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Plus, the payload references 'TeamPCP/LiteLLM method'

Yet another npm supply-chain attack is worming its way through compromised packages, stealing secrets and sensitive data as it moves through developers' environments, and it shares significant overlap with the open source infections attributed to TeamPCP last month.…

Sony AI's autonomous table-tennis robot Ace has become the first robot to compete against top-level human players. Reuters reports: Ace, created by the Japanese company Sony's AI research division, is the first robot to attain expert-level performance in a competitive physical sport, one that requires rapid decisions and precision execution, the project's leader said. Ace did so by employing high-speed perception, AI-based control and a state-of-the-art robotic system. There have been various ping-pong-playing robots since 1983, but until now they were unable to rival highly skilled human competitors. Ace changed that with its performances against human elite-level and professional players in matches following the rules of the International Table Tennis Federation, the sport's governing body, and officiated by licensed umpires. The project's goal was not only to compete at table tennis but to develop insights into how robots can perceive, plan and act with human-like speed and precision in dynamic environments. In matches detailed in the study, Ace in April 2025 won three out of five versus elite players and lost two matches against professional players, the top skill level in the sport. Sony AI said that since then Ace beat professional players in December 2025 and last month. "The success of Ace, with its perception system and learning-based control algorithm, suggests that similar techniques could be applied to other areas requiring fast, real-time control and human interaction -- such as manufacturing and service robotics, as well as applications across sports, entertainment and safety-critical physical domains," said Peter Durr, director of Sony AI Zurich and leader for Sony AI's project Ace. The findings have been published in the journal Nature.

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And that unauthorized access? 'A nothing burger,' hacking startup CEO tells El Reg

Anthropic's Mythos model is purportedly so good at finding vulnerabilities that the Claude-maker is afraid to make it available to the general public for fear that criminals will take advantage. But early analysis shows that Mythos may not be as dangerous as some would have you believe.…

Bloomberg reports that a small group of unauthorized users gained access to Anthropic's restricted Mythos model through a mix of contractor-linked access and online sleuthing. Anthropic says it is investigating and has no evidence the access extended beyond a third-party vendor environment or affected its own systems. From the report: The users relied on a mix of tactics to get into Mythos. These included using access the person had as a worker at a third-party contractor for Anthropic and trying commonly used internet sleuthing tools often employed by cybersecurity researchers, the person said. The users are part of a private Discord channel that focuses on hunting for information about unreleased models, including by using bots to scour for details that Anthropic and others have posted on unsecured websites such as GitHub. [...] To access Mythos, the group of users made an educated guess about the model's online location based on knowledge about the format Anthropic has used for other models, the person said, adding that such details were revealed in a recent data breach from Mercor, an AI training startup that works with a number of top developers. Crucially, the person also has permission to access Anthropic models and software related to evaluating the technology for the startup. They gained this access from a company for which they have performed contract work evaluating Anthropic's AI models. Bloomberg is not naming the company for security reasons. The group is interested in playing around with new models, not wreaking havoc with them, the person said. The group has not run cybersecurity-related prompts on the Mythos model, the person said, preferring instead to try tasks like building simple websites in an attempt to avoid detection by Anthropic. The person said the group also has access to a slew of other unreleased Anthropic AI models.

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New site set to begin manufacturing and testing HBM memory just in time for Nvidia's Rubin-Ultra GPUs in 2028

SK Hynix has reportedly broken ground on a new advanced memory packaging facility in West Lafayette, Indiana, that should boost the supply of US-made high-bandwidth memory (HBM), a key component in high-end AI accelerators from the likes of Nvidia and AMD.…

Longtime Slashdot reader mmarlett writes: The Atlantic has a long article on the story of missing scientists recently featured here on Slashdot. In short, it is an incoherent conspiracy theory that spreads wide and far, not paying any attention to boundaries of time, space, or area of expertise. "Which is all to say that another piece of flagrant nonsense has ascended to the highest levels of U.S. politics and media," writes the Atlantic's Daniel Engber. "To call it a conspiracy theory would be far too kind, because no comprehensive theory has been floated to explain the pattern of events. But then, even the phrase pattern of events is imprecise, because there is no pattern here at all. Given all the people who could have been roped into this narrative but weren't, any hope of finding meaning falls away. Barring any dramatic new disclosures, the mystery of the missing scientists has the dubious honor of being a sham in every way at once."

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Make your model smarter through self-surveillance

Those who cannot remember Microsoft Recall are condemned to repeat it. …

An anonymous reader quotes a report from Reuters: The Gates Foundation opened an external review earlier this year into its engagement with the late financier and convicted sex offender Jeffrey Epstein, the philanthropic group said on Tuesday. The foundation has been mired in controversy due to Chairman Bill Gates' association with Epstein. A release of emails in January by the U.S. Justice Department also showed communication between Epstein and the Gates Foundation's staff. "Early this year, Gates Foundation CEO Mark Suzman commissioned an external review to assess past foundation engagement with Epstein, and our current policies for vetting and developing new philanthropic partnerships," the foundation said in a statement. "That review is underway, and we expect the board and management will receive an update this summer," it added. The Wall Street Journal, which first reported the news earlier on Tuesday, said Suzman told staff in a memo, "this is a challenging time for our organization in many ways, but it also highlights the critical importance of taking the tough actions now." The WSJ also reports that the Gates Foundation will eliminate up to 500 jobs, or about 20% of its staff, by 2030. It said the foundation has a 2026 budget of about $9 billion, but plans to cap operating expenses at $1.25 billion. Further reading: The Bill Gates-Epstein Bombshell - and What Most People Get Wrong

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Opt-out instructions included if you're not keen on GitHub watching you in the name of product improvement

Users of GitHub's command-line interface (CLI) who value privacy, beware. The Microsoft-owned code-hosting platform has quietly begun collecting pseudonymous client-side telemetry from CLI users and enabled it by default.…

Google announced two new tensor processing units (TPUs) for the "agentic era," with separate processors dedicated to training and inference. "With the rise of AI agents, we determined the community would benefit from chips individually specialized to the needs of training and serving," Amin Vahdat, a Google senior vice president and chief technologist for AI and infrastructure, said in a blog post. Both chips will become available later this year. CNBC reports: After years of producing chips that can both train artificial intelligence models and handle inference work, Google is separating those tasks into distinct processors, its latest effort to take on Nvidia in AI hardware. [...] None of the tech giants are displacing Nvidia, and Google isn't even comparing the performance of its new chips with those from the AI chip leader. Google did say the training chip enables 2.8 times the performance of the seventh-generation Ironwood TPU, announced in November, for the same price, while performance is 80% better for the inference processor. Nvidia said its upcoming Groq 3 LPU hardware will draw on large quantities of static random-access memory, or SRAM, which is used by Cerebras, an AI chipmaker that filed to go public earlier this month. Google's new inference chip, dubbed TPU 8i, also relies on SRAM. Each chip contains 384 megabytes of SRAM, triple the amount in Ironwood. The architecture is designed "to deliver the massive throughput and low latency needed to concurrently run millions of agents cost-effectively," Sundar Pichai, CEO of Google parent Alphabet, wrote in a blog post.

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Colorado amendments could exempt open source OSes, code repos, and containers

The prospect of OS-level age checks applying to open source systems is a serious concern for FOSS advocates. Campaigners appear to have secured proposed exemptions for open source operating systems, code repositories, and containers in one US state, but stricter federal legislation has already been introduced in Congress.…

Happy Earth Day!

Datacenter growth in the US is helping keep aging fossil-fuel plants online longer, slowing the shift to a cleaner grid and worsening air pollution, according to new research from a group of environmental nonprofits.…

A satirical but working tool called Malus uses AI to create "clean room" clones of open-source software, aiming to reproduce the same functionality while shedding attribution and copyleft obligations. "It works," Mike Nolan, one of the two people behind Malus, who researches the political economy of open source software and currently works for the United Nations, told 404 Media. "The Stripe charge will provide you the thing, and it was important for us to do that, because we felt that if it was just satire, it would end up like every other piece of research I've done on open source, which ends up being largely dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation." 404 Media reports: Malus's legal strategy for bypassing copyright is based on a historically pivotal moment for software and copyright law dating back to 1982. Back then, IBM dominated home computing, and competitors like Columbia Data Products wanted to sell products that were compatible with software that IBM customers were already using. Reverse engineering IBM's computer would have infringed on the company's copyright, so Columbia Data Products came up with what we now know as a "clean room" design. It tasked one team with examining IBM's BIOS and creating specifications for what a clone of that system would require. A different "clean" team, one that was never exposed to IBM's code, then created BIOS that met those specifications from scratch. The result was a system that was compatible with IBM's ecosystem but didn't violate its copyright because it did not copy IBM's technical process and counted as original work. This clean room method, which has been validated by case law and dramatized in the first season of Halt and Catch Fire, made computing more open and competitive than it would have been otherwise. But it has taken on new meaning in the age of generative AI. It is now easier than ever to ask AI tools to produce software that is identical in function to existing open source projects, and that, some would argue, are built from scratch and are therefore original work that can bypass existing copyright licenses. Others would say that software produced by large language models is inherently derivative, because like any LLM output, it is trained on the collective output of humans scraped from the internet, including specific open source projects. Malus (pronounced malice), uses AI to do the same thing. "Finally, liberation from open source license obligations," Malus's site says. "Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." Copyleft is a type of copyright license that ensures reproductions or applications of the software keep it free to share and modify.

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Report also slams multiple vendors for poor data integration and egress fees

Workday, Rippling, and Salesforce-owned Slack rank among the worst performers for enterprise data movement, according to a new industry benchmark tracking the speeds needed to power analytics, machine learning, and AI agents.…

Still here, still changing, still relevant, still your best choice

If you're stuck without access to tech support – say, half way to the Moon – then you're better off with a single install of Thunderbird than any number of Outlooks.…

CATL unveiled a new wave of EV battery tech, "including a lighter battery pack rated for a 1,000-km (621-mile) driving range and an upgraded fast-charging battery that can go from 10 percent to 98 percent in under seven minutes," reports Interesting Engineering. From the report: The launches were made during a 90-minute event in Beijing ahead of the Beijing Auto Show, where automakers are expected to showcase next-generation EVs and connected technologies. CATL said its latest Qilin battery -- a high-energy-density pack often paired with nickel manganese cobalt (NMC) cells for long range and improved space efficiency -- can deliver a 1,000-km (621-mile) driving range. It is designed to deliver long range while reducing battery pack weight. The company said the product is aimed at automakers facing tighter efficiency rules in China and other markets. It also rolled out an upgraded Shenxing battery -- CATL's fast-charging lithium iron phosphate (LFP) pack -- that targets one of the biggest barriers to EV adoption: charging time. CATL said the pack can recharge from 10 percent to 98 percent in less than seven minutes. The new Shenxing battery marks a significant improvement over CATL's previous version, which charged from 5 percent to 80 percent in 15 minutes, according to Financial Times. [...] The company also announced plans to begin mass delivery of sodium-ion batteries in the fourth quarter. Sodium-ion technology is seen as a lower-cost alternative that could reduce dependence on lithium, cobalt, and nickel.

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'I think this might be one of my greatest hacks of all time,' says dev behind unholy abomination

The Windows Subsystem for Linux is an invaluable tool, but anyone wanting to run it on a Windows 9x system would find themselves out of luck until now.…

An anonymous reader quotes a report from Ars Technica: The US military's massive $1.5 trillion budget request for the next fiscal year includes what Pentagon officials described as the largest investment in drone warfare and counter-drone technology in US history. The proposed spending on drone and autonomous warfare technologies within the FY2027 budget proposal for the US Department of Defense would surpass most countries' defense budgets and rank among the top 10 in the world for military spending, ahead of countries such as Ukraine, South Korea, and Israel. Specifically, the Pentagon is requesting $53.6 billion to boost US production and procurement of drones, train drone operators, build out a logistics network for sustaining drone deployments, and expand counter-drone systems to defend more US military sites. The funding request is budgeted under the Defense Autonomous Warfare Group (DAWG), an organization established in late 2025 that would see a massive budget increase after receiving about $226 million in the 2026 fiscal year budget. [...] Another $20.6 billion would help purchase one-way attack drones and drone aircraft developed through the US Air Force's Collaborative Combat Aircraft program, which is building drone prototypes capable of teaming up with human-piloted fighter jets. Part of this funding would also go toward defensive systems for countering small drones and the US Navy's Boeing MQ-25 drone designed to perform midair refueling of carrier-borne fighter aircraft to extend their strike ranges. Such drone-related spending even rivals the entire budget of the US Marine Corps. But the Pentagon has not said that it is creating a dedicated drone branch of the US military similar to the standalone Space Force. Pentagon officials emphasized that most of the money would go toward procuring drone and autonomous warfare technologies that already exist, and is largely separate from additional funding that would bolster US domestic manufacturing capacity to build such weapon systems. "That $70 billion is all going into existing systems and technologies," said Hurst. "The industrial base support is entirely separate." "The evolution we've seen in the battlefield is this evolution of technologies in the timeframe of weeks, not the typical years we see with our defense production," said Lt. Gen. Steven Whitney, director of force structure, resources, and assessment for the Pentagon's Joint Chiefs of Staff, during a Pentagon press briefing. "So it's really critical we work with industry to get that capability fielded."

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Good news for future missions as initial findings agree with agency's design decision

Initial reports have confirmed NASA's assessment that the Orion heat shield kept the Artemis II crew safe during re-entry.…

Observability biz bets on business analytics wedge as Loki put on long-overdue diet

Grafana is offering its AI assistant for free to open source and on-prem users — though on stage at its Barcelona user conference this week, CEO Raj Dutt joked they shouldn't use it too much.…