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Occupy Wall Street Co-Founder Built an On-Device AI For Activists
An anonymous reader quotes a report from Gizmodo: In an era where Silicon Valley’s conservatism is both expressed openly and becoming more intense by the day, it’s strange to think that tech was once seen as a hive of liberalism. The right-wing nature of today’s tech industry means that its products tend to also be seen as serving right-wing int … ⌘ Read more

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Trump Loses More Control Over AI Regulation As Illinois Passes Landmark Law
Illinois lawmakers on Wednesday passed a landmark AI safety bill (SB 315) that would require major AI companies to publish safety plans, submit annual third-party testing reports, report serious incidents quickly, and protect whistleblowers who flag emerging risks. OpenAI and Anthropic supported the bill, which could make Illi … ⌘ Read more

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In-reply-to » I’ve started collecting reasons against AI usage here, so I don’t have to repeat myself all the time:

@lyse@lyse.isobeef.org Thanks! There are a few points in there that I’ll add to my list.

Your very first point is obviously crucial. “Writing code” is just the means to an end for many people and they don’t really care about it or like it, so they love AI. I had this in another draft (it refers to the other list I posted):

https://movq.de/v/614f14c3ef/ramble.txt

And this right here is so important:

simplicity is the real art and much harder to achieve.

Finding an elegant, simple solution is waaaaaaaaaaaaaaaaaay harder than anything else. And here’s the thing: I don’t get why nerds/techies don’t get “nerd-sniped” by this. A lot of people love building big stuff and then brag about being clever/competent because they were able to build that big thing – but once you realize that this approach is the lazy one, shouldn’t you make finding the elegant solution your goal? Doesn’t that give you more bragging rights?

(Am I being clear? Do you understand what I mean? 😅)

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In-reply-to » I’ve started collecting reasons against AI usage here, so I don’t have to repeat myself all the time:

Of course, @movq@www.uninformativ.de! Most of my points are also included in your list.

First of all, programming is what I really do enjoy the most. So, it doesn’t make any sense at all to not do this anymore. “But you could use your now free time to do something much cooler and more valuable!”, others might reply. Fuck no, I don’t want to waste my time with other shit that doesn’t fulfill me, why on earth would I want to do that?

All this hallucination reduces quality badly. In my experience, it’s also happening much more rapidly than I expected. Even though developers are still supposed to own and understand whatever has been generated under their name and even be responsible for that, the sad reality is that teammates often blindly trust the AI output. “But I asked the AI and it told me that $this was impossible”, “I’ve no idea either, but the AI just generated it” are responses I get more often. What really makes my angry is when I point out a flaw and suggest an alternative and this is the reaction. It happened several times that just trying it out and seeing it clearly work to proof my point only took me half a minute, but people still did something handwavy else instead.

The learning effect is drastically reduced. The more time I spend on a topic, the better the odds that whatever I learned actually makes it over into long-term memory. It’s like if a collegue just says “do it like that” or “this solves your problem”, but neither explains the why or how. Somehow, people are still convinced that it’s a completely different story when you replace the human counterpart with a computer program in this equation.

Skills are unlearned. It’s like with automation in general, just much worse. You end up in a state where you’ve no clue how anything works under the hood or how to actually find out important information that are needed to solve your problem. You’re screwed when a process breaks out of the blue. Even though it can become also rather terrible, with classical automation you’re typically still be able to decipher how exactly the thing was supposed to do something.

The energy consumption is sooo high, I absolutely do not want to be a part in burning down our planet. I’m sure I find (and probably have long found without knowing) other ways to contribute to worsen our climate crisis.

The scraper part is already covered in detail in your list. :-)

I’m convinced that license and copyright violations are only played down or even refused entirely because companies want to make big money quickly. With the work of others of course. Their double standards are obvious, they still try to actively keep their own stuff secret and out of any training sets. At most for internal use only. Virtually noone in charge is interested in good long-term solutions. Short-term for the win, when disaster eventually strikes, the causers are long gone, the responsibilities in other hands.

Vendor lock-in is something that lots of folks are only realizing very slowly. It’s completely crazy to me. This drug dealer routine should be well-known by now. It’s fucking everywhere. Yet, people are always surprised when they found themselves caught in it.

Adding new AI stuff only increases complexity. But complexity is the enemy that everybody should fear and reduce as much as possible. Of course, this is not limited to AI at all. And everywhere I look around, people in charge looooove to make things way more complicated than they ever need to be. Yet, simplicity is the real art and much harder to achieve.

I don’t understand why we have to go back full force to the ambiguity of natural languages. This alone should be more than enough to realize what a stupid idea all that is. Linked to that is that the “instruction set” is interpreted differently with newer model versions. I mean, is has to be. Why else would somebody want to upgrade in the first place than to get more Powerful™ Features™?

Some people argue that with AI the democratization is empowered. However, in my view, the exact opposite is the case. Models are getting so large that you can basically not run them locally or even train them. So, you have to rely on whatever the vendor offers you and runs for you. In the end, this only gives the owners more power, the multi billionaires. Not exactly what I understand by democratization.

Finally, technology assessments are missing completely. Or they are faked such that mostly only the (questionable) benefits are listed. But all the negative impact is just ignored.

Let’s keep some popcorn around for when this all explodes. :-)

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IBM, Red Hat Commit $5 Billion To Secure Open Source Supply Chains
IBM and Red Hat are committing $5 billion to a new initiative called “Project Lightwell,” which aims to secure open-source software supply chains with AI-assisted vulnerability discovery, triage, patch validation, and upstream maintenance. Longtime Slashdot reader wiggles shares a press release from IBM: IBM and Red Hat today announced Project … ⌘ Read more

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NZ’s early AI adopters are already reaping the benefits
When Air New Zealand updated its uniforms last year, it faced a large and potentially expensive job: updating its library of 18,000 brand images.

“So, what are we going to do?” the airline’s data and AI lead, Mike Parsons, asked rhetorically at one of the last formal Techweek26 sessions in Auckland last week. ⌘ Read more

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Robinhood Now Lets Your AI Agents Trade Stocks
Robinhood is launching beta support for a new feature that will let AI agents make payments and trade stocks on users’ behalf. The company is also rolling out a virtual credit card for AI agents, with spending limits and approval controls. TechCrunch reports: Robinhood said users on its platform can now create a separate account for their AI agents and connect them to a dedicated wa … ⌘ Read more

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Arm Announces Metis: Agentic AI Security Framework
Arm today announced the open-sourcing of Metis, an agentic AI security framework that delivers context AI-powered security analysis in looking out for software vulnerabilities… ⌘ Read more

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QEMU Shifting On AI Policy To Allow Some AI/LLM-Generated Contributions
The QEMU processor emulator that plays an important role in the open-source Linux virtualization stack had a policy that forbid any contributions including or derived from AI-generated content. But there are now second thoughts with a proposed patch that will permit AI/LLM contributions in non-critical areas… ⌘ Read more

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IBM’s “Project Lightwell”
IBM has sent out a\
press release touting a claimed $5 billion investment into an
operation called Project Lightwell:

Project Lightwell will establish a trusted enterprise clearinghouse
combined with a global force of engineers to identify and fix
vulnerabilities at scale. The clearinghouse will serve as a
security coordination layer, using advanced AI capabilities to
val … ⌘ Read more

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Illinois Lawmakers Just Passed America’s Strongest AI Safety Bill
The bill requires companies like OpenAI, Anthropic, and Google to have third parties confirm they’re following safety standards. Illinois Governor JB Pritzker says he’ll sign. ⌘ Read more

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Meta To Start Testing AI Subscription Services
Meta will begin testing paid subscriptions for its Meta AI app and website, with a $7.99/month Meta One Plus plan and a more capable $19.99/month Meta One Premium plan offering. The test will start next month in Singapore, Guatemala, and Bolivia as Meta looks for AI revenue beyond advertising while continuing to offer a free tier. CNBC reports: Naomi Gleit, the head of product at M … ⌘ Read more

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Nvidia To Spend $150 Billion a Year In Taiwan
Nvidia CEO Jensen Huang says the company plans to spend around $150 billion a year in Taiwan, calling it the “epicenter of the AI revolution.” “Four years ago, five years ago, Nvidia was spending about $10, $15 billion dollars a year in Taiwan. Now we’re spending $100, going to $150 billion dollars in Taiwan each year,” Huang said. Reuters reports: Huang was speaking at a launch celebratio … ⌘ Read more

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Rust Will Save Linux From AI, Says Greg Kroah-Hartman
Linux stable kernel maintainer Greg Kroah-Hartman says Rust can help Linux deal with a flood of AI-discovered security bugs (namely Dirty Frag, Copy Fail, and Fragnesia) by preventing common C mistakes around memory, locking, error handling, and untrusted data at build time rather than during human review. It’s “not a silver bullet” and does not mean rewriting the whol … ⌘ Read more

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The AI Fight Brewing Inside the New York Times
An anonymous reader quotes a report from The Verge: How newsrooms should use AI – or if they should at all – has been a recurrent debate within the media industry over the last several years. Increasingly, these rules are being hammered out at the bargaining table between unions and publishers. Right now, employees at The New York Times are gearing up for a fight. Unionized staff … ⌘ Read more

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YouTube To Automatically Detect, Label AI-Generated Videos
YouTube will begin automatically labeling videos when its systems detect “significant” photorealistic AI use, while also making AI-content disclosures more visible below long-form videos and directly on Shorts. “We’ve heard consistently from our community that they value transparency when it comes to generative AI content,” YouTube said in a blog post. “These … ⌘ Read more

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Tech CEOs Are Apparently Suffering From AI Psychosis
An anonymous reader quotes a report from TechCrunch: There is a certain wildness in the tech industry these days that both mimics previous eras of large changes, like cloud computing (runaway costs in the early days), and is like nothing we’ve ever seen before (record revenues accompanied by mass layoffs). One possible explanation: tech executives, especially CEOs, are … ⌘ Read more

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In-reply-to » By the way, did you know that I have a five month notice period? Starting next year, it’ll be six months. Germany is the opposite of “hire and fire”, but it applies to both parties.

@movq@www.uninformativ.de If you really like to, you can try to negotiate with your employer that you can leave earlier. At least some mates were successful in that. I mean, it’s also in the company’s interest to not have to pay someone who has already mentally resigned long ago.

And on the bright side, you don’t even have to hand over anything. Your boss doesn’t have to look for a successor, so they can just let you go even sooner. This AI shit will simply continue whatever you did, no problem!!

It’s so crazy. I should probably also look for something else. :-(

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[$] MOT: a tool to fight openwashing in AI
Many large language models (LLMs) are described as open source, but
if one looks a bit deeper it turns out that is not actually so; the
model may be free to download, it may be “ open weight”, but it
does not fit the Open Source\
Initiative (OSI) Open Source\
Definition (OSD). Assessing the actual openness of models is not
easy, as Arnaud Le Hors explained in his talk about the [Model Openness T … ⌘ Read more

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Company Behind School Bus AI Cameras Wants To Share Footage With Police
joshuark writes: BusPatrol, a company that has installed AI-powered cameras in tens of thousands of school buses around the U.S., now plans to turn those cameras into automatic license plate readers (ALPRs), capturing the location of every vehicle the buses drive past, and give that data to law enforcement, 404 Media has learned. Bus … ⌘ Read more

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Mythos Detected 23,000 Vulnerabilities Across 1,000 OSS Projects
wiredmikey shares a report from SecurityWeek: Anthropic says its Claude Mythos model discovered thousands of severe vulnerabilities across more than 1,000 open source software (OSS) projects. According to the AI giant, Mythos Preview has identified more than 23,000 potential vulnerabilities. Of these, 1,900 have been reviewed by external security f … ⌘ Read more

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Arias: Human proof for FOSS contributions
Rodrigo Arias Mallo, maintainer of the Dillo web browser, has written a
blog post
with a proposal on one way to ensure that a contribution is written by
a human and not AI; he suggests asking new contributors to record
their programming session using asciinema.

In the same way that LLMs generate patches, they can also generate
the asciinema recordings themselves. Then, the contributors c … ⌘ Read more

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Meet Mark Zuckerberg’s right-hand man
By Meghan Bobrowsky

Tensions were running high at Meta Platforms.

For weeks, rumours circulated that the company was planning a large layoff as it poured tens of billions of dollars into artificial intelligence. Then, employees were told their keystrokes and mouse clicks would be recorded to help train AI agents to use computers. ⌘ Read more

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AI, job cuts and a very fragile mandate
In a week when the Government announced 8,700 public sector roles will go and AI will help fill the gaps, a lunchtime event at Parliament turned into something of a reality check on how fragile trust in AI has become in New Zealand.

One NZ’s second annual AI in Trust report, a nationally representative survey of 1,001 New Zealanders, shows 76% of us have interacted with AI-powered services in the past … ⌘ Read more

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Pope Leo Warns of Risks From AI In 42,300-Word Encyclical
An anonymous reader quotes a report from the New York Times: Pope Leo XIV on Monday set out a sweeping vision for corporate executives, politicians and individuals who will shape and be shaped by the future of artificial intelligence, warning leaders to safeguard humanity from A.I.’s most disruptive effects. Leo’s declaration came in the form of a papal encyclical, … ⌘ Read more

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Launch HN: Minicor (YC P26) – Windows desktop automations at scale
Hey we’re Faiz and Saheed and we built Minicor so AI companies who need to integrate to desktop systems with no API can quickly build scalable desktop RPAs. Demo: https://www.youtube.com/watch?v=MD0GHZIJ1cw

We were working on non-RPA integrations when a customer promised to sign a deal in 2 days if we could unblock a sale of theirs that involved integrating with a clinic’s Windows based medical record system. We didn’t know it at … ⌘ Read more

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NVIDIA Vera CPU Benchmarks: Olympus Cores Delivering The Best Performance Ever Seen On ARM
NVIDIA’s Vera data center CPU isn’t ramping up until later this year but I recently had the opportunity to try out this new ARM-based CPU designed for agentic AI workloads. NVIDIA’s Vera CPU with its in-house-designed Olympus CPU cores ends up packing a heavy-hitting punch with competitiveness to Intel/AMD x86_64 CPUs that I have never seen out of any other ARM or non-x86_64 processors. Continue on with these early benchm … ⌘ Read more

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