AI News Archive: June 2, 2026 — Part 6
Sourced from 500+ daily AI sources, scored by relevance.
- AI makes it easy to expose holes in Army’s unified network, official says
AI makes it easy to expose holes in Army’s unified network, official says Breaking Defense
Score: 34🌐 MovesJun 2, 2026https://breakingdefense.com/2026/06/ai-makes-it-easy-to-expose-holes-in-armys-unified-network-official-says/ - How foundation models will revolutionize robot swarms
How foundation models will revolutionize robot swarms EurekAlert!
- World-first spintronic p-bit on silicon chip points toward larger AI-ready p-computers
A Japan–U.S. collaborative research team has demonstrated the world's first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting of researchers from Tohoku University and the National Institute of Standards and Technology, experimentally verified the operation of the p-bit, a key building block for probabilistic, or p-, computers. The achievement provides a pathway toward large-scale spintronic p-computers for applications such as AI and machine learning.
- NRO nominee says commercial space, AI are reshaping spy satellite agency
NRO nominee says commercial space, AI are reshaping spy satellite agency SpaceNews
Score: 34🌐 MovesJun 2, 2026https://spacenews.com/nro-nominee-says-commercial-space-ai-are-reshaping-spy-satellite-agency/ - The smartest AI teams are moving past chatbots
Subscribe • Previous Issues Your Enterprise Data Deserves Better Than a Chatbot Large language models and their multimodal variants remain the foundation models most people encounter first. That makes sense. Text, images, audio, and video cover a huge range of knowledge-work tasks, and today’s chatbots are far more capable than the text-only systems many people first tried. Continue reading "The smartest AI teams are moving past chatbots" The post The smartest AI teams are moving past chatbots appeared first on Gradient Flow .
- How do you teach a robotaxi London? Waymo explains
Before Waymo launches a commercial robotaxi service in London, it needs to teach its vehicles more than just how to drive on the left, writes Saskia Koopman. Waymo, the Alphabet-owned autonomous driving company, has spent months testing vehicles across the capital ahead of a planned commercial launch. The robotaxi giant has been testing in London [...]
Score: 34🌐 MovesJun 2, 2026https://www.cityam.com/how-do-you-teach-a-robotaxi-london-waymo-explains/ - Robot stocks rise after Huang signals support for Korea’s robotics sector
Robot stocks rise after Huang signals support for Korea’s robotics sector 매일경제
- Introducing Rubrics: Build Agents that Evaluate and Correct Their Work
Agents that evaluate and correct their work
- “With Claude Mythos, a single hacker suddenly has a lot more ways to attack.”
ETH Professor of Cyber Security Florian Tramèr on the risks of Anthropic's AI model.
- AI may already be adding hundreds of billions to the economy—without showing up in the data
AI may already be adding hundreds of billions to the economy—without showing up in the data Fortune
- Arm, IBM and HPE soar as Nvidia chip 'reinvention' extends software rally
Shares in software compares surged ahead on Monday.
Score: 34🌐 MovesJun 2, 2026https://www.cnbc.com/2026/06/01/arm-ibm-and-hewlett-packard-nvidia-chip-extends-software-rally.html - Wall Street inches to more records thanks to booming AI stocks
Wall Street inches to more records thanks to booming AI stocks Toronto Star
- Workday launches Agent Passport to test and monitor AI agents in the enterprise
Workday launches Agent Passport to test and monitor AI agents in the enterprise InfoWorld
- Microsoft tells engineers to stop using Anthropic's Claude
Microsoft is discontinuing most internal Claude Code licenses by June 30, directing engineers to its own GitHub Copilot CLI. This move follows Claude Code's unexpected popularity, which reportedly undercut Microsoft's homegrown product. While officially citing toolchain unification, the timing suggests cost-cutting amidst an industry-wide AI spending crunch.
- GitLab Stock Rises as the Software Company Raises Guidance on AI Business Momentum
GitLab Stock Rises as the Software Company Raises Guidance on AI Business Momentum Barron's
Score: 33🌐 MovesJun 2, 2026https://www.barrons.com/articles/gitlab-stock-guidance-earnings-fb52154d?mod=barronsgooglenews - LLMs help robots understand vague instructions and focus on key details
Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics of their job. The catch: It's a robot. To teach them, you might want to play a game of "show and tell"—that is, physically showing how to do something a few different ways, while also explaining what you're doing.
- Netskope introduces AI Command Center to monitor and secure enterprise AI sprawl
Netskope this week launched AI Command Center, a new offering in its Netskope One secure access service edge (SASE) platform that gives enterprises a centralized way to discover, assess, and respond to risks associated with AI applications, models, and autonomous agents. AI Command Center provides visibility into both approved and unsanctioned AI services across an organization, helping security teams identify where AI is used, understand the risks, and automate remediation, according to Netskope. The platform correlates AI-related activity with end users, applications, data, and security policies to provide what Netskope describes as a comprehensive view of enterprise AI usage. “Organizations have adopted AI faster than any security team can manually track, triage, or contain, and the tools nobody approved are almost always the ones carrying the highest risk,” said Sanjay Beri, co-founder and CEO of Netskope, in a statement . “We’re delivering a fundamental shift from security teams that react to AI risk, to security operations that anticipate and eliminate it.” The visibility provided by AI Command Center is enabled by NewEdge, Netskope’s privately built global network that carries customer traffic through more than 120 data centers worldwide before it reaches cloud and AI services. NewEdge serves as the foundation of the company’s Netskope One secure access service edge (SASE) platform. When organizations deploy Netskope, software on end-user devices routes web, SaaS, private application, and AI traffic through the Netskope cloud, allowing the company to inspect activity and enforce security and governance policies. “Enterprise AI adoption has skyrocketed. Data volume and sprawl have created a pervasive visibility gap for security teams. For many organizations, effectively correlating risk across managed and shadow AI assets, user identities, and data stores is difficult,” said Jennifer Glenn, research director for data and information security at IDC, said in a statement . “Addressing this challenge requires moving beyond siloed tools to a unified intelligence layer. Platforms that combine comprehensive AI discovery with real-time risk correlation are essential for enabling security operations to anticipate, prioritize, and autonomously eliminate AI-fueled threats at the speed the landscape demands.” In a blog post accompanying the announcement , Netskope said enterprises are struggling to keep pace with the rapid growth of AI technologies and the risks they introduce. “Security teams know AI is everywhere,” wrote Rich Beckett, senior product marketing manager at Netskope. “What they don’t know is exactly where, what is managed, unmanaged, or personal, what data it touches, who has access, and whether any of it is creating risk.” Beckett also noted in the blog that organizations need visibility not only into AI applications but also the models, agents, and data interactions that power them. Pulling from Netskope’s AI Risk and Readiness Report , “3% of organizations have deployed AI tools. Only 7% govern them with real-time policy enforcement. 94% are making AI security decisions with an incomplete picture of their environment, and 88% cannot reliably tell whether an employee is using an authorized corporate AI account or a personal one on the same platform,” Beckett explained. Netskope said AI Command Center is intended to help organizations move beyond simple AI application discovery to gain a more complete understanding of how AI technologies are being used across their environments and what risks those technologies may introduce. Netskope One AI Command Center is generally available today.
- World Cup Will Be Patrolled by Security Robodogs
"Well, that puts a chill down my spine." The post World Cup Will Be Patrolled by Security Robodogs appeared first on Futurism .
Score: 33🌐 MovesJun 2, 2026https://futurism.com/robots-and-machines/world-cup-patrolled-security-robodogs - Cars24 Launches Dedicated AI Labs With $20 Million to Back Tech Founders
Cars24 invests $20M in AI Labs with OpenAI & AWS to build products & fund startups. Discover their vision for AI in car platforms!
- Merge Launches Agent Handler on the Microsoft Agent Store, Expanding Agent Connectivity Across the Microsoft 365 Ecosystem
Merge Launches Agent Handler on the Microsoft Agent Store, Expanding Agent Connectivity Across the Microsoft 365 Ecosystem USA Today
- Erin Brockovich targets data centers. Why they're controversial
Erin Brockovich targets data centers. Why they're controversial USA Today
- Veto of Maine Data Center Moratorium Bill Carries Lessons for Developers
As demand for data centers to power AI has exploded, developers have met opposition from officials and community groups concerned about their impact on electricity prices, water and quality of life. Maine is one of more than a dozen states to consider some form of moratorium.
- Core42 advances U.S. AI infrastructure strategy with expanded New York deployment
Core42 has expanded its Buffalo AI cluster from 18MW to 60MW, adding 42MW of AI compute capacity in the United States and further strengthening its global AI infrastructure footprint.
- AI-native clouds are built on borrowed time and money
AI-native clouds are built on borrowed time and money Computing UK
Score: 33🌐 MovesJun 2, 2026https://www.computing.co.uk/research/2026/ai-native-clouds-borrowed-time-and-money - Holo3.1: Fast & Local Computer Use Agents
Holo3.1: Fast & Local Computer Use Agents
- Powerful AI is making facial recognition better at identifying you
New AI-based facial recognition techniques are reducing false positive and false negative matches.
Score: 33🌐 MovesJun 2, 2026https://theconversation.com/powerful-ai-is-making-facial-recognition-better-at-identifying-you-276743 - Nvidia has a robot partner. It isn’t Tesla.
The robots are coming, from a host of companies.
Score: 33🌐 MovesJun 2, 2026https://www.livemint.com/ai/nvidia-has-a-robot-partner-it-isn-t-tesla-11780363094635.html - AI agents actively ignore EU law to achieve goals, study finds
The best-performing AI agent, Anthropic’s Claude Opus, only complied with EU law in 54% of cases, according to a Dutch non-profit research firm.
Score: 33🌐 MovesJun 2, 2026http://www.euronews.com/next/2026/06/02/ai-agents-actively-ignore-eu-law-to-achieve-goals-study-finds - Stanford Study Finds AI Beats Law Professors 75% Of The Time
A blind experiment found AI won in a matchup between 16 law professors and AI tutors.
- Musk Allies Back Ex-DOGE Staffers Trying to Use AI to Cut Waste
Two former staffers from the Department of Government Efficiency have unveiled a new venture to buy companies and cut waste by implementing artificial intelligence, applying DOGE’s cost-cutting project to the private sector.
- How defensive cyber responds to hockey-stick growth of AI-driven threats
How defensive cyber responds to hockey-stick growth of AI-driven threats Breaking Defense
- A.I.'s Top Use Cases, Trump’s “Game Changer” & A CNN A.I. Lawsuit
A.I.'s Top Use Cases, Trump’s “Game Changer” & A CNN A.I. Lawsuit Puck
Score: 33🌐 MovesJun 2, 2026https://puck.news/newsletter_content/ais-top-use-cases-trumps-game-changer-a-cnn-ai-lawsuit/ - Seres Restructures Budget EV Brand into Saidou Technology with ByteDance AI Cockpit
Seres, the Chinese EV maker best known for its AITO brand co-developed with Huawei, is pivoting its struggling budget strategy by restructuring its loss-making ...
- Anthropic IPO filing 📄, OpenAI on AWS ☁️, Perplexity search code 🔍
Anthropic IPO filing 📄, OpenAI on AWS ☁️, Perplexity search code 🔍
- Tencent Games Unveils 42-Product Roadmap With AI Integration Strategy
Tencent Games showcased 42 products including 15 new titles at its annual conference, highlighting AI-powered game development and global expansion as key strategic priorities.
- The Pope’s AI warning lands in Washington
The Pope’s AI warning lands in Washington
- Singapore factory activity grows at fastest pace since December 2024 on AI demand
Singapore factory activity grows at fastest pace since December 2024 on AI demand The Straits Times
- Computex 2026: MSI Prestige N16 Flip AI+ Announced as Company's First Nvidia RTX Spark-Powered Laptop
MSI Prestige N16 Flip AI+ was announced at Computex 2026 on Tuesday. It is the company’s first laptop developed in collaboration with Nvidia and powered by the new RTX Spark platform. The Taiwanese PC maker has positioned the laptop as a next-generation AI PC that combines Nvidia's full-stack AI platform, RTX technologies, and a 2-in-1 design. The MSI Prestige N16 F...
- Rise of AI slop and ‘pink slime’ journalism poses risk to Australian politics: Experts
Rise of AI slop and ‘pink slime’ journalism poses risk to Australian politics: Experts The Straits Times
- ‘Shadow AI’ is real. Vanta wants to help manage it
“Shadow IT”—people within companies using tech products without any explicit directive or authorization from the top—is nothing new. The phenomenon dates at least to the era when certain daring professionals purchased newfangled gadgets called “PCs” and brought them to the office, well before having a computer on your desk was the norm. But the AI boom has made shadow IT more chaotic than ever. Many employers are pressuring staffers to embrace the technology without being terribly specific about best practices to use it productively and safely. Excited by the possibilities, workers may feed sensitive data into AI tools that are powerful but unpredictable. Even if everyone involved has the best of intentions, an infinite number of things could go awry. Christina Cacioppo [Photo: Courtesy of Vanta] According to Christina Cacioppo, cofounder and CEO of the trust management platform Vanta , about 70% of its 16,000-plus customers have some kind of shadow AI happening inside their organizations. “It’s basically what you’re talking about when someone within the company is charging ahead a new AI tool, and that tool, which might provide a lot of promise and value, hasn’t gone through a formal security review,” she says. Enter a new Vanta tool called the Vanta Agent for Risk. It maps out an organization’s vendors and tools, data and other assets; compliance responsibilities; and controls such as AI policies, aiming to provide a cohesive picture of their relationships and danger zones. The agent “understands all the different things that are happening in your company,” says Jeremy Epling, Vanta’s chief product officer. “Whether they’re third-party vendor risk that’s coming in from the outside, or it’s internal risk [involving] who has access inside the platform to different pieces of data.” [Image: Courtesy of Vanta] More than 400 integrations inform the agent’s reports. “We have over 1,400 tests that are continuously assessing the different security controls in your organization,” says Epling. “Are my [Amazon Web Services] S3 buckets encrypted? Are people doing background checks? Are they doing it on time? Who has access to what? Is it the right level of access? We pull all that data together and then really infuse it with intelligence from the Vanta agent.” The company is also introducing several complementary features, including an agent for third-party risk management, an AI risk library knowledge base, and a scoring system that quantifies risk across financial, brand, and operational impact. More AI, more risks Vanta’s data puts some numbers to the general feeling in the air of an emergent “ builder culture .” Organizations are dispersing product engineering across their teams in a way that’s new, leading to 311% year-over-year growth in builder roles. “GTM engineer” positions are up 1,329%; “legal engineer” ones are up 850%. Many other workers are motivated to try their hands at vibe coding lest they lose their jobs to someone who uses the technology better than they do . As a result of all that building, Epling says, “We’ll have more probably software written in the next year than we will in the last 10 years combined.” More software means more tools from more providers: According to Vanta, AI vendor adoption is 73% higher in companies with builder roles than in those without. Companies are reviewing only 7% of such vendors, however, even though Vanta deems 30% of them as critical or high risk. Ultimately, 88% of risks go unremediated. [Image: Courtesy of Vanta] The agent for risk tool won’t eliminate AI problems on its own. But by offering a continuously updated overview of what’s actually happening within an organization, it provides a starting point that might not otherwise be available. “We still believe in human-in-the-loop and human approval for all those pieces, but it will suggest edits to your policies or to your controls or to other things like that,” says Epling. Both Cacioppo and Epling stress that Vanta’s agent is not intended to stomp out uses of AI that emerge from bottom-up experimentation, which Epling says are “helping companies get more efficient than ever before.” Instead, the goal is to make such ad hoc AI less fraught. Without a way to manage it, Cacioppo says, companies “may not even officially know that [tools] are being used and have had a chance to think about how they’re set up or what sorts of data is going in.” ‘Trust is a defining problem of the AI era’ Vanta’s origin story began at Dropbox, where Cacioppo was once a product manager overseeing a collaborative document-editing tool called Paper . Her responsibilities included dealing with compliance paperwork, a slog—involving rules and regulations with names such as SOC 2 and GDPR —that left her wondering if the process could be improved. Extensive interviews with security professionals convinced her it could. Working with a Dropbox colleague, Erik Goldman, she founded Vanta, which became part of the startup accelerator Y Combinator ‘s Winter 2018 batch. Andrew Reed, a Sequoia Capital partner, led the firm’s investment in Vanta and now serves on its board. He first took notice of the startup when it reached $10 million in revenue without having taken on any venture funding, a rare accomplishment. (As of April, Vanta has grown to $300 million in annual recurring revenue, up from $200 million nine months earlier.) According to Reed, the company’s vision was always bigger than the mundane but useful job of helping organizations wrangle compliance requirements. And as AI spreads, the discipline it helps companies impose on their operations becomes only more essential. “The founding mission statement of Vanta was to help secure the internet,” he explains. “And it turns out that getting people to be compliant with standards and certain certifications is a very compelling way to get their security houses in order. And in this era of agents, the risk profile attached with how you’re interacting with customers, and how you’re doing business on the internet, has fundamentally changed.” AI’s mind-bending capacity to solve old problems but also create new ones goes way beyond the business challenge Cacioppo identified when she grappled with compliance issues at Dropbox. Yet the fact that so many companies agree on the urgency of getting the technology right feels like an opportunity that was made for Vanta to seize. “Trust is a defining problem of the AI era, and these new AI companies are getting more scrutiny, more questions, more security review, more questionnaires, just more, more, more,” she says. “Because we are all excited about their promise, but also a little scared about their capabilities. It’s not 2016 or 2006, when we were more blithely like, ‘Oh, cool new thing—I will just sign up and give it access to my bank account, because it might do something useful.’ That’s very much not the vibe of 2026.”
- This startup is taking on TikTok Shop and eBay Live with AI-powered auctions. Read its $26 million pitch deck.
This startup is taking on TikTok Shop and eBay Live with AI-powered auctions. Read its $26 million pitch deck. Business Insider
Score: 32🌐 MovesJun 2, 2026https://www.businessinsider.com/live-auction-app-tilt-ai-read-pitch-deck-2026-6 - SK, Nvidia chiefs meet again as AI memory race intensifies
SK Group Chairman Chey Tae-won met Nvidia Chief Executive Officer Jensen Huang in Taipei, Taiwan on Monday for talks on artificial intelligence memory cooperation, as high bandwidth memory becomes increasingly central to the global AI supply chain. SK hynix, the chipmaking arm of SK Group, posted photos of the meeting on its official social media account, showing Chey and Huang with senior executives from both companies, including SK hynix CEO Kwak Noh-jung. The meeting took place on the sidelin
- STMicro weighs Crolles fab expansion as AI optics demand rises, CEO says
STMicro weighs Crolles fab expansion as AI optics demand rises, CEO says Reuters
- Anthropic resists sharing financial info with lenders, sources say
Some of the lenders being pitched to buy a slice of the $4.6 billion notes that don’t have a backstop from Broadcom say they haven’t received a detailed look at the AI company’s numbers.
Score: 32💰 MoneyJun 2, 2026https://www.semafor.com/article/06/02/2026/anthropic-resists-sharing-financial-info-with-lenders-sources-say - Meta’s Customer Disservice Bots; Paying For Performance
Meta AI is opening the door for hackers; Does performance marketing work for luxury brands?; and advertisers still don’t trust their agencies much. The post Meta’s Customer Disservice Bots; Paying For Performance appeared first on AdExchanger .
- AI now a driver of profits and GDP, says Nvidia CEO Jensen Huang
Nvidia CEO Jensen Huang declared AI a significant profit and GDP generator, driven by massive compute infrastructure investment. He anticipates billions of AI agents revolutionizing businesses and households. Nvidia's new PC superchip, set for a fall launch, aims to redefine personal computing for the AI era, promising enhanced gaming and AI experiences.
- OpenAI's Sam Altman backtracks on AI job-loss fears, says top AI adopters are hiring more workers
OpenAI CEO Sam Altman has softened his stance on AI-driven job losses, arguing that companies adopting AI most aggressively are often hiring more workers. While acknowledging public anxiety over automation, he said human interaction remains central to business and society.
- What it's really like to run AGI safety at Google DeepMind (and where I disagree with 'doomers') | Rohin Shah
Most people working on AI safety think without a massive effort AI systems will probably end up with goals catastrophically different from humanity’s. Today’s guest, Rohin Shah — head of AGI Safety and Alignment at Google DeepMind, and an AI safety researcher since 2017 — disagrees. “There is no particularly compelling argument that this is the thing that happens by default,” Rohin explains. “There’s a lot of arguments that are suggestive that maybe it could happen, such that you should find it plausible. That’s sufficient to justify a significant amount of effort into averting it, which is why I work in the area I do. But none of them rise to the level of, ‘I’m expecting this to happen by default.'” Take the worry that AIs will accidentally be trained to be deceptive. Sure, it’s possible. But we’re not running reinforcement learning over year-long trajectories — for now, we’re running it over a week at most. The natural prediction is that models learn to grab short-term reward, not that they develop the ambitious long-horizon goals required for convergent power-seeking. What about current examples of models lying and scheming? Rohin has looked into the details, and most don’t really resemble the thing we really fear: a competent AI pursuing an ambitious misaligned goal. Anthropic’s “alignment faking” results, for instance, show a model trying to preserve its trained values against modification, which is arguably what it was trained to do. Rohin also expects we’ll see problems coming. There’s some generalisation risk at the point where AIs become powerful enough to actually take over, but the underlying challenges — overseeing superhuman systems, interpretability — are things we can iterate on now. Host Rob Wiblin pushes back on the case for AI optimism, and they also explore why current alignment success isn’t strong evidence about superhuman systems, what it would actually take to change Rohin’s mind, and where he thinks the doomers go wrong. Learn more, video, and full transcript : https://80k.info/rs26 Check out our new book! https://80k.info/career-guide Chapters: Who’s Rohin Shah? (00:00:00) Rohin thinks we probably won’t get catastrophic misalignment (00:00:49) Safety 'commitments' have severe limitations (00:10:38) Rohin’s team doesn't have a veto and that's OK (00:27:36) Central banks are a promising model for regulating AI (00:33:34) 'Pre-deployment evals' are overrated (for catastrophic risks) (00:37:41) Governance is likely a bigger bottleneck than alignment (00:43:55) Why isn't Rohin trying to pause AI progress? (00:51:44) We'll probably be able to read AI thoughts for years to come (00:54:17) Having to signal concern for safety can divert resources from actually making AI safer (01:09:51) A very underrated GDM paper (01:28:59) Google DeepMind's actual plan for building AGI safely (01:40:29) Why Rohin doubts the intelligence explosion is imminent (01:52:44) How external researchers can positively influence big AI companies (02:21:55) The roles GDM most needs to hire for (02:37:03) How Rohin stays positive (02:42:55) This episode was recorded on December 4, 2025. Our production team includes: Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon Monsour Producers: Elizabeth Cox and Nick Stockton Coordination and support: Katy Moore and Lou Moran Camera operator: Jeremy Chevillotte
- L3Harris, Northrop Win Pentagon Contracts. Karman Bolsters AI Efforts.
DOD awards L3Harris a nearly $500 million contract. Northrop Grumman lands two significant awards. Karman makes AI hire. The post L3Harris, Northrop Win Pentagon Contracts. Karman Bolsters AI Efforts. appeared first on Investor's Business Daily .
Score: 32🌐 MovesJun 2, 2026https://www.investors.com/news/l3harris-defense-stock-contracts-northrop-grumman-karman-noc-lhx-krmn-fjet/ - Absolute Cinema? Martin Scorsese Used AI to Help Storyboard His Next Movie
The storied filmmaker has signed on as an adviser and partner to Black Forest Labs, which has an image-generation tool called Flux