sapka.pl is a Fediverse instance that uses the ActivityPub protocol. In other words, users at this host can communicate with people that use software like Mastodon, Pleroma, Friendica, etc. all around the world.
This server runs the snac software and there is no automatic sign-up process.
US nearly attacks China ship based on AI hallucination - YouTube
https://www.youtube.com/watch?v=CfvH8vHoMX4
by @davidgerard
And still BigTech and the government are pushing hard for AI adoption. Insane!
RE: https://infosec.exchange/@david_chisnall/116939858992907996
This explains very well why "bad" code contributions by enthusiastic people can still be very worthwhile in the long run.
Also LLM's will not share a drink with you at a conference reminiscing about that time you collaborated on a piece of code, or sharing stories about stuff happening in their life.
Opensource projects dismissing these social aspects are doomed in my view.
David Gerard boosted
David Chisnall (*Now with 50% more sarcasm!*) » 🌐
@david_chisnall@infosec.exchangeOne of the open source projects I used to (many years ago, so I am not really affected anymore) has recently decided to allow AI contributions. One of their arguments is that they judge submissions on quality, not tools used.
Back when I was an active contributor (to the project and maintainer of some other parts of the surrounding ecosystem), I got a lot of submissions that were bad.
The thing is, I absolutely loved getting these because they always came from super-enthusiastic junior people. Reviewing them and giving feedback often too much longer than implementing the feature myself. The same was usually true for the next contribution too. But that shifted over time. After a few months, I started getting patches where I didn’t find anything beyond the cosmetic that I wanted to change.
Going back further, I was one of those people when I started contributing.
Measured as code contributions over the short term, maintainers working with submitters of poor-quality PRs is a waste of time. You’re taking time away from writing code to do something that produces code more slowly.
Measured over the long term, the results are very different. Far more code in that project and closely related parts of the ecosystem has been written by people who I mentored when they came along with some bad code than by me.
It’s never a waste of my time to turn an enthusiastic and incompetent contributor into an enthusiastic and competent contributor, it’s an absolutely critical part of building a healthy project. I wouldn’t have got nearly as much out of F/OSS on a personal level if I hadn’t encountered a lot of people with the same opinion when I was one of the enthusiastic and incompetent newcomers.
But LLMs are not like that. If I spend time reviewing LLM-generated code when it would have been faster to write it myself (which, to be clear, is the case on 100% of LLM-submitted PRs I’ve seen so far), then that’s just a time sink. It’s also taking away time I could be spending helping new contributors who want to actually improve, rather than just take the review comments, feed them into an opaque system, and give me back the results.
Update. "How France’s #Mistral Built A $14 Billion AI Empire By Not Being American."
https://www.forbes.com/sites/iainmartin/2026/04/16/how-frances-mistral-built-a-14-billion-ai-empire-by-not-being-american/
My daughter sent me this & yes to all of it - I hadn't even thought of the fonts thing, but it's totally on point, too; there's a reason font design is a major speciality skill, you don't just pull something like that out of your ass.
“That’s what shareholders expect — and they’ll be penalized if they’re not doing like their peers.”
I spoke to CNET about why Nvidia is doing big share buybacks and why its new AI security system is designed to capitalize on recent doomer narratives.
#tech #nvidia #ai #artificialintelligence #stockmarket #business
For those who are unemployed and looking to re-enter the job market, here are some free courses (highly valued by employers) that offer certification (which you can post on LinkedIn): https://academy.langchain.com/courses/
Note: I know they are valued because I work at a Big Tech company, and they are requiring an entire core team to take some of these courses.
Google has an ad stating that the latest generation of #AI is not task but Intent; you tell it what is the intended outcome, they figure out how to get there.
I would like there to be no more plastics in the ocean.
Would they try to eliminate plastic or hoomanity do you think?
What, me worried?
Welp, I guess I won't be flying for a while if this is implemented.
#FAA #AI #AirTrafficControl #WhatCouldPossiblyGoWrong
So, I have a warning for anyone who depends on #AI for advice or technical information for anything.
This story is going to take a bit, but I want to relate it completely because it shows a pattern of supplying fundamentally false information on a topic where, in technical circles, the information is solidly documented and the technique is entirely reproducible.
1/
There is a lot of molecular water bound up in Colemanite, and that can cause bubbling, pinholing and other issues during #glaze firing. The answer is to calcine the colemanite. Essentially put the material into your kiln, and boil off the molecularly bound water.
I didn't know how to do this, so I searched for instructions. Google #AI told me that colemanite should be taken up to 415C and this will caline it.
Luckily, I did not trust it. I asked a human on Glazy. 3/
An exceedingly generous Uruguayan guy gave me step-by-step instructions on how to do it, as he does it all the time for exactly the same reason - to end his reliance on Ferro Frits.
His instructions were to slowly take the colemanite up to 680C and hold it there until the heat coming out of the top hole in the kiln stops steaming up a glass or mirror.
I followed his instructions, but was interested to see if the colemanite gave off its water at the temp #AI suggested.
Chemical properties, like when a given compound gives off its bound water, are not mysteries or unknowns. They are well documented in standard manuals that have been around for, probably, more than 100 years and are most definitely somewhere on the internet.
The thing is... the info #AI gave me was flat out FALSE. And I want you do consider that if it can be wrong on a piece of data that is so solid and well-documented, it can be wrong on anything. It is likely wrong on MOST THINGS. /6
🤢
Wired: AI Agents Are About to Flood the Workforce. No One’s Ready for It
Your next coworker might well be an AI agent—and will require a whole new model of workplace interactions.
"...In the coming months, hundreds of thousands of brand-new coworkers will be entering the workforce. You’ll learn their names and recognize their profile pictures. They’ll get added to your email chains and Slack channels. They’ll become chiefs of staff, engineers, and marketing gurus.
But these coworkers aren’t human: They are all artificial intelligence agents...."
(maybe paywall)
https://www.wired.com/story/ai-agents-are-about-to-flood-the-workforce-no-ones-ready-for-it/
boostedAiDEN - Your Digital Companion ‘99
yes yes, #ai bad... anyway:
dragging astra along with me today while building some stuff and it keeps suggesting these wildly linear (and long) classes while i'm working on OOP projects.
not so much god objects but almost like class wrappers around procedural blocks with relatively deeply nested conditional logic.
i wonder if that means it's been trained on more procedural code than oop code?
One potential trigger for the much anticipated AI-related financial crash, might be the uptake across (non-Silicon Valley) corporate America of Chinese 'open' AI & related technologies, with so-called 'open weight' technologies (not all Chinese, of course) accounting for over half of token usage (but less than 15% of expenditure).
For the large proprietary AI-firms the time of expanding demand for their services may already be over?
If so, the investment over-hang may drive a crash?
Four people have sent me this job offer already. I'm not sure I can make it clearer: I really like what I do, I really hate what they do, and I don't want to work for the bad guys.
I already admired Associated Press for its stand on on the Gulf of Mexico and Lake Ontario. And now I’m admiring its stand on reporting about AI.
https://futurism.com/artificial-intelligence/ai-bros-meltdown-feelings
In the midst of heated discussions on AI safety and consciousness, the Associated Press Stylebook has reminded everyone of where it stands on the whole “anthropomorphism” debate.
“Artificial intelligence systems do not think, feel, want or understand. Avoid language that gives them human characteristics,” it wrote Wednesday in a post on X. “This is called anthropomorphizing, when we ascribe human traits, emotions or behaviors to non-human things, such as animals or inanimate objects.”
This didn’t go over well in the world of AI experts and adherents, whose nerves, shall we say, were collectively struck by what they characterized as a “completely insane” declaration.
A proposal at KDE's Akademy conference for an "AI-native KDE" ignited intense debate when developer Nate Graham opened a discussion on setting restrictions for #LLM-assisted code.
The thread quickly derailed as outside commentators argued over general AI ethics rather than the proposed rules, resulting in locked comments, media misinterpretations, and an external campaign pushing for a total LLM ban.
Graham clarified that the controversial "AI-native" presentation was made by inactive past contributors and does not represent the future direction of #KDE or #Plasma.
While acknowledging legitimate concerns about #LLMs, he appealed to the community to refrain from derailing future policy discussions with broader ideological battles over AI.
Meanwhile, the debate is spreading across the open-source ecosystem. #GNOME #developer Jordan Petridis has proposed a strict policy prohibiting LLM-generated or modified contributions across GNOME infrastructure, stressing that the project prioritizes human-centric collaboration and collective software development.
https://blogs.gnome.org/alatiera/2026/09/23/the-gnome-llm-policy-that-i-want/
which just goes to show: #ai is garbage and absolutely useless.
I still haven't found a use case for AI that actually holds up.
And yet they try to force it down everyone's throat because they NEED some return for their stunningly bad investment.
@rl_dane Many people online report their employers are forcing them to use said #technology in their day to day jobs. The decision has been made from the top to essentially abandon #thinking and use #AI. My employer, OTOH, has taken a different approach. Yes it's being used not to replace humans but as a force multiplier and it's optional. One needs to request access and justify a #business reason for it.
Yes, these tools are powerful and I recognize the potential they offer but I am still holding out. Not that I enjoy repetitive work but I enjoy using my #brain. At home I do use it but largely after other options have been exhausted.
One area where I can see myself leveraging it is #coding and #scripting. I've struggled with it for years. Besides not something I do nearly enough but after years of trying to learn I am just not getting it. And it's *utterly* frustrating. My brain does not learn the way it's taught. It's not hyperbole that I am "The Antichrist of Math and Coding." While it may sound contradictory because I said I enjoy using my brain, coding is also flat out not enjoyable. And for that, AI is a useful tool.
If it were any different, then I'd have the ability to code (and do other things) like Herbie Hancock can sit at the piano, improvise something jaw-dropping on the first take, and then walk away.
It’s galling that tech billionaires tell us that letting them destroy the climate to develop AI will allow AI to tell us (somehow? maybe? probably?) how to fix climate change. And even more frustrating that news outlets report this blather without so much as a wrinkled eyebrow.
MY DUDES WE ALREADY KNOW HOW TO FIX CLIMATE CHANGE. We stop spewing carbon into the air; install solar, wind, hydro, geothermal, and other renewable energy generation; build mass amounts of efficient public transit; and stop funding industries that dig fossil fuels out of the ground.
AND WE STOP DOING AI.
We already know how to fix climate change, and we aren’t doing it. Even if some superintelligent chatbot COULD figure out how to fix the problem after we turn our world into an absolute oven, it’s bold to assume we would listen to good advice then, because we (including techbros, ESPECIALLY techbros) aren’t even listening to good advice TODAY.
These people are tedious liars and scam artists.
Rather poignant comment on that thread:
“It is artificial, but is not intelligent. Language arose from intelligence, not the other way around.”
I hadn't thought about it in quite those terms before, but that person is correct. LLMs can never be true #AI because they're based on language processing. In an actually intelligent being, language isn't intelligence; it's merely how intelligences communicate. It's like making an Ethernet port and calling it a “CPU”.
Bezeichnend für den Stand der Debatte, wenn man als KI-Sicherheitsforscher betonen muss, kein „Al Doomer" zu sein, bevor man über die eigene Forschung zu den aktuellen Risiken sprechen kann.
Entsprechend sind auch die Kommentare unter meinem Text, der gerade Aufmacher bei der Zeit ist: mein Eindruck ist, dass überhaupt keine differenzierte Debatte mehr möglich ist, denn man wird sofort in eine Schublade gesteckt.
Erstmal Freebie hier und 🧵
https://www.zeit.de/digital/2026-09/ki-agenten-abschaltung-kontrolle-kill-switch-thilo-hagendorff?freebie=85907372
@stefano Since there are no rules without exceptions, please meet my favourite #llm “Sloppy”! He’s super cute and absolutely useless! He embodies everything I think about #AI and #AISlop. He probably sucks at analysing data sets too. He just want to eat his dripping ice cream - and probably also smoke some weed. #Art #OilPainting #Painting #Robot
Peachy Pie Fae [Was gonna be funny but snark is all I got and that ain't nice.] » 🌐
@mildpeach@mstdn.social
@eff @jrdepriest #AI or artificial stupids as I call it, is nothing more or less than an effiecient vehicle for corps to extract money as fast as possible. To the AS, you’re nothing but a revenue source whether you are a government, business, or person. Anything than could make you cough up more cash makes you a special target#
#WiseUpPeople
Want to make sense of the AI doom loop? The Guardian says you should should check out my forthcoming book HYPERSCALE.
“This is a deep investigation into the physical impact of AI data centers around the world.”
Preorder now: https://hyperscalebook.com
Check out the full list: https://www.theguardian.com/books/2026/sep/17/ai-doom-books-reading-list
#tech #ai #artificialintelligence #datacenters #reading #books #newbook
AI data centre fires overwhelm emergency responders - YouTube
https://www.youtube.com/watch?v=g0ZzwvnNi2U
Blog post:
https://pivot-to-ai.com/2026/09/17/ai-data-centre-fires-overwhelm-emergency-responders/
by @davidgerard
Ireland = Big Tech’s bitch
EU = ?
“AI: EU Member States plan ‘digital expropriation’ of Europeans in the interest of AI companies
In a leaked document, the Irish Presidency proposes to EU Member States that the interest of OpenAI, Anthropic, Google, Meta and SpaceX to make profits should take precedence over the fundamental right to data protection. Use of personal data ‘in the context of AI’ should automatically be lawful. There seems to be wide informal agreement by many Member States. In particular, Big Tech would be able to use all personal data collected over the past decades with virtually no restrictions, as long as this happens ‘in the context’ of AI.” – @noybeu
https://noyb.eu/en/ai-eu-member-states-plan-digital-expropriation-europeans-interest-ai-companies
Hey, @EUCommission, you Big Tech’s bitch too? Shall we just do away with all this “human rights” and “democracy” malarkey and let you guys breathe a little?
#ireland #eu #BigTech #GDPR #AI #privacy #humanRights #democracy
Most #AI systems portrayed in Sci-Fi are evil, one way or another. One interesting exception is the ship AI computer "Nell" in Roger Corman's "Battle Beyond the Stars" (1980). She's feisty but knows her stuff.
This film is often ignored as being a simple "Star Wars" ripoff from the period, but actually is a fascinating film in many ways. It's widely considered to be a remake of "The Magnificent Seven" (1960), which itself is considered to be a remake of "The Seven Samurai" (1954). So, from feudal Japan, to the Old West, to Outer Space. Very cool.
Bonus Fact: Actor Robert Vaughn had a major role in both TMS and BBtS, playing a similar kind of character in both!