The move comes as Nvidia prepares for its annual developer conference in San Jose next week. Ahead of the conference, Nvidia has reached out to companies including Salesforce, Cisco, Google, Adobe, and CrowdStrike to forge partnerships for the agent platform. It’s unclear whether these conversations have resulted in official partnerships. Since the platform is open source, it’s likely that partners would get free, early access in exchange for contributing to the project, sources say. Nvidia plans to offer security and privacy tools as part of this new open-source agent platform. […]

For Nvidia, NemoClaw appears to be part of an effort to court enterprise software companies by offering additional layers of security for AI agents. It’s also another step in the company’s embrace of open-source AI models, part of a broader strategy to maintain its dominance in AI infrastructure at a time when leading AI labs are building their own custom chips. Nvidia’s software strategy until now has been heavily reliant on its CUDA platform, a famously proprietary system that locks developers into building software for Nvidia’s GPUs and has created a crucial “moat” for the company.

The technology itself launched last year to roughly 4 million YouTube creators in the YouTube Partner Program, following earlier tests. Similar to YouTube’s existing Content ID system, which detects copyright-protected material in users’ uploaded videos, the likeness detection feature looks for simulated faces made with AI tools. These tools are sometimes used to try to spread misinformation and manipulate people’s perception of reality, as they leverage the deepfaked personas of notable figures — like politicians or other government officials — to say and do things in these AI videos that they didn’t in real life.

With the new pilot program, YouTube aims to balance users’ free expression with the risks associated with AI technology that can generate a convincing likeness of a public figure. […] [Leslie Miller, YouTube’s vice president of Government Affairs and Public Policy] explained that not all of the detected matches would be removed when requested. Instead, YouTube would evaluate each request under its existing privacy policy guidelines to determine whether the content is parody or political critique, which are protected forms of free expression. The company noted it’s advocating for these protections at a federal level, too, with its support for the NO FAKES Act in D.C., which would regulate the use of AI to create unauthorized recreations of an individual’s voice and visual likeness.

To use the new tool, eligible pilot testers must first prove their identity by uploading a selfie and a government ID. They can then create a profile, view the matches that show up, and optionally request their removal. YouTube says it plans to eventually give people the ability to prevent uploads of violating content before they go live or, possibly, allow them to monetize those videos, similar to how its Content ID system works. The company would not confirm which politicians or officials would be among its initial testers, but said the goal is to make the technology broadly available over time.

Chinese authorities moved to restrict state-run enterprises and government agencies from running OpenClaw AI apps on office computers, acting swiftly to defuse potential security risks after companies and consumers across China began experimenting with the agentic AI phenomenon. Government agencies and state-owned enterprises, including the largest banks, have received notices in recent days warning them against installing OpenClaw software on office devices for security reasons […]. Several of them were instructed to notify superiors if they had already installed related apps for security checks and possible removal, some of the people said.

Certain employees, including those at state-run banks and some government agencies, were banned from installing OpenClaw on office computers and also personal phones using the company’s network, some of the people said. One person said the ban was also extended to the families of military personnel. Other notices stopped short of calling for an outright ban on OpenClaw software, saying only that prior approval is needed before use, the people said. The warning underscores Beijing’s growing concern about OpenClaw, an agentic AI platform that requires unusually broad access to private data and can communicate externally, potentially exposing computers to external attack. […]

Despite the potential security risks, companies from Tencent to JD.com Inc. have been rolling out OpenClaw apps to try and capitalize on the groundswell of enthusiasm, while several local government agencies have declared millions of yuan in subsidies for companies that develop atop the platform. […] Tech giants like Tencent and Alibaba, along with AI upstarts ranging from Moonshot to MiniMax, have rolled out their own tweaks of the software touting simple, one-click adoption. A slew of government agencies, in cities from Shenzhen to Wuxi, have issued notices offering multimillion-yuan subsidies to startups leveraging OpenClaw to make advances. The frenzy has helped drive up shares of AI model developer MiniMax nearly 640% since its listing just two months ago. It’s now worth about $49 billion, surpassing Baidu — once viewed as the frontrunner in Chinese AI development — in market value. The company launched MaxClaw, an agent built on OpenClaw, in late February.

Hsu said he believes all the PC players — including Microsoft, Intel, and AMD — take the MacBook Neo threat seriously. “In fact, in the entire PC ecosystem, there have been a lot of discussions about how to compete with this product,” he added, given that rumors about the MacBook Neo have been making the rounds for at least a year. Despite the competitive threat, Hsu argued that the MacBook Neo could have limited appeal. He pointed to the laptop’s 8GB of “unified memory,” or what amounts to its RAM, and how customers can’t upgrade it.

He also described the MacBook Neo as a “content consumption” device, similar to an iPad. “This is different from the use case of a mainstream notebook,” which can handle more compute-intensive tasks, Hsu said. “How big of an impact [the MacBook Neo] will have on the PC industry will still require some time for us to observe,” Hsu said while suggesting it might not gain traction among Windows PC users due to software differences. “Of course, the entire Windows PC ecosystem will push out products to compete against Apple,” he added.

The fee, for image or video ads delivered on Meta platforms including WhatsApp click-to-message campaigns and marketing messages together with ads, will apply from July 1 and will also cover other government-imposed levies. “Until now, Meta has covered these additional costs. These changes are part of Meta’s ongoing effort to respond to the evolving regulatory landscape and align with industry standards,” the company said in the blog.

The location fees are determined by where the audience is located and not the advertisers’ business location. Meta listed six countries where the fees will apply, ranging from 2% in the United Kingdom to 3% in France, Italy and Spain and 5% in Austria and Turkey.

Advanced Machine Intelligence (AMI), a new Paris-based startup cofounded by Meta’s former chief AI scientist Yann LeCun, announced Monday it has raised more than $1 billion to develop AI world models. LeCun argues that most human reasoning is grounded in the physical world, not language, and that AI world models are necessary to develop true human-level intelligence. “The idea that you’re going to extend the capabilities of LLMs [large language models] to the point that they’re going to have human-level intelligence is complete nonsense,” he said in an interview with WIRED.

The financing, which values the startup at $3.5 billion, was co-led by investors such as Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions. Other notable backers include Mark Cuban, former Google CEO Eric Schmidt, and French billionaire and telecommunications executive Xavier Niel. AMI (pronounced like the French word for friend) aims to build “a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe,” the company says in a press release. The startup says it will be global from day one, with offices in Paris, Montreal, Singapore, and New York, where LeCun will continue working as a New York University professor in addition to leading the startup. AMI will be the first commercial endeavor for LeCun since his departure from Meta in November 2025. […]

LeCun says AMI aims to work with companies in manufacturing, biomedical, robotics, and other industries that have lots of data. For example, he says AMI could build a realistic world model of an aircraft engine and work with the manufacturer to help them optimize for efficiency, minimize emissions, or ensure reliability. LeCun says AMI will release its first AI models quickly, but he’s not expecting most people to take notice. The company will first work with partners such as Toyota and Samsung, and then will learn how to apply its technology more broadly. Eventually, he says, AMI intends to develop a “universal world model,” which would be the basis for a generally intelligent system that could help companies regardless of what industry they work in. “It’s very ambitious,” he says with a smile.

The system is well known to anyone who’s played a Valve multiplayer game: Earn a locked loot box by playing, pay $2.50 for a key, unlock it, get a digital doohickey that’s sometimes worth hundreds or even thousands of dollars but far more often is worth just a few pennies. Is that gambling? If these cases go to court, we’ll find out.

The full complaint points out that the unlocking process is even designed to look like a slot machine: “Images of possible items scroll across the screen, spinning fast at first, then slowing to a stop on the player’s ‘prize.’ Players buy and open loot boxes for the same reason people play slot machines — the hope of a valuable payout.” Loot boxes, the complaint continues, are not “incidental features” of Valve’s games, but rather “a deliberate, carefully engineered revenue model.” So too is the Steam Community Market, and Steam itself, which the suit claims is “deliberately designed” to enable the sale of digital items on third-party marketplaces through “trade URLs,” despite Valve’s terms of service prohibiting off-platform sales.

And while the debate over whether loot boxes constitute a form of gambling continues to rage, the suit claims Valve’s system does indeed qualify under Washington law, which defines gambling as “staking or risking something of value upon the outcome of a contest of chance or a future contingent event not under the person’s control or influence.” “Valve’s loot boxes satisfy every element of this definition,” the lawsuit alleges. “Users stake money (the price of a key) on the outcome of a contest of chance (the random selection of a virtual item), and the items received are ‘things of value’ under RCW 9.46.0285 because they can be sold for real money through Valve’s own marketplace and through third-party marketplaces that Valve has fostered and facilitated.”

The spacecraft is projected to re-enter around 19:45 EST (00:45 GMT) on Tuesday the U.S. Space Force predicted, according to Nasa, though there is a 24-hour margin of “uncertainty” in the timing. […] The spacecraft and its twin, Van Allen Probe B, were on a mission to gather unprecedented data on Earth’s two permanent radiation belts. It was not immediately clear where in Earth’s atmosphere the satellite is projected to re-enter. NASA and the U.S. Space Force has said it will monitor the re-entry and update any predictions. […] Van Allen Probe B is not expected to re-enter the Earth’s atmosphere before 2030.

Amazon’s ecommerce business has summoned a large group of engineers to a meeting on Tuesday for a “deep dive” into a spate of outages, including incidents tied to the use of AI coding tools. The online retail giant said there had been a “trend of incidents” in recent months, characterized by a “high blast radius” and “Gen-AI assisted changes” among other factors, according to a briefing note for the meeting seen by the FT. Under “contributing factors” the note included “novel GenAI usage for which best practices and safeguards are not yet fully established.”

“Folks, as you likely know, the availability of the site and related infrastructure has not been good recently,” Dave Treadwell, a senior vice-president at the group, told employees in an email, also seen by the FT. The note ahead of Tuesday’s meeting did not specify which particular incidents the group planned to discuss. […] Treadwell, a former Microsoft engineering executive, told employees that Amazon would focus its weekly “This Week in Stores Tech” (TWiST) meeting on a “deep dive into some of the issues that got us here as well as some short immediate term initiatives” the group hopes will limit future outages.

He asked staff to attend the meeting, which is normally optional. Junior and mid-level engineers will now require more senior engineers to sign off any AI-assisted changes, Treadwell added. Amazon said the review of website availability was “part of normal business” and it aims for continual improvement. “TWiST is our regular weekly operations meeting with a specific group of retail technology leaders and teams where we review operational performance across our store,” the company said.

Worried that your latest ask to a cloud-based AI reveals a bit too much about you? Want to know your genetic risk of disease without revealing it to the services that compute the answer? There is a way to do computing on encrypted data without ever having it decrypted. It’s called fully homomorphic encryption, or FHE. But there’s a rather large catch. It can take thousands — even tens of thousands — of times longer to compute on today’s CPUs and GPUs than simply working with the decrypted data. So universities, startups, and at least one processor giant have been working on specialized chips that could close that gap. Last month at the IEEE International Solid-State Circuits Conference (ISSCC) in San Francisco, Intel demonstrated its answer, Heracles, which sped up FHE computing tasks as much as 5,000-fold compared to a top-of the-line Intel server CPU.

Startups are racing to beat Intel and each other to commercialization. But Sanu Mathew, who leads security circuits research at Intel, believes the CPU giant has a big lead, because its chip can do more computing than any other FHE accelerator yet built. “Heracles is the first hardware that works at scale,” he says. The scale is measurable both physically and in compute performance. While other FHE research chips have been in the range of 10 square millimeters or less, Heracles is about 20 times that size and is built using Intel’s most advanced, 3-nanometer FinFET technology. And it’s flanked inside a liquid-cooled package by two 24-gigabyte high-bandwidth memory chips—a configuration usually seen only in GPUs for training AI.

In terms of scaling compute performance, Heracles showed muscle in live demonstrations at ISSCC. At its heart the demo was a simple private query to a secure server. It simulated a request by a voter to make sure that her ballot had been registered correctly. The state, in this case, has an encrypted database of voters and their votes. To maintain her privacy, the voter would not want to have her ballot information decrypted at any point; so using FHE, she encrypts her ID and vote and sends it to the government database. There, without decrypting it, the system determines if it is a match and returns an encrypted answer, which she then decrypts on her side. On an Intel Xeon server CPU, the process took 15 milliseconds. Heracles did it in 14 microseconds. While that difference isn’t something a single human would notice, verifying 100 million voter ballots adds up to more than 17 days of CPU work versus a mere 23 minutes on Heracles.

In a ruling dated Monday, U.S. District Judge Maxine Chesney wrote that Amazon has provided “strong evidence” that Perplexity’s Comet browser accessed its website at the user’s direction, but “without authorization” from the e-commerce giant. Chesney said Amazon submitted “essentially undisputed evidence” that it spent more than $5,000 to respond to the issue, including “numerous hours” where its employees worked to develop tools to block Comet from accessing its private customer tools and to prevent the tool from “future unauthorized access.” “Given such evidence, the Court finds Amazon has shown a likelihood of success on the merits of its claim,” Chesney wrote.

Chesney’s ruling includes a weeklong stay to allow Perplexity to appeal the order. Amazon wrote in its original complaint that Perplexity’s agents posed security risks to customer data because they “can act within protected computer systems, including private customer accounts requiring a password.” The company also said Perplexity’s agents created challenges for the company’s advertising business, because when AI systems generate ad traffic, the impressions have to be detected and filtered out before advertisers can be billed. “This requires modifications to Amazon’s advertising systems, including developing new detection mechanisms to identify and exclude automated traffic,” Amazon wrote in its complaint. “These system adaptations are necessary to maintain contractual obligations with advertisers who pay only for legitimate human impressions.”

Silicon Valley has long competed for talent with ever-richer pay packages built around salary, bonus, and equity. Now, a fourth line item is creeping into the mix: AI inference. As generative AI tools become embedded in software development, the cost of running the underlying models — known as inference — is emerging as a productivity driver and a budget line that finance chiefs can’t ignore.

Software engineers and AI researchers inside tech companies have already been jousting for access to GPUs, with this AI compute capacity being carefully parceled out based on which projects are most important. Now, some tech job candidates have begun asking about what AI compute budget they will have access to if they decide to join.

“I am increasingly asked during candidate interviews how much dedicated inference compute they will have to build with Codex,” Thibault Sottiaux, engineering lead at OpenAI’s Codex, the startup’s AI coding service, wrote on X recently. He added that usage per user is growing much faster than overall user growth, a sign that AI compute is becoming even scarcer and more valuable. That scarcity is reshaping how engineers think about their work and pay.

Rapid adoption of artificial intelligence, cloud computing and connected devices has prompted telecom operators to invest heavily in fiber and 5G networks as they also seek to fend off intensifying competition from cable broadband providers. AT&T, which has about 110,000 employees in the U.S., said the new hires will help build and maintain its infrastructure. The outlay includes capital expenditure and other spending, the company said.

The spending will focus on expanding its fiber and wireless networks, including accelerating deployment of fiber broadband, 5G home internet and satellite connectivity to extend coverage across urban, suburban and rural areas. […] AT&T is also working with satellite partner AST SpaceMobile to expand connectivity to remote regions where traditional network infrastructure is difficult to deploy. The company said it would continue spending on the FirstNet network built for first responders and bolster investment in network security and artificial intelligence-driven threat detection.

Established in 1991, the Ig Nobels are a good-natured parody of the Nobel Prizes; they honor “achievements that first make people laugh and then make them think.” As the motto implies, the research being honored might seem ridiculous at first glance, but that doesn’t mean it’s devoid of scientific merit. The unapologetically campy awards ceremony features miniature operas, scientific demos, and the 24/7 lectures, in which experts must explain their work twice: once in 24 seconds and again in just seven words.

Traditionally, the awards ceremony and related Ig Nobel events have taken place in Boston at Harvard University, Massachusetts Institute of Technology, and Boston University. However, four of last year’s 10 winners opted to skip the ceremony rather than travel to the U.S., and the situation has not improved. […] [T]his year, the Ig Nobel organizers are joining forces with the ETH Domain and the University of Zurich for hosting duties. “Switzerland has nurtured many unexpected good things — Albert Einstein’s physics, the world economy, and the cuckoo clock leap to mind — and is again helping the world appreciate improbable people and ideas,” Abraham said.

The Ig Nobels will not be returning to the U.S. any time soon. Instead, the plan is for Zurich to host every second year; every odd-numbered year, the ceremony will be hosted by a different European city. Abraham likened the arrangement to the Eurovision Song Contest.