Circle, the issuer of the USDC stablecoin, has filed for an IPO aiming for a $5 billion valuation. It marks the company's second attempt at going public amid renewed momentum in the crypto sector and signs of recovery in tech IPO markets. CNBC reports: A prior merger with a special purpose acquisition company (SPAC) collapsed in late 2022 amid regulatory challenges. Since then, Circle has made strategic moves to position itself closer to the heart of global finance, including the announcement last year that it would relocate its headquarters from Boston to One World Trade Center in New York.

Circle reported $1.68 billion in revenue and reserve income in 2024, up from $1.45 billion in 2023 and $772 million in 2022. The company reported net income last year of about $156 million., down from $268 million a year earlier. A successful IPO would make Circle one of the most prominent pure-play crypto companies to list on a U.S. exchange. Coinbase went public through a direct listing in 2021 and has a market cap of about $44 billion.

MoffettNathanson has crowned YouTube the "New King of All Media" as the Alphabet-owned video platform has become a major force in Hollywood, dominating time spent watching TV. From a report: The firm estimates that YouTube as a standalone business could be worth as much as $550 billion -- or nearly 30% of the tech giant's current valuation. The figure is based on the firm's analysis of enterprise value as a multiple of revenue in 2024 for Netflix (10.5x revenue), Meta (8.8x), Roku (2.4x), Warner Bros. Discovery (1.4x), Fox (1.3x) and Disney (1.3x).

In 2024, YouTube was the second-largest media company by revenue at $54.2 billion, trailing behind only Disney. However, the MoffettNathanson analysts predict YouTube will take the top spot in 2025, becoming a leader in both engagement and revenue. "YouTube has the potential to become the central aggregator for all things professional video, positioning itself to capture a share of the $85 billion consumer Pay TV market and the ~$30 billion streaming ex. Netflix market in the U.S.," they wrote in a Monday research note. "On monetization, when comparing YouTube's massive TV screen engagement to its estimated TV revenue, it remains significantly under-monetized relative to its scaled reach and differentiated offering. This signals a substantial runway for improving its monetization strategy."

An anonymous reader quotes a report from Ars Technica: What does it take to get OpenAI and Anthropic -- two competitors in the AI assistant market -- to get along? Despite a fundamental difference in direction that led Anthropic's founders to quit OpenAI in 2020 and later create the Claude AI assistant, a shared technical hurdle has now brought them together: How to easily connect their AI models to external data sources. The solution comes from Anthropic, which developed and released an open specification called Model Context Protocol (MCP) in November 2024. MCP establishes a royalty-free protocol that allows AI models to connect with outside data sources and services without requiring unique integrations for each service.

"Think of MCP as a USB-C port for AI applications," wrote Anthropic in MCP's documentation. The analogy is imperfect, but it represents the idea that, similar to how USB-C unified various cables and ports (with admittedly a debatable level of success), MCP aims to standardize how AI models connect to the infoscape around them. So far, MCP has also garnered interest from multiple tech companies in a rare show of cross-platform collaboration. For example, Microsoft has integrated MCP into its Azure OpenAI service, and as we mentioned above, Anthropic competitor OpenAI is on board. Last week, OpenAI acknowledged MCP in its Agents API documentation, with vocal support from the boss upstairs. "People love MCP and we are excited to add support across our products," wrote OpenAI CEO Sam Altman on X last Wednesday.

MCP has also rapidly begun to gain community support in recent months. For example, just browsing this list of over 300 open source servers shared on GitHub reveals growing interest in standardizing AI-to-tool connections. The collection spans diverse domains, including database connectors like PostgreSQL, MySQL, and vector databases; development tools that integrate with Git repositories and code editors; file system access for various storage platforms; knowledge retrieval systems for documents and websites; and specialized tools for finance, health care, and creative applications. Other notable examples include servers that connect AI models to home automation systems, real-time weather data, e-commerce platforms, and music streaming services. Some implementations allow AI assistants to interact with gaming engines, 3D modeling software, and IoT devices.

Google's AI arm DeepMind has been holding back the release of its world-renowned research, as it seeks to retain a competitive edge in the race to dominate the burgeoning AI industry. From a report: The group, led by Nobel Prize-winner Sir Demis Hassabis, has introduced a tougher vetting process and more bureaucracy that made it harder to publish studies about its work on AI, according to seven current and former research scientists at Google DeepMind. Three former researchers said the group was most reluctant to share papers that reveal innovations that could be exploited by competitors, or cast Google's own Gemini AI model in a negative light compared with others.

The changes represent a significant shift for DeepMind, which has long prided itself on its reputation for releasing groundbreaking papers and as a home for the best scientists building AI. Meanwhile, huge breakthroughs by Google researchers -- such as its 2017 "transformers" paper that provided the architecture behind large language models -- played a central role in creating today's boom in generative AI. Since then, DeepMind has become a central part of its parent company's drive to cash in on the cutting-edge technology, as investors expressed concern that the Big Tech group had ceded its early lead to the likes of ChatGPT maker OpenAI.

"I cannot imagine us putting out the transformer papers for general use now," said one current researcher. Among the changes in the company's publication policies is a six-month embargo before "strategic" papers related to generative AI are released. Researchers also often need to convince several staff members of the merits of publication, said two people with knowledge of the matter.

An anonymous reader quotes a report from Reuters: China's Xiaomi said on Tuesday that it was actively cooperating with police after a fatal accident involving a SU7 electric vehicle on March 29 and that it had handed over driving and system data. The incident marks the first major accident involving the SU7 sedan, which Xiaomi launched in March last year and since December has outsold Tesla's Model 3 on a monthly basis. Xiaomi's shares, which had risen by 34.8% year to date, closed down 5.5% on Wednesday, underperforming a 0.2% gain in the Hang Seng Tech index. Xiaomi did not disclose the number of casualties but said initial information showed the car was in the Navigate on Autopilot intelligent-assisted driving mode before the accident and was moving at 116 kph (72 mph).

A driver inside the car took over and tried to slow it down but then collided with a cement pole at a speed of 97 kph, Xiaomi said. The accident in Tongling in the eastern Chinese province of Anhui killed the driver and two passengers, Chinese financial publication Caixin reported on Tuesday citing friends of the victims. In a rundown of the data submitted to local police posted on a Weibo account of the company, Xiaomi said NOA issued a risk warning of obstacles ahead and its subsequent immediate takeover only happened seconds before the collision. Local media reported that the car caught fire after the collision. Xiaomi did not mention the fire in the statement. The report notes that the car was a "so-called standard version of the SU7, which has the less-advanced smart driving technology without LiDAR."

Anthropic said it will start sweeping physical offices for hidden devices as part of a ramped-up security effort as the AI race intensifies. From a report: The company, backed by Amazon and Google, published safety and security updates in a blog post on Monday, and said it also plans to establish an executive risk council and build an in-house security team. Anthropic closed its latest funding round earlier this month at a $61.5 billion valuation, which makes it one of the highest-valued AI startups.

In addition to high-growth startups, tech giants including Google, Amazon and Microsoft are racing to announce new products and features. Competition is also coming from China, a risk that became more evident earlier this year when DeepSeek's AI model went viral in the U.S. Anthropic said in the post that it will introduce "physical" safety processes, such as technical surveillance countermeasures -- or the process of finding and identifying surveillance devices that are used to spy on organizations. The sweeps will be conducted "using advanced detection equipment and techniques" and will look for "intruders."

Taiwanese authorities have accused 11 Chinese companies, including SMIC, of secretly setting up disguised entities in Taiwan to illegally recruit tech talent from firms like Intel and Microsoft. The Register reports: One of those companies is apparently called Yunhe Zhiwang (Shanghai) Technology Co., Ltd and develops high-end network chips. The Bureau claims its chips are used in China's "Data East, Compute West" strategy that, as we reported when it was announced in 2022, calls for five million racks full of kit to be moved from China's big cities in the east to new datacenters located near renewable energy sources in country's west. Datacenters in China's east will be used for latency-sensitive applications, while heavy lifting takes place in the west. Staff from Intel and Microsoft were apparently lured to work for Yunhe Zhiwang, which disguised its true ownership by working through a Singaporean company.

The Investigation Bureau also alleged that China's largest chipmaker, Semiconductor Manufacturing International Corporation (SMIC), used a Samoan company to establish a presence in Taiwan and then hired local talent. That's a concerning scenario as SMIC is on the USA's "entity list" of organizations felt to represent a national security risk. The US gets tetchy when its friends and allies work with companies on the entity list.

A third Chinese entity, Shenzhen Tongrui Microelectronics Technology, disguised itself so well Taiwan's Ministry of Industry and Information Technology lauded it as an important innovator and growth company. As a result of the Bureau's work, prosecutors' offices in seven Taiwanese cities are now looking into 11 Chinese companies thought to have hidden their ties to Beijing.

An anonymous reader shares a report: Microsoft has closed its IoT & AI Insider Lab in Shanghai's Zhangjiang hi-tech zone, marking the latest sign of the US tech giant's retreat from China amid rising geopolitical tensions.

The Shanghai lab, meant to help with domestic development of the Internet of Things (IoT) and artificial intelligence (AI) technologies, closed earlier this year, according to people who work in the Zhangjiang AI Island area. Opened in May 2019, Microsoft's IoT & AI Insider Lab was touted as a flagship collaboration between the global tech giant and Zhangjiang, the innovation hub of Shanghai's Pudong district, where numerous domestic and international semiconductor and AI companies have set up shop. The lab covered roughly 2,800 square meters (30,000 square feet).

Learning to code has become sort of become pointless as AI increasingly dominates programming tasks, said Replit founder and chief executive Amjad Masad. "I no longer think you should learn to code," Masad wrote on X.

The statement comes as major tech executives report significant AI inroads into software development. Google CEO Sundar Pichai recently revealed that 25% of new code at the tech giant is AI-generated, though still reviewed by engineers. Furthermore, Anthropic CEO Dario Amodei predicted AI could generate up to 90% of all code within six months.

Masad called this shift a "bittersweet realization" after spending years popularizing coding through open-source work, Codecademy, and Replit -- a platform that now uses AI to help users build apps and websites. Instead of syntax-focused programming skills, Masad recommends learning "how to think, how to break down problems... how to communicate clearly, with humans and with machines."

The U.S. and China "are racing to build a truly useful humanoid worker," the Wall Street Journal wrote Saturday, adding that "Whoever wins could gain a huge edge in countless industries."

"The time has come for robots," Nvidia's chief executive said at a conference in March, adding "This could very well be the largest industry of all." China's government has said it wants the country to be a world leader in humanoid robots by 2027. "Embodied" AI is listed as a priority of a new $138 billion state venture investment fund, encouraging private-sector investors and companies to pile into the business. It looks like the beginning of a familiar tale. Chinese companies make most of the world's EVs, ships and solar panels — in each case, propelled by government subsidies and friendly regulations. "They have more companies developing humanoids and more government support than anyone else. So, right now, they may have an edge," said Jeff Burnstein [president of the Association for Advancing Automation, a trade group in Ann Arbor, Michigan]....

Humanoid robots need three-dimensional data to understand physics, and much of it has to be created from scratch. That is where China has a distinct edge: The country is home to an immense number of factories where humanoid robots can absorb data about the world while performing tasks. "The reason why China is making rapid progress today is because we are combining it with actual applications and iterating and improving rapidly in real scenarios," said Cheng Yuhang, a sales director with Deep Robotics, one of China's robot startups. "This is something the U.S. can't match." UBTech, the startup that is training humanoid robots to sort and carry auto parts, has partnerships with top Chinese automakers including Geely... "A problem can be solved in a month in the lab, but it may only take days in a real environment," said a manager at UBTech...

With China's manufacturing prowess, a locally built robot could eventually cost less than half as much as one built elsewhere, said Ming Hsun Lee, a Bank of America analyst. He said he based his estimates on China's electric-vehicle industry, which has grown rapidly to account for roughly 70% of global EV production. "I think humanoid robots will be another EV industry for China," he said. The UBTech robot system, called Walker S, currently costs hundreds of thousands of dollars including software, according to people close to the company. UBTech plans to deliver 500 to 1,000 of its Walker S robots to clients this year, including the Apple supplier Foxconn. It hopes to increase deliveries to more than 10,000 in 2027.

Few companies outside China have started selling AI-powered humanoid robots. Industry insiders expect the competition to play out over decades, as the robots tackle more-complicated environments, such as private homes.
The article notes "several" U.S. humanoid robot producers, including the startup Figure. And robots from Amazon's Agility Robotics have been tested in Amazon warehouses since 2023. "The U.S. still has advantages in semiconductors, software and some precision components," the article points out.

But "Some lawmakers have urged the White House to ban Chinese humanoids from the U.S. and further restrict Chinese robot makers' access to American technology, citing national-security concerns..."

A former Facebook director of global policy recently published "the book Meta doesn't want you to read," a scathing takedown of top Meta executives titled Careless People: A Cautionary Tale of Power, Greed, and Lost Idealism.

But Wednesday RestofWorld.org published additional thoughts from Meta's former head of public policy for Bangladesh (who is now an executive director at the nonprofit policy lab Tech Global Institute). Though their time at Facebook didn't overlap, they first applaud how the book "puts a face to the horrific events and dangerous decisions."

But having said that, "What struck me is that what isn't included in Careless People is more telling than what is." By 2012 — one year after joining Facebook — Wynn-Williams had ample evidence of the platform's role in enabling violence and harm upon its users, and state-sanctioned digital repression, yet her memoir neither mentions these events nor the repeated warnings to her team from civil society groups in Asia before the situation escalated... In recounting events, the author glosses over her own indifference to repeated warnings from policymakers, civil society, and internal teams outside the U.S. that ultimately led to serious harm to communities.

She briefly mentions how Facebook's local staff was held at gunpoint to give access to data or remove content in various countries — something that had been happening since as early as 2012. Yet, she failed to grasp the gravity of these risks until the possibility of her facing jail time arises in South Korea — or even more starkly in March 2016, when Facebook's vice president for Latin America, Diego Dzodan, was arrested in Brazil. Her delayed reckoning underscores how Facebook's leadership remains largely detached from real-world consequences of their decisions until they become impossible to ignore.

Perhaps because everyone wants to be a hero of their own story, Wynn-Williams frames her opposition to leadership decisions as isolated; in reality, powerful resistance had long existed within what Wynn-Williams describes as Facebook's "lower-level employees."
Yet "Despite telling an incomplete story, Careless People is a book that took enormous courage to write," the article concludes, calling it an important story to tell.

"It goes to show that we need many stories — especially from those who still can't be heard — if we are to meaningfully piece together the complex puzzle of one of the world's most powerful technology companies."

The New York Times notes that white-collar workers have faced higher unemployment than other groups in the U.S. over the past few years — along with slower wager growth.

Some economists wonder if this trend might be irreversible... and partly attributable to AI: After sitting below 4% for more than two years, the overall unemployment rate has topped that threshold since May... "We're seeing a meaningful transition in the way work is done in the white-collar world," said Carl Tannenbaum, the chief economist of Northern Trust. "I tell people a wave is coming...." Thousands of video game workers lost jobs last year and the year before... Unemployment in finance and related industries, while still low, increased by about a quarter from 2022 to 2024, as rising interest rates slowed demand for mortgages and companies sought to become leaner....

Overall, the latest data from the Federal Reserve Bank of New York show that the unemployment rate for college grads has risen 30% since bottoming out in September 2022 (to 2.6% from 2%), versus about 18% for all workers (to 4% from 3.4%). An analysis by Julia Pollak, chief economist of ZipRecruiter, shows that unemployment has been most elevated among those with bachelor's degrees or some college but no degree, while unemployment has been steady or falling at the very top and bottom of the education ladder — for those with advanced degrees or without a high school diploma. Hiring rates have slowed more for jobs requiring a college degree than for other jobs, according to ADP Research, which studies the labor market....

And artificial intelligence could reduce that need further by increasing the automation of white-collar jobs. A recent academic paper found that software developers who used an AI coding assistant improved a key measure of productivity by more than 25% and that the productivity gains appeared to be largest among the least experienced developers. The result suggested that adopting AI could reduce the wage premium enjoyed by more experienced coders, since it would erode their productivity advantages over novices... [A]t least in the near term, many tech executives and their investors appear to see AI as a way to trim their staffing. A software engineer at a large tech company who declined to be named for fear of harming his job prospects said that his team was about half the size it was last year and that he and his co-workers were expected to do roughly the same amount of work by relying on an AI assistant. Overall, the unemployment rate in tech and related industries jumped by more than half from 2022 to 2024, to 4.4% from 2.9%.
"Some economists say these trends may be short term in nature and little cause for concern on their own," the article points out (with one economist noting the unemployment rate is still low compared to historical averages).

Harvard labor economist Lawrence Katz even suggested the slower wage growth could reflect the discount that these workers accepted in return for being able to work from home.

Thanks to Slashdot reader databasecowgirl for sharing the article.

Samsung teased its "AI Vision Inside" refrigerators at January's CES tradeshow. (Its internal sensors can now detect 37 different fresh ingredients and 50 processed foods, generating lists for your cellphone or a screen on your refrigerator's door.)

But the refrigerators are part of a larger "AI Home" lineup of screen-enabled appliances with advanced AI features, and Engadget got to see them all together this weekend at Samsung's Bespoke AI conference in Seoul, Korea: The centerpiece of the Bespoke line remains Samsung's 4-door French-Door refrigerator, which is now available with two different-sized screens. There's a model with a smaller 9-inch screen that starts at $3,999 or one with a massive 32-inch panel called the Family Hub+ for $4,699. The former is ostensibly designed for people who want something a bit more discreet but still want access to Samsung's smart features, which includes widgets for your calendar, music, weather, various cooking apps and more. Meanwhile, the larger model is for families who aren't afraid of having a small TV in their face every time they open their fridge. You can even play videos from TikTok on it, if that's what you're into....

For cooking, Samsung's matte glass induction cooktops are mostly the same, but its Bespoke 30-inch single ($3,759) and double ($4,649) wall ovens have...you guessed it, more AI. In addition to a 7-inch display, there are also cameras and sensors inside the oven that can recognize up to 80 different recipes to provide optimal cooking times. But if you prefer to go off-script and create something original, Samsung says the oven will give you the option to save the recipe and temperature settings after cooking the same dish five times. And for a more fun application of its tech, the oven's cameras can record videos and create time-lapses of your baked goods for sharing on social media.

When it's time to clean up, Samsung's $1,399 Bespoke Auto Open Door Dishwasher has a few tricks of its own. In this case, the washer uses AI (yet again) and sensors to more accurately detect food residue and optimize cleaning cycles...
There's also an "AI Jet Ultra Cordless Stick" vacuum cleaner, which "uses AI to better detect what surface its on to more effectively hoover up dirt and debris."

Interestingly, in January Samsung's refrigerators also got a mention in iFixit's "Worst of CES" video.

"I am having conversations every day with people whose careers are sort of over," a 53-year-old film and TV director told the New York Times: If you entered media or image-making in the '90s — magazine publishing, newspaper journalism, photography, graphic design, advertising, music, film, TV — there's a good chance that you are now doing something else for work. That's because those industries have shrunk or transformed themselves radically, shutting out those whose skills were once in high demand... When digital technology began seeping into their lives, with its AOL email accounts, Myspace pages and Napster downloads, it didn't seem like a threat. But by the time they entered the primes of their careers, much of their expertise had become all but obsolete.

More than a dozen members of Generation X interviewed for this article said they now find themselves shut out, economically and culturally, from their chosen fields. "My peers, friends and I continue to navigate the unforeseen obsolescence of the career paths we chose in our early 20s," Mr. Wilcha said. "The skills you cultivated, the craft you honed — it's just gone. It's startling." Every generation has its burdens. The particular plight of Gen X is to have grown up in one world only to hit middle age in a strange new land. It's as if they were making candlesticks when electricity came in. The market value of their skills plummeted...

Typically, workers in their 40s and 50s are entering their peak earning years. But for many Gen-X creatives, compensation has remained flat or decreased, factoring in the rising cost of living. The usual rate for freelance journalists is 50 cents to $1 per word — the same as it was 25 years ago... As opportunities and incomes dwindle, Gen X-ers in creative fields are weighing their options. Move to a lower-cost place and remain committed to the work you love? Look for a bland corporate job that might provide health insurance and a steady paycheck until retirement?
The article includes several examples of the trend:

• One magazine's photo studio director says professional photographers have been replaced by "a 20-year-old kid who will do the job for $500."

• The article adds that "When photography went digital, photo lab technicians and manual retouchers were suddenly as inessential as medieval scribes." (And "In advertising, brands ditched print and TV campaigns that required large crews for marketing plans that relied on social media posts."")

• An editor at Spin magazine remembers the day its print edition folded...

And besides competition from influencers, there's also AI, "which seems likely to replace many of the remaining Gen X copywriters, photographers and designers. By 2030, ad agencies in the United States will lose 32,000 jobs, or 7.5 percent of the industry's work force, to the technology, according to the research firm Forrester."

Meanwhile the cost of living has skyrocketed, the article points out — even while Gen X-ers "are less secure financially than baby boomers and lack sufficient retirement savings, according to recent surveys..."

An anonymous reader quotes a report from MIT Technology Review: The first clinical trial of a therapy bot that uses generative AI suggests it was as effective as human therapy for participants with depression, anxiety, or risk for developing eating disorders. Even so, it doesn't give a go-ahead to the dozens of companies hyping such technologies while operating in a regulatory gray area. A team led by psychiatric researchers and psychologists at the Geisel School of Medicine at Dartmouth College built the tool, called Therabot, and the results were published on March 27 in the New England Journal of Medicine. Many tech companies are building AI therapy bots to address the mental health care gap, offering more frequent and affordable access than traditional therapy. However, challenges persist: poorly worded bot responses can cause harm, and forming meaningful therapeutic relationships is hard to replicate in software. While many bots rely on general internet data, researchers at Dartmouth developed "Therabot" using custom, evidence-based datasets. Here's what they found: To test the bot, the researchers ran an eight-week clinical trial with 210 participants who had symptoms of depression or generalized anxiety disorder or were at high risk for eating disorders. About half had access to Therabot, and a control group did not. Participants responded to prompts from the AI and initiated conversations, averaging about 10 messages per day. Participants with depression experienced a 51% reduction in symptoms, the best result in the study. Those with anxiety experienced a 31% reduction, and those at risk for eating disorders saw a 19% reduction in concerns about body image and weight. These measurements are based on self-reporting through surveys, a method that's not perfect but remains one of the best tools researchers have.

These results ... are about what one finds in randomized control trials of psychotherapy with 16 hours of human-provided treatment, but the Therabot trial accomplished it in about half the time. "I've been working in digital therapeutics for a long time, and I've never seen levels of engagement that are prolonged and sustained at this level," says [Michael Heinz, a research psychiatrist at Dartmouth College and Dartmouth Health and first author of the study].