The Trump family’s World Liberty crypto venture is being sued by one of its billionaire backers over allegations of extortion. Justin Sun has accused World Liberty of an “illegal scheme” to seize his WLFI tokens, a cryptocurrency issued by the company. Sun alleges the firm, co-founded by U.S. President Donald Trump and his son Eric Trump, has “frozen” all of his tokens and stripped him of his right to vote on governance issues.

[…] Sun alleged that those running World Liberty, including another co-founder, Chase Herro, are using it as a “golden opportunity to leverage the Trump brand to profit through fraud.” In his complaint, filed on Tuesday in a San Francisco federal court, Sun argues that initial promises to give token-holders the option to trade the currency in future “were false and misleading.” While the tokens at large became tradeable, Sun said World Liberty has blocked him from being able to sell a single one, and is now threatening to “burn” his - deleting them entirely.

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 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.

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.”

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.”

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.

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.

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.

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 study was led by Amy Williams, Ph.D., a professor of geological sciences at the University of Florida and a scientist on the Curiosity and Perseverance Mars rover missions. Curiosity landed on Mars in 2012 to find evidence that ancient Mars had conditions that could support microbial life billions of years ago; the Perseverance rover, which landed in 2021, was sent to look for signs of any ancient life that might have formed.

Among the 20-plus chemicals identified by the experiment, Curiosity spotted a nitrogen-bearing molecule with a structure similar to DNA precursors — a chemical never before spotted on Mars. The rover also identified benzothiophene, a large, double-ringed, sulfurous chemical often delivered to planets by meteorites. “The same stuff that rained down on Mars from meteorites is what rained down on Earth, and it probably provided the building blocks for life as we know it on our planet,” Williams said.

A nuclear physicist and MIT professor fatally shot outside his Massachusetts residence. A retired Air Force general missing from his New Mexico home. An aerospace engineer who disappeared during a hike in Los Angeles. These are among at least 10 individuals connected to sensitive US nuclear and aerospace research who have died or disappeared in recent years, prompting concerns whether they are connected and fueling speculation online about the possibility of nefarious activity. […]

The Defense Department said only that it would respond to the committee directly, and the Department of Energy referred questions to the White House. In a post on X, NASA said it is “coordinating and cooperating with the relevant agencies” in relation to the scientists. “At this time, nothing related to NASA indicates a national security threat,” NASA spokesperson Bethany Stevens said.

The cases vary widely in circumstance. Some involve unsolved homicides, while others are missing persons cases with no signs of foul play. In at least two instances, families have pointed to preexisting medical conditions or personal struggles as explanations. Authorities have not established any links between the cases. The White House said last week it is also working with federal agencies to probe any potential links between the deaths and disappearances, with President Donald Trump referring to the matter as “pretty serious stuff.”

SpaceX, Elon Musk’s rocket and satellite company, said on Tuesday that it had struck a deal with the artificial intelligence start-up Cursor that could result in its acquiring the young company for $60 billion. SpaceX is making the deal just as it prepares to go public in what is likely to be one of the largest initial public offerings ever. In a social media post, SpaceX said the combination with Cursor, which makes code-writing software, would “allow us to build the world’s most useful” A.I. models.

SpaceX added that the agreement gave it the option “to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.” It is unclear if the companies plan to consummate the deal before or after SpaceX’s I.P.O., which could happen as early as June. […] Cursor, which has raised more than $3 billion in funding, was founded in 2022 and made waves as a fast-growing A.I. start-up. It was under pressure in recent months after OpenAI and Anthropic announced competing code-writing products that were embraced by tech companies. Cursor had been in talks to raise funding in recent weeks.

The Republican attorney general, James Uthmeier, said at a press conference in Tampa on Tuesday that accused gunman Phoenix Ikner consulted ChatGPT for advice before the shooting, including what type of gun to use, what ammunition went with it, and what time to go to campus to encounter more people, according to an initial review of Ikner’s chat logs. “My prosecutors have looked at this and they’ve told me, if it was a person on the other end of that screen, we would be charging them with murder,” Uthmeier said. “We cannot have AI bots that are advising people on how to kill others.”

Uthmeier’s office is issuing subpoenas to OpenAI seeking information about its policies and internal training materials related to user threats of harm and how it cooperates with and reports crimes to law enforcement, dating back to March 2024. At the press conference, Uthmeier acknowledged the investigation is entering into uncharted territory and is uncertain about whether OpenAI has criminal liability. “We are going to look at who knew what, designed what, or should have done what,” he said. “And if it is clear that individuals knew that this type of dangerous behavior might take place, that these types of unfortunate, tragic events might take place, and nevertheless still turned to profit, still allowed this business to operate, then people need to be held accountable.”

[…] Ikner, 21, is facing multiple charges of murder and attempted murder for the April 2025 shooting near the student union on FSU’s Tallahassee campus, where he was a student at the time. His trial is set to begin on Oct. 19. According to court filings, more than 200 AI messages have been entered into evidence in the case.

Mozilla says it used an early version of Anthropic’s Claude Mythos Preview to comb through Firefox’s code, and the results were hard to ignore. In Firefox 150, the team fixed 271 vulnerabilities identified during this effort, a number that would have been unthinkable not long ago. Instead of relying only on fuzzing tools or human review, the AI was able to reason through code and surface issues that typically require highly specialized expertise.

The bigger implication is less about one release and more about where this is heading. Security has long favored attackers, since they only need to find a single flaw while defenders have to protect everything. If AI can scale vulnerability discovery for defenders, that dynamic could start to shift. It does not mean zero days disappear overnight, but it suggests a future where bugs are found and fixed faster than attackers can weaponize them.

Framework has been selling and shipping its modular, repairable, upgradable Laptop 13 for five years now, and in that time, it has released six distinct versions of its system board, each using fresh versions of Intel and AMD processors (seven versions, if you count this RISC-V one). The laptop around those components has gradually gotten better, too. Over the years, Framework has added higher-resolution screens in both matte and glossy finishes, a slightly larger battery, and other tweaked components that refine the original design. But so far, all of those parts have been totally interchangeable, and the fundamentals of the Laptop 13 design haven’t changed much.

That changes today with the Framework Laptop 13 Pro, which, despite its name, is less an offshoot of the original Laptop 13 and closer to a ground-up redesign. It includes new Core Ultra Series 3 chips (codenamed Panther Lake), Framework’s first touchscreen, a new black aluminum color option, a larger battery, and other significant changes. And while it sacrifices some component compatibility with the original Laptop 13, displays and motherboards remain interchangeable, so Framework Laptop owners can buy the new Core Ultra board and owners of older Framework Laptop boards can pop one into a Pro to benefit from the new battery and screen. At 1.4kg (about 3 pounds), the Laptop 13 Pro is slightly heavier than the Laptop 13’s 1.3kg, but it still stacks up well against the 14-inch M5 MacBook Pro (1.55kg, or 3.4 pounds).

The Framework Laptop Pro will start at $1,199 for a DIY edition with a Core Ultra 5 325 processor, and no RAM, SSD, or operating system. A prebuilt version with Ubuntu Linux installed will start at $1,499, and Windows 11 will cost another $100 on top of that. A Core Ultra X7 358H version starts at $1,599 for a DIY edition, and a “limited batch” Core Ultra X9 388H version starts at $1,799. A bare motherboard with the Core Ultra 5 325 starts at $449, while a Core Ultra X7 358H board will cost $799. Pre-orders are available now, and begin shipping in June.