AI News Archive: June 1, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- Anthropic’s Mythos is exposing the cyber security problems businesses can no longer ignore: And now an IPO?
Anthropic’s Mythos is exposing the cyber security problems businesses can no longer ignore: And now an IPO? verdict.co.uk
- Nvidia gives developers the tools to build secure, autonomous AI workers that scale
Not content with just providing the infrastructure for the next generation of artificial intelligence agents, Nvidia Corp. is also providing the tools for developers to build them. At Nvidia GTC Taipei 2026, concurrent with the Computex conference, the company unveiled the latest iteration of its Agent Toolkit. It’s a comprehensive suite of software, open-source models […] The post Nvidia gives developers the tools to build secure, autonomous AI workers that scale appeared first on SiliconANGLE .
Score: 52🌐 MovesJun 1, 2026https://siliconangle.com/2026/06/01/nvidia-gives-developers-tool-build-secure-autonomous-ai-workers-scale/ - Anthropic prepares ‘Conway’ agent platform
Anthropic is preparing an agent platform called Conway.
Score: 52🌐 MovesJun 1, 2026https://aibreakfast.beehiiv.com/p/anthropic-prepares-conway-agent-platform - Major AI Models Consistently Break EU Regulations, Study Shows
Major AI models from OpenAI, Anthropic, and Google routinely fail EU GDPR and AI Act compliance, a new study reveals. Discover the enterprise risks. The post Major AI Models Consistently Break EU Regulations, Study Shows appeared first on TechRepublic .
Score: 51🌐 MovesJun 1, 2026https://www.techrepublic.com/article/ai-models-break-eu-regulations-study-shows/ - Linamar to build cobots, humanoid robots in-house, as supplier seeks growth beyond automotive
Linamar to build cobots, humanoid robots in-house, as supplier seeks growth beyond automotive Automotive News
Score: 51🌐 MovesJun 1, 2026https://canada.autonews.com/manufacturing/suppliers/anc-linamar-cobot-humanoid-robots-expansion-0601/ - Dell Makes The Profits Up In Volume For Booming AI Servers
Dell Makes The Profits Up In Volume For Booming AI Servers
- Mistral CEO on company’s new direction: AI enters physical world
Mistral CEO discusses company's new direction in AI
Score: 50🌐 MovesJun 1, 2026https://ioplus.nl/en/posts/mistral-ceo-on-companys-new-direction-ai-enters-physical-world - MiniMax Eyes Shanghai Listing as China AI Firms Chase Capital
MiniMax Eyes Shanghai Listing as China AI Firms Chase Capital Caixin Global
- Exclusive: Mecka AI raises $60 million to train robots with human data sourced from body sensors and iPhones
Exclusive: Mecka AI raises $60 million to train robots with human data sourced from body sensors and iPhones Fortune
Score: 49💰 MoneyJun 1, 2026https://fortune.com/2026/06/01/mecka-ai-series-a-60-million-robotics-data-training/ - Gemini Spark arrives for Google AI Ultra users: How the agentic AI works
Introduced at Google I/O, Gemini Spark is rolling out to AI Ultra users in the US, offering a proactive AI agent that can automate tasks across apps and services
- AI ‘Virtual Engineer’ Has Slashed Chip Production Time. The Stock Is Rising.
AI ‘Virtual Engineer’ Has Slashed Chip Production Time. The Stock Is Rising. Barron's
Score: 49🌐 MovesJun 1, 2026https://www.barrons.com/articles/cadence-stock-price-ai-robot-chip-6696045d - Gemini’s new AI agent is about as good as Google’s demo
Google's new "24/7" AI agent, Gemini Spark, can be shockingly good at doing things on your behalf. But I'm not sure it's worth the financial cost and potential privacy tradeoffs. The company gave me access to Spark last week. Google advertises Spark as an AI agent that can take on tasks and work on them […]
Score: 49🌐 MovesJun 1, 2026https://www.theverge.com/tech/941138/google-gemini-spark-ai-agent-hands-on - Inside Uber’s strategy to avoid a head-on collision with autonomous cars
Pale springtime sun skims across lower Manhattan’s streets and sidewalks as buses groan, jackhammers echo, and commuters hustle. It’s a fitting backdrop for Uber’s annual product showcase, Go-Get, held on this April morning inside the creamy marble confines of the Perelman Performing Arts Center. Uber’s CEO, Dara Khosrowshahi , was hired nine years ago to impose order on the chaos of the company’s wildly aggressive corporate culture. With that work complete, he’s been focused more recently on taming the chaos of consumers’ daily lives, adding everything from teen accounts to Costco delivery to the once-straightforward hailing app. The headline for this year’s Go-Get is a new hotel-booking feature , powered by Expedia. It brings 700,000 hotels to the Uber app. Vrbo listings will follow later this year, and Uber is layering in sightseeing destinations and other travel features, too. “We’re no longer just an app for rides,” Khosrowshahi tells the audience of journalists, influencers, and employees inside the arts center’s darkened auditorium. “Uber is now an app for everything.” Khosrowshahi, who previously spent a dozen years at the helm of Expedia, has long seen an opportunity to turn travel into the app’s next big offering, akin to its food-ordering and delivery platform, Uber Eats. Trips to and from an airport, after all, comprise roughly 15% of rides and have ripple effects. They can be the reason that people download Uber for the first time, and why they default to the app closer to home, too. “We have to make what may be very difficult, complex orchestrations on the back end ridiculously easy and simple for the user,” Khosrowshahi tells me as we sit in the burgundy velvet seats of the Perelman theater after the Go-Get crowds have cleared. “That’s when the magic happens.” Uber runs arguably the most sophisticated real-time consumer marketplace in the world. The company deftly balances the supply and demand for its 10 million couriers and drivers and nearly 200 million monthly active users via data-intensive, time-sensitive levers. Uber controls these levers so nimbly that it’s been able to seamlessly roll out feature after feature: Uber Pet, Senior Mode , grocery delivery, and more. It even enlisted one of its most despised innovations, surge pricing, as a selling point for the more than 50 million members of its $10-a-month Uber One program by offering “Surge Savings,” or personalized discounts at peak hours. Lipstick: pig. But for Uber, it works. And the company is profitable. After logging its first quarter in the black from operations in 2023, it generated $193 billion in gross bookings last year, with ride-sharing representing slightly more than half. Net income for 2025 topped $10 billion. While it’s still common to hear Uber and Lyft referred to as rivals, the label is tenuous: Uber’s market capitalization was 29 times greater than Lyft’s as of mid-May. In The Driver’s Seat: Uber CEO Dara Khosrowshahi is preparing the ride-hailing app for the emergence of autonomous vehicles. [Video and photo: Arsenii Vaselenko ] And yet, a new era is dawning. Khosrowshahi, ever unflappable, is selling vacation-booking to the Go-Get audience with a smile. But outside of these walls, his software peers are publicly declaring “code red,” pivoting to AI , and firing half their employees . AI—in the form of self-driving cars—represents a textbook Clayton Christensen disruptive threat to Uber: Using a mobile app to hail a ride with a human driver was revolutionary 15 years ago; eventually, it’ll sound quaint. Goldman Sachs expects the U.S. robotaxi market to be worth $19 billion by 2030 and $48 billion by 2035. “For ride-hailing companies, [autonomy] is an existential risk, and they knew it 10 years ago,” says Laurie Yoler, a venture partner at Playground Global who previously served on the board of directors at Tesla and the Amazon-owned robotaxi company Zoox. In Uber’s brash and bro-tastic early days, when founder Travis Kalanick was CEO, the company built its own autonomous vehicles (AVs). These days, under Khosrowshahi, it’s taking on the role of market maker—and positioning itself as the platform that connects riders to all AVs. Khosrowshahi scored an early win as Waymo’s exclusive booking partner in Austin and Atlanta. Now, he’s teaming up with promising AV startups that are racing to get to market. Khosrowshahi is offering them cash, operational know-how, and access to riders, all in the hopes of ushering tens of thousands of robotaxis onto the platform. All told, the company has committed roughly $10 billion, according to a Financial Times analysis , as an equity investor and prospective customer to some 30 AV partners, and says it will be operating in 15-plus markets by the end of 2026. “We get to work with everybody in the ecosystem. We get to see all of the different approaches to autonomy as well,” Khosrowshahi says. “And when you’re operating at our scale, doing more than 40 million trips a day, we think the bet that we’re making on the ecosystem is the right bet.” The approach works on paper. But Uber’s future dominance of mobility depends on how well Khosrowshahi nurtures this new AV ecosystem—while shaping it to his own advantage. It also depends on how completely he realizes his super-app quest, ensuring that Uber remains indispensable no matter what kind of cars rule the road. Uber’s first flirtation with self-driving ended disastrously. In 2015, under Kalanick, the company announced a partnership with Carnegie Mellon University that led to the establishment of an internal AV group. To accelerate development, Kalanick hired the star engineer Anthony Levandowski, previously a leader at Waymo, Alphabet’s self-driving unit. The hire quickly became an extraordinarily costly entanglement: In 2017, Waymo accused Levandowski of the “calculated theft” of roughly 14,000 confidential files, kicking off a high-profile intellectual property dispute. Levandowski was sentenced to 18 months in prison, and Kalanick resigned as CEO. Under Khosrowshahi, Uber settled Waymo’s civil lawsuit, giving Alphabet an equity stake of about $245 million in the ride-hailing company, pre-IPO, and paving the way for a more collegial relationship. Later, Khosrowshahi sold off Uber’s AV group to the freight specialist Aurora. Uber wasn’t the only early AV aspirant to temper its ambitions. Apple canceled its internal project, GM shut down Cruise, Lyft-backed Argo AI folded, and even a partnership with OpenAI couldn’t save Ghost Autonomy. The outlier in these tales of woe , of course, is Waymo. Its vehicles are now six times safer than the average human driver, according to a Morgan Stanley analysis, and the company has ushered AVs from fantasy to reality. Its robotaxi service is operating in 11 U.S. cities with a fleet of more than 3,000 vehicles. To help introduce robotaxis to the masses, Waymo tapped its former rival. When Waymo expanded its Phoenix service in 2023, it allowed riders to book through Uber’s app. The partnership deepened in 2025, when Waymo launched in parts of Austin and Atlanta and made rides in those cities exclusively available through Uber. (In other cities, like San Francisco and Los Angeles, Waymo rides are available only through Waymo’s own ride-hailing app.) Hailing a Waymo through Uber has become so popular in Austin that locals refer to getting matched with one as “Waymo roulette.” When demand exceeds supply, Uber sends a human driver. This gap between robotaxi supply and peak rider demand is at the heart of Uber’s confidence that it can position itself as an AV-era winner. AV companies face a fundamental challenge: whether to design their systems for base load, when rider demand is low, or peak load, when it’s high. Design for base, and riders will be frustrated with long wait times and high prices during rush hour. Design for peak, and AVs—which are expensive to make because of their chip-based brains, sensors, and unique mechanical requirements—will be idle for long stretches during the day, weighing on balance sheets. Khosrowshahi argues that Uber’s hybrid marketplace helps AV companies monetize every minute for their vehicles. It’s not so bad for human drivers either, in his view. “[AVs are] getting shorter trips in city centers, and our drivers are getting longer, more interesting, and high-value trips,” he says. “You could argue that the AVs are getting the scraps.” (Rideshare drivers in San Francisco and Seattle, however, have rallied against robotaxis.) Uber, Unmanned: Uber is partnering with EV maker Lucid Group and self driving startup Nuro to launch a robotaxi service using Lucid Gravity SUVs. [Photo: Arsenii Vaselenko ] For Uber, adding AVs has only been beneficial. “Our business in Atlanta and Austin, where the hybrid marketplace is working at scale, is growing faster than it is in the rest of the country,” Khosrowshahi says. “And we’re growing really, really quickly in the rest of the country.” As for the prospect of AVs displacing human drivers, Khosrowshahi is laying the groundwork for the transition. He says the company is recruiting fewer drivers in cities where AVs are coming online. It’s Uber’s way of ensuring “that the drivers who are [already] in-market, who are experienced, and who’ve been with us through this whole journey continue to earn,” he explains. That rosy narrative runs counter to the experience of Liza Ramsey, a veteran Uber and Lyft driver who coleads the Atlanta Rideshare Drivers Union and is a member of the Justice for App Workers coalition. She says her weekly income has dropped by about a third since Waymo’s arrival. In her eyes, “it’s Waymo getting the best rides.” Even as Uber risks alienating its drivers, its relationship with Waymo is also looking rocky. Waymo, which intends to move into 20 new cities worldwide over the next six months, hasn’t announced any further collaboration with Uber. In soon-to-launch Nashville, for example, Waymo plans to drive bookings through its own app and, eventually, through Lyft. (Waymo declined to comment for this story.) Khosrowshahi expresses optimism about Uber’s old frenemy: “We continue to work with Waymo constructively,” he says, adding that he sees the partnership extending “for hopefully many years to come.” Some commentators are less diplomatic. “If you read between the lines, I think the relationship’s over,” says Grayson Brulte, an AV adviser and host of The Road to Autonomy podcast. He notes that Alphabet recently tied CEO Sundar Pichai’s compensation to Waymo’s growth. “At the end of the day, what type of company does Waymo want to be? We don’t know. But what we do know is that if you look at the last eight earnings calls, the amount of time that Alphabet spends talking about Waymo has dramatically increased. I think Alphabet views this as a winner.” In a signal of its ambition—perhaps as both a robotaxi maker and a consumer-facing service—Waymo raised $16 billion in new funding in February. Uber, meanwhile, is asserting its independence, too. In late April, Uber’s CTO, Praveen Neppalli, may have tipped the company’s hand when he publicly posted a video on X of a run-in with a Waymo that he described as “scary.” After the AV overtook a bus, he said, it put itself on a collision course with his car. “Big fan of AVs, but perception ≠ judgment. Edge cases matter!” he wrote, referring to the unusual driving scenarios that can confound a robotaxi (and influence public perception of their safety). No one at Uber asked him to delete it. On a quiet suburban street in Mountain View, California—the heart of Waymo territory—I’m sitting in what might be Uber’s most high-profile hedge against Waymo’s disinterest. It’s a three-row Lucid Gravity EV, kitted out with an autonomous system from the self-driving startup Nuro, which is housing the Gravity and a small host of other test vehicles in its office parking lot. Last summer, Uber announced plans with the two companies to deliver at least 35,000 robotaxis for Uber riders over six years. In April of this year, the trio started conducting test drives for select Uber employees with a fleet of close to 100 vehicles in the Bay Area. If all goes well, the robotaxi will launch to the public in the next six months. Nuro’s sensor suite of high-definition cameras, microphones, radar, and lidar (Light Detection and Ranging) sit unobtrusively above and around the vehicle, making for a more subtle silhouette than Waymo’s mad-scientist design. Inside, sunshine filters through the glass roof to a small screen that will serve as an extension of the Uber app and a gateway to systems for music, climate control, and customer support. It all looks nice enough while stationary, but the AV doesn’t yet have regulatory approval for press drives. (Approval came through in mid-May.) So we clamber out and instead hop in the back seat of a Lexus that Nuro has equipped with the equivalent sensors and robot brain. A safety operator sits behind the wheel. Susan Anderson , Global Head of Delivery [Photo: Arsenii Vaselenko ] The Lucid–Nuro partnership will mark the first time that an AV with Uber’s imprint hits the streets, but it’s just one of a flurry of new partnerships. In Las Vegas, Uber riders are already starting to see robotaxis from Motional in the app; AVs from Amazon-owned Zoox will soon join them. (Unlike the Lucid–Nuro partnership, Uber didn’t purchase or play a role in the design of those vehicles.) Deals with Rivian and Stellantis, meanwhile, will take shape over multiple years as those automakers scale their robotaxi production. Some of Uber’s deals are exclusive: Self-driving startup Waabi had been focused on freight but is now working to deliver 25,000 robotaxis just for Uber, where Waabi’s founder was previously an engineer. “It’s more and more apparent to me that there are going to be many, many [AV] players that make it to the finish line here,” says Khosrowshahi. “Our role is about commercializing this technology that ultimately is going to save lives and be the largest revenue generator for this industry.” In Mountain View, the Lexus powered by Nuro’s robot brain takes us on a meandering trip through commercial avenues and residential streets. When we make a left turn at a stop sign, the vehicle brakes after we’ve already crossed in front of a large truck, waiting for its turn. We pause for a moment before Nuro realizes that all is well. Later, the vehicle appropriately exercises caution, this time at a busy pedestrian crossing in the center of town. We wait patiently as a biker passes in front of the vehicle, then a woman holding a child’s hand, and then a skateboarder. Back at Nuro’s offices, where past models of the startup’s quirky passengerless delivery vehicles line the hallways, the co-CEO, Dave Ferguson, sips a coffee and explains the simple rationale for partnering. “If Nuro was setting up our own operations and running our own mobility service, that’s going to take us an enormous amount of time,” he says. “We don’t need to do any of that. We plug into Uber.” Time is of the essence for an AV startup like Nuro, which has spent a decade developing its tech and raised $2.3 billion to support those efforts. It operates a closed-course test track in Las Vegas; it runs a simulation to introduce edge cases; and it performs AV-specific reinforcement learning known as shadow autonomy, in which a human driver controls the vehicle while Nuro runs in parallel, checking its decision against the human’s. In March, the startup completed a “zero-shot” drive through Tokyo in which its system successfully adapted to new terrain, new cultural norms, and even a new orientation, driving on the left-hand side of the road. Sachin Kansal , Chief Product Officer [Photo: Arsenii Vaselenko ] It was an impressive feat, but with an asterisk: There was a safety driver behind the wheel. Nuro and other startups of its generation are theoretically building more modern and efficient AV systems than Waymo, but in one area, Waymo remains indisputably unmatched: the 200 million rider-only miles its Waymo Drive system has logged to date, exposing it to many of the edge cases that still confound younger systems. Teaming up with Uber gives Nuro license to focus on safety and reliability while the ride-hailing company takes care of commercialization. In January, Uber tasked Danny Guo, VP of engineering and science, with leading a new group focused on self-driving data, known as AV Labs. Guo acknowledges the obvious when we sit down at Uber HQ in San Francisco. “Waymo is way ahead of everybody else,” he says. AV Labs aims to close the gap as quickly as possible through data collection and sharing. The plan is to leverage Uber’s vast network to generate the kind of data on driving edge cases and real-world messiness that AV startups need to level up. That would make Uber an even more attractive partner—and make its own AV fleets all the more powerful. It’s a lofty goal with humble beginnings. At the start of the year, Guo and his team bought two Hyundai Ioniq 5 EVs in order to outfit them with the sensors necessary to collect data. At Uber’s garage, they set to work drilling holes in the B-pillars of the cars—the roof support structure between the front and rear doors—and Guo badly cut his hand. “Obviously this doesn’t scale,” he says ruefully. By summer, though, Uber expects to have added 50 such vehicles to its garage. In the meantime, it’s been logging data from thousands of regular cars as they conduct paying Uber trips. For all its AV investments and partnerships, Khosrowshahi is focused on keeping users hooked on its ever-expanding roster of super-app services. He says he doesn’t even really think of Uber as a ride-hailing company anymore. When he joined, Uber’s revenue was roughly 90% rides and 10% new ideas, like food delivery. “Now, the Uber Eats business has gone from experiment to a business that’s as large as mobility,” he says, in terms of gross bookings. “And if it continues on that path—I see it in terms of getting into grocery and retail, local delivery of all kinds—I think it can be bigger than the mobility sector.” Uber’s most important asset in the coming era of robotaxis will likely be its customer relationship, which travel is designed to strengthen. “If that deteriorates, because AVs have their own experience and consumers all of a sudden want to download the app from Waymo or Tesla, it significantly eats at [Uber’s] ability to have a significant portion of this future,” says Reilly Brennan, partner at seed-stage fund Trucks Venture Capital. Uber One, the company’s four-year-old membership program, which continues to grow at 50% year over year, is at the center of the strategy. Members pay $10 a month to get waived delivery fees, credits back on rides, and more. For the company, the program is a way to knit together the pieces of its everything-app puzzle and cross-sell new offerings. “With Uber One, we take a short-term hit on profits, but Uber One members spend three times more than nonmembers,” Khosrowshahi says. “They’re using multiple products as well. From a long-term standpoint, I think of it as our version of Amazon Prime.” (Like Prime, it’s also come under scrutiny by the Federal Trade Commission, which sued Uber last spring , saying the company made canceling Uber One “extremely difficult.” The trial is scheduled for 2027; Uber rejects the claims.) The travel launch underscores Uber One’s value: Members save 20% on hotel bookings. Would Uber look beyond hotels to travel categories like flights? “Definitely,” says Khosrowshahi. Conveniently, travel also positions Uber to defend against AVs’ appeal by playing to the company’s scale and depth, which no AV specialist can match. If Uber is to maintain its dominance, it must be the first app that consumers open when they land in a new city or realize there’s nothing for dinner. Adding flights would certainly pit Uber against a slew of established travel-booking sites. More competitors might sound like more problems, but for Khosrowshahi, it would be just another front in the everything app’s forever wars. “The more value we can add to our user base, and especially the more value we can add to our Uber One user base that’s absolutely exploding, the better for us,” Khosrowshahi says, “whether we’re competing against a Lyft or we’re competing against a DoorDash or a Deliveroo—or, for example, Waymo as well.”
- Cadence Stock Rises as It Launches AI Robot to Design and Check Chips
Cadence Stock Rises as It Launches AI Robot to Design and Check Chips Barron's
Score: 49🌐 MovesJun 1, 2026https://www.barrons.com/articles/cadence-stock-price-ai-robot-chip-6696045d?mod=barronsgooglenews - SoftBank offers €75 billion to help build Europe’s biggest data centre project
SoftBank's investment will start with 3.1GW of data center capacity by 2031, before expanding to a target of 5GW.
- Chinese AI startup MiniMax unveils M3 as listing nears
M3 processes data 5x faster than its predecessor while using one-twentieth the computing power.
Score: 48🤖 ModelsJun 1, 2026https://www.techinasia.com/chinese-ai-firm-minimax-shares-jump-54-hong-kong-debut - Dr. ChatGPT is getting remarkably good at diagnosing health problems - but actual doctors are still better at weighing treatment options
Uncertainty is common in medicine, and AI isn’t very good at navigating it.
- Revolut, Wayve and Elevenlabs join European tech sovereignty push
The founders behind some of Europe’s biggest technology success stories, including Revolut, Wayve and ElevenLabs, have launched a new push for European tech sovereignty as the continent seeks to build homegrown rivals to Silicon Valley. More than 100 startup founders and chief executives have joined a new ‘built in Europe’ campaign spearheaded by venture capital [...]
Score: 48🌐 MovesJun 1, 2026https://www.cityam.com/revolut-wayve-and-elevenlabs-join-european-tech-sovereignty-push/ - AI Data Center Supplier Fluence Soars On Nvidia Partnership
A new power architecture from Fluence, nVent and Siemens aims to make Nvidia's AI data centers speedier and more efficient. The post AI Data Center Supplier Fluence Soars On Nvidia Partnership appeared first on Investor's Business Daily .
Score: 48🌐 MovesJun 1, 2026https://www.investors.com/news/ai-data-center-supplier-fluence-soars-nvidia-partnership/ - Amazon's AI jackpot: Its $8 billion Anthropic holdings are now worth $74 billion
Amazon's AI jackpot: Its $8 billion Anthropic holdings are now worth $74 billion Business Insider
Score: 48🌐 MovesJun 1, 2026https://www.businessinsider.com/amazon-anthropic-stake-skyrockets-ai-startup-ipo-2026-6 - Google Gemini Omni will generate videos with recognizable superheroes if you know how to craft the right prompts, but this is bad news for DC, Marvel, Disney, and probably you
It's easier than you think to create AI Omni videos featuring your favorite characters, but be warned that Google probably won't protect you
- Enterprise Software Leaders Build AI Agents With NVIDIA
NVIDIA today announced new software, open source models and partnerships with the world’s leading software platform providers to build autonomous AI agents for industries and enterprises across engineering, healthcare, software development and business operations.
Score: 48🌐 MovesJun 1, 2026https://nvidianews.nvidia.com/news/enterprise-software-leaders-build-ai-agents-with-nvidia - Uber is bringing its robotaxi push to Europe with a new testing program
The ride-hailing company is partnering with Israeli AI startup Autobrains and chipmaker Nvidia to deploy autonomous vehicles in Germany, pending regulatory approval
- AirTrunk to invest $21 billion in India data centre
AirTrunk to invest $21 billion in India data centre Reuters
Score: 48🌐 MovesJun 1, 2026https://www.reuters.com/world/india/airtrunk-invest-21-billion-india-data-centre-2026-06-01/ - OpenAI starts with infrastructure robots but aims for "everyone having a personal robot doing anything they need"
OpenAI is building a robotics team again, five years after shutting the division down. The team grew out of the world simulation research program. CEO Sam Altman's long-term goal: a personal robot for everyone. In the near term, robots will help build infrastructure. The article OpenAI starts with infrastructure robots but aims for "everyone having a personal robot doing anything they need" appeared first on The Decoder .
- Nvidia picks Unitree for humanoid robot platform as Chinese startup eyes IPO
The U.S. chipmaker's first publicly available humanoid robotics system will use humanoids from Chinese startup Unitree.
Score: 48🌐 MovesJun 1, 2026https://www.cnbc.com/2026/06/01/nvidia-unitree-humanoid-robotics-system-researchers.html - Nvidia's new world model helps robots navigate the world
Nvidia unveiled Cosmos 3, an open AI world model designed to help robots, autonomous vehicles and other physical systems better understand and predict real-world environments. Why it matters: Nvidia is continuing its move beyond chips into AI models and software, positioning itself to become a foundational platform for physical AI development. Driving the news: Nvidia says it trained Cosmos 3 on 20 trillion tokens of multimodal data, including nearly a billion images, 400 million real and synthetic videos, ambient audio, text and action data from humans and robots. That action data is what makes Cosmos different from a regular video generator. It's meant to model how machines move, not just how scenes look, Ming-Yu Liu, VP of Nvidia's Cosmos Lab, told Axios. Autonomous actions are key. Developers can use Cosmos 3 to simulate actions in physical environments, then build task-specific models for robots and other machines on top of it. Cosmos 3 is designed to generate action data — such as robot joint angles, gripper positions and trajectories — that can help train machines to navigate and manipulate the physical world. Between the lines: Cosmos is an open model, similar to its early Nemotron family, making it easier for hardware makers to customize Cosmos to their needs and ensure that future versions more closely align to the needs of the industry, Liu said. Nvidia is also establishing a coalition of companies supporting the effort. Initial partners include Agile Robots , Black Forest Labs and Runway. Nvidia says Cosmos can generate rare or dangerous scenarios — such as robot collisions or unusual road events — that are difficult, expensive or unsafe to capture repeatedly. Zoom in: Nvidia is releasing two versions immediately: a "super" model for tasks requiring high physics accuracy, such as training robots and autonomous vehicles, and a "nano" model that can generate results in fractions of a second. An "edge" model that can run locally is coming soon, Nvidia said. Zoom out: World models have become a key growth area for AI as companies increasingly want to take the smarts of chatbots and agents and allow them to perform real-world tasks. Among the hot startups in this area are Fei-Fei Li's World Labs and Yann LeCun's AMI Labs. "Ultimately what a world model wants to achieve is to help physical agents to become more generalizable," Liu said. "To become more generalizable, you need to understand the world so you understand how it works, so you can make a plan." Bottom line: Nvidia's bet is that the next wave of AI won't just answer questions or generate images — it will need to predict, simulate and act in the physical world, and Nvidia wants its open models and infrastructure to be the place developers start.
- US Humanoid Robots Being Tested in Ukraine War
The robots are also targeted for industrial work settings.
Score: 47🌐 MovesJun 1, 2026https://aibusiness.com/robotics/us-humanoid-robots-being-tested-ukraine-war - This startup plans to deploy humanoid robots in Ukraine battlefield within 18 months
This startup plans to deploy humanoid robots in Ukraine battlefield within 18 months
- Nvidia's Nemotron 3 Ultra becomes the smartest open US model, but China still leads
According to benchmark platform Artificial Analysis, Nvidia's new Nemotron 3 Ultra is the most capable open AI model from the US to date. The article Nvidia's Nemotron 3 Ultra becomes the smartest open US model, but China still leads appeared first on The Decoder .
Score: 47🤖 ModelsJun 1, 2026https://the-decoder.com/nvidias-nemotron-3-ultra-becomes-the-smartest-open-us-model-but-china-still-leads/ - OpenAI Could Release Internal Tool That Would Weaken Nvidia’s Software Advantage
OpenAI Could Release Internal Tool That Would Weaken Nvidia’s Software Advantage The Information
- Meta is Reportedly Creating a New AI Wearable. Here’s What It Can Do.
Meta is Reportedly Creating a New AI Wearable. Here’s What It Can Do. entrepreneur.com
Score: 46🌐 MovesJun 1, 2026https://www.entrepreneur.com/business-news/meta-is-reportedly-creating-a-new-ai-wearable - Your creative work, supercharged: Adobe and NVIDIA partner to deliver powerful experiences with RTX Spark
Whether you’re editing a film, retouching an image, or building a 3D scene from scratch, you need your creative tools to keep up with what you’re dreaming up. We’re excited to share that Adobe is partnering with NVIDIA to optimize our creative apps like Photoshop and Premiere with NVIDIA’s all new RTX Spark superchip. Adobe Premiere and Photoshop empower you […] The post Your creative work, supercharged: Adobe and NVIDIA partner to deliver powerful experiences with RTX Spark appeared first on CXOToday.com .
- AI-Powered drug discovery could transform treatment development for Alzheimer’s, Parkinson’s and other brain disorders.
Researchers are increasingly using AI to accelerate the search for treatments for neurological conditions such as Alzheimer’s, Parkinson’s, and motor neurone disease (MND). By analysing large volumes of patient and biological data, AI could help reduce drug discovery timelines and improve how scientists identify potential treatments.
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Intel Corp. today announced that more than 130 design engagements for its Series 3 processor family for edge artificial intelligence and edge computing designs and also unveiled a new open-source framework called OpenVINO Physical AI to address what it calls a deployment gap between robotics models built in the lab and fleets running on factory […] The post Intel touts 130-plus edge design wins for Series 3 and launches OpenVINO Physical AI framework appeared first on SiliconANGLE .
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Score: 45🌐 MovesJun 1, 2026https://www.miamiherald.com/news/politics-government/state-politics/article315966940.html - Ottawa to launch new startup investment fund as part of AI strategy, source says
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Score: 45🌐 MovesJun 1, 2026https://www.theglobeandmail.com/business/article-ottawa-ai-strategy-startup-investment-fund/ - Introducing the Qualcomm Dragonwing IQ10 RRD: A full-stack robotics reference design
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Score: 45🌐 MovesJun 1, 2026https://www.qualcomm.com/news/onq/2026/06/dragonwing-iq10-robotics-reference-design - RazorpayX Launches India’s First 24/7 Autonomous AI Banking Agents
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Score: 44🌐 MovesJun 1, 2026https://newsroom.intel.com/data-center/intel-puts-agentic-ai-xeon-6-networking-ai-systems - Uber and Autobrains target Munich for robotaxi rollout
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Score: 44🌐 MovesJun 1, 2026https://www.reuters.com/technology/uber-autobrains-target-munich-robotaxi-rollout-2026-06-01/ - The Pentagon is pushing for AI on the battlefield. This top military leader is urging caution
The Trump administration is pushing to unleash the power of artificial intelligence for the U.S. military while facing calls to put up guardrails around the rapidly developing technology from some companies — and even notes of caution from top leaders in uniform. Adm. Frank Bradley, head of U.S. Special Operations Command, told attendees of a recent annual special forces conference in Tampa, Florida, that troops “have to be very careful about how we come to ( AI ’s) employment and its inspiration into the delivery of lethality.” Bradley said he can see a future where AI determines what targets to hit but that “we, as humans, have to have the confidence that … it’s going to deliver violence only where we intend it to be delivered.” The remarks from Bradley, who oversees the units that handle the military’s most difficult and dangerous operations, about the need to ensure safeguards come as his boss, Defense Secretary Pete Hegseth, is pushing to rapidly evolve the military through AI. It is a push that has led to clashes with some tech companies worried about safety measures. Hegseth has insisted that the Pentagon be allowed to use the technology any legal way it sees fit. He told an audience of SpaceX employees in January he would reject any AI models “that won’t allow you to fight wars” and that his vision for the technology was systems that operate “without ideological constraints that limit lawful military applications.” AI’s use in the military is part of the Republican administration’s larger push to grow the capability it sees as a unique American advantage even as it faces pressure to ensure responsible safeguards. President Donald Trump abruptly called off plans to sign a new AI executive order hours before an expected White House ceremony over concerns the measure could dull America’s edge on AI technology. “We’re leading China, we’re leading everybody, and I don’t want to do anything that’s going to get in the way of that lead,” Trump told reporters. Two differing AI worlds within the military When asked about Bradley’s remarks, a Pentagon official said efforts are focused on using AI to create “functional battlefield tools” that can help troops come up with and identify targets more quickly and, as a result, speed up strikes on those targets. The official spoke on condition of anonymity to offer more candid remarks. Officials at U.S. Special Operations Command talked about AI not as something that will help eliminate targets but rather as a tool that can offer troops more time to focus on their mission. Sgt. Maj. Andrew Krogman, the top enlisted official for U.S. Special Operations Command, said at the conference that he sees AI handling administrative tasks to free up operators or helping modernize how the command does business. Melissa Johnson, the top acquisition official for the command, said AI should be “reducing the cognitive workload on mundane tasks.” “We’re leveraging AI more and more, but it’s not to replace operator judgment, it’s to enhance it,” she added. Helen Toner, interim executive director at Georgetown University’s Center for Security and Emerging Technology, said those differing descriptions about AI in the military are both true. “There are a huge number of potential uses for AI in these kinds of bureaucratic settings, which the U.S. military is actively exploring,” Toner said. Lt. Gen. Michael Conley, head of Air Force Special Operations Command, told a congressional committee in May that his troops used AI “bots” to convert top secret intelligence down to a secret classification within seconds to make it easier to share with drone operators on the ground during the Iran war. However, there is no doubt that AI also is helping the military find and strike targets. The center that Toner oversees published a case study two years ago on how the Army’s 18th Airborne Corps used AI to target artillery strikes “just as efficiently as the best unit in recent American history” and with 2,000 fewer service members. “Human operators are still the ones making crucial decisions, but AI … is making it possible to operate with a new level of speed and scale,” she said. AI safety has created a public dispute between the Pentagon and Anthropic The clash over the integration of AI into the military, who ultimately controls the technology and the ethics behind its use has played out in unusually public fashion during the Trump administration. Hegseth and Anthropic are embroiled in a bitter contract dispute over the company’s concerns about unchecked government use of its technology, including the dangers of fully autonomous armed drones and of AI-assisted mass surveillance that could track dissent. After CEO Dario Amodei refused to back down over concerns about how the chatbot Claude is used in classified Pentagon networks, both Trump and Hegseth accused Anthropic of endangering national security. The Pentagon formally labeled the San Francisco-based company a supply chain risk — ending its $200 million defense contract and prohibited other government contractors from working with the company. Anthropic sued, claiming the Pentagon is illegally retaliating by stigmatizing the company with a designation meant to protect against sabotage of national security systems by foreign adversaries. The Pentagon has since emphasized its turn to Anthropic rivals — including Google, OpenAI and SpaceX — to secure AI technology that can “augment warfighter decision-making in complex operational environments.” Toner, a former OpenAI board member ousted after a clash with CEO Sam Altman, said “the general public often seems to underestimate the caution with which the U.S. military approaches new technologies.” “Commanders want their missions to succeed, which means both being able to create lethal effects at scale, and avoiding unintended effects like friendly fire, civilian casualties, or simply identifying targets incorrectly,” she said. —Konstantin Toropin, Associated Press