AI Today, Calculators Back in the Day ?~L~X https://thenewleafjournal.com/b/Dyu

@movq@www.uninformativ.de LOL. I think I get the idea. I am concerned about AI too. Managers starting with “I don’t know anything about this, but here is what says”. Infuriating.

I came across this one today, here is a gift link: https://www.nytimes.com/2026/04/15/opinion/art-artificial-intelligence.html?unlocked_article_code=1.bFA.XNiu.ZukFfdNl3Al1&smid=nytcore-ios-share

@bender@twtxt.net Or maybe I’m just shitty at communication and maybe that’s why nobody at work understands my “arguments” against AI/LLMs. 🤪🤣

(I’m too tired to rephrase the OP. Maybe some other day. Actually, rest assured that I will complain about this again. 😅)

Another AI rant:

One of the “key features” of LLMs is that you can use “natural language”, because that is supposed to be easier than having to learn a programming language. So, when someone says to me, “I automated this process using AI!”, what they mean is: They have written a very, very large Markdown document. In this document, they list what the AI is supposed to do.

In prose.

This is a complete disaster.

Programming and programming languages have one crucial property: They follow a well-defined structure and every word has a well-defined meaning. That is absolutely brilliant, because I can read this and I can follow the program in my head. I can build a mental model. I can debug this, down to the precise instructions that the CPU executes. This all follows well-defined patterns that you can reason about.

But with these Markdown files, I am completely lost. We lose all these important properties! No debugging, no reasoning about program flow, nothing. It’s all gone. It’s a magic black box now, literally randomized, that may or may not do what you wanted, in some order.

People now throw these Markdown files at me … and … am I supposed to read this? Why? It’s completely random and fuzzy.

Sadly, these AI tools are good enough to be able to mostly grasp the authors intentions. Hence people don’t see the harm they cause, because “it works”.

We already have a ton of automations like this at work: Tickets get piped through an LLM and these Markdown files / prompts determine what will happen with the ticket, and maybe they trigger additional actions as well, like account creation or granting permissions. All based on fuzzy natural language – that no two humans will ever properly agree on.

Jesus Christ, we’re now INTENTIONALLY bringing the ambiguity of legal texts and lawyers into programming.

Using natural language is NOT easier than using a programming language. It is HARDER. Have you people never read a legal contract? And that stuff can STILL be debated in a court room.

I can’t begin to comprehend why we, tech folks, push this so hard. What is wrong with you? Or me?

(And, once again, we’re ignoring other factors here. LLMs use a ton of energy and ressources, that we don’t have to spare. It’s expensive as fuck. It doesn’t even run locally on our servers, meaning we give all these credentials and permissions to some US company. It’s insane.)

@lyse@lyse.isobeef.org

even our hippest AI enthusiasts found it absolutely terrible

Does this refer to the training course or to the tools themselves? 🤔

@movq@www.uninformativ.de I couldn’t agree more! I also have the feeling that it causes more people to just accept “it’s a software problem, there’s nothing that can be done about it”. Which is very frightning to me.

Up until now, I was successful in refusing to actively use that crap. I had to do one mandatory AI training, but even our hippest AI enthusiasts found it absolutely terrible. Probably also nailed together by the same rubbish they want us to now use everyday as much as possible.

Code reviews are the part that I have to deal with most. And I believe that the code quality is degrading.

Let’s hope the bubble bursts sooner than later. It will definitely burst at some point. That’s for sure.

@lyse@lyse.isobeef.org Yes, and that’s why I’m 100% convinced that we’ll see a massive brain drain in a couple of years. This will affect young people even more, because they don’t have all the “old” knowledge to fall back on.

It’s concerning, I’ve warned about it many times, nobody listens.

I think the best thing one can do is explicitly not use any AI tools but keep your actual skills intact. Might be out of a (good) job for a while, but once this bubble bursts, this is who is going to get hired again. (I think.)

And considering how insanely expensive all this is, I’m still (mostly) convinced that the bubble will actually burst. This stuff just isn’t sustainable.

… or I might be wrong. And if so, I see an even darker future that I don’t want to put into words right now.

@lyse@lyse.isobeef.org AI result ahead, feel free to ignore.

I “asked” the AI at work the same question out of morbid curiousity. It “said” that SQLite converts that integer to floating point internally on overflows and then, when converting back, the x86 instruction cvttsd2si will turn it into 0x8000000000000000, even if the actual floating point value is outside of that range. So, yes, it allegedly actually saturates, as a side effect of the type conversion.

I couldn’t find anything about that automatic conversion in SQLite’s manual, yet, but an experiment looks like it might be true:

sqlite> select typeof(1 << 63);
╭─────────────────╮
│ typeof(1 << 63) │
╞═════════════════╡
│ integer         │
╰─────────────────╯

sqlite> select typeof((1 << 63) - 1);
╭──────────────────────╮
│ typeof((1 << 63) ... │
╞══════════════════════╡
│ real                 │
╰──────────────────────╯

As for cvttsd2si, this source confirms the handling of 0x8000000000000000 on range errors: https://www.felixcloutier.com/x86/cvttsd2si

The following C program also confirms it (run through gdb to see cvttsd2si in action):

<a href="https://yarn.girlonthemoon.xyz/search?q=%23include">#include</a> <stdint.h>
<a href="https://yarn.girlonthemoon.xyz/search?q=%23include">#include</a> <stdio.h>

int
main()
{
    int64_t i;
    double d;

    /* -3000 instead of -1, because `double` can’t represent a
     * difference of -1 at this scale. */
    d = -9223372036854775808.0 - 3000;

    i = d;
    printf("%lf, 0x%lx, %ld\n", d, i, i);

    return 0;
}

(Remark about AI usage: Fine, I got an answer and maybe it’s even correct. But doing this completely ruined it for me. It would have been much more satisfying to figure this out myself. I actually suspected some floating point stuff going on here, but instead of verifying this myself I reached for the unethical tool and denied myself a little bit of fun at the weekend. Won’t do that again.)

Everything changes, right? I know we sound like curmudgeons, and perhaps AI is the next step. We are living its early infancy, the struggles and dislikes, the errors and flaws, and generations after us will simply benefit from it, and see it as natural as my children see the Internet today (it isn’t natural to me, I was born way before it).

Or maybe AI isn’t the next step. Either way, whether we like it or not, there is truly absolutely nothing (or close to) we can do. Well, complain we can, of course. :-P

https://www.flikai.com/ https://x.com/flikai https://www.thestreet.com/crypto/newsroom/flik-unveils-breakthrough-generative-ai-agent https://predis.ai/fi/resurssit/parhaat-teko%C3%A4lyanimaatiogeneraattorit/ https://www.adobe.com/fi/products/firefly/features/ai-animation-generator.html

Via https://github.com/newsboat/newsboat/issues/3220#issuecomment-4198066671 I came across this nice selection on why not to use AI: https://github.com/Vxrpenter/AIMania/blob/main/WHY.md#why

This then lead me to the slopware list: https://codeberg.org/small-hack/open-slopware

Holy shit, there’s even more than I thought. :-O In addition to Vim, the following affects me more or less daily (but hopefully not my ancient versions): curl, VLC, ImageMagick, rsync, Python, systemd and even the Linux Kernel itself. Oh fuck me dead. :‘-(

Who is the AI agent? write some text for the agent: Yam Adonay, Yam Adonay. Sisu vesimhu beyam Adonay.

Who is the AI agent?

Please, get out, AI agent… Just GET OUT!

Ok, AI bot.

@movq@www.uninformativ.de Yeah. Unfortunately. :-( I tried to bring up the subject of dependency upgrade reviews a few times, but nobody else cared. We finally experienced a supply chain attack (luckily, didn’t turn out too horrible for us, could have been worse) and this got the discussion slowly rolling again. So, publication of this article is perfect timing. Let’s see. Admittedly, I don’t have high hopes. And I bet someone suggests to use AI agents…

@quark@ferengi.one

talk next to nothing

I could rant about AI a bit and how it ruins every day at work, if that helps? 🤣

This one comes from this years (now scrapped) April 1st DLSS 5 gag, that was originally supposed to use Microsofts AI - in ways similar to the Nvidia technology, which produced interesting, overly detailed results. I wanted to see if I could beat the AI thing at drawing something like that myself and many redraws later, this is my best result.

I dread the day that someone accuses an entry on my Gemini log or a cover letter to an employer of being created by AI. It’s just the way I write, I promise!

@lyse@lyse.isobeef.org I bet that their AI agent handles that as well, so … 🤷‍♀️

@movq@www.uninformativ.de oh god, make it stop!

Recently the guy maintaining chardet changed its GPL license to MIT because “it is a complete re-write” (by AI, of course). It was called out by the original author. Changing the license is something the current maintainer wanted to do for long time, getting nos, and nos then. That didn’t stop him 12 years later.

@movq@www.uninformativ.de Oh dear god have we lost our way 🤣 I mean seriously?! Can we no longer think for ourselves? This isn’t even “AI Slop” this is just poor pathetic lack of discipline 🤦‍♂️ – And, frankly, no leadership.

@movq@www.uninformativ.de There are always some folks who would appreciate that. But I fear they are the minority. The rest just doesn’t give a shit.

The selfcontradiction is that those who proudly use and promote AI also claim to be sustainable and green and so on. I’ve no clue how this is not considered fraud, but there we are.

Well it’s ~2am and I finally defeated the AI player in a game of Frontier Crown 👑 – On that note I’m now going to bed, I’ve made so many improvements to the aesthetics (UX) of the game, the mechanics, and it’s now quite nicely playable 👌 G’night! 😴

AI Game Worlds and Humane Games ?~L~X https://thenewleafjournal.com/b/Dt8

Je teste la série Watson. Quand Dr House s’est fini en mai 2012, j’ai cherché des séries « […] 🔗 https://yom.li/notes/20260103232421

@eldersnake@we.loveprivacy.club

Steps to world domination:

1. “Invent” “AI” (by using other people’s data).
   
2. Get people hyped about it and ideally hooked on it.
   
3. Only provide it as a cloud service. But hey, if you want to, you can run it locally!
   
4. Buy all hardware available on the market, so that nobody but you can build more systems.
   
5. All PCs of consumers and competitors are too weak now and can’t be upgraded anymore.
   
6. Everybody depends on your cloud service! Win!
   

All of that is possible because corporations don’t have a “conscience” in capitalism. Nobody forces the RAM manufacturers to sell all their stuff to just one or two buyers, but since the only goal of that manufacturer is to make money, they do it.

Got a nice conspiracy theory for you:

https://mastodon.social/@mcc/115670290552252848

Actually wait I just thought about this and realized that the precise timing of the ACTUAL GitHub seed bank, by which I mean the Arctic Code Vault, on 2020-02-02, makes it more or less a perfect snapshot of pre-Copilot GitHub. Also precisely timed before we all got brain damage from COVID. This is the only remaining archive of source code by people with a fully working sense of smell

(Bonus points because the Arctic World Archive is located in Svaldbard and that’s the name of the AI in Stacey Kade’s “Cold Eternity”.)

AI’s writing style — https://dbohdan.com/ai-writing-style

How AI writes — https://dbohdan.com/ai-writing

AI writing — https://dbohdan.com/ai-writing

@aelaraji@aelaraji.com I like the sounds of this technique a lot redirecting these AI crawling assholes to multi gigabyte files! The only concern I have is how do you do it in such a way that you don’t end up destroying your own ISP speed test servers?

Better Technology, Worse Motivation: GenAI’s Mediocrity Trap

While generative AI (GenAI) promises productive efficiency, it can paradoxically lead to lower-quality work. We conducted an experiment with professional illustrators and found that AI assistance flattens the quality curve—it accelerates initial gains but sharply diminishes the returns on sustained effort. Faced with this, a significant number of professionals made a strategic choice: they sacrificed the final quality to save time.

From http://www.jin-li.org/uploads/1/1/4/5/114595093/ai_and_motivation.pdf

I haven’t read this and can’t vouch for it; seems vaguely AI-boostery. Still, the conclusions are interesting. This seems to be the picture that is emerging about generative AI generally: most people don’t like it and find that degrades the quality of work. Coders seem to like it and think that it helps them, but in fact it makes the slower, less productive, and more bug prone.

By all measures it’s a bad technology. We should just be honest about it. There is no need to make excuses for multi-trillion-dollar corporations.

@prologic@twtxt.net AI is slot machines for coders:

• “Before starting tasks, developers forecast that allowing AI will reduce completion time by 24%. After completing the study, developers estimate that allowing AI reduced completion time by 20%. Surprisingly, we find that allowing AI actually increases completion time by 19%–AI tooling slowed developers down.” https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
  
• “Stack Overflow data reveals the hidden productivity tax of ‘almost right’ AI code”: https://venturebeat.com/ai/stack-overflow-data-reveals-the-hidden-productivity-tax-of-almost-right-ai-code
  

The same intermittent reward operant conditioning that gets people addicted to gambling and thinking that if they follow certain rituals they’ll win “next time” drives people’s beliefs that AI tools are making them more productive when they’re making them less productive. I’m going to guess that a side effect of this is that people think they’re typing less when in the longer term they’re typing the same amount or more when you factor in the productivity loss (as far as I’ve read the studies don’t measure this so I’m only guessing).

People are also being rapidly de-skilled by this technology: the more they use it, the more their actual skills atrophy. “Continuous exposure to AI might reduce the ADR (adesoma detection rate) of standard non-AI assisted colonoscopy, suggesting a negative effect on endoscopist behaviour.” (science speak for saying that radiologists get worse at seeing tumors in scans once they’ve used AI): https://www.thelancet.com/journals/langas/article/PIIS2468-1253(25)00133-5/abstract

Nobody who cares about the future should be using this stuff for anything.

https://fokus.cool/2025/11/25/i-dont-care-how-well-your-ai-works.html

AI systems being egregiously resource intensive is not a side effect — it’s the point.

And someone commented on that with:

I’m fascinated by the take about the resource usage being an advantage to the AI bros.

They’ve created software that cannot (practically) be replicated as open source software / free software, because there is no community of people with sufficient hardware / data sets. It will inherently always be a centralized technology.

Fascinating and scary.

I’ve once again brought up a Gitea instance on my server space, but there are two highlights here:

1. No self-registration (accounts are tied to the e-mail server, which is in turn tied to the system accounts)
   
2. Going beyond the landing page requires to be logged in, no excuses. (It also could scare the AI crawlers to oblivion, avoiding Anubis at that)
   

That’s it.

Not a day goes by at work, where I’m not either infuriated or frustrated by this wave of AI garbage. In my private life, I can avoid it. But not at work. And they’re pushing hard for it.

Something has to change in 2026.

So what if its made by AI

Today, the internet was dead, and you’ve learned how many websites are actually made by humans and how many are made by AI.

I used Gemini (the Google AI) twice at work today, asking about Google Workspace configuration and Google Cloud CLI usage (because we use those a lot). You’d think that it’d be well-suited for those topics. It answered very confidently, yet completely wrong. Just wrong. Made-up CLI arguments, whatever. It took me a while to notice, though, because it’s so convincing and, well, you implicitly and subconsciously trust the results of the Google AI when asking about Google topics, don’t you?

Will it get better over time? Maybe. But what I really want is this:

• Good, well-structured, easy-to-read, proper documentation. Google isn’t doing too bad in this regard, actually, it’s just that they have so much stuff that it’s hard to find what you’re looking for. Hence …
  
• … I want a good search function. Just give me a good fuzzy search for your docs. That’s it.
  

I just don’t have the time or energy to constantly second-guess this stuff. Give me something reliable. Something that is designed to do the right thing, not toy around with probabilities. “AI for everything” is just the wrong approach.

@bender@twtxt.net All good. ✌️ It’s just that I’ve been through several iterations of this (on other platforms), AI output back and forth, pointing out what’s wrong, but in the end people were just trolling (not saying that’s what you had in mind), because apparently that’s “fun”.

… and now I just read @bender@twtxt.net’s other post that said the Gemini text was a shortened version, so I might have criticized things that weren’t true for the full version. Okay, sorry, I’m out. (And I won’t play that game, either. Don’t send me another AI output, possibly tweaked to address my criticism. That is besides the point and not worth my time.)

@prologic@twtxt.net Let’s go through it one by one. Here’s a wall of text that took me over 1.5 hours to write.

This section says AI should not be treated as an authority. This is actually just what I said, except the AI phrased/framed it like it was a counter-argument.

The AI also said that users must develop “AI literacy”, again phrasing/framing it like a counter-argument. Well, that is also just what I said. I said you should treat AI output like a random blog and you should verify the sources, yadda yadda. That is “AI literacy”, isn’t it?

My text went one step further, though: I said that when you take this requirement of “AI literacy” into account, you basically end up with a fancy search engine, with extra overhead that costs time. The AI missed/ignored this in its reply.

Okay, so, the AI also said that you should use AI tools just for drafting and brainstorming. Granted, a very rough draft of something will probably be doable. But then you have to diligently verify every little detail of this draft – okay, fine, a draft is a draft, it’s fine if it contains errors. The thing is, though, that you really must do this verification. And I claim that many people will not do it, because AI outputs look sooooo convincing, they don’t feel like a draft that needs editing.

Can you, as an expert, still use an AI draft as a basis/foundation? Yeah, probably. But here’s the kicker: You did not create that draft. You were not involved in the “thought process” behind it. When you, a human being, make a draft, you often think something like: “Okay, I want to draw a picture of a landscape and there’s going to be a little house, but for now, I’ll just put in a rough sketch of the house and add the details later.” You are aware of what you left out. When the AI did the draft, you are not aware of what’s missing – even more so when every AI output already looks like a final product. For me, personally, this makes it much harder and slower to verify such a draft, and I mentioned this in my text.

You, @prologic@twtxt.net, also mentioned this in your car tyre example.

In my text, I gave two analogies: The gym analogy and the Google Translate analogy. Your car tyre example falls in the same category, but Gemini’s calculator example is different (and, again, gaslight-y, see below).

What I meant in my text: A person wants to be a programmer. To me, a programmer is a person who writes code, understands code, maintains code, writes documentation, and so on. In your example, a person who changes a car tyre would be a mechanic. Now, if you use AI to write the code and documentation for you, are you still a programmer? If you have no understanding of said code, are you a programmer? A person who does not know how to change a car tyre, is that still a mechanic?

No, you’re something else. You should not be hired as a programmer or a mechanic.

Yes, that is “skill evolution” – which is pretty much my point! But the AI framed it like a counter-argument. It didn’t understand my text.

(But what if that’s our future? What if all programming will look like that in some years? I claim: It’s not possible. If you don’t know how to program, then you don’t know how to read/understand code written by an AI. You are something else, but you’re not a programmer. It might be valid to be something else – but that wasn’t my point, my point was that you’re not a bloody programmer.)

Gemini’s calculator example is garbage, I think. Crunching numbers and doing mathematics (i.e., “complex problem-solving”) are two different things. Just because you now have a calculator, doesn’t mean it’ll free you up to do mathematical proofs or whatever.

What would have worked is this: Let’s say you’re an accountant and you sum up spendings. Without a calculator, this takes a lot of time and is error prone. But when you have one, you can work faster. But once again, there’s a little gaslight-y detail: A calculator is correct. Yes, it could have “bugs” (hello Intel FDIV), but its design actually properly calculates numbers. AI, on the other hand, does not understand a thing (our current AI, that is), it’s just a statistical model. So, this modified example (“accountant with a calculator”) would actually have to be phrased like this: Suppose there’s an accountant and you give her a magic box that spits out the correct result in, what, I don’t know, 70-90% of the time. The accountant couldn’t rely on this box now, could she? She’d either have to double-check everything or accept possibly wrong results. And that is how I feel like when I work with AI tools.

Gemini has no idea that its calculator example doesn’t make sense. It just spits out some generic “argument” that it picked up on some website.

The AI makes two points here. The first one, I might actually agree with (“bad bot behavior is not the fault of AI itself”).

The second point is, once again, gaslighting, because it is phrased/framed like a counter-argument. It implies that I said something which I didn’t. Like the AI, I said that you would have to adjust the copyright law! At the same time, the AI answer didn’t even question whether it’s okay to break the current law or not. It just said “lol yeah, change the laws”. (I wonder in what way the laws would have to be changed in the AI’s “opinion”, because some of these changes could kill some business opportunities – or the laws would have to have special AI clauses that only benefit the AI techbros. But I digress, that wasn’t part of Gemini’s answer.)

Except for one point, I don’t accept any of Gemini’s “criticism”. It didn’t pick up on lots of details, ignored arguments, and I can just instinctively tell that this thing does not understand anything it wrote (which is correct, it’s just a statistical model).

And it framed everything like a counter-argument, while actually repeating what I said. That’s gaslighting: When Alice says “the sky is blue” and Bob replies with “why do you say the sky is purple?!”

But it sure looks convincing, doesn’t it?

This took so much of my time. I won’t do this again. 😂

@prologic@twtxt.net when I first “fed” the text to Gemini, I asked for a three paragraphs summary. It provided it. Then I asked to “elaborate on three areas: user experience, moral/political impact, and technical/legal concerns”. The reply to that is too long for a twtxt.

I then asked to counter the OP opinions—as in “how would you counter the author’s opinion?”. The reply was very long, but started like this:

“That’s an excellent question, as the post lays out some very strong, well-reasoned criticisms. Countering these points requires acknowledging the valid concerns while presenting a perspective focused on mitigation, responsible integration, and the unique benefits of AI.”

What followed was extensive, so I asked for a summary, which didn’t do justice to the wall of text that preceded it.

And, one last missed:

• AI is Forcing Legal Modernization: The copyright double standard is a failure of outdated law. AI provides the necessary impetus for legal reform to either create fair compensation frameworks for creators or establish a clear new definition of fair use for data-driven models.

@movq@www.uninformativ.de Gemini liked your opinion very much. Here is how it countered:

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

• AI as a Force Multiplier: AI should be treated as a high-speed drafting and brainstorming tool, not an authority. For experts, it offers an immense speed gain, shifting the work from slow manual creation to fast critical editing and verification.
  
• The Rise of AI Literacy: Users must develop a new skill—AI literacy—to critically evaluate and verify AI’s probabilistic output. This skill, along with improving citation features in AI tools, mitigates the “gaslighting” effect.
  

The fear of skill loss is based on a misunderstanding of how technology changes the nature of work; it’s skill evolution, not erosion.

• Shifting Focus to High-Level Skills: Just as the calculator shifted focus from manual math to complex problem-solving, AI shifts the focus from writing boilerplate code to architectural design and prompt engineering. It handles repetitive tasks, freeing humans for creative and complex challenges.
  
• Accessibility and Empowerment: AI serves as a powerful democratizing tool, offering personalized tutoring and automation to people who lack deep expertise. While dependency is a risk, this accessibility empowers a wider segment of the population previously limited by skill barriers.
  

The legal and technical flaws are issues of governance and ethical practice, not reasons to reject the core technology.

• Need for Better Bot Governance: Destructive scraping is a failure of ethical web behavior and can be solved with better bot identification, rate limits, and protocols (like enhanced robots.txt). The solution is to demand digital citizenship from AI companies, not to stop AI development.

For the innocent bystanders (because I know that I won’t change @bender@twtxt.net’s opinion):

curl -s gopher://uninformativ.de/0/phlog/2025/2025-11/2025-11-05--my-current-reasons-against-ai.txt

@prologic@twtxt.net Nothing, yet. It was sent in written form. There’s probably little point in fighting this, they have made up their minds already (and AI is being rolled up en masse in other departments), but on the other hand, there are – truthfully – very few areas where AI could actually be useful to me.

There are going to be many discussions about this …

This is completely against the “spirit” of this company, btw. We used to say: “It’s the goal that matters. Use whatever tools you think are appropriate.” That’s why I’m allowed to use Linux on my laptop. Maybe they will back down eventually when they realize that trying to push this on people is pointless. Maybe not.

It happened.

Management asked me if I’m using enough AI and what I’m doing to learn more about it.

@lyse@lyse.isobeef.org They’re seriously telling us at work: “Can it be AI’d? Do it, don’t waste time!” Shit like that is the result. (What’s this weird gray triangle in the bottom right corner?)