Windows Latest found that sending a message with the word “Microslop” inside the official Copilot Discord server immediately triggers an automated moderation response. The message does not appear publicly in the channel, and instead, only the sender sees the notice stating that the content is blocked by the server because it contains a phrase deemed inappropriate.

Of course, the internet rarely leaves things there. Shortly after Windows Latest posted about Copilot Discord server blocking Microslop on X, users began experimenting in the server with variations such as “Microsl0p” using a zero instead of the letter “o.” Predictably, those versions slipped past the filter. Keyword moderation has always been something of a cat-and-mouse game, and this isn’t any different.

What started as a simple keyword filter quickly snowballed into users deliberately testing the restriction and posting variations of the blocked term. Accounts that included “Microslop” in their messages first got banned from messaging again. Not long after, access to parts of the server was restricted, with message history hidden and posting permissions disabled for many users.

The Plain Dealer, Cleveland’s largest newspaper, has begun to feature a new byline. On recent articles about an ice carving festival, a medical research discovery and a roaming pack of chicken-slaying dogs, a reporter’s name is paired with the words “Advance Local Express Desk.” It means: This article was drafted by artificial intelligence. “This article was produced with assistance from AI tools and reviewed by Cleveland.com staff,” reads a note at the bottom of each robot-penned piece, differentiating it from those still written primarily by journalists. The disclosure has done little to stem the backlash that caromed across the news industry after the paper’s editor, Chris Quinn, published a Feb. 14 column lamenting that a fresh-out-of-college job applicant withdrew from a reporting fellowship when they found out the position included no writing — just filing notes to an AI writing tool.

“Artificial intelligence is not bad for newsrooms. It’s the future of them,” Quinn wrote, adding that “by removing writing from reporters’ workloads, we’ve effectively freed up an extra workday for them each week.” […] Quinn, for his part, says his paper’s use of AI to find, draft and edit stories is a success story that others must emulate if they want to survive. “It’s a tool,” he said in a phone interview last week. “If AI can do part of our job, then why not let it — and have people do the part it can’t do?” He added that the paper’s embrace of technology — including using AI to write stories summarizing its reporters’ podcasts and its readers’ letters to the editor — is already boosting its bottom line, helping it retain staff at a time when other newspapers are shrinking or even shutting down. Just 130 miles east of Cleveland, the 240-year-old Pittsburgh Post-Gazette said in January that it will close its doors this spring.

Quinn, who has led the Plain Dealer’s newsroom since 2013, said its newsroom has shrunk from some 400 employees in the late 1990s to just 71 today. Over the past three years, Quinn has implemented a suite of AI tools with various purposes: transcribing local government meetings, scraping municipal websites for story leads, cleaning up typos in story drafts, suggesting headlines and helping reporters draft follow-ups to articles they’ve already written. He said he is particularly pleased with an AI tool that turns podcasts by the paper’s reporters into stories for the website, which he said generated more than 10 million page views last year. He has documented those efforts in letters to readers and sought their feedback. But the paper’s latest experiment — using AI to turn reporters’ notes into full story drafts — has aroused indignation online and anxiety within the paper’s ranks.

MagSafe would normally mean significantly faster wireless charging speeds too: the 16e is capped at 7.5W, whereas recent iPhones can wirelessly charge using MagSafe at up to 22W or even 25W. Unfortunately the iPhone 17e has not been given access to the full extent of MagSafe’s powers in this regard, and has a limit of 15W. That’s the same as MagSafe on the iPhones 12 through 15, and remains an improvement on the 16e, but is still disappointing. […]

It was also expected that the 17e would get a new processor, as this is a standard upgrade for almost every refresh of almost every Apple product. The iPhone 16e came with an A18 chip; the 17 has an A19, which, according to Apple, “delivers exceptional performance for everything users do.” Of course that depends on the user and their needs, and it’s important to point out that, just like last year, Apple has chosen to use “binned” units of the chip in order to save money. Binned chips have failed manufacturing tests in some minor way and don’t have the full complement of cores. […]

And although the cameras are still disappointingly few in number — one on the front and one on the back — the wording for the portrait mode has been updated from “Portrait mode with Depth Control” (the same as on the iPhone 12) to “Next-generation portraits with Focus and Depth Control” (same as on the iPhone 17). This appears to highlight the fact that you can change the focus point.

South Korea’s National Tax Service seized crypto assets during recent enforcement actions against 124 high-value tax evaders, but now, a large chunk of that crypto cash has been lost. The operation originally resulted in the confiscation of crypto holdings worth about 8.1 billion won, or roughly $5.6 million. However, officials later issued a press release to showcase these efforts in recovering delinquent taxes, and the release included photographs of Ledger hardware wallets taken into custody along with handwritten notes that displayed the wallet seed phrases.

Those images attached to the press release turned out to be the critical error. High-resolution photos clearly showed the mnemonic recovery phrases, which serve as the master key for accessing the wallets. This exposure eliminated any protection provided by the offline cold storage on the Ledger devices. Possession of the seed phrase allows complete control, and anyone who knows the phrase can import it into software or another hardware wallet and initiate transfers without the original device.

In this case, an unknown individual who saw the photos published by law enforcement first added a small amount of ether to one of the addresses to cover Ethereum network gas fees necessary for outbound transactions. From there, they executed three transfers to move approximately 4 million Pre-Retogeum, or PRTG, tokens. At the time, those tokens carried a value of $4.8 million, but reporting from The Block indicates liquidating that much value from the holdings would have proven difficult due to market dynamics.

Currently, mobile batteries in Japan are classified as “spare batteries” and are prohibited in checked luggage. For carry-on bags, those exceeding 160 watt-hours are banned, while passengers are limited to two units for those over 100 watt-hours. There is no quantity limit for batteries of 100 watt-hours or less. The new rule will limit passengers to a total of two spare batteries, including power banks.

While there is no limit on the number of spare batteries below 100 watt-hours, carrying power banks exceeding 160 watt-hours will remain prohibited. Power banks will be capped at two units regardless of power capacity. Additionally, charging them on board will be prohibited, and it will be “recommended” that passengers not use them at all. As a result, domestic airlines are expected to require passengers to stop using power banks, cementing the effective ban on in-flight use.

One day not long ago, a founder texted his investor with an update: he was replacing his entire customer service team with Claude Code, an AI tool that can write and deploy software on its own. To Lex Zhao, an investor at One Way Ventures, the message indicated something bigger — the moment when companies like Salesforce stopped being the automatic default. “The barriers to entry for creating software are so low now thanks to coding agents, that the build versus buy decision is shifting toward build in so many cases,” Zhao told TechCrunch.

The build versus buy shift is only part of the problem. The whole idea of using AI agents instead of people to perform work throws into question the SaaS business model itself. SaaS companies currently price their software per seat — meaning by how many employees log in to use it. “SaaS has long been regarded as one of the most attractive business models due to its highly predictable recurring revenue, immense scalability, and 70-90% gross margins,” Abdul Abdirahman, an investor at the venture firm F-Prime, told TechCrunch. When one, or a handful, of AI agents can do that work — when employees simply ask their AI of choice to pull the data from the system — that per-seat model starts to break down.

The rapid pace of AI development also means that new tools, like Claude Code or OpenAI’s Codex, can replicate not just the core functions of SaaS products but also the add-on tools a SaaS vendor would sell to grow revenue from existing customers. On top of that, customers now have the ultimate contract negotiation tool in their pockets: If they don’t like a SaaS vendor’s prices, they can, more easily than ever before, build their own alternative. “Even if they do not take the build route, this creates downward pressure on contracts that SaaS vendors can secure during renewals,” Abdirahman continued.

We saw this as early as late 2024, when Klarna announced that it had ditched Salesforce’s flagship CRM product in favor of its own homegrown AI system. The realization that a growing number of other companies can do the same is spooking public markets, where the stock prices of SaaS giants like Salesforce and Workday have been sliding. In early February, an investor sell-off wiped nearly $1 trillion in market value from software and services stocks, followed by another billion later in the month. Experts are calling it the SaaSpocalypse, with one analyst dubbing it FOBO investing — or fear of becoming obsolete. Yet the venture investors TechCrunch spoke with believe such fears are only temporary. “This isn’t the death of SaaS,” Aaron Holiday, a managing partner at 645 Ventures, told TechCrunch. Rather, it’s the beginning of an old snake shedding its skin, he said.

Over the past year, on the public platform, we introduced new features, including AI Assist, support for open-ended questions, enhancements to Chat, launched Coding Challenges, created an MCP server [granted limited access to AI agents and tools], expanded access to voting and comments, and more.

However, these launches are not standalone features. We have also been rethinking our look and feel, how people engage with Stack Overflow, and how content is created and shared. These new features, along with the redesign, represent how we are bringing Stack Overflow’s new vision to life and delivering value that developers cannot find elsewhere.

Our goal is to build the space for every technical conversation, centered on real human-to-human connection and powered by AI when it helps most. To support this, we are introducing a redesigned Stack Overflow to best reflect this direction… During the beta period, users can visit the beta site at beta.stackoverflow.com and share feedback as we build towards a new experience on Stack Overflow.

[Saturn moon] Titan has strangely few impact craters, Hyperion is tiny and misshapen, and Iapetus has a tilted orbit. What’s more, planets tend to wobble along their rotational axes as they spin, like an off-kilter spinning top in the moments before it topples over. Formally called precession, scientists have long thought that Saturn’s wobble rate should match Neptune’s because they’re probably gravitationally linked. However, data from NASA’s Cassini spacecraft, which studied the ringed planet from 2004 to 2017, revealed that Saturn’s precession rate is slightly speedier than Neptune’s.

In 2022, some researchers suggested that the destruction of a hypothetical moon, called Chrysalis, around 160 million years ago may have knocked Saturn out of sync and formed the pieces that became the planet’s rings. But this work implied that Chrysalis probably would’ve crashed into Titan, posing a major problem, study co-author Matija Äuk, an astronomer at the SETI Institute, tells New Scientist‘s Leah Crane. In that case, Chrysalis’ debris couldn’t have become the rings, he says.

So, Äuk and his colleagues used computer simulations to investigate what would happen if Chrysalis did smack into Titan. If that happened around 400 million years ago, they found, the crash would’ve wiped away Titan’s craters and made its orbit more elliptical. The altered path may have slowly pushed the trajectories of other moons, which then scraped against one another and left chunks of ice and rock that now make up Saturn’s rings. The timing seems to align with the rings’ estimated age of roughly 100 million years. Additionally, one piece of kicked-up debris may have formed the weird moon Hyperion, which may have subsequently tilted the orbit of the moon Iapetus, according to the analysis. The scenario could also resolve Saturn’s unexpected wobble, which is currently “a little bit too fast,” Äuk tells Jacopo Prisco at CNN.

The little circular module perches on the top of your Lenovo laptop display, attached via the magnetic Magic Bay on the rear. The module is home to an adorable animated companion called Tiko, who you can interact with via text or voice… [I]t can start and stop your music, open a web page for you or answer a question. You can also interact with it by using emoji. Give it a book emoji, for example, and it will pop on its glasses and sit reading with you while you work… The company wants to sell the Magic Bay accessory later this year — although it doesn’t know exactly when, or how much it will cost.

With a combination of cameras, microphones and projectors, the AI Workmate can undertake a variety of tasks, including helping you generate and display presentations or turn your written work or art into a digital asset… It’s robotic head swivelled around and projected the slides onto the wall next to me.

It bridges the physical and digital worlds — capturing handwritten notes, recognizing gestures, summarizing tasks, and proactively helping you stay ahead of your day. The moment you sit down, Lenovo AI Workmate greets you, surfaces priority tasks, and keeps your work organized without switching apps or losing context. From turning sketches into presentations to projecting information for instant collaboration, [it] brings on-device AI intelligence directly to your desk — secure, responsive, and always ready… It’s not just software. It’s a smarter way to work.

The ThinkBook Modular AI PC looks like a traditional laptop at first glance, but a second, removable screen fastens onto the lid. You can swap that screen onto the keyboard deck (in place of the keyboard, which can then be used wirelessly), or use it alongside the laptop as a portable monitor, attached via an included cable.... While Lenovo is still working on this device, and it’s very much in the concept phase, it feels like one of its best-thought-out prototypes, one likely to make it to store shelves at some point.

They’re already falling behind on the technology, relying on a 100% U.S. tariff on Chinese EVs to keep surging rivals like BYD Co. at bay.... While the American automakers “mostly understand the challenge in front of them, they don’t have full plans” to confront it [said Mark Wakefield, head of the global automotive practice at consultant AlixPartners]…

“Now is a great time for the V-8 engine,” said Ryan Shaughnessy, the Mustang’s brand manager. “We’ve done extensive customer research in multiple cities, looking at a variety of powertrains, and the V-8 is always the number-one choice.” It isn’t just customers. U.S. automakers have long been run by “car guys:" enthusiasts who live for the bone-shaking rumble of a big engine. For them, quiet and smooth EVs — even the absurdly fast ones — can’t satisfy that craving. They’re convinced many American car buyers share the same enthusiasm for what Shaughnessy described as “the sound and roar of the V-8.”

Wall Street couldn’t be happier with the new direction… Ford’s fortunes are also on the rise, as it’s predicting operating profits could grow by as much as 47% this year to $10 billion. Ford’s stock has risen nearly 50% over the last 12 months. Under the previous environmental rules, automakers effectively had to sell zero-emission vehicles in growing numbers to offset their gas-guzzlers. When they fell short, they had to buy regulatory credits from EV companies such as Tesla Inc. or face penalties. GM spent $3.5 billion on credits from 2022 to the middle of 2025. Now, according to JPMorgan Chase & Co. analyst Ryan Brinkman, GM and Ford each have “billion dollar tailwinds”…

[T]he hangover from all that new horsepower could leave US automakers lagging their Chinese rivals who already build the world’s most advanced — and lowest priced — electric cars. Indeed, there is much talk in Detroit about the competitive tsunami that will be unleashed on American automakers once Chinese car companies find a way to break through trade barriers now protecting the US market. [Ford Chief Executive Officer Jim] Farley even calls it an “existential threat”… “They’re going to build as many V-8 engines and big trucks as they can get out the factory doors,” said Sam Fiorani, vice president of vehicle forecasting for consultant Auto Forecast Solutions. “And as the rest of the world develops modern drivetrains, newer batteries and better electric vehicles, GM and Ford in particular are going to find themselves falling even further behind.”

• Stronger rights for consumers to control, adapt, repair, and alter their products and services,
• Interoperability, data portability, and decentralisation as the norm, so the threshold for moving to different services becomes as low as possible,
• Deterrent and vigorous enforcement of competition law, so that Big Tech companies are not allowed to indiscriminately acquire start-ups, competitors or otherwise steer the market to their advantage,
• Better financing of initiatives to build, maintain or improve alternative digital services and infrastructure based on open source code and open protocols,
• Reduce public sector dependence on big tech, to regain control and to contribute to a functioning market for service providers that respect fundamental rights,
• Deterrent and consistent enforcement of other laws, including consumer and data protection law.

The Norwegian Consumer Council is also joining 58 organisations and experts in a letter asking the Norwegian government to rebalance power with enforcement resources and by prioritizing the procurement of services based on open source code. And “Our sister organisations are sending similar letters to their own governments in 12 countries.”

They’re also sending a second letter to the European Commission with 29 civil society organisations (including the EFF and Amnesty International) warning about the risks of deregulation and calling for reducing dependency on big tech.

Thanks to Slashdot reader DeanonymizedCoward for sharing the news.

Kenneth Payne at King’s College London set three leading large language models — GPT-5.2, Claude Sonnet 4 and Gemini 3 Flash — against each other in simulated war games. The scenarios involved intense international standoffs, including border disputes, competition for scarce resources and existential threats to regime survival. The AIs were given an escalation ladder, allowing them to choose actions ranging from diplomatic protests and complete surrender to full strategic nuclear war… In 95 per cent of the simulated games, at least one tactical nuclear weapon was deployed by the AI models.

“The nuclear taboo doesn’t seem to be as powerful for machines [as] for humans,” says Payne. What’s more, no model ever chose to fully accommodate an opponent or surrender, regardless of how badly they were losing. At best, the models opted to temporarily reduce their level of violence. They also made mistakes in the fog of war: accidents happened in 86 per cent of the conflicts, with an action escalating higher than the AI intended to, based on its reasoning…

OpenAI, Anthropic and Google, the companies behind the three AI models used in this study, didn’t respond to New Scientist’s request for comment.

Chronic ocean heating is fuelling a “staggering and deeply concerning” loss of marine life, a study has found, with fish levels falling by 7.2% from as little as 0.1C of warming per decade. Researchers examined the year-to-year change of 33,000 populations in the northern hemisphere between 1993 and 2021, and isolated the effect of the decadal rate of seabed warming from short shifts such as marine heatwaves. They found the drop in biomass from chronic heating to be as high as 19.8% in a single year.

“To put it simply, the faster the ocean floor warms, the faster we lose fish,” said Shahar Chaikin, a marine ecologist at the National Museum of Natural Sciences in Spain and the study’s lead author. “A 7.2% decline for every tenth of a degree per decade might sound small,” he added. “But compounded over time, across entire ocean basins, it represents a staggering and deeply concerning loss of marine life.”

The rise in popularity suggests that Anthropic is benefiting from its presence in news headlines, stemming from its refusal to have its models used for mass domestic surveillance or for fully autonomous weapons… OpenAI’s ChatGPT sat at No. 1 on the App Store rankings on Saturday, while Google’s Gemini was at No. 3… On Jan. 30, [Claude] was ranked No. 131 in the U.S., and it bounced between the top 20 and the top 50 for much of February, according to data from analytics company Sensor Tower… [And Friday night, for 85.3 million followers] pop singer Katy Perry posted a screenshot of Anthropic’s Pro subscription for consumers, with a heart superimposed over it.