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.

Fake movie trailers created with AI are proliferating across YouTube, with some garnering more views than official studio releases -- and Hollywood studios are quietly profiting from the phenomenon rather than shutting it down. Instead of enforcing copyright on these unauthorized videos, Warner Bros. Discovery, Sony Pictures, and Paramount are claiming monetization rights, directing ad revenue from fake trailers for films like "Superman" and "Gladiator II" into studio coffers, according to a Deadline investigation published Friday.

YouTube channels like Screen Culture, which has amassed 1.4 billion views, merge official footage with AI-generated imagery to create convincing trailer mockups that frequently rank higher in search results than legitimate studio releases. "Monetizing unauthorized, unwanted, and subpar uses of human-centered IP is a race to the bottom," SAG-AFTRA told Deadline, condemning studios for profiting from content that exploits performers without permission.

theodp writes: "As I prepared for a White House meeting last fall on the nation's electricity needs," begins Microsoft President Brad Smith in The Country Needs More Electricity --And More Electricians, a Fox Business op-ed. "I met with the leaders at Microsoft who are building our AI infrastructure across the country. During our discussion, I asked them to identify the single biggest challenge for data center expansion in the U.S. I expected they would mention slow permitting, delays in bringing more power online or supply chain constraints -- all significant challenges. But instead, they highlighted a national shortage of people. Electricians, to be precise."

Much as Smith has done in the past as he declared crisis-level shortages of Computer Science, cybersecurity, and AI talent, he's calling for the nation's politicians and educators to step up to the plate and deliver students trained to address the data center expansion plans of Microsoft and Big Tech.

"How many new electricians must the U.S. recruit and train over the next decade?" Smith asks. "Probably half a million. [...] The good news is that these are good jobs. The bad news is that we don't have a national strategy to recruit and train the people to fill these jobs. Given the Trump administration's commitment to supporting American workers, American jobs and American innovation, we believe that recruiting and training more electricians should rise to its list of priorities. There are several ways to address this issue, and they deserve consideration. For example, we need to do more as a nation to revitalize the industrial arts and shop classes in American high schools. [...] This should be a priority for local school boards, state governors and appropriate federal support. [..] We must also adopt a broad perspective on where new technology is taking us. The tech sector is most often focused on computer and data science -- people who code. But the future will also be built in critical ways by a new generation of engineers, electricians, plumbers, pipefitters, iron workers, carpenters and other skilled trades.

So, is 'Learn to Wire' the new 'Learn to Code'?

SoftBank Group plans to create industrial parks for AI across the US and is considering an investment of more than $1 trillion, Nikkei reported. From a report: Founder and Chief Executive Officer Masayoshi Son is expected to visit the US to discuss his ideas for such industrial parks, the newspaper said. The factories would likely use AI-equipped robots that would operate autonomously because of labor shortages in the country, according to the report.

Son teamed up with OpenAI and Oracle in January to unveil a $100 billion joint venture to fund AI infrastructure in the US, one of the first such pledges after Donald Trump became president. They said at the time they would deploy $100 billion immediately with the goal of increasing that to at least $500 billion for data centers and physical campuses.

uninet writes: The same year Apple launched the iPhone, it unveiled a massive upgrade to Mac OS X known as Leopard, sporting "300 New Features." Two years later, it did something almost unheard of: it released Snow Leopard, an upgrade all about how little it added and how much it took away. Apple needs to make it snow again. Current releases of MacOS Sequoia and iOS/iPadOS 18 are riddled with easily reproducible bugs in high-traffic areas, the author argues, suggesting Apple's engineers aren't using their own software. Messages can't reliably copy text, email connections randomly fail, and Safari frequently jams up. Even worse are the baffling design decisions, like burying display arrangement settings and redesigning Photos with needless margins and inconsistent navigation.

Apple's focus on the Vision Pro while AI advances raced ahead has left them scrambling to catch up, the author argues, with Apple Intelligence features now indefinitely delayed. The author insists that Apple's products still remain better than Windows or Android alternatives -- but "least bad" isn't the premium experience Apple loyalists expect. With its enormous resources, Apple could easily have teams focus on cleaning up existing software while simultaneously developing AI features.

Further reading: 'Something Is Rotten in the State of Cupertino' .

Anthropic researchers have developed a breakthrough "cross-layer transcoder" (CLT) that functions like an fMRI for large language models, mapping how they process information internally. Testing on Claude 3.5 Haiku, researchers discovered the model performs longer-range planning for specific tasks -- such as selecting rhyming words before constructing poem sentences -- and processes multilingual concepts in a shared neural space before converting outputs to specific languages.

The team also confirmed that LLMs can fabricate reasoning chains, either to please users with incorrect hints or to justify answers they derived instantly. The CLT identifies interpretable feature sets rather than individual neurons, allowing researchers to trace entire reasoning processes through network layers.

An anonymous reader shares a report: For decades, India's economic promise has rested on its demographic dividend -- the competitive edge of a massive, young, and increasingly educated workforce. Economists and policymakers have routinely cited the country's population profile as its ticket to economic superpower status, with projections of reaching $10 trillion in GDP and achieving high-income status by 2047. These forecasts depend heavily on a critical assumption: that roughly 500 million Indians currently aged 5-24 will find productive employment as they enter the workforce over the next two decades. But a sobering new analysis from Bernstein suggests this fundamental premise may be crumbling under the weight of rapid advances in AI.

"The advent of AI threatens to erode all the advantages of India's rich demographic dividend," write Bernstein analysts Venugopal Garre and Nikhil Arela, who characterize their assessment as a potential "doomsday scenario" for a nation that has hitched its economic wagon to services-led growth. At stake is India's $350 billion services export sector -- a sprawling ecosystem of IT outsourcing, business process management, and offshore knowledge centers that employs over 10 million workers, mostly in jobs that place them in the top 25% of the country's income distribution.

While India's IT giants have successfully navigated previous technological shifts -- from basic call centers in the late 1980s to cloud computing and data analytics more recently -- AI poses a fundamentally different challenge. Unlike earlier transitions that required human adaptation, today's AI systems threaten to replace rather than complement the workforce. "AI subscriptions that come at a fraction of the costs of India's entry level engineers can be deployed to perform tasks at higher precision and speed," the report note.

Following OpenAI's viral Studio Ghibli moment, CEO Sam Altman says it has temporarily limited image generation in ChatGPT due to the overwhelming demand on its GPU infrastructure. "It's super fun seeing people love images in ChatGPT, but our GPUs are melting," he posted on X today. The Verge reports: The demand crunch already caused the artificial intelligence company to push back availability of the built-in image generator for users on ChatGPT's free tier. But apparently that measure alone wasn't enough to ease the stress on OpenAI's infrastructure. (Altman said free users will "soon" be able to generate up to three images per day.)

U.S. robotics companies, including Tesla and Boston Dynamics, are urging lawmakers to establish a national robotics strategy to keep pace with China's aggressive investment in AI-driven robotics. The Associated Press reports: Jeff Cardenas, co-founder and CEO of humanoid startup Apptronik, of Austin, Texas, pointed out to lawmakers that it was American carmaker General Motors that deployed the first industrial robot at a New Jersey assembly plant in 1961. But the U.S. then ceded its early lead to Japan, which remains a powerhouse of industrial robotics, along with Europe. The next robotics race will be powered by artificial intelligence and will be "anybody's to win," Cardenas said in an interview after the closed-door meeting. "I think the U.S. has a great chance of winning. We're leading in AI, and I think we're building some of the best robots in the world. But we need a national strategy if we're going to continue to build and stay ahead."

The Association for Advancing Automation said a national strategy would help U.S. companies scale production and drive the adoption of robots as the "physical manifestation" of AI. The group made it clear that China and several other countries already have a plan in place. Without that leadership, "the U.S. will not only lose the robotics race but also the AI race," the association said in a statement. The group also suggested tax incentives to help drive adoption, along with federally-funded training programs and funding for both academic research and commercial innovation. A new federal robotics office, the association argued, is necessary partly because of "the increasing global competition in the space" as well as the "growing sophistication" of the technology.

An anonymous reader quotes a report from the BBC: Fashion retailer H&M is to use artificial intelligence (AI) to create digital "twins" of 30 models. It says it will use the AI doppelgangers in some social media posts and marketing in the place of humans, if given permission by models. "We are curious to explore how to showcase our fashion in new creative ways -- and embrace the benefits of new technology -- while staying true to our commitment to personal style," said its chief creative officer Jorgen Andersson in a statement.

The initiative was first reported by industry publication Business of Fashion. H&M told the outlet that models would retain rights over their digital replicas and their use by the company and other brands for purposes such as marketing. Its images are likely to be initially used in social media posts, with watermarks that make their AI use clear, it added. H&M also said models would be compensated for use of their digital twins in a similar way to current arrangements -- which sees them paid for use of their images based on rates agreed by their agent.

Google is rolling out new AI-powered features across Maps, Search, and Hotels to simplify travel planning, including a screenshot-detection tool in Maps that identifies and saves locations mentioned in image text. The Verge reports: Once the new screenshot list is enabled in Maps, the Gemini-powered feature will detect places that are mentioned in text within screenshots on the device, show users the locations on the map, and allow them to review and save locations to a sharable list. The screenshot list feature will start rolling out in English this week to iOS users in the US, with Android support "coming soon."

AI Overviews for Google Search are also being updated to expand travel planning tools, with itinerary-building features rolling out in English to mobile and desktop devices in the US this week that can create trip ideas for "distinct regions or entire countries." Users can use terms like "create a vacation itinerary for Greece that focuses on history" to explore reviews and photos from other users alongside a map of location recommendations, which can be saved to Google Maps or exported to Docs or Gmail.

Columbia University has suspended the student who created an AI tool designed to help job candidates cheat on technical coding interviews, according to disciplinary documents seen by Business Insider. Chungin "Roy" Lee received a yearlong suspension for "publishing unauthorized documents" from a disciplinary hearing about his product, Interview Coder, not for creating the tool itself. Lee had signed a form agreeing not to disclose his disciplinary record or post hearing materials online.

Interview Coder, which sells for $60 monthly, is on track to generate $2 million in annual revenue, Lee said. The university initially placed him on probation after finding him responsible for "facilitation of academic dishonesty." Lee had already submitted paperwork for a leave of absence before his suspension. He told BI he plans to move to San Francisco, which "was my plan all along."

Microsoft CEO Satya Nadella has told employees that DeepSeek's R1 AI model has set "the new bar" for his company's AI ambitions, citing the startup's ability to reach the top of app store rankings. "What's most impressive about DeepSeek is that it's a great reminder of what 200 people can do when they come together with one thought and one play," The Verge cited Nadella as saying.

"Most importantly, not just leaving it there as a research project or an open source project, but to turn it into a product that was number one in the App Store. That's the new bar to me," he added. Microsoft quickly deployed DeepSeek's R1 on its Azure platform in January. The AI model gained recognition for its optimization below Nvidia's CUDA layer, enabling greater efficiency.

Paul Ginsparg, a physics professor at Cornell University, created arXiv nearly 35 years ago as a digital repository where researchers could share their findings before peer review. Today, the platform hosts more than 2.6 million papers, receives 20,000 new submissions monthly, and serves 5 million active users, Wired writes in a profile of the platform.

"Just when I thought I was out, they pull me back in!" Ginsparg quotes from The Godfather, reflecting his inability to fully hand over the platform despite numerous attempts. If arXiv stopped functioning, scientists worldwide would face immediate disruption. "Everybody in math and physics uses it," says Scott Aaronson, a computer scientist at the University of Texas at Austin. "I scan it every night."

ArXiv revolutionized academic publishing, previously dominated by for-profit giants like Elsevier and Springer, by allowing instant and free access to research. Many significant discoveries, including the "transformers" paper that launched the modern AI boom, first appeared on the platform. Initially a collection of shell scripts on Ginsparg's NeXT machine in 1991, arXiv followed him from Los Alamos National Laboratory to Cornell, where it found an institutional home despite administrative challenges. Recent funding from the Simons Foundation has enabled a hiring spree and long-needed technical updates.

China's ambitious AI infrastructure push has resulted in hundreds of idle data centers with local media reporting up to 80% of newly built computing resources remaining unused. The country announced over 500 data center projects during 2023-2024, with at least 150 completed facilities now struggling to secure customers in a rapidly changing market.

The rise of DeepSeek's open-source reasoning model R1, which matches ChatGPT o1's performance at a fraction of the cost, has fundamentally altered hardware demand. Computing needs now prioritize low-latency infrastructure for real-time reasoning rather than facilities optimized for large-scale training workloads.

Technical misalignment compounds the problem, as many centers were constructed by companies with little AI expertise, MIT Technology Review reports. The facilities, often built in remote regions to capitalize on cheaper electricity and land, now face obsolescence as AI companies require proximity to tech hubs to minimize transmission delays. GPU rental prices have collapsed, with eight-GPU Nvidia H100 server clusters now leasing for 75,000 yuan ($10,333) monthly, down from peaks of 180,000 yuan, making operations financially unsustainable for many data center operators.

An anonymous reader quotes a report from TechCrunch: It's only been a day since ChatGPT's new AI image generator went live, and social media feeds are already flooded with AI-generated memes in the style of Studio Ghibli, the cult-favorite Japanese animation studio behind blockbuster films such as "My Neighbor Totoro" and "Spirited Away." In the last 24 hours, we've seen AI-generated images representing Studio Ghibli versions of Elon Musk, "The Lord of the Rings", and President Donald Trump. OpenAI CEO Sam Altman even seems to have made his new profile picture a Studio Ghibli-style image, presumably made with GPT-4o's native image generator. Users seem to be uploading existing images and pictures into ChatGPT and asking the chatbot to re-create it in new styles.

OpenAI's latest update comes on the heels of Google's release of a similar AI image feature in its Gemini Flash model, which also sparked a viral moment earlier in March when people used it to remove watermarks from images. OpenAI's and Google's latest tools make it easier than ever to re-create the styles of copyrighted works -- simply by typing a text prompt. Together, these new AI image features seem to reignite concerns at the core of several lawsuits against generative AI model developers. If these companies are training on copyrighted works, are they violating copyright law?

According to Evan Brown, an intellectual property lawyer at the law firm Neal & McDevitt, products like GPT-4o's native image generator operate in a legal gray area today. Style is not explicitly protected by copyright, according to Brown, meaning OpenAI does not appear to be breaking the law simply by generating images that look like Studio Ghibli movies. However, Brown says it's plausible that OpenAI achieved this likeness by training its model on millions of frames from Ghibli's films. Even if that was the case, several courts are still deciding whether training AI models on copyrighted works falls under fair use protections. "I think this raises the same question that we've been asking ourselves for a couple years now," said Brown in an interview. "What are the copyright infringement implications of going out, crawling the web, and copying into these databases?"