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Googlebook Is Google’s New AI-Powered Laptop Platform Built on Android
They won’t replace Chromebooks, but Googlebooks have an Android-centered operating system, AI-first features like the Magic Pointer, and a promise of desktop-grade apps. ⌘ Read more

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The Creators of ‘Hacks’ Really, Really, Really Hate AI
Ahead of the hit show’s finale, cocreators Paul W. Downs and Lucia Aniello talk about media consolidation, the perils of censorship, and why they find AI “deeply disturbing.” ⌘ Read more

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I’m still having some fundamental design issues with my TUI widget system, so I’m still not comfortable making this code public.

But after a day of work (and discussing AI ad nauseam at work), I just don’t have any energy left. 😑

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I Work in Hollywood. Everyone Who Used to Make TV Is Now Secretly Training AI
For screenwriters like me—and job seekers all over—AI gig work is the new waiting tables. In eight months, I’ve done 20 of these soul-crushing contracts for five different platforms. It’s bad. ⌘ Read more

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Trump Pivots on AI Regulation, Worker Ousted by DOGE Runs for Office, and Hantavirus Explained
Today on Uncanny Valley, we’re diving into recent reports that the Trump administration is considering an executive order that would establish some sort of federal oversight over new AI models. ⌘ Read more

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How to Disable Google’s Gemini in Chrome
Chrome users were caught off guard by a 4-GB Google AI model baked into Chrome, sparking privacy concerns. The good news: You can easily uninstall it. The bad? You might not want to. ⌘ Read more

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Thousands of Vibe-Coded Apps Expose Corporate and Personal Data on the Open Web
Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet. ⌘ Read more

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A Kid With a Fake Mustache Tricked an Online Age-Verification Tool
To stop children from bypassing its age checks, Meta is revamping its age-verification tools with an AI system that analyzes images and videos for “visual cues,” such as height and bone structure. ⌘ Read more

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Cybercriminals Are Complaining About AI Slop Flooding Their Forums
It’s not just you. Hackers and other cybercriminals are complaining about “AI shit” flooding platforms where they discuss cyberattacks and other illegal activity. ⌘ Read more

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A Dark-Money Campaign Funded by Silicon Valley Billionaires Is Paying Influencers to Frame Chinese AI as a Threat
Build American AI, a nonprofit linked to a super PAC bankrolled by executives at OpenAI and Andreessen Horowitz, is funding a campaign to spread pro-AI messaging and stoke fears about China. ⌘ Read more

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Musk v. Altman Kicks Off, DOJ Guts Voting Rights Unit, and Is the AI Job Apocalypse Overhyped?
In this episode of Uncanny Valley, we get into how the Elon Musk-Sam Altman trial goes way beyond their rivalry and could have major implications both for OpenAI and also the AI industry at large. ⌘ Read more

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These Men Allegedly Profit Off Teaching People How to Make AI Porn
Three Arizona women have filed a lawsuit against a group of men that alleges they used the women’s photos to make AI porn influencers, then offered online courses showing others how to do it. ⌘ Read more

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Sanctioned Chinese AI Firm SenseTime Releases Image Model Built for Speed
With US restrictions limiting its access to advanced tech, SenseTime is doubling down on open source with a new model optimized to run on Chinese-made chips. ⌘ Read more

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How AI Could Help Combat Antibiotic Resistance
At WIRED Health, British surgeon Ara Darzi said AI is set to transform the diagnosis and treatment of drug-resistant infections. But a lack of incentives means innovation may not reach patients. ⌘ Read more

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The Race Is on to Keep AI Agents From Running Wild With Your Credit Cards
AI agents may soon be buying your stuff for you. The FIDO Alliance has teamed up with Google and Mastercard to try to ensure that shopping in the near future isn’t a complete disaster. ⌘ Read more

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Sobre o debate da lei das redes sociais, uma armadilha em que Ă© muito importante nĂŁo cair:

Ao aceitar o debate sobre mĂ©todos “seguros” de fazer vigilĂąncia (ex. zero knowledge proofs, info encriptada, etc), estamos a aceitar que hĂĄ formas aceitĂĄveis de vigilĂąncia e fazemos um enorme favor aos proponentes da amputação da internet que aĂ­ se avizinha

NĂŁo aceites discutir a forma que a vigilĂąncia pode ou nĂŁo ter! A Ășnica resposta Ă© a recusa total

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495 turns and about ~4hrs alter I won! 🙌 Small map, 2-players, myself and an AI player. 😅 – It took forever to beach the island the AI player was on and get enough Galley’s and Swordsmen just to push back and eventually slowly destroy all enemy units and capture all cities! đŸ€Ł

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These New Smart Glasses From Ex-OnePlus Engineers Have a Hidden Cost
The Kickstarter-funded glasses from L’Atitude 52°N have AI features bundled for 1 year, but the company doesn’t know yet how much it will charge for access after that. ⌘ Read more

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As an enjoyer of delightfully bad graphic design, found on most Czech village center cork boards, I’m sad to see the stolen clipart and badly cropped watermarked stock images, gradually replaced with AI slop.

This is far from a serious rant, but generating images of my kind being telepathically hit with sharp rocks, surely gives me a right to complain.

So far these seem the most prominent slop categories, seem to be


Architecture slop:

  1. find a sketch of what an old building looked like

  2. generate an AI version, without correcting any of the perspective errors - this one is diagonally levitating

  3. generate a recreation of the buildings demise - after going through the AI, for the second time, it is now a completely different building

Moralizing slop:

History slop:

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↳ In-reply-to » Another AI rant:

@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. đŸ€ȘđŸ€Ł

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

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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.)

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↳ In-reply-to » (#kwq4eea) @lyse 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.

@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? đŸ€”

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@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.

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@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://txt.sour.is/search?q=%23include">#include</a> <stdint.h>
<a href="https://txt.sour.is/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.)

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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

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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.

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@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.

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@movq@www.uninformativ.de Oh dear god have we lost our way đŸ€Ł I mean seriously?! Can we no longer think for ourselves? This isn’t even “AI Slop” this is just poor pathetic lack of discipline đŸ€Šâ€â™‚ïž – And, frankly, no leadership.

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@abucci@anthony.buc.ci coined the term “failscene”:

https://buc.ci/abucci/p/1771250567.039684

I wonder about using “failscene” to describe the current slate of AI tools and demos. In contrast with the demoscene, which is about getting very low powered computers to do cool things you wouldn’t expect them to be able to do, the failscene is about getting very high powered computers to fail at doing boring things we already know how to do without them. Plus you can stylize it fAIlscene if you’re inclined to.

I love it.

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↳ In-reply-to » @lyse They certainly don’t. đŸ«€

@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.

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↳ In-reply-to » Okay, so the funniest thing that has happened at work in the realm of AI so far is this:

@lyse@lyse.isobeef.org They certainly don’t. đŸ«€

Had an idea earlier: How about going all in on sustainability and saving money/energy, so how about telling your customers “AI is a bad idea $because_long_list_of_reasons, here are our alternatives, you’ll thank us in 5 years”? (I bet the customers wouldn’t listen either 
 🙄)

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Okay, so the funniest thing that has happened at work in the realm of AI so far is this:

So this guy (that holds a certain position of power) wants people to use more AI, meaning people are expected to install a set of AI tools on their laptops. But, of course, he doesn’t want to write proper documentation for this, because that would be silly monkey work, right? So he conjures up some AI prompts that are intended to make the AI agent install all this stuff by itself.

Do you see where this is going? Can you see the punchline?

That’s right! Since none of this AI stuff is deterministic, every setup is different. đŸ€Šâ€â™€ïž Like, 10, 20 systems, all set up a little different and people wonder why this or that doesn’t work as expected.

Okay, it’s not funny.

Image

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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! 😮

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@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.

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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”.)

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↳ In-reply-to » @aelaraji Ahhh! That would be even funnier and even more brilliant! đŸ€Ł If you can find this, I would happily employ this tactic next time and make 'em pay 💰 Bahahahaha đŸ€Ł

@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?

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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.

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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.

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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.

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↳ In-reply-to » 
 and now I just read @bender’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.)

@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”.

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