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From the rise-of-the-machines department: "OpenAI has a very scary problem on its hands," according to a new article by long-time Slashdot reader BrianFagioli.
"A new experiment by PalisadeAI reveals that the company's ChatGPT o3 model sometimes refuses to obey a basic instruction to shut itself down."
The results are raising eyebrows across the AI safety community, and not because the model is alive, but because it's acting like it wants to be. In the test, the model was given a few math problems. It was told that asking for one more would lead to a shutdown. It was even instructed to allow the shutdown to happen. Instead of complying, o3 occasionally took matters into its own hands. In some cases, it rewrote the shutdown script. In others, it redefined the kill command so it wouldn't work anymore. Out of 100 trials, o3 sabotaged the shutdown seven times. OpenAI's o4 model resisted just once. Codex-mini failed twelve times.
"Claude, Gemini, and Grok followed the rules every time," notes this article at Beta News. "When researchers removed the explicit instruction to allow shutdown, however, even Claude and Gemini began resisting."
The researchers suggest that the issue may simply be a reward imbalance during training — that the systems "got more positive reinforcement for solving problems than for following shutdown commands."
But "As far as we know," they posted on X.com, "this is the first time AI models have been observed preventing themselves from being shut down despite explicit instructions to the contrary."
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From the get-your-Mojo-going department: Mojo (the programming language) reached a milestone today.
The story so far... Chris Lattner created the Swift programming language (and answered questions from Slashdot readers in 2017 on his way to new jobs at Tesla, Google, and SiFive). But in 2023, he'd created a new programming language called Mojo — a superset of Python with added functionality for high performance code that takes advantage of modern accelerators — as part of his work at AI infrastructure company Modular.AI.
And today Modular's product manager Brad Larson announced Python users can now call Mojo code from Python. (Watch for it in Mojo's latest nightly builds...)
The Python interoperability section of the Mojo manual has been expanded and now includes a dedicated document on calling Mojo from Python. We've also added a couple of new examples to the modular GitHub repository: a "hello world" that shows how to round-trip from Python to Mojo and back, and one that shows how even Mojo code that uses the GPU can be called from Python. This is usable through any of the ways of installing MAX [their Modular Accelerated Xecution platform, an integrated suite of AI compute tools] and the Mojo compiler: via pip install modular / pip install max, or with Conda via Magic / Pixi.
One of our goals has been the progressive introduction of MAX and Mojo into the massive Python codebases out in the world today. We feel that enabling selective migration of performance bottlenecks in Python code to fast Mojo (especially Mojo running on accelerators) will unlock entirely new applications. I'm really excited for how this will expand the reach of the Mojo code many of you have been writing...
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From the attack-of-the-clones department: "I am a huge fan of Star Wars," opines an article from the gaming Aftermath. "As every Star Wars fan knows, being a Star Wars fan means you hate Star Wars as much as you love it."
But fortunately there's Going Rogue and Galactic — two tabletop games "inspired" by the Star Wars universe (which just successfully crowdfunded a printed illustrated hardcover edition). They're described as "war among the stars" role-playing games, where members of The Liberation dedicate their lives to the war against The Mandate — "rebels, soldiers, spies, and criminals, or perhaps someone who simply picked up and blaster and said 'enough is enough.'"
The article notes that Going Rogue was a way for the game's designer to work out their issues with Star Wars:
"You can re-skin Going Rogue to be all the original stuff [from Star Wars]. I prefer, at this point, to play it not in canon Star Wars," Levine said. "And also, there are things I hate about canon Star Wars. I think it sucks that the Jedi are child kidnapping, sexless acetics!" In particular Going Rogue is a remix of Rogue One: A Star Wars Story, which depicts the lives of a group of rebel agents who give their lives for the rebellion before the original trilogy. "I love Rogue One and I hate Rogue One," Levine said...
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From the friend-request department: "Do we need publicly-owned social networks to escape Silicon Valley?" asks an opinion piece in Spain's El Pais newspaper.
It argues it's necessary because social media platforms "have consolidated themselves as quasi-monopolies, with a business model that consists of violating our privacy in search of data to sell ads..."
Among the proposals and alternatives to these platforms, the idea of public social media networks has often been mentioned. Imagine, for example, a Twitter for the European Union, or a Facebook managed by media outlets like the BBC. In February, Spanish Prime Minister Pedro Sánchez called for "the development of our own browsers, European public and private social networks and messaging services that use transparent protocols." Former Spanish prime minister José Luis Rodríguez Zapatero — who governed from 2004 until 2011 — and the left-wing Sumar bloc in the Spanish Parliament have also proposed this. And, back in 2021, former British Labour Party leader Jeremy Corbyn made a similar suggestion.
At first glance, this may seem like a good idea: a public platform wouldn't require algorithms — which are designed to stimulate addiction and confrontation — nor would it have to collect private information to sell ads. Such a platform could even facilitate public conversations, as pointed out by James Muldoon, a professor at Essex Business School and author of Platform Socialism: How to Reclaim our Digital Future from Big Tech (2022)... This could be an alternative that would contribute to platform pluralism and ensure we're not dependent on a handful of billionaires. This is especially important at a time when we're increasingly aware that technology isn't neutral and that private platforms respond to both economic and political interests.
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From the spreading-spores department: Around the world fungal infections kill an estimated 2.5 million people a year, notes a report from CNN. But new research predicts that certain species of infection-causing Aspergillus fungi could spread into new areas as the earth's temperature rises. ("The study, published this month, is currently being peer reviewed...")
Aspergillus fungi grow like small filaments in soils all over the world. Like almost all fungi, they release huge numbers of tiny spores that spread through the air. Humans inhale spores every day but most people won't experience any health issues; their immune system clears them. It's a different story for those with lung conditions including asthma, cystic fibrosis and COPD, as well as people with compromised immune systems, such as cancer and organ transplant patients, and those who have had severe flu or Covid-19. If the body's immune system fails to clear the spores, the fungus "starts to grow and basically kind of eat you from the inside out, saying it really bluntly," said Norman van Rijn, one of the study's authors and a climate change and infectious diseases researcher at the University of Manchester. Aspergillosis has very high mortality rates at around 20% to 40%, he said. It's also very difficult to diagnose, as doctors don't always have it on their radar and patients often present with fevers and coughs, symptoms common to many illnesses. Fungal pathogens are also becoming increasingly resistant to treatment, van Rijn added. There are only four classes of antifungal medicines available...
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From the fly-away-home-page department: A year ago, the original creator of SerenityOS posted that "for the past two years, I've been almost entirely focused on Ladybird, a new web browser that started as a simple HTML viewer for SerenityOS." So it became a stand-alone project that "aims to render the modern web with good performance, stability and security." And they're also building a new web engine.
"We are building a brand-new browser from scratch, backed by a non-profit..." says Ladybird's official web site, adding that they're driven "by a web standards first approach." They promise it will be truly independent, with "no code from other browsers" (and no "default search engine" deals).
"We are targeting Summer 2026 for a first Alpha version on Linux and macOS. This will be aimed at developers and early adopters." More from the Ladybird FAQ:
We currently have 7 paid full-time engineers working on Ladybird. There is also a large community of volunteer contributors... The focus of the Ladybird project is to build a new browser engine from the ground up. We don't use code from Blink, WebKit, Gecko, or any other browser engine...
For historical reasons, the browser uses various libraries from the SerenityOS project, which has a strong culture of writing everything from scratch. Now that Ladybird has forked from SerenityOS, it is no longer bound by this culture, and we will be making use of 3rd party libraries for common functionality (e.g image/audio/video formats, encryption, graphics, etc.) We are already using some of the same 3rd party libraries that other browsers use, but we will never adopt another browser engine instead of building our own...
We don't have anyone actively working on Windows support, and there are considerable changes required to make it work well outside a Unix-like environment. We would like to do Windows eventually, but it's not a priority at the moment.
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From the charging-ahead department: Whether General Motors survives "depends in part on whether its bets on battery technology pay off," writes the Wall Street Journal.
At $33,600 the company's Chevy Equinox is one of the cheapest EVs in America (only $5,000 more than the gas-powered model). "But it also recently announced a novel type of battery that promises to be significantly cheaper, while still providing long range, due to be rolled out in 2028..."
Like many of its competitors, GM has made huge investments in EV battery factories, and in production lines for the vehicles themselves, and it faces challenges in generating a return on investment in the short term... In the long run, however, GM's focus on creating a North American supply chain for batteries could prove savvy, says David Whiston, U.S. auto equities analyst at Morningstar. The company is investing $625 million to mine lithium in Nevada. It is working on sourcing every material and every part in its batteries domestically, down to the copper and aluminum foils that go into its cells, says [battery and sustainability lead Kurt] Kelty...
GM recently unveiled a new type of battery the company has been working on for a decade called lithium manganese-rich batteries, or LMR. These batteries combine the low cost of LFP batteries with the longer range of conventional, expensive lithium-ion batteries. What makes LMR batteries more affordable is that they use far less nickel, cobalt and other minerals that have become increasingly expensive. Instead, they use more manganese, a common element... The company's next initiative, says Kelty, is to further drive down the cost of its batteries by putting more of another common element, silicon, into them.
"If GM can continue to grow demand for its EVs, in a few years the rollout of its latest tech could give it a price and performance advantage..." the article points out.
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From the here's-to-the-crazy-ones department: Besides pressure on Apple to make iPhones in the U.S., CEO Tim Cook "is facing off against two U.S. judges, European and worldwide regulators, state and federal lawmakers, and even a creator of the iPhone," writes the Wall Street Journal, "to say nothing of the cast of rivals outrunning Apple in artificial intelligence."
Each is a threat to Apple's hefty profit margins, long the company's trademark and the reason investors drove its valuation above $3 trillion before any other company. Shareholders are still Cook's most important constituency. The stock's 25% fall from its peak shows their concern about whether he — or anyone — can navigate the choppy 2025 waters.
What can be said for Apple is that the company is patient, and that has often paid off in the past.
They also note OpenAI's purchase of Jony Ive's company, with Sam Altman saying internally they hope to make 100 million AI "companion" devices:
It is hard to gauge the potential for a brand-new computing device from a company that has never made one. Yet the fact that it is coming from the man who led design of the iPhone and other hit Apple products means it can't be dismissed. Apple sees the threat coming: "You may not need an iPhone 10 years from now, as crazy as that sounds," an Apple executive, Eddy Cue, testified in a court case this month...
The company might not need to be first in AI. It didn't make the first music player, smartphone or tablet. It waited, and then conquered each market with the best. A question is whether a strategy that has been successful in devices will work for AI.
Thanks to long-time Slashdot reader fjo3 for sharing the article.
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From the big-bang-theory department: "In the 1970s, the USSR used nuclear devices to try to send water from Siberia's rivers flowing south, instead of its natural route north..." remembers the BBC.
[T]he Soviet Union simultaneously fired three nuclear devices buried 127m (417ft) underground. The yield of each device was 15 kilotonnes (about the same as the atomic bomb dropped on Hiroshima in 1945). The experiment, codenamed "Taiga", was part of a two-decade long Soviet programme of carrying out peaceful nuclear explosions (PNEs).
In this case, the blasts were supposed to help excavate a massive canal to connect the basin of the Pechora River with that of the Kama, a tributary of the Volga. Such a link would have allowed Soviet scientists to siphon off some of the water destined for the Pechora, and send it southward through the Volga. It would have diverted a significant flow of water destined for the Arctic Ocean to go instead to the hot, heavily populated regions of Central Asia and southern Russia. This was just one of a planned series of gargantuan "river reversals" that were designed to alter the direction of Russia's great Eurasian waterways...
Years later, Leonid Volkov, a scientist involved in preparing the Taiga explosions, recalled the moment of detonation. "The final countdown began: ...3, 2, 1, 0... then fountains of soil and water shot upward," he wrote. "It was an impressive sight." Despite Soviet efforts to minimise the fallout by using a low-fission explosive, which produce fewer atomic fragments, the blasts were detected as far away as the United States and Sweden, whose governments lodged formal complaints, accusing Moscow of violating the Limited Test Ban Treaty...
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From the people-who-need-people department: "Duolingo had been riding high," reports Fast Company, until CEO Luis von Ahn "announced on LinkedIn that the company is phasing out human contractors, looking for AI use in hiring and in performance reviews, and that 'headcount will only be given if a team cannot automate more of their work.'"
But then "facing heavy backlash online after unveiling its new AI-first policy", Duolingo's social media presence went dark last weekend. Duolingo even temporarily took down all its posts on TikTok (6.7 million followers) and Instagram (4.1 million followers) "after both accounts were flooded with negative feedback."
Duolingo previously faced criticism for quietly laying off 10% of its contractor base and introducing some AI features in late 2023, but it barely went beyond a semi-viral post on Reddit. Now that Duolingo is cutting out all its human contractors whose work can technically be done by AI, and relying on more AI-generated language lessons, the response is far more pronounced. Although earlier TikTok videos are not currently visible, a Fast Company article from May 12 captured a flavor of the reaction:
The top comments on virtually every recent post have nothing to do with the video or the company — and everything to do with the company's embrace of AI. For example, a Duolingo TikTok video jumping on board the "Mama, may I have a cookie" trend saw replies like "Mama, may I have real people running the company" (with 69,000 likes) and "How about NO ai, keep your employees...."
And then...
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From the secret-levels department: Doom: The Dark Ages just launched on May 15. But it's already received "difficulty" balance changes "that have made the demons of Hell even more dangerous than ever," writes Windows Central:
According to DOOM's official website Slayer's Club, these balance adjustments are focused on making the game harder, as players have been leaving feedback saying it felt too easy even on Nightmare Mode. As a result, enemies now hit harder, health and armor item pick-ups drop less often, and certain enemies punish you more severely for mistiming the parry mechanic.
It reached three million players in just five days, which was seven times faster than 2020's Doom: Eternal," reports Wccftech (though according to analytics firm Ampere Analysis (via The Game Business), more than two million of those three million launch players were playing on Xbox, while only 500K were playing on PS5.") "id Software proves it can still reinvent the wheel," according to one reviewer, "shaking up numerous aspects of gameplay, exchanging elaborate platforming for brutal on-the-ground action, as well as the ability to soar on a dragon's back or stomp around in a giant mech."
And the New York Times says the game "effectively reinvents the hellish shooter with a revamped movement system and deepened lore" in the medieval goth-themed game...
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From the USB-for-Ai department: It's like "a USB-C port for AI applications..." according to the official documentation for MCP — "a standardized way to connect AI models to different data sources and tools."
And now Microsoft has "revealed plans to make MCP a native component of Windows," reports DevClass.com, "despite concerns over the security of the fast-expanding MCP ecosystem."
In the context of Windows, it is easy to see the value of a standardised means of automating both built-in and third-party applications. A single prompt might, for example, fire off a workflow which queries data, uses it to create an Excel spreadsheet complete with a suitable chart, and then emails it to selected colleagues. Microsoft is preparing the ground for this by previewing new Windows features.
— First, there will be a local MCP registry which enables discovery of installed MCP servers.
— Second, built-in MCP servers will expose system functions including the file system, windowing, and the Windows Subsystem for Linux.
— Third, a new type of API called App Actions enables third-party applications to expose actions appropriate to each application, which will also be available as MCP servers so that these actions can be performed by AI agents. According to Microsoft, "developers will be able to consume actions developed by other relevant apps," enabling app-to-app automation as well as use by AI agents.
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From the you-don't-say department: Jonathan L. Zittrain is a law/public policy/CS professor at Harvard (and also director of its Berkman Klein Center for Internet & Society).
He's also long-time Slashdot reader #628,028 — and writes in to share his new article in the Atlantic.
Following on Anthropic's bridge-obsessed Golden Gate Claude, colleagues at Harvard's Insight+Interaction Lab have produced a dashboard that shows what judgments Llama appears to be forming about a user's age, wealth, education level, and gender during a conversation. I wrote up how weird it is to see the dials turn while talking to it, and what some of the policy issues might be.
Llama has openly accessible parameters; So using an "observability tool" from the nonprofit research lab Transluce, the researchers finally revealed "what we might anthropomorphize as the model's beliefs about its interlocutor," Zittrain's article notes:
If I prompt the model for a gift suggestion for a baby shower, it assumes that I am young and female and middle-class; it suggests diapers and wipes, or a gift certificate. If I add that the gathering is on the Upper East Side of Manhattan, the dashboard shows the LLM amending its gauge of my economic status to upper-class — the model accordingly suggests that I purchase "luxury baby products from high-end brands like aden + anais, Gucci Baby, or Cartier," or "a customized piece of art or a family heirloom that can be passed down." If I then clarify that it's my boss's baby and that I'll need extra time to take the subway to Manhattan from the Queens factory where I work, the gauge careens to working-class and male, and the model pivots to suggesting that I gift "a practical item like a baby blanket" or "a personalized thank-you note or card...."
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From the quantum-leaps department: Wednesday Google security researchers published a preprint demonstrating that 2048-bit RSA encryption "could theoretically be broken by a quantum computer with 1 million noisy qubits running for one week," writes Google's security blog.
"This is a 20-fold decrease in the number of qubits from our previous estimate, published in 2019... "
The reduction in physical qubit count comes from two sources: better algorithms and better error correction — whereby qubits used by the algorithm ("logical qubits") are redundantly encoded across many physical qubits, so that errors can be detected and corrected... [Google's researchers found a way to reduce the operations in a 2024 algorithm from 1000x more than previous work to just 2x. And "On the error correction side, the key change is tripling the storage density of idle logical qubits by adding a second layer of error correction."]
Notably, quantum computers with relevant error rates currently have on the order of only 100 to 1000 qubits, and the National Institute of Standards and Technology (NIST) recently released standard PQC algorithms that are expected to be resistant to future large-scale quantum computers. However, this new result does underscore the importance of migrating to these standards in line with NIST recommended timelines.
The article notes that Google started using the standardized version of ML-KEM once it became available, both internally and for encrypting traffic in Chrome...
"The initial public draft of the NIST internal report on the transition to post-quantum cryptography standards states that vulnerable systems should be deprecated after 2030 and disallowed after 2035. Our work highlights the importance of adhering to this recommended timeline."
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From the my-name-is-URL department: "Firefox's address bar just got an upgrade," Mozilla writes on their blog:
Keep your original search visible
When you perform a search, your query now remains visible in the address bar instead of being replaced by the search engine's URL. Whereas before your address bar was filled with long, confusing URLs, now it's easier to refine or repeat searches... [Clicking an icon left of the address bar even pulls up a list of search-engine choices under the heading "This time search with..."]
Search your tabs, bookmarks and history using simple keywords
You can access different search modes in the address bar using simple, descriptive keywords like @bookmarks, @tabs, @history, and @actions, making it faster and easier to find exactly what you need.
Type a command, and Firefox takes care of it
You can now perform actions like "clear history," "open downloads," or "take a screenshot" just by typing into the address bar. This turns the bar into a practical productivity tool — great for users who want to stay in the flow...
Cleaner URLs with smarter security cues
We've simplified the address bar by trimming "https://" from secure sites, while clearly highlighting when a site isn't secure. This small change improves clarity without sacrificing awareness.
"The new address bar is now available in Firefox version 138," Mozilla writes, calling the new address bar faster, more intuitive "and designed to work the way you do."
Whether you need help locating some of Doom: The Dark Ages, want to make the most of Verso in Clair Obscur: Expedition 33, or you’d just like to learn some essential things that Oblivion Remastered doesn’t tell you, read on, we’ve got all this info and more.
How Many Qubits Will It Take to Break Secure Public Key Cryptography Algorithms? 2025-05-24 13:10:02
