught by Microsoft that you can just fire off PRs without a care in the world, like, yeah, how should they know any better?

Yeah, Google likes to guess the language preference based on the IP address, which thankfully never goes wrong.