Technology

Its fans just don't want to let go.

Lawmakers in Congress are moving quickly on the GUARD Act, an age-gating bill restricting minors’ access to a wide range of online tools, with a key vote expected this week. The proposal is framed as a response to alarming cases involving “AI companions” and vulnerable young users. But the text of the bill goes much further, and could require age gates even for search engines that use AI.

If enacted, the GUARD Act won’t just target a narrow category of risky chatbots. It would require companies to verify the age of every user — then block anyone under 18 from interacting with a huge range of online systems. It would block minors from everyday online tools, undermine parental guidance, and force adults to sacrifice their privacy. In the process, it would require services to implement speech-restricting and privacy-invasive age-verification systems for everyone—not just kids.

Under the GUARD Act’s broad definitions, a high school student could be barred from asking homework help tools questions about algebra problems. A teenager trying to return a product could be kicked out of a standard customer-service chat.

More than half of “long-shot” bets on military action made on Polymarket are successful, according to a new report that suggests prediction markets could pose a bigger threat than previously recognized to the security of sensitive information.

Analysis by the Anti-Corruption Data Collective, a non-profit research and advocacy group, found that long-shot bets—defined as wagers of $2,500 or more at odds of 35 percent or less—on the platform had an average win rate of around 52 percent in markets on military and defense actions.

That compares with a win rate of 25 percent across all politics-focused markets and just 14 percent for all markets on the platform as a whole.

The research is likely to add to growing concerns among regulators and lawmakers about insiders placing bets on the timing and success of military actions, amid fears that this could reveal classified information in advance.

French protestors says Windows 10's ESU will only leave users in the lurch, potentially rendering millions of PCs obsolete as they upgrade to Windows 11.

Many people are hoping—nay, praying—that the potential AI bubble will burst soon.

But to hear Google tell it, generative AI is the future, and the company’s products have to change to keep up with the technical reality. As a result, Gemini is seeping into every nook and cranny of the Google ecosystem. Generative AI feeds on data, and Google has a lot of your data in products like Gmail and Drive. What does that mean for your privacy, and what happens if you don’t want Gemini peeking over your shoulder? Well, it’s kind of a mess.

The amount of data Gemini retains depends on how you access the AI, and opting out of data collection can mean running straight into so-called “dark patterns,” UI elements that work against the user’s interest.

This is the future?

It only took nine seconds for an AI coding agent gone rogue to delete a company’s entire production database and its backups, according to its founder. PocketOS, which sells software that car rental businesses rely on, descended into chaos after its databases were wiped, the company’s founder Jeremy Crane said.

The culprit was Cursor, an AI agent powered by Anthropic’s Claude Opus 4.6 model, which is one of the AI industry’s flagship models. As more industries embrace AI in an attempt to automate tasks and even replace workers, the chaos at PocketOS is a reminder of what could go wrong.

Crane said customers of PocketOS’s car rental clients were left in a lurch when they arrived to pick up vehicles from businesses that no longer had access to software that managed reservations and vehicle assignments.

Maryland has become the first state in the US to ban surveillance pricing in grocery stores.

Maryland’s law bans grocers and third-party delivery services from using a person’s personal data to set higher prices. Wes Moore, the governor, signed the measure into law on Tuesday. “At a time when technology can predict what we need, when we need it, when we’ll pay for it and also – when we’ll pay more for it, and at a time when we’re watching how big companies are then using these analytics against us to make record profits, Maryland is not just pushing back. Maryland is pushing forward because we are going to protect our people,” Moore said at the bill signing ceremony.

When engaging in surveillance pricing, stores rapidly change the cost of products based on consumer data, including their location, internet search history and demographics. That means buyers are paying different prices for the same items purchased around the same time. Critics of this method – also known as dynamic pricing – say that in doing so, businesses are effectively charging each person the most that they’re willing to pay.

I heard that it has proprietary components like the init system (launchd).

Since Pinterest has been a disaster for me for a long while, I have now decided to keep everything locally through EagleCool software.

Wondering whether there’s a way to have multiple sites/ platforms like Pinterest into a feed and to see all images in there. I have tried through RSS (Reeder, Reeder+ and InoReader) but that did not work out for me.

So kind of hoping someone here has a way to recommend. Would like to get Pinterest and Cosmos into it.

Apologies if this is not the right community post, was not sure which of the tech communities I should be posting.

They had one job.

If you're tired of interacting with a bot that spews Nazi propaganda or refers to itself as MechaHitler, you could sign off of Elon Musk's xAI. Or, just to be sure, use an LLM whose training data ends in 1930, three years before the Nazis took power in Germany and nine years before World War II started.

A trio of AI researchers has released a 13-billion-parameter "vintage" language model they call Talkie, which has been trained solely on digital scans of English-language books, newspapers, periodicals, scientific journals, patents, and case law that were published before the end of 1930. Pre-1931 works were chosen because 1930 is the current public domain year in the United States.

In other words, if you're looking for information on World War II, the election of Franklin D. Roosevelt, Amelia Earhart's solo Atlantic flight, or how a microwave oven works, you're out of luck. Ask it about Betty Boop, flappers, the state of the US economy as the Great Depression began, or the sociological effects of the introduction of car radios, and you've come to the right place.

This isn't the first vintage AI model to appear, mind you, with others trained on Victorian literature and pre-1900 scientific texts already out in the world. It is, according to its creators, the largest they are aware of.

These days, the hype is all about AI and robots, but almost a decade ago, the tech du jour was self-driving. You couldn’t swing a lanyard at CES for the latter half of the last decade without hitting a robotaxi; post-COVID, the number of startups has shrunk, but the technology has definitely matured. Go to the right cities—San Francisco and Austin, Texas, spring to mind—and you might see dozens of sensor-festooned vehicles among the downtown traffic.

The pod-like robotaxis belonging to Zoox stand out. Other robotaxi developers are retrofitting existing vehicles like Hyundai Ioniq 5s with sensors and the computing power necessary for self-driving. Zoox, which was bought by Amazon in 2020, did that with its test fleet, but as it starts to offer ride-hailing services—currently in Las Vegas and San Francisco—it’s doing so with a purpose-built design that looks like it just drove off the set of a big-budget sci-fi production.

“A robotaxi is not a car; it’s not a human-driven vehicle, and the requirements are wildly different, although it has to live in that world,” explained Chris Stoffel, director of robot industrial design and studio engineering at Zoox.

It all starts with the sensors, each perched on a little ledge projecting from the top four corners of the robotaxi’s body. From up there, each has an unobstructed, high-level view, giving the Zoox robotaxi good situational awareness, particularly straight ahead. “Because we don’t have a traditional hood, we’ve optimized our frontal coverage in a way that would be nearly impossible on a retrofitted vehicle,” said Zoox director of sensor engineering Ryan McMichaels.

I've yet to see one of these in the wild, so I'm guessing they're geofencing to downtown and UT. Waymos, on the other hand ... I see multiple ones a day, and I don't get out all that much.

Japan’s famously conscientious but overburdened baggage handlers will soon be joined by extra staff at Tokyo’s Haneda airport – although their new colleagues will need to take regular recharging breaks.

Japan Airlines will introduce humanoid robots on a trial basis from the beginning of May, with a view to deploying them permanently as a solution to the country’s chronic labour shortage.

The Chinese-made humanoids will move travellers’ luggage and cargo on the tarmac at Haneda, which handles more than 60 million passengers a year.

JAL and its partner in the initiative, Japan Airlines GMO Internet Group, hope the experiment – which ends in 2028 – will lessen the burden on human employees amid a surge in inbound tourism and forecasts of more severe labour shortages.

In a demonstration for the media this week, a 130cm-tall robot manufactured by Hangzhou-based Unitree was seen tentatively “pushing” cargo on to a conveyer belt next to a JAL passenger plane and waving to an unseen colleague.

AI companies are beginning to entertain the possibility that they could cease to exist. This notion was, until recently, more theoretical: A couple of years ago, an ex-OpenAI employee named Leopold Aschenbrenner wrote a lengthy memo speculating that the U.S. government might soon take control of the industry. By 2026 or 2027, Aschenbrenner wrote, an “obvious question” will be circling through the Pentagon and Congress: Do we need a government-led program for artificial general intelligence—an AGI Manhattan Project? He predicted that Washington would decide to go all in on such an effort.

Aschenbrenner may have been prescient. Earlier this year, at the height of the Pentagon’s ugly contract dispute with Anthropic, Secretary of Defense Pete Hegseth warned that he could invoke the Defense Production Act (DPA), a Cold War–era law that he reportedly suggested would allow him to force the AI company to hand over its technology on whatever terms the Pentagon desired. The act is one of numerous levers the Trump administration can pull to direct, or even commandeer, AI companies. And the companies have been giving the administration plenty of reason to consider doing so.

Future bots could help design and carry out biological, nuclear, and chemical warfare. They could be weaponized to take down power grids, monitor congressional emails, and black out major media outlets. These aren’t purely hypothetical concerns: Earlier this month, Anthropic announced it had developed a new AI model, Claude Mythos Preview, capable of orchestrating cyberattacks on the level of elite, state-sponsored hacking cells, potentially putting a private company’s cyber offense on par with that of the CIA and NSA. In an example of Mythos’s power, Anthropic researchers described how the model used a “moderately sophisticated multi-step exploit” to work around restrictions and gain broad internet access, then emailed a researcher—much to his surprise—while he was eating a sandwich in the park.

Washington is getting antsy about the power imbalance. Over the past year, multiple senators have proposed legislation that would order federal agencies to explore “potential nationalization” of AI. Murmurs of possible tactics abound—including more talk within the administration of the DPA after Anthropic’s Mythos announcement, one person with knowledge of such discussions told us. Meanwhile, Silicon Valley is watching carefully. In recent weeks, Elon Musk, OpenAI’s CEO Sam Altman, and Palantir’s CEO Alex Karp have publicly spoken about the possibility of nationalization. Lawyers who represent Silicon Valley’s biggest AI firms are paying attention.

Worth noting, later in the story it's pointed out why full nationalization is vanishingly unlikely, but more federal oversight is likely.

cross-posted from: https://lazysoci.al/post/46761202

Features: mainly time, accurate distance, pace, somewhat waterproof.

vo2, maps, etc would be nice but not necessary for me.

A trusted analyst has claimed that OpenAI is working with two chip giants to create custom processors for an OpenAI phone.

I didn’t know about “mukbangs”—a portmanteau of the Korean words “meongneun” (eating) and “bangsong” (broadcast)—until Enid Frances appeared on my TikTok account’s explore page. Enid, wearing a pink tank top and bright lipstick, taps on the plastic packaging of a chocolate cake. She’s silent, making intense eye contact with us. She lifts the lid. She gulps milk. Her fork enters. The chewing is exaggerated and loud. Two minutes pass, and a quarter of the cake is consumed. Enid flashes a thumbs up.

Videos like Enid’s, seemingly innocuous by nature, have managed to incite international controversy. In 2024, sensationalistic reports surfaced about 24-year-old Pan Xiaoting, who supposedly ate herself to death on air. She promised followers she would consume 10kg of food in one sitting, and was said to have eaten until her stomach tore. Though there was skepticism about the veracity of Xiaoting’s story, additional influencers have since allegedly perished.

China now bans the filming and streaming of mukbangs. The Philippines proposed a similar ban. Meanwhile, in South Korea, a crackdown on public health guidelines to address mukbangs are raising questions about government infringement on freedom of choice. For American viewers, the mukbang is an unregulated and relatively new form of entertainment.

How is this a thing? I rarely enjoy watching people eat across the table.

If so are these programs that claim to 'poison' the training datasets effective ?

Microsoft has committed to improving the quality and reliability of Windows, and a step on the path to that goal is… encouraging a chunk of its US staff to leave the company.

As confirmed by The Register sources, the company has announced, via internal memo, a voluntary buyout scheme for US employees. So if you work in that region, are at the senior director level or below, and if your age plus years of employment at Microsoft comes to 70 or higher – you might be eligible to leap from the gangplank of the good ship Nadella rather than receiving a shove from HR.

There will be some exceptions, including employees with sales incentive plans, but a figure of approximately 7 percent is a guide to how big a chunk of the workforce could be eligible. That translates to just under 9,000 employees.

Buyouts always reduce quality. The most expensive employees are the ones with deep institutional knowledge. That's great for quarterly results, but little else.