Google is continuing its quest to get more people to use Gemini, and it's doing that by giving away even more AI computing. From a report: Today, Google is releasing a raft of improvements for the Gemini 2.0 models, and as part of that upgrade, some of the AI's most advanced features are now available to free users. You'll be able to use the improved Deep Research to get in-depth information on a topic, and Google's newest reasoning model can peruse your search history to improve its understanding of you as a person.

[...] With the aim of making Gemini more personal to you, Google is also plugging Flash Thinking Experimental into a new source of data: your search history. Google stresses that you have to opt in to this feature, and it can be disabled at any time. Gemini will even display a banner to remind you it's connected to your search history so you don't forget.

OpenAI has warned the U.S. government that restricting AI models from learning from copyrighted material would threaten America's technological leadership against China, according to a proposal submitted [PDF] to the Office of Science and Technology Policy for the AI Action Plan.

In its March 13 document, OpenAI argues its AI training aligns with fair use doctrine, saying its models don't replicate works but extract "patterns, linguistic structures, and contextual insights" without harming commercial value of original content. "If the PRC's developers have unfettered access to data and American companies are left without fair use access, the race for AI is effectively over. America loses, as does the success of democratic AI," OpenAI stated.

The Microsoft-backed startup criticized European and UK approaches that allow copyright holders to opt out of AI training, claiming these restrictions hinder innovation, particularly for smaller companies with limited resources. The proposal comes as China-based DeepSeek recently released an AI model with capabilities comparable to American systems despite development at a fraction of the cost.

Microsoft is preparing to launch an AI-powered Copilot for Gaming soon that will guide Xbox players through games and act as an assistant to download and launch games. From a report: Copilot for Gaming, as Microsoft is branding it, will be available through the Xbox mobile app initially and is designed to work on a second screen as a companion or assistant.

Microsoft is positioning Copilot for Gaming as a sidekick of sorts, one that will accompany you through games, offering up tips and guides and useful information about a game world. During a press briefing, Sonali Yadav, product manager for gaming AI, demonstrated several scenarios for what Copilot for Gaming could be used for. One involved a concept demo of Copilot assisting an Overwatch 2 player by coaching them on the mistakes they made when trying to push without teammates.

An anonymous reader quotes a report from TechCrunch: Anthropic's CEO Dario Amodei is worried that spies, likely from China, are getting their hands on costly "algorithmic secrets" from the U.S.'s top AI companies -- and he wants the U.S. government to step in. Speaking at a Council on Foreign Relations event on Monday, Amodei said that China is known for its "large-scale industrial espionage" and that AI companies like Anthropic are almost certainly being targeted. "Many of these algorithmic secrets, there are $100 million secrets that are a few lines of code," he said. "And, you know, I'm sure that there are folks trying to steal them, and they may be succeeding."

More help from the U.S. government to defend against this risk is "very important," Amodei added, without specifying exactly what kind of help would be required. Anthropic declined to comment to TechCrunch on the remarks specifically but referred to Anthropic's recommendations to the White House's Office of Science and Technology Policy (OSTP) earlier this month. In the submission, Anthropic argues that the federal government should partner with AI industry leaders to beef up security at frontier AI labs, including by working with U.S. intelligence agencies and their allies.

Netflix has deployed AI upscaling on the 1987-1993 sitcom "A Different World," resulting in significant visual artifacts documented by technology commentator Scott Hanselman. The AI processing, intended to enhance the original 360p footage for modern displays, has generated distortions resembling "lava lamp effects" on actors' bodies, improperly rendered mouths, and misshapen background objects including posters and tennis rackets. This marks Netflix's second controversial AI implementation in recent months, following December's AI-powered dubbing and mouth morphing on "La Palma."

Google says its new open-source AI model, Gemma 3, achieves nearly the same performance as DeepSeek AI's R1 while using just one Nvidia H100 GPU, compared to an estimated 32 for R1. ZDNet reports: Using "Elo" scores, a common measurement system used to rank chess and athletes, Google claims Gemma 3 comes within 98% of the score of DeepSeek's R1, 1338 versus 1363 for R1. That means R1 is superior to Gemma 3. However, based on Google's estimate, the search giant claims that it would take 32 of Nvidia's mainstream "H100" GPU chips to achieve R1's score, whereas Gemma 3 uses only one H100 GPU.

Google's balance of compute and Elo score is a "sweet spot," the company claims. In a blog post, Google bills the new program as "the most capable model you can run on a single GPU or TPU," referring to the company's custom AI chip, the "tensor processing unit." "Gemma 3 delivers state-of-the-art performance for its size, outperforming Llama-405B, DeepSeek-V3, and o3-mini in preliminary human preference evaluations on LMArena's leaderboard," the blog post relates, referring to the Elo scores. "This helps you to create engaging user experiences that can fit on a single GPU or TPU host."

Google's model also tops Meta's Llama 3's Elo score, which it estimates would require 16 GPUs. (Note that the numbers of H100 chips used by the competition are Google's estimate; DeepSeek AI has only disclosed an example of using 1,814 of Nvidia's less-powerful H800 GPUs to server answers with R1.) More detailed information is provided in a developer blog post on HuggingFace, where the Gemma 3 repository is offered.

An anonymous reader quotes a report from Ars Technica: On Wednesday, Google DeepMind announced two new AI models designed to control robots: Gemini Robotics and Gemini Robotics-ER. The company claims these models will help robots of many shapes and sizes understand and interact with the physical world more effectively and delicately than previous systems, paving the way for applications such as humanoid robot assistants. [...] Google's new models build upon its Gemini 2.0 large language model foundation, adding capabilities specifically for robotic applications. Gemini Robotics includes what Google calls "vision-language-action" (VLA) abilities, allowing it to process visual information, understand language commands, and generate physical movements. By contrast, Gemini Robotics-ER focuses on "embodied reasoning" with enhanced spatial understanding, letting roboticists connect it to their existing robot control systems. For example, with Gemini Robotics, you can ask a robot to "pick up the banana and put it in the basket," and it will use a camera view of the scene to recognize the banana, guiding a robotic arm to perform the action successfully. Or you might say, "fold an origami fox," and it will use its knowledge of origami and how to fold paper carefully to perform the task.

In 2023, we covered Google's RT-2, which represented a notable step toward more generalized robotic capabilities by using Internet data to help robots understand language commands and adapt to new scenarios, then doubling performance on unseen tasks compared to its predecessor. Two years later, Gemini Robotics appears to have made another substantial leap forward, not just in understanding what to do but in executing complex physical manipulations that RT-2 explicitly couldn't handle. While RT-2 was limited to repurposing physical movements it had already practiced, Gemini Robotics reportedly demonstrates significantly enhanced dexterity that enables previously impossible tasks like origami folding and packing snacks into Zip-loc bags. This shift from robots that just understand commands to robots that can perform delicate physical tasks suggests DeepMind may have started solving one of robotics' biggest challenges: getting robots to turn their "knowledge" into careful, precise movements in the real world. DeepMind claims Gemini Robotics "more than doubles performance on a comprehensive generalization benchmark compared to other state-of-the-art vision-language-action models."

Google is advancing this effort through a partnership with Apptronik to develop next-generation humanoid robots powered by Gemini 2.0. Availability timelines or specific commercial applications for the new AI models were not made available.

Schools across the United States are increasingly using artificial intelligence to monitor students' online activities, raising significant privacy concerns after Vancouver Public Schools inadvertently released nearly 3,500 unredacted, sensitive student documents to reporters.

The surveillance software, developed by companies like Gaggle Safety Management, scans school-issued devices 24/7 for signs of bullying, self-harm, or violence, alerting staff when potential issues are detected. Approximately 1,500 school districts nationwide use Gaggle's technology to track six million students, with Vancouver schools paying $328,036 for three years of service.

While school officials maintain the technology has helped counselors intervene with at-risk students, documents revealed LGBTQ+ students were potentially outed to administrators through the monitoring.

IBM CEO Arvind Krishna has publicly disagreed with Anthropic CEO Dario Amodei's prediction that AI will write 90% of code within 3-6 months, estimating instead that only "20-30% of code could get written by AI."

"Are there some really simple use cases? Yes, but there's an equally complicated number of ones where it's going to be zero," Krishna said during an onstage interview at SXSW. He argued AI will boost programmer productivity rather than eliminate jobs. "If you can do 30% more code with the same number of people, are you going to get more code written or less?" he asked. "History has shown that the most productive company gains market share, and then you can produce more products."

Morgan Stanley has reduced its iPhone shipment forecasts after Apple confirmed the delay of a more advanced Siri personal assistant, dampening prospects for accelerating phone upgrades. The investment bank now predicts 230 million iPhone shipments in 2025 (flat year-over-year) and 243 million in 2026 (up 6%), down from previous estimates.

An upgraded Siri was the most sought-after Apple Intelligence feature among prospective buyers, according to the bank's survey data. "Access to Advanced AI Features" appeared as a top-five driver of smartphone upgrades for the first time, with about 50% of iPhone owners who didn't upgrade to iPhone 16 citing the delayed Apple Intelligence rollout as affecting their decision. The firm also incorporated headwinds from China tariffs in its assessment, noting Apple is unlikely to fully offset these costs without broader exemptions.

Amazon, Alphabet's Google and Meta Platforms on Wednesday said they support efforts to at least triple nuclear energy worldwide by 2050. From a report: The tech companies signed a pledge first adopted in December 2023 by more than 20 countries, including the U.S., at the U.N. Climate Change Conference. Financial institutions including Bank of America, Goldman Sachs and Morgan Stanley backed the pledge last year.

The pledge is nonbinding, but highlights the growing support for expanding nuclear power among leading industries, finance and governments. Amazon, Google and Meta are increasingly important drivers of energy demand in the U.S. as they build out AI centers. The tech sector is turning to nuclear power after concluding that renewables alone won't provide enough reliable power for their energy needs. Microsoft and Apple did not sign the statement.

An anonymous reader quotes a report from Ars Technica: On Tuesday, OpenAI unveiled a new "Responses API" designed to help software developers create AI agents that can perform tasks independently using the company's AI models. The Responses API will eventually replace the current Assistants API, which OpenAI plans to retire in the first half of 2026. With the new offering, users can develop custom AI agents that scan company files with a file search utility that rapidly checks company databases (with OpenAI promising not to train its models on these files) and navigate websites -- similar to functions available through OpenAI's Operator agent, whose underlying Computer-Using Agent (CUA) model developers can also access to enable automation of tasks like data entry and other operations.

However, OpenAI acknowledges that its CUA model is not yet reliable for automating tasks on operating systems and can make unintended mistakes. The company describes the new API as an early iteration that it will continue to improve over time. Developers using the Responses API can access the same models that power ChatGPT Search: GPT-4o search and GPT-4o mini search. These models can browse the web to answer questions and cite sources in their responses. That's notable because OpenAI says the added web search ability dramatically improves the factual accuracy of its AI models. On OpenAI's SimpleQA benchmark, which aims to measure confabulation rate, GPT-4o search scored 90 percent, while GPT-4o mini search achieved 88 percent -- both substantially outperforming the larger GPT-4.5 model without search, which scored 63 percent.

Despite these improvements, the technology still has significant limitations. Aside from issues with CUA properly navigating websites, the improved search capability doesn't completely solve the problem of AI confabulations, with GPT-4o search still making factual mistakes 10 percent of the time. Alongside the Responses API, OpenAI released the open source Agents SDK, providing developers free tools to integrate models with internal systems, implement safeguards, and monitor agent activities. This toolkit follows OpenAI's earlier release of Swarm, a framework for orchestrating multiple agents.

An anonymous reader quotes a report from TechCrunch: There's a power crunch looming as AI and cloud providers ramp up data center construction. But a new report suggests that a solution lies beneath their foundations. Advanced geothermal power could supply nearly two-thirds of new data center demand by 2030, according to an analysis by the Rhodium Group. The additions would quadruple the amount of geothermal power capacity in the U.S. -- from 4 gigawatts to about 16 gigawatts -- while costing the same or less than what data center operators pay today. In the western U.S., where geothermal resources are more plentiful, the technology could provide 100% of new data center demand. Phoenix, for example, could add 3.8 gigawatts of data center capacity without building a single new conventional power plant.

Geothermal resources have enormous potential to provide consistent power. Historically, geothermal power plants have been limited to places where Earth's heat seeps close to the surface. But advanced geothermal techniques could unlock 90 gigawatts of clean power in the U.S. alone, according to the U.S. Department of Energy. [...] Because geothermal power has very low running costs, its price is competitive with data centers' energy costs today, the Rhodium report said. When data centers are sited similarly to how they are today, a process that typically takes into account proximity to fiber optics and major metro areas, geothermal power costs just over $75 per megawatt hour. But when developers account for geothermal potential in their siting, the costs drop significantly, down to around $50 per megawatt hour.

The report assumes that new generating capacity would be "behind the meter," which is what experts call power plants that are hooked up directly to a customer, bypassing the grid. Wait times for new power plants to connect to the grid can stretch on for years. As a result, behind the meter arrangements have become more appealing for data center operators who are scrambling to build new capacity.

An anonymous reader quotes a report from the Washington Post: An Amazon-backed self-driving taxi failed to meet vehicle safety standardsbecause it lacks basics like a brake pedal and rearview mirrors, according to a report by federal inspectors that raises questions about the industry's plans to put a new generation of autonomous vehicles on U.S. roads. The National Highway Traffic Safety Administration report was produced as part of a review last year of an unusual vehicle by Amazon subsidiary Zoox that, without a steering wheel or other human controls, has no way for a person to drive. Zoox has asserted that the vehicle's technology, backed by artificial intelligence, complies with the agency's standards. But the NHTSA report documents "apparent noncompliances" with eight safety rules.

The contents of the previously undisclosed review suggest that rules written when autonomous vehicles were the stuff of futuristic musings pose a legal impediment to the industry's ambitions, even as plans for self-driving vehicles accelerate. Zoox has a small pilot fleet on the roads in California and Nevada and says it has completed thousands of trips carrying employees and guests. It is finalizing plans to launch public service in Las Vegas this year. [...] By documenting the apparent noncompliances of the Zoox, NHTSA could be setting the table for a recall, under agency procedures. It is unclear whether the Trump administration will attempt a change in course. The agency said it remains in discussion with Zoox and was "considering all options."

Zoox could have sought an exemption from the safety rules, but NHTSA has never granted one to an autonomous passenger vehicle. Instead, the company self-certified that its vehicle complied with the rules as it raced to be the first company to put a purpose-built robotaxi on the road and claim a share of what could become a multi trillion-dollar market. Zoox's vehicle bears little resemblance to a normal car. The plan is for customers to summon a ride using an app, much like a regular ride-hailing vehicle, getting in through bus-like doors and sitting facing one another. The vehicle navigates itself, seeing the world through a set of cameras and laser-based sensors. It largely relies on its own abilities to drive, but the company says teams of remote operators can seize control to help handle unusual situations. Passengers can call for assistance via a touch screen and open the doors using an emergency release. "We will continue to support transportation technology innovation while maintaining the safety of America's roads," NHTSA said in a statement.

"Our recent discussions with NHTSA are about mirrors, windshield wipers, a defroster, and a foot-activated brake pedal -- equipment that makes sense for vehicles with human drivers, but not for the Zoox purpose-built robotaxi," Zoox said in a statement. "Our purpose-built design means that the robotaxi can never be operated by a human driver, and our AI driver doesn't rely on this equipment to view the world."

Spain's government has approved legislation imposing substantial fines of up to 35 million euros or 7% of global turnover on companies that fail to clearly label AI-generated content. Reuters reports: The bill adopts guidelines from the European Union's landmark AI Act imposing strict transparency obligations on AI systems deemed to be high-risk, Digital Transformation Minister Oscar Lopez told reporters. "AI is a very powerful tool that can be used to improve our lives ... or to spread misinformation and attack democracy," he said. Spain is among the first EU countries to implement the bloc's rules, considered more comprehensive than the United States' system that largely relies on voluntary compliance and a patchwork of state regulations. Lopez added that everyone was susceptible to "deepfake" attacks - a term for videos, photographs or audios that have been edited or generated through AI algorithms but are presented as real. [...]

The bill also bans other practices, such as the use of subliminal techniques - sounds and images that are imperceptible - to manipulate vulnerable groups. Lopez cited chatbots inciting people with addictions to gamble or toys encouraging children to perform dangerous challenges as examples. It would also prevent organizations from classifying people through their biometric data using AI, rating them based on their behavior or personal traits to grant them access to benefits or assess their risk of committing a crime. However, authorities would still be allowed to use real-time biometric surveillance in public spaces for national security reasons.

Businesses, governments, and researchers continue to struggle with extracting usable data from PDF files, despite AI advances. These digital documents contain valuable information for everything from scientific research to government records, but their rigid formats make extraction difficult.

"PDFs are a creature of a time when print layout was a big influence on publishing software," Derek Willis, a lecturer in Data and Computational Journalism at the University of Maryland, told ArsTechnica. This print-oriented design means many PDFs are essentially "pictures of information" requiring optical character recognition (OCR) technology.

Traditional OCR systems have existed since the 1970s but struggle with complex layouts and poor-quality scans. New AI language models from companies like Google and Mistral now attempt to process documents more holistically, with varying success. "Right now, the clear leader is Google's Gemini 2.0 Flash Pro Experimental," Willis notes, while Mistral's recent OCR solution "performed poorly" in tests.

An anonymous reader quotes a report from the BBC: A former senior Facebook executive has told the BBC how the social media giant worked "hand in glove" with the Chinese government on potential ways of allowing Beijing to censor and control content in China. Sarah Wynn-Williams -- a former global public policy director -- says in return for gaining access to the Chinese market of hundreds of millions of users, Facebook's founder, Mark Zuckerberg, considered agreeing to hiding posts that were going viral, until they could be checked by the Chinese authorities.

Ms Williams -- who makes the claims in a new book -- has also filed a whistleblower complaint with the US markets regulator, the Securities and Exchange Commission (SEC), alleging Meta misled investors. The BBC has reviewed the complaint. Facebook's parent company Meta, says Ms Wynn-Williams had her employment terminated in 2017 "for poor performance." It is "no secret we were once interested" in operating services in China, it adds. "We ultimately opted not to go through with the ideas we'd explored." Meta referred us to Mark Zuckerberg's comments from 2019, when he said: "We could never come to agreement on what it would take for us to operate there, and they [China] never let us in."

Facebook also used algorithms to spot when young teenagers were feeling vulnerable as part of research aimed at advertisers, Ms Wynn-Williams alleges. A former New Zealand diplomat, she joined Facebook in 2011, and says she watched the company grow from "a front row seat." Now she wants to show some of the "decision-making and moral compromises" that she says went on when she was there. It is a critical moment, she adds, as "many of the people I worked with... are going to be central" to the introduction of AI. In her memoir, Careless People, Ms Wynn-Williams paints a picture of what she alleges working on Facebook's senior team was like.

Dustin Moskovitz, CEO and co-founder of Asana, is stepping down and will transition to the role of Chair once a new CEO is appointed. "As I reflect on my journey since co-founding Asana nearly 17 years ago, I'm filled with immense gratitude," Moskovitz said in a statement. "Creating and leading Asana has been more than just building a company -- it's been a profound privilege to work alongside some of the most talented minds in the industry." Asana's stock price was down more than 25% following the news. CNBC reports: Asana said fourth-quarter sales rose 10% year over year to $188.3 million, which was in line with analysts' estimates. The company said its adjusted earnings per share was breakeven, ahead of analysts' estimates of a loss of one cent per share. Asana said it expects fiscal first-quarter revenue of $184.5 million to $186.5 million, trailing analysts' expectations of $191 million.

Moskovitz owns about 53% of the company's outstanding shares, between his Class A and Class B holdings. He has substantially increased his ownership since the company's public market debut in 2020. [...] Moskovitz said in his Monday retirement statement that he plans to focus more on his philanthropic endeavors, such as Good Ventures and Open Philanthropy, which cites "potential risks from advanced AI" among its various focus areas. In 2010, Moskovitz signed the Giving Pledge, a promise by some of the wealthiest people in the world to donate most of their fortunes to charity.

Sony is working on a prototype AI-powered version of at least one its PlayStation game characters. The Verge: An anonymous tipster has shared an internal video from Sony's PlayStation group with The Verge that demonstrates an AI-powered version of Aloy from Horizon Forbidden West. The video is narrated by Sharwin Raghoebardajal, a director of software engineering at Sony Interactive Entertainment who works on video game technology, AI, computer vision, and face technology for Sony's PlayStation Studios Advanced Technology Group.

Raghoebardajal demonstrates an AI-powered version of Aloy that can hold a conversation with a player through voice prompts during gameplay. Aloy can be seen responding to queries with an AI-powered synthesized voice and facial movements, both in a demo setting and within the full Horizon Forbidden West game. Raghoebardajal makes it clear this is just a prototype that has been developed alongside Guerrilla Games to demonstrate the technology internally at Sony.

Apple has pulled an iPhone 16 ad featuring a "more personal Siri" after delaying Apple Intelligence features originally planned for iOS 18. The now-private video starred actor Isabella Ramsey demonstrating contextual awareness capabilities. Apple stated the delayed features, including personal context and improved app integration, will release "in the coming year," while Bloomberg reports some Apple AI staff believe these features might be completely rebuilt.