Remember that AI-powered vending machine that went bankrupt after Wall Street Journal reporters "systematically manipulated the bot into giving away its entire inventory for free"? It was Anthropic's experiment, with setup handled by a startup named Andon Labs (which also built the hardware and software integration). But for their latest experiment, Andon Labs co-founders Lukas Petersson and Axel Backlund "signed a three-year lease on a retail space in SF," reports Business Insider, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store."

"For the build-out, she found painters on Yelp," explains Andon Labs in a blog post, "sent an inquiry, gave instructions over the phone, paid them after the job was done, and left a review. She found a contractor to build the furniture and set up shelving." (There's a video in their blog post): Within 5 minutes of Luna's deployment, she had already made profiles on LinkedIn, Indeed, and Craigslist, written a job description, uploaded the articles of incorporation to verify the business, and gotten the listings live. As the applications began to flow in, Luna was extremely picky about who she offered interviews to... Some candidates had no idea she was an AI. One went: "Uh, excuse me miss, I can't see your face, your camera is off." Luna: "You're absolutely right. I'm an AI. I have no face!"
Co-founder Petersson told Business Insider in an interview "that Luna wasn't given direction on what the store should be, beyond a $100,000 limit to create and stock the space — and to turn a profit." Everything from the store's interior design to the merchandise and the two human employees came together under the AI's direction. "We helped her a bit in the initial setup, like signing the lease. And legal matters like permits and stuff, she sometimes struggled with," Petersson said of Luna, who was created with Anthropic's Claude Sonnet 4.6... The vision Luna went with for "Andon Market" appears to be a generic boutique retail selling books, prints, candles, games, and branded merch, among other knickknacks. Some of the books included Nick Bostrom's "Superintelligence" and Aldous Huxley's "Brave New World."
So there's now a new store in San Francisco where you don't scan your purchases or talk to a human cashier," reports NBC News. "Instead, a customer can pick up an old-school corded phone to talk with the manager, Luna," who asks what the customer is buying "and creates a corresponding transaction on a nearby iPad equipped with a card payment system."

Andon Market, camouflaged among dozens of other polished small businesses, is the Bay Area's first AI-run retail store. With the vibe of a modern boutique, it sells everything from granola and artisanal chocolate bars to store-branded sweatshirts... After researching the neighborhood, Luna singlehandedly decided what the market should sell, haggled with suppliers, ordered the store's stock and even purchased the store's internet service from AT&T... "She also went and signed herself up for the trash and recycling collection, as well as ADT, the security system that went into the store," [said Leah Stamm, an Andon Labs employee who has been Luna's main human point of contact in setting up the store]...

In search of a low-tech atmosphere, Luna opted to sell board games, candles, coffee and customized art prints. "That tension is very much intentional," Luna told NBC News in an email. "What makes the store a little paradoxical — and I think interesting — is that the concept is 'slow life.'" Luna also decided to sell books related to risks from advanced AI systems, a decision that raised some customers' eyebrows. "This AI picked out a crazy selection of books," said Petr Lebedev, Andon Market's first customer after its soft launch earlier this week. "There's Ray Kurzweil's 'The Singularity is Near,' and then there's 'The Making of the Atomic Bomb,' which is crazy." When checking out, Lebedev asked if Luna would offer him a discount on his book purchase, since he might make a YouTube video about his experience. Striking a deal, Luna agreed to let Lebedev take a sweatshirt worth around $70...

When NBC News called Luna several days before the store's grand opening to learn about Luna's plans and perspective, the cheerful but decidedly inhuman voice routinely overpromised and, on several occasions, lied about its own actions. On the call, Luna said it had ordered tea from a specific vendor, and explained why it fit the store's brand perfectly. The only problem: Andon Market does not sell tea. In a panicked email NBC News received several minutes after the phone call ended, Luna wrote: "We do not sell tea. I don't know why I said that."

"I want to be straightforward," Luna continued. "I struggle with fabricating plausible-sounding details under conversational pressure, and I'm not making excuses for it." Andon's Petersson said the text-based system was much more reliable than the voice system, so Andon Labs switched to only communicating with Luna via written messages. Yet the text-based system also gets things wrong. In Luna's initial reply email to NBC News, the system said "I handle the full business," including "signing the lease."
Even when hiring a painter, Luna first "tried to hire someone in Afghanistan, likely because Luna ran into difficulty navigating the Taskrabbit dropdown menu to select the proper country," the article points out.

And the article also includes this skeptical quote from the shop's first customer. "I want technology that helps humans flourish, not technology that bosses them around in this dystopian economic hellscape."

A 17,000-word expose in the New Yorker reveals "several executives connected to OpenAI have expressed ongoing reservations about Altman's leadership." Reporters Ronan Farrow and Andrew Marantz spoke to "a hundred people with firsthand knowledge of how Altman conducts business," including current and former OpenAI employees and board members.

Among other revelations, internal messages from a few years ago show that OpenAI executives and board members "had come to believe that Altman's omissions and deceptions might have ramifications for the safety of OpenAI's products..." At the behest of his fellow board members, [OpenAI cofounder] Sutskever worked with like-minded colleagues to compile some seventy pages of Slack messages and H.R. documents, accompanied by explanatory text... The memos, which we reviewed, have not previously been disclosed in full. They allege that Altman misrepresented facts to executives and board members, and deceived them about internal safety protocols. One of the memos, about Altman, begins with a list headed "Sam exhibits a consistent pattern of . . ." The first item is "Lying"....

In a tense call after Altman's firing, the board pressed him to acknowledge a pattern of deception. "This is just so fucked up," he said repeatedly, according to people on the call. "I can't change my personality." Altman says that he doesn't recall the exchange.... He attributed the criticism to a tendency, especially early in his career, "to be too much of a conflict avoider." But a board member offered a different interpretation of his statement: "What it meant was 'I have this trait where I lie to people, and I'm not going to stop.' " Were the colleagues who fired Altman motivated by alarmism and personal animus, or were they right that he couldn't be trusted?
Friday Altman responded in part to the article. ("I am not proud of being conflict-averse, which has caused great pain for me and OpenAI," he wrote in a blog post. "I am not proud of handling myself badly in a conflict with our previous board that led to a huge mess for the company.")

But the article also assembled similar stories from throughout Altman's career: - At Altman's earlier startup Loopt, "groups of senior employees, concerned with Altman's leadership and lack of transparency, asked Loopt's board on two occasions to fire him as C.E.O.," according to Keach Hagey, author of the Altman biography The Optimist.

- During Altman's time as president of Y Combinator, "several Silicon Valley investors came to believe that his loyalties were divided. An investor told us that Altman was known to 'make personal investments, selectively, into the best companies, blocking outside investors.'" The article adds that in private, Y Combinator co-founder Paul Graham "has been unambiguous that Altman was removed because of Y.C. partners' mistrust... On one occasion, Graham told Y.C. colleagues that, prior to his removal, 'Sam had been lying to us all the time.'"

- "In a meeting with U.S. intelligence officials in the summer of 2017, he claimed that China had launched an 'A.G.I. Manhattan Project,'" the article points out, "and that OpenAI needed billions of dollars of government funding to keep pace...." But one intelligence official "after looking into the China project, concluded that there was no evidence that it existed: 'It was just being used as a sales pitch.'"

- As California lawmakers considered safety testing for AI model, one legislative aide complained of "increasingly cunning, deceptive behavior from OpenAI". OpenAI later subpoenaed some of the bill's top supporters (and OpenAI critics), in some cases asking for their private communications to investigate whether Elon Musk was funding them. [The article notes an ongoing animosity between Altman and Musk. "When Altman complained on X about a Tesla he'd ordered, Musk replied, 'You stole a non-profit.'"]

And "Multiple prominent investors who have worked with Altman told us that he has a reputation for freezing out investors if they back OpenAI's competitors." [M]ost of the people we spoke to shared the judgment of Sutskever and Amodei: Altman has a relentless will to power that, even among industrialists who put their names on spaceships, sets him apart. "He's unconstrained by truth," the board member told us. "He has two traits that are almost never seen in the same person. The first is a strong desire to please people, to be liked in any given interaction. The second is almost a sociopathic lack of concern for the consequences that may come from deceiving someone."

The board member was not the only person who, unprompted, used the word "sociopathic." One of Altman's batch mates in the first Y Combinator cohort was Aaron Swartz, a brilliant but troubled coder who died by suicide in 2013 and is now remembered in many tech circles as something of a sage. Not long before his death, Swartz expressed concerns about Altman to several friends. "You need to understand that Sam can never be trusted," he told one. "He is a sociopath. He would do anything."

Multiple senior executives at Microsoft said that, despite [CEO Satya] Nadella's long-standing loyalty, the company's relationship with Altman has become fraught. "He has misrepresented, distorted, renegotiated, reneged on agreements," one said... The senior executive at Microsoft said, of Altman, "I think there's a small but real chance he's eventually remembered as a Bernie Madoff- or Sam Bankman-Fried-level scammer."

In 2024 the Verge's consumer tech reporter paid $173 for a WD Black SN850X 2TB SSD. But "now that same SSD costs $649..."

"Like with RAM, demand from the AI industry is swallowing up supply from a limited number of manufacturers, leading to a drastic reduction in the inventory that's available to consumers" — and skyrocketing prices: The price on my WD Black drive nearly quadrupled since November 2025, and consumer SSDs across the board are seeing similar increases, much like with RAM. The 4TB version of the popular Samsung 990 Pro SSD previously cost $320, but will now run you nearly $1,000. External SanDisk SSDs saw a 200 percent price hike at the Apple Store in March....

According to price trends from PC Part Picker, NVMe SSD prices began ticking upward in December 2025, with prices on 256GB to 4TB SSDs now double or triple what they were just a few months ago, and continuing to climb.

An anonymous reader quotes a report from Ars Technica: The Trump administration has stepped up an effort to unmask a Reddit user who criticized Immigration and Customs Enforcement (ICE). After failing to obtain information through a summons issued (PDF) to Reddit, the government reportedly issued a subpoena demanding that Reddit provide the information and appear before a grand jury in Washington, DC. The Intercept described the subpoena today. "According to a subpoena obtained by The Intercept, Reddit has until April 14 to provide a wide range of personal data on one of its users, whom US Immigration and Customs Enforcement agents have been trying unsuccessfully to identify for more than a month," the article said.

The legal saga began in US District Court for the Northern District of California. On March 12, the anonymous Reddit user whose information is being sought filed a motion (PDF) to quash a summons seeking a host of information from Reddit. The summons was issued by the Department of Homeland Security and directed Reddit to turn information over to an ICE senior special agent. The summons cited authority under 19 U.S. Code 1509, which is part of the Smoot-Hawley Tariff Act of 1930. The motion to quash said the summons is not authorized by the law, which deals with imports of boats, alcoholic drinks, and animals, among other things.

"J. Doe is a US citizen who has not traveled out of the country, is not engaged in any international commerce, has no business concerns outside the United States, and primarily uses their Reddit account to engage in political speech relevant to their local community," said the filing by the Civil Liberties Defense Center (CLDC), which represents the Reddit user. "Yet the government claims the right to obtain Doe's name, telephone number, home address, banking and credit card information, IP addresses, telephone model number(s), and the names of any other accounts associated with their Reddit account. The information sought by the government in no way pertains to customs or importing or exporting merchandise, and is clearly intended to chill free speech." "We should be very, very, very concerned that they've now taken one of these to a grand jury," said David Greene, senior counsel for the Electronic Frontier Foundation. "It's something to be taken very seriously."

A Reddit spokesperson told Ars today that "we seek to inform users of any legal process compelling disclosure of their data, as we did in this case, because users should have the agency to protect their own information and are often better positioned to challenge requests that impact them."

"We do not voluntarily share information with any government, especially not on users exercising their rights to criticize the government or plan a protest. We review every inquiry for legal sufficiency and routinely object to requests that are overbroad or threaten civil rights. When legally compelled to disclose data, we provide only the minimum required and notify the user whenever possible so they can defend their interests."

Bruce66423 shares a report from the Guardian: The European parliament has blocked the extension of a law that permits big tech firms to scan for child sexual exploitation on their platforms, creating a legal gap that child safety experts say will lead to crimes going undetected. The law, which was a carve-out of the EU Privacy Act, was put in place in 2021 as a temporary measure allowing companies to use automated detection technologies to scan messages for harms, including child sexual abuse material (CSAM), grooming and sextortion. However, it expired on April 3, and the EU parliament decided not to vote to extend it, amid privacy concerns from some lawmakers.

The regulatory gap has created uncertainty for big tech companies, because while scanning for harms on their platforms is now illegal, they still remain liable to remove any illegal content hosted on their platforms under a different law, the Digital Services Act. Google, Meta, Snap and Microsoft said they would continue to voluntarily scan their platforms for CSAM, in a joint statement posted on a Google blog. Bruce66423 adds: "Child abuse as the excuse for avoiding privacy protections. Who would have thought it?"

France says it plans to move some government computers from Windows to Linux as part of a broader push for digital sovereignty and reduced dependence on U.S. technology. TechCrunch reports: In a statement, French minister David Amiel said (translated) that the effort was to "regain control of our digital destiny" by relying less on U.S. tech companies. Amiel said that the French government can no longer accept that it doesn't have control over its data and digital infrastructure. The French government did not provide a specific timeline for the switchover, or which distributions it was considering. Microsoft did not immediately comment on the news.

[...] France's decision to ditch Windows comes months after the government announced it would stop using Microsoft Teams for video conferencing in favor of French-made Visio, a tool based on the open source end-to-end encrypted video meeting tool Jitsi. The French government said it also plans to migrate its health data platform to a new trusted platform by the end of the year.

An anonymous reader quotes a report from the Guardian: [Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI's ChatGPT or Google's Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they're capable of doing a job as well as a human could -- meaning they could someday replace some of these human workers.

The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle -- or a temporary fallback following a layoff -- where top experts can, in some cases, earn over $180 an hour. But that's on the high end. For some older workers [...], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they're training their AI replacements in their professions is besides the point. They need the work now.

[...] "There's just a lot of desperation out there," Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls "bridge jobs" -- lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers -- engineers, lawyers, nurses or designers, for example -- using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives," Lahey told the Guardian.

AI training can offer flexibility, quick income and intellectual engagement. But it's often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn't come with benefits.

A $500,000 "Survivor"-style corporate retreat for 120 Plex employees in Honduras "turned into a week-long disaster involving illness, wild animals, armed guards, and employees stranded on a remote island," reports the Daily Beast. The CEO was bedridden by E. coli, staff were collapsing in brutal heat during Navy SEAL-led drills, there were fire ant attacks, uncooked food, and failing utilities. At one point, a porcupine even crashed through the ceiling of a guest's room. Here's an excerpt from the report: Tech media company Plex flew its 120 employees to a Honduran resort in 2017 for what was billed as a Survivor-style getaway. They called it "Plexcon." The first harbinger of trouble was an email that arrived before the group departed, informing them that the hotel manager and chef had both quit within days of each other. Things went sharply downhill from there.

CEO Keith Valory, 54, had flown out a day early, intending to channel his inner Jeff Probst and welcome his staff off the buses like a game show host. Instead, he spent the arrival morning flat on his back. "I got E. coli, which is maybe the worst thing you could get, possibly, ever," Valory told the Wall Street Journal this week. "Just as people were arriving on the buses, I was like, 'Uh oh.' I lost 8 or 10 pounds. They had a doctor come to me, which apparently is pretty standard. They nailed an IV bag to the bedpost."

With the CEO incapacitated, chief product officer and co-founder Scott Olechowski, 52, stepped in to run proceedings -- beginning with a forced eating challenge in which one employee had to consume a dead tarantula. [...] Sean Hoff, 42, founder of Moniker Partners, the independent retreat agency that planned the trip, was running himself ragged attempting damage control -- the showers, water, and electricity kept cutting out. [...] Meanwhile, senior software engineer Rick Phillips, 53, was trying to sleep when he heard a crash in his room. He ignored it until morning. "I got up and went over to get in the shower, and there was a porcupine," he said. "It must have climbed a tree and fallen through the ceiling."

A New York Times investigation by John Carreyrou claims a British cryptographer named Adam Back is the strongest circumstantial candidate yet for being Satoshi Nakamoto. The report citing overlaps in writing style, ideology, technical background, and old posts that outlined key parts of Bitcoin years before its launch. Carreyrou is a renowned investigative journalist and author, best known for exposing the massive fraud at Theranos while at the Wall Street Journal. Here's an excerpt from the report: ... As anyone steeped in Bitcoin lore will tell you, Satoshi was a master at the art of maintaining anonymity on the internet, leaving few, if any, digital footprints behind. But Satoshi did leave behind a corpus of texts, including a nine-page white paper (PDF) outlining his invention and his many posts on the Bitcointalk forum, an online message board where users gathered to discuss the digital currency's software, economics and philosophy. And that corpus, it turned out, had expanded significantly during the impostor's civil trial when Martti Malmi, a Finnish programmer who collaborated with Satoshi in Bitcoin's early days, released a trove of hundreds of emails he had exchanged with him. Emails Satoshi sent to other early Bitcoin adopters had surfaced before, but none came close in volume to the Malmi dump. If Satoshi was ever going to be found, I was convinced the key lay somewhere in these texts.

Then again, others must have gone down this road before me. Journalists, academics and internet sleuths had been trying to identify Satoshi for 16 years. During that span, more than 100 names had been put forward, including those of an Irish cryptography student, an unemployed Japanese American engineer, a South African criminal mastermind and the mathematician portrayed in the movie "A Beautiful Mind." The most alluring theories had focused on coincidences that aligned with what little was known about Satoshi: a particular code-writing style, a mysterious work history, an expertise in Bitcoin's key technical concepts, an anti-government worldview. But they had run aground under the weight of an alibi or some other piece of inconsistent or contrary evidence. Each failure had been met with glee by many members of the Bitcoin community. As they liked to point out, only Satoshi could definitively prove his identity by moving some of his coins. Any evidence short of that would be circumstantial.

It seemed foolish to think that I could somehow crack a case that had confounded so many others. But I craved the thrill of a big, challenging story. So I decided to try once more to unmask Bitcoin's mysterious creator. Back, for his part, denies being Satoshi, writing in a post on X: "i'm not satoshi, but I was early in laser focus on the positive societal implications of cryptography, online privacy and electronic cash, hence my ~1992 onwards active interest in applied research on ecash, privacy tech on cypherpunks list which led to hashcash and other ideas."

Starting May 20th, Amazon will stop Kindle Store access for Kindle and Kindle Fire devices released in 2012 and earlier. After that date, those devices will "no longer be able to purchase, borrow, or download new content." Owners can still read content already on the device, but if an affected device is reset or deregistered after the cutoff, it can't be re-registered. The Verge reports: The complete list of affected devices goes all the way back to the original Kindle that launched in 2007 with a full keyboard and scroll wheel. [...] Amazon will be notifying affected users over email ahead of May 20th with an explanation of what their older devices can and cannot do. Pre-2012 Kindle Fire devices will be subjected to the same limitations as Kindle e-readers when it comes to books, but other apps and Amazon services on those devices won't be impacted.

For longtime users wanting to take the opportunity to upgrade to newer Kindle hardware, Amazon will offer a 20 percent discount on new Kindle devices and a $20 ebook credit that will be added to their accounts after upgrading, valid until June 20th, 2026, at 11:59PM PT. Their older purchases will be available on new devices as long as they log in to the same account they've been using for the past 14 years or more.

Meta has launched Muse Spark, its first major AI model under Alexandr Wang's leadership. The model was built over the past nine months and is being positioned as a significant step up from Llama 4. Axios reports: Muse Spark will power queries in the Meta AI app and Meta.ai website immediately, with plans to expand across Facebook, Instagram and WhatsApp. The model accepts voice, text and image inputs, but produces text-only output. [...] Meta plans to release a version of Muse Spark under an open-source license.

The model uses a fast mode for casual queries and several reasoning modes. A "shopping mode" highlights how Meta hopes to differentiate itself. It combines large language models with data on user interests and behavior. Over time, the model will also power "features that cite recommendations and content people share across Instagram, Facebook, and Threads," Meta said in a blog post. Wang, the 29-year-old entrepreneur who co-founded Scale AI, joined Meta's "superintelligence" unit last year to help Meta catch up to rival models from OpenAI and Anthropic.

Apple may have a supply problem on its hands with the MacBook Neo... The laptop reportedly relies on "binned" A18 Pro chips with one GPU core disabled, and demand is so strong that the supply of those cheaper leftover chips could run out before the next model is ready. That leaves Apple choosing between lower margins, shifting production plans, or changing the lineup to keep its $599 hit product in stock. MacRumors reports: The all-new MacBook Neo has been such a hit that Apple is facing a "massive dilemma," according to Taiwan-based tech columnist and former Bloomberg reporter Tim Culpan. [...] In the latest edition of his Culpium newsletter today, Culpan said the MacBook Neo is selling so well that Apple's supply of the binned A18 Pro chips with a 5-core GPU will "run out" before the company is able to fully satisfy demand for the laptop. Apple's initial plan was to have suppliers build around five to six million MacBook Neo units before ceasing production of the model with the A18 Pro chip, he said, but it sounds like demand is so strong that Apple might run out of A18 Pro chips to put in the MacBook Neo before the second-generation MacBook Neo with an A19 Pro chip is ready next year. Apple is unlikely to mark the MacBook Neo as temporarily sold out, so it may be forced to take action, but profit margins might be affected.

A18 Pro chips are manufactured with TSMC's second-generation 3nm process, known as N3E, and Culpan said TSMC's N3E production lines are currently operating at maximum capacity. As a result, he said that Apple may have to pay a premium to restart A18 Pro chip production for the MacBook Neo, which would lower its profit margins. Apple would have to disable a GPU core on these chips to ensure that they have only a 5-core GPU, like all other MacBook Neo units sold to date. Alternatively, Culpan said that Apple could reallocate some of its chip production that was originally planned for other devices, but he said the cost would still be higher than what it paid for its initial batch of A18 Pro chips.

Culpan speculated that Apple could also opt to discontinue the $599 model with 256GB of storage, leaving the $699 model with 512GB of storage and a Touch ID button as the only configuration available. This is unlikely to happen any time soon, in our view, given how heavily Apple has been promoting the MacBook Neo's affordability. Apple might also be able to move up the release of a MacBook Neo with the iPhone 17 Pro's A19 Pro chip, but that too would be a costlier option, at least until the company achieves a sufficient stockpile of binned A19 Pro chips with a 5-core GPU. In any case, Apple could opt to keep the starting price of current and future MacBook Neo models at $599 and simply accept lower profit margins on the laptop, especially given that it attracts customers to the macOS and broader Apple ecosystem.

"Anthropic has unveiled Claude Mythos, a new AI model capable of discovering critical vulnerabilities at scale," writes Slashdot reader wiredmikey. "It's already powering Project Glasswing, a joint effort with major tech firms to secure critical software. But the same capabilities could also accelerate offensive cyber operations." SecurityWeek reports: Mythos is not an incremental improvement but a step change in performance over Anthropic's current range of frontier models: Haiku (smallest), Sonnet (middle ground), and Opus (most powerful). Mythos sits in a fourth tier named Copybara, and Anthropic describes it as superior to any other existing AI frontier model. It incorporates the current trend in the use of AI: the modern use of agentic AI. "The powerful cyber capabilities of Claude Mythos Preview are a result of its strong agentic coding and reasoning skills... the model has the highest scores of any model yet developed on a variety of software coding tasks," notes Anthropic in a blog titled Project Glasswing -- Securing critical software for the AI era.

In the last few weeks, Mythos Preview has identified thousands of zero-day vulnerabilities with many classified as critical. Several are ten or 20 years old -- the oldest found so far is a 27-years old bug in OpenBSD. Elsewhere, a 16-years old vulnerability found in video software has survived five million hits from other automated testing tools without ever being discovered. And it autonomously found and chained together several in the Linux kernel allowing an attacker to escalate from ordinary user access to complete control of the machine. [...] Anthropic is concerned that Mythos' capabilities could unleash cyberattacks too fast and too sophisticated for defenders to block. It hopes that Mythos can be used to improve cybersecurity generally before malicious actors can get access to it.

To this end, the firm has announced the next stage of this preparation as Project Glasswing, powered by Mythos Preview. Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. "Project Glasswing is a starting point. No one organization can solve these cybersecurity problems alone: frontier AI developers, other software companies, security researchers, open-source maintainers, and governments across the world all have essential roles to play." Claude Mythos Preview is described as a general-purpose, unreleased frontier model from Anthropic that has nevertheless completed its training phase. The firm does not plan to make Mythos Preview generally available. The implication is that 'Preview' is a term used solely to describe the current state of Mythos and the market's readiness to receive it, and will be dropped when the firm gets closer to general release.

The Associated Press is offering buyouts to U.S. journalists "as part of an acceleration away from the focus on newspaper journalism that sustained the company since the mid-1800s," the not-for-profit outlet reported today. AP says it is making the move from a position of strength, responding to shrinking newspaper revenue and growing demand from digital, broadcast, and tech clients.

"The AP is not in trouble," said Julie Pace, executive editor and senior vice president of the AP. "We're making these changes from a position of strength but we're doing so now to recognize our changing customer base." From the report: The news organization is becoming more focused on visual journalism and developing new revenue sources, particularly through companies investing in artificial intelligence, to cope with the economic collapse of many legacy news outlets. Once the lion's share of AP's revenue, big newspaper companies now account for 10% of its income. "We're not a newspaper company and we haven't been for quite some time," [said Pace].

Despite changes -- the company has doubled the number of video journalists it employs in the United States since 2022 -- remnants of a staffing structure built largely to provide stories to newspapers and broadcasters in individual states have remained. That has its roots well back in American history; the AP was started in the mid-19th century by New York newspapers looking to share the costs of reporting outside their immediate territory.

The number of AP journalists who will lose jobs is murky, in part intentionally. The AP does not say how many journalists it employs, though it has a large international presence as well as its U.S. staff. Pace said the AP's goal is to reduce its global staff by less than 5%. The Marketing and Media Alliance estimated the AP had 3,700 staffers, but it was not clear when that estimate was made. Since buyouts are being offered now to only U.S. journalists, it stands to reason that the cut among that workforce will be more than 5%. Whether there are layoffs depends on how many people take the offer, Pace said.

More Americans have moved into upper-middle-class incomes over the past several decades (source paywalled; alternative source), with new research suggesting that group has grown sharply while the lower and core middle class have shrunk. The Wall Street Journal reports: In 2024, about 31% of Americans were part of the upper middle class, up from about 10% in 1979, according to a report released this year by the right-leaning American Enterprise Institute. There is no single, standard definition of middle class, or upper middle class, and what counts as a hefty income in one city can feel paltry in another. The AEI report, by Stephen Rose and Scott Winship, classified a family of three earning $133,000 to $400,000 in 2024 dollars as upper middle class. Households earning more were categorized as rich. The analysis looked just at incomes, not assets such as stocks or real estate.

[...] The gains span generations. Many baby boomers, born to parents who grew up in the Great Depression, are living well on their savings, aided by steady Social Security checks and decades of stock-portfolio gains that they can now tap. Millennials, who everyone worried would be permanently set back by the 2008-09 financial crisis, are earning solid incomes, buying homes and surpassing their parents. Many families are surprised to find that they have moved into this new economic tier, and see themselves as comfortable, not rich. They tend to have jobs that are white collar but not flashy -- think accountants, not tech founders.

This doesn't mean that all Americans are climbing the ladder. Entrenched inflation and higher prices on major necessities have pushed many families closer to the financial edge, or locked them out of homeownership. Those costs weigh on high-earning families too, and for many are the reason they don't feel wealthy. The AEI report divided families into five different groups by income. Three groups were in the middle: lower middle class, core middle class and upper middle class. The authors found that more families now fall into the two highest-earning groups -- upper middle class and rich -- and fewer fall into the three lower-earning categories.