@movq@www.uninformativ.de I reckon section numbers are not really needed for articles. But if you number them, the anchors should probably not contain the section number, just the title. Especially for articles that may receive updates.

It’s probably another story for specifications. They’re kinda fixed and thus I found it useful in the past to include the section numbers in the anchors, so they show up in URLs when linking to specific sections. W3C RFCs only include the numbering in the anchors. This makes URLs fairly short, but it would be also nice to directly see what kind of section that URL actually links to.

Numbered headings in blog posts, yay or nay?

Biggest problem of having them: Links to section anchors (like bla.html#my-first-section) will break if I add a section later on. 🤔

https://movq.de/v/cf0903ebc3/

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@movq@www.uninformativ.de @bender@twtxt.net Thank you! It’s some kind of a thistle I reckon. My mate is a bee hunter, I’ll link the next one that comes up.

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@movq@www.uninformativ.de I really like your style of writing, btw. It’s much calmer and less aggressive then mine. :-) When I turned my bullet points into paragraphs, I got a bit mad in the process.

Sure, feel free to include anything you want. Regarding citing, this is where twtxt falls short in my opinion. Especially with feed rotation, classic links die quickly. Message hashes only help so much. Nobody outside the twtxt universe knows how to deal with them. So, not perfect for inclusion on a web page. Linking to a thread or message on some yarnd instance might be the more user-friendly option. But the disadvantage is that it’s “just” a mirror, not the primary or original source. In all reality, this could be considered splitting hairs, though.

I should have probably written a proper article. That would have given me time to review the result more carefully, too. ;-) Perhaps that’s something for the future. But honestly, I’m not sure if I really want to waste my time and energy on that subject. So many other fun or useless things come to mind right away that I could do instead. 8-)

So, yeah, do whatever feels best to you. I don’t mind being cited or linked, but I also don’t mind not to be cited or not to be linked to. :-D Not a helpful answer, I know. Sorry. ;-) But anyway, thanks for asking, mate! I do appreciate it.

To finish my thought, linking to my frontpage is probably also useless, since I deliberatly do not have a table of contents there. In fact, my entire frontpage is rather silly.

@lyse@lyse.isobeef.org (Do you want to be linked on that page? Do you want your name to be there at all? 🤔)

Of course, @movq@www.uninformativ.de! Most of my points are also included in your list.

First of all, programming is what I really do enjoy the most. So, it doesn’t make any sense at all to not do this anymore. “But you could use your now free time to do something much cooler and more valuable!”, others might reply. Fuck no, I don’t want to waste my time with other shit that doesn’t fulfill me, why on earth would I want to do that?

All this hallucination reduces quality badly. In my experience, it’s also happening much more rapidly than I expected. Even though developers are still supposed to own and understand whatever has been generated under their name and even be responsible for that, the sad reality is that teammates often blindly trust the AI output. “But I asked the AI and it told me that $this was impossible”, “I’ve no idea either, but the AI just generated it” are responses I get more often. What really makes my angry is when I point out a flaw and suggest an alternative and this is the reaction. It happened several times that just trying it out and seeing it clearly work to proof my point only took me half a minute, but people still did something handwavy else instead.

The learning effect is drastically reduced. The more time I spend on a topic, the better the odds that whatever I learned actually makes it over into long-term memory. It’s like if a collegue just says “do it like that” or “this solves your problem”, but neither explains the why or how. Somehow, people are still convinced that it’s a completely different story when you replace the human counterpart with a computer program in this equation.

Skills are unlearned. It’s like with automation in general, just much worse. You end up in a state where you’ve no clue how anything works under the hood or how to actually find out important information that are needed to solve your problem. You’re screwed when a process breaks out of the blue. Even though it can become also rather terrible, with classical automation you’re typically still be able to decipher how exactly the thing was supposed to do something.

The energy consumption is sooo high, I absolutely do not want to be a part in burning down our planet. I’m sure I find (and probably have long found without knowing) other ways to contribute to worsen our climate crisis.

The scraper part is already covered in detail in your list. :-)

I’m convinced that license and copyright violations are only played down or even refused entirely because companies want to make big money quickly. With the work of others of course. Their double standards are obvious, they still try to actively keep their own stuff secret and out of any training sets. At most for internal use only. Virtually noone in charge is interested in good long-term solutions. Short-term for the win, when disaster eventually strikes, the causers are long gone, the responsibilities in other hands.

Vendor lock-in is something that lots of folks are only realizing very slowly. It’s completely crazy to me. This drug dealer routine should be well-known by now. It’s fucking everywhere. Yet, people are always surprised when they found themselves caught in it.

Adding new AI stuff only increases complexity. But complexity is the enemy that everybody should fear and reduce as much as possible. Of course, this is not limited to AI at all. And everywhere I look around, people in charge looooove to make things way more complicated than they ever need to be. Yet, simplicity is the real art and much harder to achieve.

I don’t understand why we have to go back full force to the ambiguity of natural languages. This alone should be more than enough to realize what a stupid idea all that is. Linked to that is that the “instruction set” is interpreted differently with newer model versions. I mean, is has to be. Why else would somebody want to upgrade in the first place than to get more Powerful™ Features™?

Some people argue that with AI the democratization is empowered. However, in my view, the exact opposite is the case. Models are getting so large that you can basically not run them locally or even train them. So, you have to rely on whatever the vendor offers you and runs for you. In the end, this only gives the owners more power, the multi billionaires. Not exactly what I understand by democratization.

Finally, technology assessments are missing completely. Or they are faked such that mostly only the (questionable) benefits are listed. But all the negative impact is just ignored.

Let’s keep some popcorn around for when this all explodes. :-)