The Register highlights concerns raised at a recent UK parliamentary committee regarding AI companies' exploitation of copyrighted content without permission or payment. From the report: The Culture, Media and Sport Committee and Science, Innovation and Technology Committee asked composer Max Richter how he would know if "bad-faith actors" were using his material to train AI models. "There's really nothing I can do," he told MPs. "There are a couple of music AI models, and it's perfectly easy to make them generate a piece of music that sounds uncannily like me. That wouldn't be possible unless it had hoovered up my stuff without asking me and without paying for it. That's happening on a huge scale. It's obviously happened to basically every artist whose work is on the internet."

Richter, whose work has been used in a number of major film and television scores, said the consequences for creative musicians and composers would be dire. "You're going to get a vanilla-ization of music culture as automated material starts to edge out human creators, and you're also going to get an impoverishing of human creators," he said. "It's worth remembering that the music business in the UK is a real success story. It's 7.6 billion-pound income last year, with over 200,000 people employed. That is a big impact. If we allow the erosion of copyright, which is really how value is created in the music sector, then we're going to be in a position where there won't be artists in the future."

Speaking earlier, former Google staffer James Smith said much of the damage from text and data mining had likely already been done. "The original sin, if you like, has happened," said Smith, co-founder and chief executive of Human Native AI. "The question is, how do we move forward? I would like to see the government put more effort into supporting licensing as a viable alternative monetization model for the internet in the age of these new AI agents."

Matt Rogerson, director of global public policy and platform strategy at the Financial Times, said: "We can only deal with what we see in front of us and [that is] people taking our content, using it for the training, using it in substitutional ways. So from our perspective, we'll prosecute the same argument in every country where we operate, where we see our content being stolen." The risk, if the situation continued, was a hollowing out of creative and information industries, he said. [...] "The problem is we can't see who's stolen our content. We're just at this stage where these very large companies, which usually make margins of 90 percent, might have to take some smaller margin, and that's clearly going to be upsetting for their investors. But that doesn't mean they shouldn't. It's just a question of right and wrong and where we pitch this debate. Unfortunately, the government has pitched it in thinking that you can't reduce the margin of these big tech companies; otherwise, they won't build a datacenter."

Software companies are under pressure to invest in new AI capabilities without denting profits. One increasingly popular strategy to keep costs low is to shift hiring outside the US. From a report:Â Salesforce and Workday are simultaneously cutting jobs and highlighting the cost savings from adding workers internationally. "Do we need to hire everybody in San Francisco?" Salesforce Chief Operating Officer Brian Millham said at an event hosted by Barclays in December. "Or can we think about other locations that are cheaper where we can get really incredible labor like India and Mexico City."

US-based employees at Salesforce dropped to 51% from 58% in the four years ending in January 2024. In early 2023, it announced a reduction of roughly 8,000 jobs. Earlier this week, Bloomberg reported that the San Francisco-based software company would cut more than 1,000 positions in large part to make room for new AI-focused hiring. [...] Human resources software maker Workday, based in Pleasanton, California, announced Wednesday that it would eliminate about 1,750 jobs. Last year, Chief Executive Officer Carl Eschenbach emphasized a new focus on expanding margins, saying hiring more in countries like Costa Rica would help in this effort.Â

An anonymous reader shares a report: Users are now receiving notifications regarding their Microsoft 365 subscriptions and must take action if they wish to avoid Copilot and its extra charges.

The email from Microsoft warns that the cost of a 365 Personal Subscription will jump, however, there is no need to worry -- Microsoft knows what's best and will increase your payment in return for all those AI-powered Copilot services it knows you want.

We noted the upcoming increases last month and how users could turn off the generative AI assistant. At the time, Microsoft said users would be able to switch to plans without Copilot. However, unless a user takes action, the price they pay for their "Current Subscription" will increase, and AI-powered delights will be added to their plan.

Most Britons support strict controls on AI systems that could surpass human capabilities, according to a YouGov poll, highlighting a growing divide between public opinion and government policy. The survey of 2,344 adults found 87% back laws requiring AI developers to prove their systems are safe before release, while 60% favor banning the development of "smarter-than-human" AI models. Only 9% trust tech CEOs to act in the public interest on AI regulation.

An anonymous reader shares a report: Google has edited Gemini's AI response in a Super Bowl commercial to remove an incorrect statistic about cheese. The ad, which shows a small business owner using Gemini to write a website description about Gouda, no longer says the variety makes up "50 to 60 percent of the world's cheese consumption."

In the edited YouTube video, Gemini's response now skips over the specifics and says Gouda is "one of the most popular cheeses in the world." Google Cloud apps president Jerry Dischler initially defended the response, saying on X it's "grounded in the Web" and "not a hallucination."

An anonymous reader shares a report: Newly unsealed emails allegedly provide the "most damning evidence" yet against Meta in a copyright case raised by book authors alleging that Meta illegally trained its AI models on pirated books.

Last month, Meta admitted to torrenting a controversial large dataset known as LibGen, which includes tens of millions of pirated books. But details around the torrenting were murky until yesterday, when Meta's unredacted emails were made public for the first time. The new evidence showed that Meta torrented "at least 81.7 terabytes of data across multiple shadow libraries through the site Anna's Archive, including at least 35.7 terabytes of data from Z-Library and LibGen," the authors' court filing said. And "Meta also previously torrented 80.6 terabytes of data from LibGen."

"The magnitude of Meta's unlawful torrenting scheme is astonishing," the authors' filing alleged, insisting that "vastly smaller acts of data piracy -- just .008 percent of the amount of copyrighted works Meta pirated -- have resulted in Judges referring the conduct to the US Attorneys' office for criminal investigation."

Google has begun internal testing of a new "AI Mode" for its search engine, powered by its Gemini 2.0 AI model, according to a company email seen by technology news site 9to5Google. The feature, which appears alongside existing filters like Images and News, creates a chatbot-like interface for handling complex queries and follow-up questions.

It generates detailed responses with web links displayed in a card format on the right side of the screen. AI Mode targets exploratory searches such as product comparisons and how-to questions that traditional search results may not effectively address. The company is currently testing the feature with U.S.-based employees, with CEO Sundar Pichai indicating a possible launch this year.

OpenAI is considering building large-scale data center campuses in 16 states as part of the Stargate initiative, a $100 billion joint venture with Oracle and SoftBank aimed at strengthening U.S. AI infrastructure. CNBC reports: On a call with reporters, OpenAI executives said it sent out a request for proposals (RFP) to states less than a week ago. "A project of this size represents an opportunity to both re-industrialize parts of the country, but also to help revitalize where the American Dream is going to go in this intelligence age," Chris Lehane, OpenAI's vice president of global policy, said on the call.

[...] The 16 states OpenAI is currently considering are Arizona, California, Florida, Louisiana, Maryland, Nevada, New York, Ohio, Oregon, Pennsylvania, Utah, Texas, Virginia, Washington, Wisconsin and West Virginia. Construction on the data centers in Abilene, Texas, is currently underway. In the coming months, OpenAI will begin announcing additional construction sites "on a rolling basis," according to the presentation. Each campus is designed to support about one gigawatt of power or more.

OpenAI is aiming to build five to 10 data center campuses total, although executives said that number could rise or fall depending on how much power each campus offers. The company also said it expects each data center campus to generate thousands of jobs. That includes construction and operational roles. But Stargate's first data center in Abilene could lead to the creation of just 57 jobs, according to recent reports.

An anonymous reader quotes a report from TechCrunch: Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI Institute), earlier known as The Boston Dynamics AI Institute. Both organizations were founded by Marc Raibert, a former MIT professor who served as Boston Dynamics' CEO for 30 years. The Institute, founded in 2022, allows Raibert to continue the research that served as the foundation for Boston Dynamics.

Both have ties to Hyundai. The Korean carmaker acquired Boston Dynamics back in 2021; Hyundai also funds the Institute, giving Raibert free rein to explore more experimental and bleeding-edge technologies than is possible in a commercial company. The Institute mirrors Toyota's creation of TRI, or Toyota Research Institute, which announced its own partnership with Boston Dynamics in October, focused on the use of large behavior models. (LBMs). The twin partnerships are designed to improve the way Boston Dynamics' electric Atlas humanoid learns new tasks. The Robotics & AI Institute deal is specifically focused on reinforcement learning, a method that operates through trial and error, similar to the way both humans and animals learn. Reinforcement learning has traditionally been extremely time-intensive, though the creation of effective simulation has allowed many processes to be carried out at once in a virtual setting.

The Boston Dynamics/RAI Institute union kicked off earlier this month in Massachusetts. It's the latest in a number of collaborations between the pair, including a joint effort to develop a reinforcement learning research kit for the quadrupedal Spot robot by Boston Dynamics (which is its familiar robot "dog"). The new work focuses on both transferring simulation-based learning to real-world settings and improving how the company's humanoid Atlas moves through and interacts with physical environments. Pertaining to the latter, Boston Dynamics points to "dynamic running and full-body manipulation of heavy objects." Both are examples of actions that require synchronization of the legs and arms. The humanoid's bipedal form factor presents a number of unique challenges -- and opportunities -- when compared with Spot. Every activity is also subject to a broad range of forces, including balance, force, resistance, and motion.

An anonymous reader quotes a report from Ars Technica: On Tuesday, Hugging Face researchers released an open source AI research agent called "Open Deep Research," created by an in-house team as a challenge 24 hours after the launch of OpenAI's Deep Research feature, which can autonomously browse the web and create research reports. The project seeks to match Deep Research's performance while making the technology freely available to developers. "While powerful LLMs are now freely available in open-source, OpenAI didn't disclose much about the agentic framework underlying Deep Research," writes Hugging Face on its announcement page. "So we decided to embark on a 24-hour mission to reproduce their results and open-source the needed framework along the way!"

Similar to both OpenAI's Deep Research and Google's implementation of its own "Deep Research" using Gemini (first introduced in December -- before OpenAI), Hugging Face's solution adds an "agent" framework to an existing AI model to allow it to perform multi-step tasks, such as collecting information and building the report as it goes along that it presents to the user at the end. The open source clone is already racking up comparable benchmark results. After only a day's work, Hugging Face's Open Deep Research has reached 55.15 percent accuracy on the General AI Assistants (GAIA) benchmark, which tests an AI model's ability to gather and synthesize information from multiple sources. OpenAI's Deep Research scored 67.36 percent accuracy on the same benchmark with a single-pass response (OpenAI's score went up to 72.57 percent when 64 responses were combined using a consensus mechanism).

As Hugging Face points out in its post, GAIA includes complex multi-step questions such as this one: "Which of the fruits shown in the 2008 painting 'Embroidery from Uzbekistan' were served as part of the October 1949 breakfast menu for the ocean liner that was later used as a floating prop for the film 'The Last Voyage'? Give the items as a comma-separated list, ordering them in clockwise order based on their arrangement in the painting starting from the 12 o'clock position. Use the plural form of each fruit." To correctly answer that type of question, the AI agent must seek out multiple disparate sources and assemble them into a coherent answer. Many of the questions in GAIA represent no easy task, even for a human, so they test agentic AI's mettle quite well. Open Deep Research "builds on OpenAI's large language models (such as GPT-4o) or simulated reasoning models (such as o1 and o3-mini) through an API," notes Ars. "But it can also be adapted to open-weights AI models. The novel part here is the agentic structure that holds it all together and allows an AI language model to autonomously complete a research task."

The code has been made public on GitHub.

DeepSeek's AI app will highly likely face a US consumer ban after topping download charts on Apple's App Store and Google Play, according to analysts at US investment bank Jefferies. The US federal government, Navy and Texas have already banned the app, and analysts expect broader restrictions using legislation similar to that targeting TikTok.

While consumer access may be blocked, US developers could still be allowed to self-host DeepSeek's model to eliminate security risks, the analysts added. Even if completely banned, DeepSeek's impact on pushing down AI costs will persist as US companies work to replicate its technology, Jefferies said in a report this week reviewed by Slashdot.

The app's pricing advantage remains significant, with OpenAI's latest o3-mini model still costing 100% more than DeepSeek's R1 despite being 63% cheaper than o1-mini. The potential ban comes amid broader US-China tech tensions. While restrictions on H20 chips appear unlikely given their limited training capabilities, analysts expect the Biden administration's AI diffusion policies to remain largely intact under Trump, with some quota increases possible for overseas markets based on their AI activity levels.

AI researchers at Stanford and the University of Washington were able to train an AI "reasoning" model for under $50 in cloud compute credits, according to a research paper. From a report: The model, known as s1, performs similarly to cutting-edge reasoning models, such as OpenAI's o1 and DeepSeek's R1, on tests measuring math and coding abilities. The s1 model is available on GitHub, along with the data and code used to train it.

The team behind s1 said they started with an off-the-shelf base model, then fine-tuned it through distillation, a process to extract the "reasoning" capabilities from another AI model by training on its answers. The researchers said s1 is distilled from one of Google's reasoning models, Gemini 2.0 Flash Thinking Experimental. Distillation is the same approach Berkeley researchers used to create an AI reasoning model for around $450 last month.

In 2022, writer and activist Cory Doctorow coined the term "enshittification" to describe the gradual deterioration of a service or product. The term's prevalence has increased to the point that it was the National Dictionary of Australia's word of the year last year. The editors at Ars Technica, having "covered a lot of things that have been enshittified," decided to highlight some of the worst examples the've come across. Here's a summary of each thing mentioned in their report: Smart TVs: Evolved into data-collecting billboards, prioritizing advertising and user tracking over user experience and privacy. Features like convenient input buttons are sacrificed for pushing ads and webOS apps. "This is all likely to get worse as TV companies target software, tracking, and ad sales as ways to monetize customers after their TV purchases -- even at the cost of customer convenience and privacy," writes Scharon Harding. "When budget brands like Roku are selling TV sets at a loss, you know something's up."

Google's Voice Assistant (e.g., Nest Hubs): Functionality has degraded over time, with previously working features becoming unreliable. Users report frequent misunderstandings and unresponsiveness. "I'm fine just saying it now: Google Assistant is worse now than it was soon after it started," writes Kevin Purdy. "Even if Google is turning its entire supertanker toward AI now, it's not clear why 'Start my morning routine,' 'Turn on the garage lights,' and 'Set an alarm for 8 pm' had to suffer."

Portable Document Format (PDF): While initially useful for cross-platform document sharing and preserving formatting, PDFs have become bloated and problematic. Copying text, especially from academic journals, is often garbled or impossible. "Apple, which had given the PDF a reprieve, has now killed its main selling point," writes John Timmer. "Because Apple has added OCR to the MacOS image display system, I can get more reliable results by screenshotting the PDF and then copying the text out of that. This is the true mark of its enshittification: I now wish the journals would just give me a giant PNG."

Televised Sports (specifically cycling and Formula 1): Streaming services have consolidated, leading to significantly increased costs for viewers. Previously affordable and comprehensive options have been replaced by expensive bundles across multiple platforms. "Formula 1 racing has largely gone behind paywalls, and viewership is down significantly over the last 15 years," writes Eric Berger. "Major US sports such as professional and college football had largely been exempt, but even that is now changing, with NFL games being shown on Peacock, Amazon Prime, and Netflix. None of this helps viewers. It enshittifies the experience for us in the name of corporate greed."

Google Search: AI overviews often bury relevant search results under lengthy, sometimes inaccurate AI-generated content. This makes finding specific information, especially primary source documents, more difficult. "Google, like many big tech companies, expects AI to revolutionize search and is seemingly intent on ignoring any criticism of that idea," writes Ashley Belanger.

Email AI Tools (e.g., Gemini in Gmail): Intrusive and difficult to disable, these tools offer questionable value due to their potential for factual inaccuracies. Users report being unable to fully opt-out. "Gmail won't take no for an answer," writes Dan Goodin. "It keeps asking me if I want to use Google's Gemini AI tool to summarize emails or draft responses. As the disclaimer at the bottom of the Gemini tool indicates, I can't count on the output being factual, so no, I definitely don't want it."

Windows: While many complaints about Windows 11 originated with Windows 10, the newer version continues the trend of unwanted features, forced updates, and telemetry data collection. Bugs and performance issues also plague the operating system. "... it sure is easy to resent Windows 11 these days, between the well-documented annoyances, the constant drumbeat of AI stuff (some of it gated to pricey new PCs), and a batch of weird bugs that mostly seem to be related to the under-the-hood overhauls in October's Windows 11 24H2 update," writes Andrew Cunningham. "That list includes broken updates for some users, inoperable scanners, and a few unplayable games. With every release, the list of things you need to do to get rid of and turn off the most annoying stuff gets a little longer."

Web Discourse: The rapid spread of memes, trends, and corporate jargon on social media has led to a homogenization of online communication, making it difficult to distinguish original content and creating a sense of constant noise. "[T]he enshittifcation of social media, particularly due to its speed and virality, has led to millions vying for their moment in the sun, and all I see is a constant glare that makes everything look indistinguishable," writes Jacob May. "No wonder some companies think AI is the future."

During the fourth quarter of 2024, AMD surpassed Intel in datacenter sales for the first time in history -- despite weaker-than-expected sales of its datacenter GPUs. Tom's Hardware reports: AMD's revenue in Q4 2024 totaled $7.658 billion, up 24% year-over-year. The company's gross margin hit 51%, whereas net income was $482 million. On the year basis, 2024 was AMD's best year ever as the company's revenue reached $25.8 billion, up 14% year-over-year. The company earned net income of $1.641 billion as its gross margin hit 49%. But while the company's annual results are impressive, there is something about Q4 results that AMD should be proud of.

Datacenter business was the company's primary source of earnings, with net revenue reaching record $3.86 billion in Q4, marking a 69% year-over-year (YoY) increase and a 9% quarter-over-quarter (QoQ) rise. Operating income also saw substantial improvement, surging 74% YoY to $1.16 billion. By contrast, Intel's datacenter and AI business unit posted $3.4 billion revenue, while its operating income reached $200 million. But while the quarter marked a milestone for AMD, market analysts expected AMD to sell more of its Instinct MI300-series GPUs for AI and HPC. You can view AMD's 2024 financial results here.

An anonymous reader quotes a report from the Associated Press: The website of the Chinese artificial intelligence company DeepSeek, whose chatbot became the most downloaded app in the United States, has computer code that could send some user login information to a Chinese state-owned telecommunications company that has been barred from operating in the United States, security researchers say. The web login page of DeepSeek's chatbot contains heavily obfuscated computer script that when deciphered shows connections to computer infrastructure owned by China Mobile, a state-owned telecommunications company. The code appears to be part of the account creation and user login process for DeepSeek.

In its privacy policy, DeepSeek acknowledged storing data on servers inside the People's Republic of China. But its chatbot appears more directly tied to the Chinese state than previously known through the link revealed by researchers to China Mobile. The U.S. has claimed there are close ties between China Mobile and the Chinese military as justification for placing limited sanctions on the company. [...] The code linking DeepSeek to one of China's leading mobile phone providers was first discovered by Feroot Security, a Canadian cybersecurity company, which shared its findings with The Associated Press. The AP took Feroot's findings to a second set of computer experts, who independently confirmed that China Mobile code is present. Neither Feroot nor the other researchers observed data transferred to China Mobile when testing logins in North America, but they could not rule out that data for some users was being transferred to the Chinese telecom.

The analysis only applies to the web version of DeepSeek. They did not analyze the mobile version, which remains one of the most downloaded pieces of software on both the Apple and the Google app stores. The U.S. Federal Communications Commission unanimously denied China Mobile authority to operate in the United States in 2019, citing "substantial" national security concerns about links between the company and the Chinese state. In 2021, the Biden administration also issued sanctions limiting the ability of Americans to invest in China Mobile after the Pentagon linked it to the Chinese military. "It's mindboggling that we are unknowingly allowing China to survey Americans and we're doing nothing about it," said Ivan Tsarynny, CEO of Feroot. "It's hard to believe that something like this was accidental. There are so many unusual things to this. You know that saying 'Where there's smoke, there's fire'? In this instance, there's a lot of smoke," Tsarynny said.

Further reading: Senator Hawley Proposes Jail Time For People Who Download DeepSeek

Google aims to release commercial quantum computing applications within five years, challenging Nvidia's prediction of a 20-year timeline. "We're optimistic that within five years we'll see real-world applications that are possible only on quantum computers," founder and lead of Google Quantum AI Hartmut Neven said in a statement. Reuters reports: Real-world applications Google has discussed are related to materials science - applications such as building superior batteries for electric cars - creating new drugs and potentially new energy alternatives. [...] Google has been working on its quantum computing program since 2012 and has designed and built several quantum chips. By using quantum processors, Google said it had managed to solve a computing problem in minutes that would take a classical computer more time than the history of the universe.

Google's quantum computing scientists announced another step on the path to real world applications within five years on Wednesday. In a paper published in the scientific journal Nature, the scientists said they had discovered a new approach to quantum simulation, which is a step on the path to achieving Google's objective.

Workday is cutting about 8.5% of its workforce, making it the latest technology company to begin 2025 with headcount reductions. From a report: The cuts will amount to about 1,750 workers, Chief Executive Officer Carl Eschenbach wrote in a note to employees Wednesday. "The environment we're operating in today demands a new approach, particularly given our size and scale," he wrote. Workday intends to hire in strategic areas such as AI, allow faster decision-making, and take on more people overseas, Eschenbach wrote. This will advance the company's "ongoing focus on durable growth," Workday said in a filing Wednesday. Shares of Workday jumped more than 5% on the news.

Since November, British telecom O2 has deployed an AI chatbot masquerading as a 78-year-old grandmother to waste scammers' time. The bot, named Daisy, engages fraudsters by discussing knitting patterns, recipes, and asking about tea preferences while feigning computer illiteracy. The Guardian has an update this week: In tests over several weeks, Daisy has kept individual scammers occupied for up to 40 minutes, with one case showing her being passed between four different callers. An excerpt from the story: "When a third scammer tries to get her to download the Google Play Store, she replies: 'Dear, did you say pastry? I'm not really on the right page.' She then complains that her screen has gone blank, saying it has 'gone black like the night sky'."

Google parent Alphabet plans to spend $75 billion on capital expenditures in 2025, up from $52.5 billion last year, as it races to compete with Microsoft and Meta in AI infrastructure. CNBC: On its earnings call, Alphabet said it expects $16 billion to $18 billion of those expenses to come in the first quarter. Overall, the expenditures will go toward "technical infrastructure, primarily for servers, followed by data centers and networking," finance chief Anat Ashkenazi said.

[...] Alphabet and its megacap tech rivals are rushing to build out their data centers with next-generation AI infrastructure, packed with Nvidia's graphics processing units, or GPUs. Last month, Meta said it plans to invest $60 billion to $65 billion this year as part of its AI push. Microsoft has committed to $80 billion in AI-related capital expenditures in its current fiscal year.

Meta's metaverse ambitions face a decisive year in 2025, with Chief Technology Officer Andrew Bosworth warning employees that the project could become either "a legendary misadventure" or prove visionary, Business Insider is reporting, citing an internal memo. Bosworth called for increased sales and user engagement for Meta's mixed reality products, noting the company plans to launch several AI-powered wearable devices.

The tech giant's Reality Labs division, which develops virtual and augmented reality products, reported record revenue of $1.08 billion in the fourth quarter but posted its largest-ever quarterly loss of $4.97 billion. Meta CEO Mark Zuckerberg told staff the company's AI-powered smart glasses, which sold over 1 million units in 2024, marked a "great start" but would not significantly impact the business. The Reality Labs unit has accumulated losses of approximately $60 billion since 2020.