Much of AI "productivity gains" come from managers implicitly trusting an LLM to do a good job, and suspending the onerous micromanagement that humans employees get subjected to.

You can do that without paying Anthropic a single penny. It just requires letting the experts you hired do their jobs.

I believe that vibe coding — irrespective of whether it’s useful for enterprises, which I doubt — is being marketed towards consumers in a deeply unethical way. One that’s worryingly reminiscent of multi-level marketing schemes like Herbalife and Amway, or the crypto grifts of the 2010s.

I believe that Replit’s decision to target younger people at a time when they’re struggling to find work, or are convinced that the future workplace has no use for them, is deeply predatory.

Any creator that promotes Replit without being transparent about the likelihood of building a million-dollar app, or about the costs of building software with AI, is either willingly complicit in a cynical, harmful scam, or otherwise promoting a technology that they themselves do not understand.

Die Daten müssen laufen und nicht die Bürgerinnen und Bürger“, so Digitalisierungsstaatssekretär Alexander Pröll (ÖVP) bei einem gemeinsamen Foyer nach dem Ministerrat mit dem Staatssekretär im Innenministerium, Jörg Leichtfried (SPÖ), und dem für Entbürokratisierung zuständigen Staatssekretär Josef Schellhorn (NEOS).

Dazu beitragen soll u. a. eine Novelle des Allgemeinen Verwaltungsverfahrensgesetzes, die schon bald im Nationalrat beschlossen werden soll. Sie ermöglicht Behörden in Bund, Ländern und Gemeinden den Einsatz von Chatbots, digitalen Assistenten und automatisierten Verfahren ohne Antrag, etwa nach der Geburt eines Kindes.

One of the issues in during this research—one that has perplexed me—has been that many people are convinced that language models, or specifically chat-based language models, are intelligent.

…

LLMs are not brains and do not meaningfully share any of the mechanisms that animals or people use to reason or think.

LLMs are a mathematical model of language tokens. You give a LLM text, and it will give you a mathematically plausible response to that text.

There is no reason to believe that it thinks or reasons—indeed, every AI researcher and vendor to date has repeatedly emphasised that these models don’t think.

…

Many of the proposed use cases now look like borderline fraudulent pseudoscience to me.

The intelligence illusion seems to be based on the same mechanism as that of a psychic’s con, often called cold reading. It looks like an accidental automation of the same basic tactic.

By using validation statements, such as sentences that use the Forer effect, the chatbot and the psychic both give the impression of being able to make extremely specific answers, but those answers are in fact statistically generic.

In Oberösterreich droht ein großes Fischsterben. Die Pegelstände in Flüssen und Bächen sinken dramatisch. Beobachtet wird das unter anderem in der Gemeinde Helfenberg (Bezirk Rohrbach). Heimische Fischer befürchten das Schlimmste, denn nennenswerte Regenmengen werden vorerst nicht erwartet.

Anthropic muss seine KI-Modelle Fable 5 und Mythos 5 für alle Kunden weltweit abschalten. Auslöser ist nach Darstellung des Unternehmens eine Exportkontrolldirektive der US-Regierung, die am 12. Juni 2026 eingegangen sei und ausländischen Staatsangehörigen den Zugriff auf beide Modelle untersagt – auch ausländischen Anthropic-Mitarbeitern innerhalb der USA. Alle übrigen Claude-Modelle seien von der Anordnung nicht betroffen. Die Maßnahme reiht sich in eine bereits zuvor eskalierte Auseinandersetzung zwischen Anthropic und Teilen der US-Sicherheitsbürokratie ein.

Wie Anthropic in einer Stellungnahme erklärt, habe die Behörde keine konkreten technischen Details zu den angeführten nationalen Sicherheitsbedenken genannt. Nach dem Verständnis des Unternehmens geht die Regierung davon aus, dass eine Methode existiere, um Fable 5 zu „jailbreaken“, also dessen Schutzmechanismen zu umgehen. Anthropic bezeichnet die Maßnahme als „Missverständnis“ und arbeitet an der Wiederherstellung des Zugangs.

… the language we are using about AI adoption is very similar to how Clayton Williams described rape.

“It’s happening whether you want it or not.”

“Better get on board if you know what’s good for you.”

“If you want to keep working here, this is what it takes.”

“You can’t yell it away.”

“It’s inevitable, just relax and enjoy it.”

Am I comparing AI to rape? I am not. I am, however, comparing the language we use when discussing AI adoption to the language of rape culture. It’s the language of coercion. Language that implies a lack of choice and reminds you of the power those who are using it have over you. A lack of agency. It’s language that does not rely on consent, but instead the idea that we are bereft of choices, so we might as well get with the program.

In this post, we’re going to explore how the company Bright Data facilitates modern AI models scraping training data from the Internet using its residential proxy network.

Bright Data is a data-collection company that sells access to what it markets as the world’s largest residential proxy network of 400M+ home IP addresses that its customers route web-scraping traffic through. The supply behind that network comes from an SDK: a piece of software embedded in consumer apps that, with the user’s consent, turns their phone or smart TV into one of those exit nodes.

We’ll document what you, the average user, should know about what this company’s SDK does on your systems such as your mobile phone and your smart TV. We’re going to explore how their SDK works, which platforms have shipped it, and why your Internet-connected TV is the ultimate proxy for AI models looking to train on data scraped from the Internet.

lessons learned:

• anthropic's LLM assumes the persona of rich liberal who will only listen to you if you're nice
• which is to say, if you're too forceful or strict, the LLM will ignore everything you say and will become adversarial
• anthropic's LLM is literally "the absence of tension is the presence of justice"
• we live in a society

https://codeberg.org/queer-computer-club/doorbot/src/branch/doorbot-pro-max-ultra-deluxe-se/AGENTS.md

I found GitHub repositories that were spreading malware. I asked AI what to do about it, but it gave me nothing useful. So I opened a discussion on GitHub. Someone replied. It was the exact same text the AI had given me. I called it out and the comment was deleted. Then another person replied. It was the same AI answer again.

I worked as a developer at a company. I asked the business owner a question about a business task. He sent me a ChatGPT screenshot with the answer. I replied that it had nothing to do with my question and everything there was wrong. A minute later he sent me another ChatGPT screenshot. He didn’t even read the AI’s answer. He just took a screenshot and forwarded it to me.

Recently someone messaged me on Reddit about my post. I replied. They wrote again, I replied again. After a few messages I realized I was talking to an AI agent.

I’m tired of talking to AI.
I want to talk to real people.
But even when I talk to people, they forward my questions to AI and send me the AI’s answer.

This is the job now. You're standing on a burning ship, holding a map, trying to figure out where the hell we're going and how we're going to get there.

There are no more juniors. There was a funeral for their passing in 2024. Nobody came. The machine does what they do now, but cheaper. Of course, juniors weren't valuable for what they produced, they were valuable for who they would become: the senior engineer who knows where the bodies are buried. We optimized for output, and abolished apprenticeship. A few years from now, we'll wonder where all the seniors are. We shot them. Nobody will remember.

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.

LLMs are not brains and do not meaningfully share any of the mechanisms that animals or people use to reason or think.

LLMs are a mathematical model of language tokens. You give a LLM text, and it will give you a mathematically plausible response to that text.

There is no reason to believe that it thinks or reasons—indeed, every AI researcher and vendor to date has repeatedly emphasised that these models don’t think.

The ground is shifting underneath every industry that was built on the assumption that the US would protect and preserve the globalised status quo. The software industry has shifted its entire value proposition from “we make tools that help you make or save money” to using political clout and the dollar hegemony to capture, control, and loot entire sectors of the various economies of the world. That strategy only works when you’re in charge.

It’s impossible to guess what exactly will happen next to software or tech. All I know is pretty much all of modern software is built on a premise that no longer holds. Even free and open source software is contingent on everybody agreeing to similar policies regarding copyright. Whether tech has enough clout on its own to continue its strategy of capture and control, whether it compromises with local governments to retain its power, whether we’re in for a period of collapse and fragmentation is anybody’s guess. The old world is dying and the new cannot be born.

Bosses betting on AI to slash headcount and boost margins are discovering an uncomfortable truth: the strategy isn't working.

New research from Gartner lays out the problem in stark terms. The analyst firm surveyed 350 global businesses - all with annual revenues above $1 billion, all piloting or deploying intelligent automation - and found that around 80 percent had cut staff as a result.

The returns? Elusive. Companies that reduced their workforces were just as likely to see negative outcomes or marginal gains as they were to generate any meaningful return on investment (ROI).

John Oliver just did what he did best: demolished a harmful industry piece by piece.

On the latest episode of his HBO show “Last Week Tonight,” Oliver tore into AI chatbots, those oh-so helpful tools that can sure save us “significant time writing emails,” he opened, with the small cost of “everything else on Earth.”

“The more you look at chatbots, the more you realize that they were rushed to market with very little consideration for the consequences,” he warned, on a more serious note.

“The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative developments,” the researchers write in the paper. “We find that by mid-2025, roughly 35% of newly published websites were classified as AI-generated or AI-assisted, up from zero before ChatGPT's launch in late 2022.”

„Es wird befürchtet, dass die zunehmende Verbreitung von KI-generierten und KI-unterstützten Texten im Internet zu einer Verringerung der semantischen und stilistischen Vielfalt, der sachlichen Genauigkeit sowie zu weiteren negativen Entwicklungen beitragen könnte“, schreiben die Forscher in ihrer Studie. „Wir haben festgestellt, dass bis Mitte 2025 etwa 35 % der neu veröffentlichten Websites als KI-generiert oder KI-unterstützt eingestuft wurden, während dieser Anteil vor der Einführung von ChatGPT Ende 2022 noch bei null lag.“

Nur weil Modelle wie Claude Mythos mit enormer Lautstärke auf den Markt kommen, krempeln diese die IT-Landschaft nicht von heute auf morgen um, erklärt der IT-Sicherheitsexperte Manuel 'HonkHase' Atug

…

Sicherheit ist ein Prozess und kein Zustand. Wer also weiß, wie er präventiv und reaktiv agieren muss, weil alle Prozesse existieren und die Abläufe geübt werden, der weiß auch, wie er einen Angriff übersteht, ohne Panik haben zu müssen.

Diese Person hatte keine Ahnung, was sie gebaut hatte oder welche Konsequenzen das haben könnte. Die Daten lagen nicht nur offen da: sie wurden auf einem US-Server ohne Auftragsverarbeitungsvertrag unverschlüsselt gespeichert, Sprachaufnahmen wurden an grosse US-amerikanische AI-Unternehmen gesendet, und ich wurde nie darüber informiert. So geht man nicht mit medizinischen Patientendaten um.

October 2025: Sam Altman flies to Seoul and signs simultaneous deals with Samsung and SK Hynix for 900,000 DRAM wafers per month. That's 40% of global supply. Neither company knew the other was signing a near-identical commitment at the same time.

Those deals were letters of intent. Non-binding. No RAM actually changed hands. But the market treated them as gospel. Contract DRAM prices jumped 171%. A 64GB DDR5 kit went from $190 to $700 in three months.

December 2025: Micron kills Crucial, its 29-year-old consumer memory brand, to reallocate every wafer to AI and enterprise customers. The company explicitly said it was exiting consumer memory to "improve supply and support for our larger, strategic customers in faster-growing segments." Translation: the AI demand signal was so loud that selling RAM to PC builders stopped making financial sense.

March 2026: Google publishes TurboQuant, a compression algorithm that reduces AI memory requirements by 6x with zero accuracy loss. Cloudflare's CEO called it "Google's DeepSeek." The entire thesis that AI would consume infinite memory forever just got a six-month expiration date on it.

Same month: OpenAI and Oracle cancel the Abilene Stargate expansion. The $500 billion data center vision that justified the RAM deals couldn't survive its own financing terms. Bloomberg attributed the collapse partly to OpenAI's "often-changing demand forecasting."

MU is now down ~33% from its post-earnings high. Revenue up 196% year over year, EPS up 682%, and the stock is in freefall because the company restructured its entire business around a demand signal that came from non-binding letters and is now being compressed out of existence by a research paper.

Micron bet the consumer division on Sam Altman's signature. The signature was worth exactly what the paper said: nothing binding.