This shit creeps me out. We need to stop this now, before it kills everyone.

https://www.theguardian.com/technology/ng-interactive/2026/feb/28/chatgpt-ai-chatbot-mental-health
> Ceccanti’s decline was so dramatic that his wife and friends wondered if he had early onset dementia or a tumor. “All of a sudden, his cognition had dramatically fallen,” said Fox. “His working memory was crap, and his critical thinking had diminished, and so we were all worried.”
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#ai #butlerianJihad

In this CNI presentation, 📚 Library Collections at Scale: Building Research-Ready Collections, two projects take the stage. A Harvard team shares their work on processing library collections at scale for broad research and #AI training, while a team from Brown dives into "Hall-Hoag at Scale: Taming 800,000 Pages." The session wraps up with a lively discussion and Q&A—including gems like "Our job is to make the good path and the easy path the same path." -Greg Leppert 💡 https://youtu.be/EnHjWEwnCUg

A new version of Pearl is available!

I worked basically non-stop for the past 3 days to bring Pearl up to speed with all of the feedback I've been given.

Linux users now have a simple install for Docker and Kokoro, enabling enhanced TTS.

Both Windows and Linux users will also notice a more responsive and bug-free UI, along with helpful uninstall buttons in settings.

Thank you so much!

#AI #Pearl #Software

Download: https://github.com/pdschneider/Pearl/releases/tag/v0.2.3

So I don’t really want to hate on LLMs or generative AI in this post, but I am curious about alternatives to LLMs for code generation. What I particularly have in mind is how LLMs are pretty good at calling up code examples and fitting them into your code base.

Has anyone tried just creating a very large database with millions of code examples or code snippets, perhaps tagged with keywords pertaining to what the code does, and letting people search code by tag and automatically paste it into your file? If StackOverflow has been mined for LLM training data, can’t we just take that StackOverflow training data and parse-out the code snippets and generate such a database?

If LLMs coding tools like #Cursor, #Claude, #Copilot, Cody, etc. are basically doing that using statistical algorithms, couldn’t we do the same thing with ordinary symbolic computation and a clever little editor plug-in with good UI/UX design for the copy-pasting?

Does anyone know if such tools/databases already exist?

I’ll tag @screwlisp and @kentpitman on this one because I am especially curious about what you think about it.

#tech #software #AskFedi #CodingAssistant #LLM #AI #GenerativeAI

The Linux Foundation introduces the OCUDU Ecosystem Foundation, advancing the next chapter of AI-RAN innovation through open collaboration.

OCUDU unites industry, research, and public sector leaders to accelerate trusted 5G evolution and help shape the path to 6G.

Open source moving from vision to infrastructure.

Learn more: https://www.linuxfoundation.org/press/linux-foundation-announces-ocudu-ecosystem-foundation-to-accelerate-open-source-ai-ran-innovation?_gl=1*1u05qfq*_up*MQ..*_ga*MTIxMDUzMjcxNy4xNzcyNTU3MTgz*_ga_FBYHX832ZD*czE3NzI1NTcxODIkbzEkZzEkdDE3NzI1NTcxOTAkajUyJGwwJGgw*_ga_BKD8K5CRV0*czE3NzI1NTcxODIkbzEkZzEkdDE3NzI1NTcxOTAkajUyJGwwJGgw

https://ocudu.org/

#OpenSource #AI #RAN #5G #6G #WirelessInnovation #Telecom

AI in IVF could be “awesome, or terrifying.”

Randomized trials show AI tools picking embryos almost as well as humans—but 10x faster. But who will control the algorithm? Phineas Rueckert digs into the new fertility frontier in our latest #Longreads piece: https://longreads.com/2026/03/03/ivf-and-ai-infertility/?utm_source=mastodon&utm_medium=social

#AI #IVF #fertility #AItools #algorithm #writing #reported #essays

The U.S. was once dominant in the shipbuilding industry. Now, the U.S. produces less than one percent of ships globally. #AI can be used to increase American shipbuilding capacity, notes Sen. Moreno at today’s Senate Subcommittee hearing.

@nixCraft What if that evil AGI started deleting its own code, just like what happened with #Amazon #data recently? 😅

I think an Evil #AI is at least many decades away, if not centuries.

ChatGPT uninstalls surged by 295% after DoD deal

https://techcrunch.com/2026/03/02/chatgpt-uninstalls-surged-by-295-after-dod-deal/

#news #tech #technology #AI #openai #chatgpt #aislop #politics #trump #maga

Today’s top tech story covers an update on OpenAI’s Pentagon contract following canceled ChatGPT subscriptions that saw Anthropic take the top spot in Apple's App Store.

https://flip.it/gpkuvb

Check out more stories like this in our Top Stories in Tech Magazine, curated daily by human editors.

https://flipboard.com/@thenewsdesk/top-stories-in-tech-lipvqk8vy

#AI #OpenAI #Anthropic #TechNews

@nixCraft

The learning gets reinforced when you're witnessing that you keep getting away with BS. Many things do no longer have to effectively work, but just to look as if they were.

The only exception being when there are physical (e.g., medical) or financial consequences that hit individual users, directly.

Accountability is key here. Being held financially accountable for the recommendations or decisions of the "#AI" you're selling would be a game changer.

First meeting of the day.

Title: "Review Software Test Plan".

Actual topic of meeting: "Review this thing my LLM spat out, which looks a bit like a software test plan, but completely fails to include any details of how we actually do things, or even what the project is about."

#AI #LLM #BangHeadHere

Daily Digest | 3 March 2026

Your daily dose of Privacy, Data Protection, AI & Cybersecurity news.

5 stories you should not miss.

Read more: https://www.nicfab.eu/daily-digest/

#Privacy #AI #GDPR #Cybersecurity #TechLaw

Meta’s AI Smart Glasses and Data Privacy Concerns: Workers Say “We See Everything”

Bank details, sex and naked people who seem unaware they are being recorded. Behind Meta’s new smart glasses lies a hidden workforce, uneasy about peering into the most intimate parts of other people’s lives.

👓 https://www.svd.se/a/K8nrV4/metas-ai-smart-glasses-and-data-privacy-concerns-workers-say-we-see-everything

#meta #aismartglasses #dataprivacy #spy #datapractice #ai #lies #privacy #naked #smartglasses #spyware #spying #dataprivacy #weseeyou

"According to a source familiar with the negotiations, on Friday morning, Anthropic received word that Hegseth’s team would make a major concession. The Pentagon had kept trying to leave itself little escape hatches in the agreements that it proposed to Anthropic. It would pledge not to use Anthropic’s AI for mass domestic surveillance or for fully autonomous killing machines, but then qualify those pledges with loophole-y phrases like as appropriate—suggesting that the terms were subject to change, based on the administration’s interpretation of a given situation.

Anthropic’s team was relieved to hear that the government would be willing to remove those words, but one big problem remained: On Friday afternoon, Anthropic learned that the Pentagon still wanted to use the company’s AI to analyze bulk data collected from Americans. That could include information such as the questions you ask your favorite chatbot, your Google search history, your GPS-tracked movements, and your credit-card transactions, all of which could be cross-referenced with other details about your life. Anthropic’s leadership told Hegseth’s team that was a bridge too far, and the deal fell apart. Soon after, Hegseth directed the U.S. military’s contractors, suppliers, and partners to stop doing business with Anthropic. The list of companies that contract with the military is extensive, and includes Amazon, the company that supplies much of Anthropic’s computing infrastructure. The Department of Defense did not respond to a request for comment. A spokesperson for Anthropic referred me to the company’s statement addressing Hegseth’s remarks."

https://www.theatlantic.com/technology/2026/03/inside-anthropics-killer-robot-dispute-with-the-pentagon/686200/

#USA #Trump #Pentagon #DoD #DroneWarfare #AI #GenerativeAI #Anthropic #Claude

In 2023, Danish psychiatrist Dr. Søren Dinesen Østergaard predicted that human-like chatbots like ChatGPT could stand to reinforce delusions and hallucinations in people “prone to psychosis.” Recently, Østergaard led a study that found chatbot use indeed appeared to deepen symptoms of mental illness and was especially true for patients prone to delusions or mania. @Futurism has more:

https://flip.it/UARJYt

#Tech #AI #Chatbots #Health #MentalHealth #Technology #ArtificialIntelligence

What are Meta glasses really recording? The Swedish newspaper Svenska Dagbladet reports on data annotators in Nairobi, Kenya. They're the manual laborers of AI, whose job is to make smart glasses more "intelligent" by visually checking images. They're seeing more than they want to, from bank card numbers to naked bodies.

https://flip.it/n_IdI6

#Technology #Tech #Meta #ArtificialIntelligence #AI

https://open.substack.com/chat/posts/52992b21-c09e-49b8-8025-65bc2ced0ace

If the property that distinguishes minds is ineffable and therefore not empirically testable, how is the claim that humans possess minds but AI or other animals do not anything more than a stipulation?

https://brywillis634737.substack.com/p/the-matter-of-the-mind

Respond in the thread, read the article, or both.

#philosophy #mind #philosophyofmind #AI #thinking #intelligence #people #apophasis #blog #podcast #discussion #thread #substack #subscribe #junk #writing

Who’d a thunk it?

“The law doesn’t say what Sam Altman claims it does.”

How OpenAI caved to the Pentagon on AI surveillance
#Tech #AI #politics
https://www.theverge.com/ai-artificial-intelligence/887309/openai-anthropic-dod-military-pentagon-contract-sam-altman-hegseth

Anthropic's Claude AI has taken the top spot in Apple's App Store, dethroning OpenAI's ChatGPT. This comes after Anthropic's public battle with the U.S. Department of Defense and speculation over the use of the technology in the military. PCMag has more on why OpenAI's popularity could be sliding amid today's AI race.

https://flip.it/u3moHm

#AI #Anthropic #OpenAI #TechNews

Daily Digest | 2 March 2026

Your daily dose of Privacy, Data Protection, AI & Cybersecurity news.

5 stories you should not miss.

Read more: https://www.nicfab.eu/daily-digest/

#Privacy #AI #GDPR #Cybersecurity #TechLaw

#OpenAI is now officially data supplier for the Pentagon and is very proud of it!

Your Data flows directly to the U.S. Department of War! #ChatGPT

--> Delete your Account!

https://openai.com/index/our-agreement-with-the-department-of-war/

#US #Surveillance #KI #AI #Technology #Tech #War #Data #Privacy

Alt...

Prohibition sign with crossed-out OpenAI logo in a red circle

You Dont Actually Have Claude Code Skills

#AI #dumbpeople

https://mtwb.blog/posts/2026/drafts/you-dont-actually-have-claude-code-skills/

“Thanksgiving Day,” Igor Alferov’s short film, won first prize at the inaugural Frame Forward AI Animated Film Festival last week. Part of the prize involved getting a national two-week run in theaters with several major chains, including AMC Theaters. But after a moviegoer revolt, AMC said it would not longer run it in the U.S. @Futurism has more:

https://flip.it/v1bsyy

#Tech #AI #Film #Technology #ArtificialIntelligence

"Hegseth is not behaving like a normal political actor. He is indulging in ego, intimidation, and dickwaving theatrics. Hegseth does not want to look like he can be micromanaged by Anthropic’s esoteric morality police; this “saving face” matters more to him than actually securing the country. Hence the deal with Altman, who unlike Amodei, is willing to kiss the ring. Altman shows up at Mar-a-Lago and calls Trump “incredible for the country.” In his announcement, he praises the DoW’s “respect for safety,” while Amodei called out their intimidation. Altman defers; Amodei doesn’t. These things matter. They show Altman can be worked with (or more cynically, controlled).

To be clear, I don’t think this is how any tech leader wants to work with the government. It doesn’t matter if you’re tech right, effective altruist, a profit-maxxing mercenary, whatever: it is terrifying that the US government may try to destroy your whole business if you set any requirements for how your products are used, and that federal contracts no longer mean things and can be ripped apart whenever. (It is terrifying for the public that the Pentagon is throwing this fit over the right to mass surveillance and killer bots.)

The question is—given how petty and personalistic Hegseth and Trump and co. are—whether American executives still have any choice.

Politics has always been one of Silicon Valley’s blind spots. Over the last ten years, in the wake of the techlash and social media and antitrust trials, tech leaders have realized how beholden they are to government power."

https://jasmi.news/p/ai-pentagon

#USA #Pentagon #DoD #Trump #AI #GenerativeAI #Anthropic #BigTech #OpenAI

After talks between Anthropic and the Pentagon fell through Friday, OpenAI quickly announced that it had reached a deal of its own with the department. But if OpenAI is using the same safeguards Anthropic would have, why was it able to reach a deal? OpenAI CEO Sam Altman now says the deal was rushed and “the optics don’t look good.” More from @Techcrunch:

https://flip.it/m-TFmM

#Tech #OpenAI #AI #Anthropic #Technology #Pentagon #ArtificialIntelligence

@cenobyte

I'm with you on hoping to hear Sabine opine on this.

I've read some more of the stuff in the repo - text and code. It's still just about all over my interested-layman's head. But I want it to be true, or at least true-ish enough to point the way to additional threads to pull on with other researchers.

I really hope that this isn't just a big joke, and the text isn't just LLM jibberish from a model trained on physics papers.

> I personally don’t think of an observer as a person but rather then entanglement
> of systems and how it spreads.

I've never liked the term "observer" or "observe" as used in theoretical physics (the waveform collapses when the observer looks at the result, etc), because it does seem to imply an intelligence or an id, though that might just be linguistic baggage.

I tend to think of it more like Einstein's relativity. An observer there can be thought of more as just a vantage point. There doesn't need to be a person there to do the looking, but if you happened to stand there, you would see a particular "view" of the universe. From another vantage point, a theoretical observer would "see" a different view of the same events. But what do I know, I'm no physicist.

#LLM #AI #hoax

A new version of Pearl is available!

This time around, I added the option to check for new versions on startup, making it much easier to upgrade. I also fixed a couple of major bugs and added a helpful uninstall button for Ollama.

#AI #Chatbot #Pearl

Download: https://github.com/pdschneider/Pearl/releases/tag/v0.2.2

The Tumbler Ridge Shooting Was Tragic. Making it an Excuse for Government Surveillance Would Be Too

OpenAI has been in the news here in Canada for a while thanks to the Tumbler Ridge shooting and how much it should disclose to the government.

https://www.freezenet.ca/the-tumbler-ridge-shooting-was-tragic-making-it-an-excuse-for-government-surveillance-would-be-too/

#News #Privacy #Security #AI #BC #Canada #government #LawfulAccess #LLM #OpenAI #TumblerRidge #WarrantlessWiretapping

Look, #AI companies today are BLEEDING money. OpenAI, in particular, has resorted to all kinds of circular “investments” that don’t actually give them any more cash to pay their employees and data center construction companies. They rely on constant injections of cash to stay in business, without a clear path to profitability. This creates a virtually irresistible incentive to embed their products into *government* institutions, so they can suckle on the teat of taxpayer funding.

Which is why I was quite pleasantly surprised when #Anthropic made a moral stand against the use of their products for surveillance and killing, and why I was not at all surprised when #OpenAI did the exact opposite (despite what they claimed their agreement said).

https://techcrunch.com/2026/02/28/openais-sam-altman-announces-pentagon-deal-with-technical-safeguards/

Hackers Expose The Massive Surveillance Stack Hiding Inside Your “Age Verification” Check

https://www.techdirt.com/2026/02/25/hackers-expose-the-massive-surveillance-stack-hiding-inside-your-age-verification-check/

‚Mandatory age verification creates massive, centralized honeypots of sensitive biometric data that will inevitably be breached. Every single time. And every single time it happens, the politicians who mandated these systems and the companies that built them act shocked—shocked!—that collecting enormous databases of government IDs, facial scans, and biometric data from millions of people turns out to be a security nightmare....‘

#Surveillance #AgeVerification #Privacy #Data #technology #AI #KI

We must fight age verification with all we have

#AgeVerification laws exploit the moral panic over social media and mental health to repackage old censorship tactics under the guise of protecting children.

'I’ve been talking a lot over the past couple weeks about what an unmitigated disaster the rollout of identity verification has been in the U.K. I wrote a whole piece about it for The Guardian and a story about how these “child safety” crackdowns are a gift to big tech in Zeteo.

The UK’s rollout shows how #digitalID systems lead to mass censorship. They serve those in power, harm human rights, and we have to do everything we can to fight their expansion in the U.S.

Today, I’m excited to present a guest post by Cynthia Conti-Cook, Rebecca Williams, and Pratika Katiya. These three women are doing incredible work fighting back against the surveillance state....'

https://www.usermag.co/p/we-must-fight-age-verification-with

#Tech #Technology #AI #UK #EU #Surveillance #Privacy #Data

OpenAI CEO announced Friday that his company had reached an agreement with the Pentagon for use of its AI models for classified work. The deal follows the high-profile standoff between the department and OpenAI’s rival Anthropic. Read more from @Techcrunch:

https://flip.it/LcB4Zu

#Tech #OpenAI #Pentagon #AI #Anthropic #Technology #ArtificialIntelligence

In this developer diary I revisit the Episodic Memory system and figure out how to observe its results so I can actually debug the thing ...

https://writerofminds.blogspot.com/2026/02/acuitas-diary-94-february-2026.html

#ArtificialInteligence #AI #NLP #SymbolicAI #chatbots

Alt...

Art piece: colored pencil and ink. A horizontal view, half-underwater, half-overwater, of the "beach" of a coral atoll. Everything is rendered in brilliant blues. Above the water, the atoll in the distance rears up into shapes that somewhat resemble chess pieces: a castle, a knight, a pawn. Surf crashes against one side of the atoll; a steamship is riding the crest of a wave toward it. Below the water, the branching hard corals are visible close up; they have multicolored, faceted surfaces, like cracked glass. A chessboard also lies on the sea bottom, partly covered by coral crust. The board is set in the midst of play, but not with the traditional pieces; these pieces resemble paws, hands, tentacles, tree stumps, and other oddities.

Large-scale online deanonymization with LLMs

"We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given pseudonymous online profiles and conversations alone, matching what would take hours for a dedicated human investigator. We then design attacks for the closed-world setting. Given two databases of pseudonymous individuals, each containing unstructured text written by or about that individual, we implement a scalable attack pipeline that uses LLMs to: (1) extract identity-relevant features, (2) search for candidate matches via semantic embeddings, and (3) reason over top candidates to verify matches and reduce false positives. Compared to prior deanonymization work (e.g., on the Netflix prize) that required structured data or manual feature engineering, our approach works directly on raw user content across arbitrary platforms. We construct three datasets with known ground-truth data to evaluate our attacks. The first links Hacker News to LinkedIn profiles, using cross-platform references that appear in the profiles. Our second dataset matches users across Reddit movie discussion communities; and the third splits a single user’s Reddit history in time to create two pseudonymous profiles to be matched. In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for the best non-LLM method. Our results show that the practical obscurity protecting pseudonymous users online no longer holds and that threat models for online privacy need to be reconsidered."

https://arxiv.org/html/2602.16800v1

#AI #GenerativeAI #LLMs #Anonymity #Privacy #Deanonymization