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.

Britain's flagship AI agency will slash the number of projects it backs and prioritize work on defense, environment and health as it seeks to respond to technological advances and criticism of its record. From a report: The Alan Turing Institute -- named after the pioneering British computer scientist -- will shut or offload almost a quarter of its 101 current initiatives and is considering job cuts as part of a change programme that led scores of staff to write a letter expressing their loss of confidence in the leadership in December.

Jean Innes, appointed chief executive in July 2023, argued that huge advances in AI meant the Turing needed to modernise after being founded as a national data science institute by David Cameron's government a decade ago this month. "The Turing has chalked up some really great achievements," Innes said in an interview. "[But we need] a big strategic shift to a much more focused agenda on a small number of problems that have an impact in the real world." A review last year by UK Research and Innovation, the government funding body, found "a clear need for the governance and leadership structure of the Institute to evolve." It called for a move away from the dominance of universities to a structure more representative of AI in UK.

Anthropic announced updates to the "responsible scaling" policy for its AI, including defining which of its model safety levels are powerful enough to need additional security safeguards. In an earlier version of its responsible scaling policy, 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." CNBC corrected that story to note that it had written about previous security safeguards Anthropic shared in October 2024. On Monday, Anthropic defined model capabilities that would require additional deployment and security safeguards beyond AI Safety Level (ASL) 3.

Software engineer Sergey Tselovalnikov weighs in on the new hype: The term caught on and Twitter quickly flooded with posts about how AI has radically transformed coding and will soon replace all software engineers. While AI undeniably impacts the way we write code, it hasn't fundamentally changed our role as engineers. Allow me to explain.

[...] Vibe coding is interacting with the codebase via prompts. As the implementation is hidden from the "vibe coder", all the engineering concerns will inevitably get ignored. Many of the concerns are hard to express in a prompt, and many of them are hard to verify by only inspecting the final artifact. Historically, all engineering practices have tried to shift all those concerns left -- to the earlier stages of development when they're cheap to address. Yet with vibe coding, they're shifted very far to the right -- when addressing them is expensive.

The question of whether an AI system can perform the complete engineering cycle and build and evolve software the same way a human can remains open. However, there are no signs of it being able to do so at this point, and if it one day happens, it won't have anything to do with vibe coding -- at least the way it's defined today.

[...] It is possible that there'll be a future where software is built from vibe-coded blocks, but the work of designing software able to evolve and scale doesn't go away. That's not vibe engineering -- that's just engineering, even if the coding part of it will look a bit different.

Intel Chief Executive Officer Lip-Bu Tan said the chipmaker will spin off assets that aren't central to its mission and create new products including custom semiconductors to try to better align itself with customers. From a report: Intel needs to replace the engineering talent it has lost, improve its balance sheet and better attune manufacturing processes to meet the needs of potential customers, Tan said. Speaking at his first public appearance as CEO, at the Intel Vision conference Monday in Las Vegas, Tan didn't specify what parts of Intel he believes are no longer central to its future.

"We have a lot of hard work ahead," Tan said, addressing the company's customers in the audience. "There are areas where we've fallen short of your expectations." The veteran semiconductor executive is trying to restore the fortunes of a company that dominated an industry for decades, but now finds itself chasing rivals in most of the areas that define success in the field. A key question confronting its leadership is whether a turnaround is best served by the company remaining whole or splitting up its key product and manufacturing operations. Tan gave no indication that he will seek to divest either part of Intel. Instead, he highlighted the problems he needs to fix to get both units performing more successfully. Intel's chips for data center and AI-related work in particular are not good enough, he said. "We fell behind on innovation," the CEO said. "We have been too slow to adapt and meet your needs."

OpenAI plans to release a new open-weight language model -- its first since GPT-2 -- in the coming months and is seeking community feedback to shape its development. "That's according to a feedback form the company published on its website Monday," reports TechCrunch. "The form, which OpenAI is inviting 'developers, researchers, and [members of] the broader community' to fill out, includes questions like 'What would you like to see in an open-weight model from OpenAI?' and 'What open models have you used in the past?'" From the report: "We're excited to collaborate with developers, researchers, and the broader community to gather inputs and make this model as useful as possible," OpenAI wrote on its website. "If you're interested in joining a feedback session with the OpenAI team, please let us know [in the form] below." OpenAI plans to host developer events to gather feedback and, in the future, demo prototypes of the model. The first will take place in San Francisco within a few weeks, followed by sessions in Europe and Asia-Pacific regions.

OpenAI is facing increasing pressure from rivals such as Chinese AI lab DeepSeek, which have adopted an "open" approach to launching models. In contrast to OpenAI's strategy, these "open" competitors make their models available to the AI community for experimentation and, in some cases, commercialization.

OpenAI is having another viral moment after releasing Images for ChatGPT last week, with millions of people creating Studio Ghibli-inspired AI art. In a post on X today, CEO Sam Altman said the company has "added one million users in the last hour" alone. A few days prior he begged users to stop generating images because he said "our GPUs are melting."

Micron will raise prices for DRAM and NAND flash memory chips through 2026 as AI and data center demand strains supply chains, the U.S. chipmaker confirmed Monday. The move follows a market rebound from previous oversupply, with memory prices steadily climbing as producers cut output while AI and high-performance computing workloads grow.

Rivals Samsung Electronics and SK Hynix are expected to implement similar increases. Micron cited "un-forecasted demand across various business segments" in communications to channel partners. The price hikes will impact sectors ranging from consumer electronics to enterprise data centers.

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."

What happens when you ask Copilot to "write a program that can be run on an iPhone 16 to select 15 random photos from the phone, tint them to random colors, and display the photos on the phone"?

That's what TouchDevelop did for the long-discontinued Windows Phone in a 2013 Microsoft Research 'SmartSynth' natural language code generation demo. ("Write scripts by tapping on the screen.")

Long-time Slashdot reader theodp reports on what happens when, 14 years later, you pose the same question to Copilot: "You'll get lots of code and caveats from Copilot, but nothing that you can execute as is. (Compare that to the functioning 10 lines of code TouchDevelop program). It's a good reminder that just because GenAI can generate code, it doesn't necessarily mean it will generate the least amount of code, the most understandable or appropriate code for the requestor, or code that runs unchanged and produces the desired results.
theodp also reminds us that TouchDevelop "was (like BASIC) abandoned by Microsoft..." Interestingly, a Microsoft Research video from CS Education Week 2011 shows enthusiastic Washington high school students participating in an hour-long TouchDevelop coding lesson and demonstrating the apps they created that tapped into music, photos, the Internet, and yes, even their phone's functionality. This shows how lacking iPhone and Android still are today as far as easy programmability-for-the-masses goes. (When asked, Copilot replied that Apple's Shortcuts app wasn't up to the task).

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..."

The giant financial news site Bloomberg "has been experimenting with using AI to help produce its journalism," reports the New York Times. But "It hasn't always gone smoothly."

While Bloomberg announced on January 15 that it would add three AI-generated bullet points at the top of articles as a summary, "The news outlet has had to correct at least three dozen A.I.-generated summaries of articles published this year." (This Wednesday they published a "hallucinated" date for the start of U.S. auto tariffs, and earlier in March claimed president Trump had imposed tariffs on Canada in 2024, while other errors have included incorrect figures and incorrect attribution.) Bloomberg is not alone in trying A.I. — many news outlets are figuring out how best to embrace the new technology and use it in their reporting and editing. The newspaper chain Gannett uses similar A.I.-generated summaries on its articles, and The Washington Post has a tool called "Ask the Post" that generates answers to questions from published Post articles. And problems have popped up elsewhere. Earlier this month, The Los Angeles Times removed its A.I. tool from an opinion article after the technology described the Ku Klux Klan as something other than a racist organization.

Bloomberg News said in a statement that it publishes thousands of articles each day, and "currently 99 percent of A.I. summaries meet our editorial standards...." The A.I. summaries are "meant to complement our journalism, not replace it," the statement added....

John Micklethwait, Bloomberg's editor in chief, laid out the thinking about the A.I. summaries in a January 10 essay, which was an excerpt from a lecture he had given at City St. George's, University of London. "Customers like it — they can quickly see what any story is about. Journalists are more suspicious," he wrote. "Reporters worry that people will just read the summary rather than their story." But, he acknowledged, "an A.I. summary is only as good as the story it is based on. And getting the stories is where the humans still matter."
A Bloomberg spokeswoman told the Times that the feedback they'd received to the summaries had generally been positive — "and we continue to refine the experience."

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].

Elon Musk says its xAI company has acquired the social media platform X in an all-stock transaction. "The combination values xAI at $80 billion and X at $33 billion ($45 billion less $12 billion debt)," said Musk. He writes on X: Since its founding two years ago, xAI has rapidly become one of the leading AI labs in the world, building models and data centers at unprecedented speed and scale. X is the digital town square where more than 600M active users go to find the real-time source of ground truth and, in the last two years, has been transformed into one of the most efficient companies in the world, positioning it to deliver scalable future growth.

xAI and X's futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent. This combination will unlock immense potential by blending xAI's advanced AI capability and expertise with X's massive reach. The combined company will deliver smarter, more meaningful experiences to billions of people while staying true to our core mission of seeking truth and advancing knowledge. This will allow us to build a platform that doesn't just reflect the world but actively accelerates human progress.

I would like to recognize the hardcore dedication of everyone at xAI and X that has brought us to this point. This is just the beginning. Thank you for your continued partnership and support.

An anonymous reader shares a report: A former director of data science at the UK prime minister's office has told MPs that people working with data in government are not typically technical and would be unlikely to get a similar job in the private sector.

In a hearing designed to illuminate the challenges facing the Department for Science, Innovation and Technology (DSIT) as it strives to become the digital centre for government, MPs quizzed Laura Gilbert, head of AI for Government, at the Ellison Institute and former director of data science at 10 Downing Street, the prime ministers' office.

Members of the House of Common's Science, Innovation and Technology Committee wanted to know about the performance of the Government Digital Service, which in January was moved from the Cabinet Office to DSIT and merged with Central Digital and Data Office (CDDO), the Incubator for AI (i.AI). Gilbert, a particle physicist who has worked in a number of tech industry roles, said one of the challenges was understanding the level of tech skills in the civil service in central government.