AI News Archive: June 5, 2026 — Part 3
Sourced from 500+ daily AI sources, scored by relevance.
- Cloudflare acquires Vite maker Voidzero for an AI-native web
Cloudflare said agentic traffic has surpassed human traffic for the first time in internet history. Read more: Cloudflare acquires Vite maker Voidzero for an AI-native web
Score: 58🌐 MovesJun 5, 2026https://www.siliconrepublic.com/business/cloudflare-acquires-vite-maker-voidzero-for-an-ai-native-web - Microsoft trained its MAI models on unlicensed web data despite promising "enterprise grade, clean and commercially licensed data"
Microsoft sells its LLM training approach as different from other AI companies. It isn't. The company trained its new MAI models partly on unlicensed web data like Common Crawl, despite claiming they used only "clean and commercially licensed data." Like every other AI lab, Microsoft leans on fair use and puts the burden on site owners to block its crawlers. The article Microsoft trained its MAI models on unlicensed web data despite promising "enterprise grade, clean and commercially licensed data" appeared first on The Decoder .
- The latest Gemma 4 models use a training trick to slash their on-device memory footprint
Gemma 4 models now use quantization-aware training to use less memory while retaining quality performance.
- AI is designing OpenAI's next model in a sign of 'superintelligence': SoftBank's Masayoshi Son to CNBC
SoftBank CEO Masayoshi Son said his forecast of artificial superintelligence arriving in 10 years was "conservative" and thinks it will be here sooner.
Score: 58🌐 MovesJun 5, 2026https://www.cnbc.com/2026/06/05/softbank-masayoshi-son-openai-model-super-intelligence.html - Facebook’s new AI Creator Assistant wants to be your personal content strategist
Meta has launched Creator Assistant, a conversational AI tool built into the Facebook creator dashboard that analyzes your content performance, explains why it worked, and suggests new ideas based on trending content.
- Canadian Prime Minister Mark Carney warns foreign AI platforms can be used against Canadians
Canadian Prime Minister Mark Carney is warning that foreign artificial intelligence platforms could be used against Canadians
Score: 57🌐 MovesJun 5, 2026https://abcnews.com/Technology/wireStory/canadian-prime-minister-mark-carney-warns-foreign-ai-133593115 - China poaches more AI talent from the U.S. as it eyes the next 'super-app'
Tencent Chief AI Scientist Yao Shunyu, who joined the company from OpenAI, said Friday he aims to pursue artificial general intelligence.
Score: 56🌐 MovesJun 5, 2026https://www.cnbc.com/2026/06/05/china-may-move-toward-us-path-on-ai-as-firms-poach-employees.html - AI companies have a responsibility to safeguard models against exploitation, Pentagon chief technology officer says
After Trump's recent executive order on AI, Emil Michael said that the weaponization of models is concerning.
- How Microsoft is bringing OpenClaw to the masses
Hello again, and welcome back to Fast Company’ s Plugged In . Like most tech-company keynotes, the one this week at Microsoft’s Build developer conference in San Francisco featured a few special guests. They ranged from Nvidia CEO Jensen Huang (who’s in a dead heat with OpenAI’s Sam Altman for the distinction of being the industry’s most omnipresent executive) to music/investing duo The Chainsmokers to Mayo Clinic CEO Gianrico Farrugia. But the most intriguing guest star of the bunch was easily Peter Steinberger , creator of the open-source AI agent platform OpenClaw. Steinberger—whose day job , as of February, is at OpenAI—had good reason to take Microsoft’s stage. Among the two-hour-and-22-minute Build keynote’s major themes was the company’s enthusiasm for OpenClaw and desire to make it accessible to a broader audience. The news reflecting that included a new OpenClaw app for Windows and a technology for sandboxing OpenClaw agents—or “claws”—so they can’t wreak accidental havoc with data . “Watching a claw trying to delete all of your desktop files and just fail makes me really happy,” beamed Steinberger. “Because six months ago, that totally would have worked.” And then there are Autopilots, a new type of Microsoft agent. I didn’t catch their OpenClaw connection at first: Microsoft CEO Satya Nadella mentioned it only briefly and elliptically during the keynote address. Though Autopilots incorporate OpenClaw code and functionality, they’re meant to be safe enough for businesses to roll out without fretting about them destroying or leaking proprietary information. They also operate partially in the cloud rather than assuming you’re willing to run them on a computer that’s powered up 24/7. (For many OpenClaw enthusiasts, that machine is a Mac Mini dedicated to the task .) Microsoft says it plans to release many Autopilots. It’s starting with just one, called Scout , that it’s making available as an experimental release for customers who have opted into its Frontier program . The agent’s purpose, says corporate VP Omar Shahine, “is to give people an assistant that can help them take some work off their plate and manage some of the logistical work that a lot of knowledge workers do—organize meetings, stay on top of things you’ve committed to, [get] helpful reminders.” Along with connecting to Microsoft products such as Outlook, Teams, and OneDrive, Scout can operate a web browser to perform mundane but necessary work tasks such as filing expenses and making travel arrangements. Microsoft Scout, the company’s first OpenClaw-based Autopilot. [Image: Courtesy of Microsoft] Shahine has been at Microsoft for more than a quarter century, but he’s only a few weeks into his position overseeing Autopilots. He readily acknowledges that some Microsoft customers, unnerved by reports of OpenClaw agents running amok , regard the platform as a creator of problems rather than a solver of them. “One of the reasons I’m in this job is because I had a different experience,” he says. “I went through a very intensive experimentation phase where I found a lot of success, and I shared that story with a lot of people internally. I think people’s perceptions changed about the capability and potential.” Despite OpenClaw’s risks, Shahine says that many of the customers he’s talked to have been playing with the technology themselves. Eager to adopt it for real tasks, “they just want someone like Microsoft to take away a lot of the operational concerns that they have.” (On Tuesday, 404 Media’ s Jason Koebler reported on an internal Microsoft document citing “make people addicted” as a goal for Scout. Two days later, The Information’ s Aaron Holmes followed with a story saying the document had been Shahine’s and had provoked an irate response from Nadella. In a statement, Microsoft said the goal was not “more screen time” but “more time back,” which does seem like the only outcome that would make the app useful.) Given that agents are the single buzziest aspect of AI, it would be weird if Microsoft weren’t working on something like Autopilots. Or on several somethings: In March, the company announced Copilot Cowork , another flavor of workplace agent that clearly overlaps with Scout’s purview. But it wasn’t a given that it would base Scout and other Autopilots on OpenClaw technology, rather than seeing the platform as a potential threat to its commanding position in workplace productivity . True, it’s been a long time since the company’s instinctive response to every new trendsetting product was to launch its own me-too version—a Zune for every iPod. In the Nadella era , the company has picked its battles more thoughtfully. Once notorious for using its might to smother open standards—a strategy that became known as “ embrace, extend, and extinguish ”—the tech giant has also grown more comfortable participating in ecosystems it doesn’t control. Shahine calls out one of the best such examples: Microsoft’s 2018 adoption of Chromium, the open-source version of Google’s Chrome, as the rendering engine for its Edge browser . “We had our own web browser for a long time, and I think you know how it turned out,” he says. “It was not good for the broader tech community to have to offer web pages that rendered for Internet Explorer and Chrome and Safari and Opera. When the world sort of standardized on two major rendering engines, things got a lot better for everybody.” That’s not to say that this precedent maps perfectly to what Microsoft is doing with OpenClaw. Adopting Chromium may have been laudable, but it was also a last resort: The company did it only after more than 20 years of building its own browsers from the ground up, a tumultuous era that saw it crush Netscape Navigator and then go on to get walloped by Chrome itself. By contrast, agents are still in their infancy. Steinberger launched OpenClaw only last November, and it didn’t capture the industry’s imagination until January. Microsoft is hardly the only tech behemoth that was quick to see an opportunity in OpenClaw. Shahine notes that companies such as OpenAI, Red Hat, and Nvidia (which has its own tech stack, NemoClaw , designed to make OpenClaw safer) have already chipped in to help propel the project forward. Among Microsoft’s specific priorities, he says, is to make OpenClaw’s code base more manageable, so it’s easier to add new features without breaking existing ones. It’s contributing its work on that front back to the open-source project so that everyone benefits. Right now, the number of people who are actually using OpenClaw is likely microscopic compared with those who are aware of its existence but haven’t taken the plunge. The various OpenClaw-related initiatives Microsoft announced at Build could help speed its mainstream use. But agents truly taking off is also dependent on higher-level issues. It won’t happen until teeming masses of people conclude that handing off work to a digital assistant can be a life-changing experience. How long will that take? “I think this calendar year,” Shahine says. “I mean, it’s June and the amount of change that’s happened since January is more than I’ve ever experienced in my career.” When he expands on the question, however, he begins pointing out how much heavy lifting remains before agentic AI lives up to its potential. For example, agents presently have to do much of their work by puzzling out app interfaces and jabbing at on-screen buttons like a human would. It’s an inherently sluggish, complex process. Shahine says it needs to be replaced by more efficient direct app access designed with agents in mind. And that, he adds, is key to agentic AI making economic sense over the long haul. “I don’t think that’s going to happen superfast,” he concludes. “My experience living through the dot-com boom and Web 2.0 is that it took a few years. Some people will start early. Some people will start late.” In other words, even if you aren’t using OpenClaw in some form by the end of 2026, don’t discount the possibility that you will someday—especially if Microsoft and its peers remain as smitten with the platform as they are at the moment. You’ve been reading Plugged In , Fast Company ’s weekly tech newsletter from me, global technology editor Harry McCracken. If a friend or colleague forwarded this edition to you—or if you’re reading it on fastcompany.com—you can check out previous issues and sign up to get it yourself every Friday morning. I love hearing from you: Ping me at hmccracken@fastcompany.com with your feedback and ideas for future newsletters. I’m also on Bluesky , Mastodon , and Threads , and you can follow Plugged In on Flipboard. More top tech stories from Fast Company Trump’s AI order gives Washington a look at frontier models, but not much leverage The government can review powerful new models before they are released, but the executive order stops short of giving agencies authority to slow them down. Read More → These phones take photos that really don’t look like they came from a phone How Leica and Xiaomi balance tradition and technology. Read More → ‘Shadow AI’ is real. Vanta wants to help manage it The trust management platform’s new agent is designed to reveal what’s really going on inside organizations as workers turn into builders. Read More → The DOJ used Palantir to build an app to help find criminals—and then shut it down Internal emails show that DOJ moved to decommission SHIELD, a Palantir-built mobile app used by federal law enforcement to search identity and criminal records databases in the field. Read More → China just gave humanoids a national ID. What could go wrong? Framed as a way to ensure safety and reliability, China’s plan to issue robots ID numbers feels eerily reminiscent of sci-fi surveillance. Read More → OpenAI CEO Sam Altman makes a lot of predictions. Here’s how they’ve fared so far Altman now admits he may have been wrong about the speed and breadth of the white-collar ‘jobs apocalypse.’ Read More →
- Uber’s eye-watering AI bill shows enterprises are ‘still measuring AI success through consumption rather than outcomes’ – and it's warping our perception of ROI and productivity
Uber’s eye-watering AI bill shows enterprises are ‘still measuring AI success through consumption rather than outcomes’ – and it's warping our perception of ROI and productivity IT Pro
- Samsung Health App Gets AI Upgrade Before Rumored Galaxy Watch 9 Launch
AI will help you understand your complex biometric data and what to do with it.
- No one hurt in maritime drone explosion at a Romanian Black Sea port
The maritime incident occurred a week after a Russian aerial drone that was part of an attack on Ukraine went astray and struck an apartment building in Romania's eastern Danube port city of Galati, injuring two people in the NATO member country.
Score: 55🌐 MovesJun 5, 2026https://www.pbs.org/newshour/world/no-one-hurt-in-maritime-drone-explosion-at-a-romanian-black-sea-port - It Sure Seems Like Pete Hegseth Is Losing His War Against Anthropic
Does the U.S. government need Anthropic more than it's willing to admit?
Score: 55🌐 MovesJun 5, 2026https://gizmodo.com/it-sure-seems-like-pete-hegseth-is-losing-his-war-against-anthropic-2000768116 - Florida's lawsuit against OpenAI and CEO Altman treats ChatGPT as a defective product and public nuisance
Florida is the first US state to sue OpenAI and CEO Sam Altman personally over risks to minors, missing age checks, and inadequate safety investment. The 83-page complaint treats ChatGPT as a product subject to liability and threatens billions in penalties. The legal approach could set a precedent for the entire chatbot industry. The article Florida's lawsuit against OpenAI and CEO Altman treats ChatGPT as a defective product and public nuisance appeared first on The Decoder .
- S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic
SpaceX won’t get easy access to billions of dollars from passive investors.
- Google will comb through your Gmail inbox if you ask it while working in Drive
Google is expanding Ask Gemini in Drive by letting users add Gmail threads as sources for AI-powered answers, summaries, and cross-referenced workplace insights.
- Augment Code launches Cosmos to bring agentic AI software development to teams
Augment Code Computing Inc., an artificial intelligence agent platform provider, Thursday announced the launch of Cosmos, a service it says is designed to push beyond the era of individual AI coding assistants and into a more coordinated model for engineering teams. In an interview with SiliconANGLE, Vice President of Engineering Vinay Perneti said that as AI […] The post Augment Code launches Cosmos to bring agentic AI software development to teams appeared first on SiliconANGLE .
- Microsoft identifies seven new ways AI agents can be hacked
Microsoft identifies seven new ways AI agents can be hacked InfoWorld
Score: 54🌐 MovesJun 5, 2026https://www.infoworld.com/article/4181844/microsoft-identifies-seven-new-ways-ai-agents-can-be-hacked.html - OQC, JPMorgan Chase and AMD launch Quantum-AI data centre to explore real-world fintech applications
OQC, JPMorgan Chase, and AMD today announced a research collaboration leveraging a new, dedicated Quantum-AI Data Centre built by OQC in London. JPMorganChase researchers will test near-term quantum...
- GitHub adds new Copilot features as usage-based billing takes effect
GitHub adds new Copilot features as usage-based billing takes effect InfoWorld
- Driverless cars are on the rise, and now we may know why they crash
For the first time, new algorithms may be able to automatically explain why some self-driving cars crash—a question crucial to answer as more autonomous vehicles take to the roads. This new approach, developed by researchers at King's College London, reviews past events to explain why specific instances of failure happened, in the hope that this can be used to make improvements in the future.
- Broadcom’s AI Chip Guidance Raises APAC Supply-Chain Questions
Broadcom’s AI chip revenue is still surging, but its guidance rattled investors and spilled into South Korea, where Samsung and SK Hynix are exposed to the high-bandwidth memory supply chain behind AI infrastructure. The post Broadcom’s AI Chip Guidance Raises APAC Supply-Chain Questions appeared first on TechRepublic .
Score: 54🌐 MovesJun 5, 2026https://www.techrepublic.com/article/news-broadcom-ai-chip-guidance-apac-south-korea/ - Digi Power X Signs AI Colocation Agreement with Leading AI Compute Company for 40 MW Data Center in Columbiana, Alabama
Digi Power X Signs AI Colocation Agreement with Leading AI Compute Company for 40 MW Data Center in Columbiana, Alabama USA Today
- Small Business Owners Are Now Overseeing Entire Teams of AI Agents. Here's What the New Technology Can Do.
Small Business Owners Are Now Overseeing Entire Teams of AI Agents. Here's What the New Technology Can Do. entrepreneur.com
- ByteDance, Alibaba, and Tencent Race for the AI Platform Window
The battle for AI platform dominance among China's three largest internet companies has entered a critical phase, as ByteDance, Alibaba, and Tencent each pursue distinct strategies to capture the emerging AI agent ecosystem....
- Kevin O'Leary says Utah AI data center project will shrink after lawmakers demand cuts
Kevin O'Leary says he will reduce the proposed Stratos AI data center in Utah after state Senate President Adams called for a 75% cut in its footprint.
- Agentic AI hype races ahead as enterprises remain stuck in pilot mode
Most orgs remain trapped between flashy demos and real-world deployment, despite 75% saying adoption is racing ahead
- Perplexity AI Introduces Hybrid Local-Server Inference Orchestrator for Personal Computer: Automatic On-Device and Cloud Task Routing
Perplexity AI Introduces Hybrid Local-Server Inference Orchestrator for Personal Computer: Automatic On-Device and Cloud Task Routing MarkTechPost
- Asana wants every enterprise to have an AI ‘chief of staff’
Asana wants every enterprise to have an AI ‘chief of staff’ IT Pro
Score: 52🌐 MovesJun 5, 2026https://www.itpro.com/software/asana-wants-every-enterprise-to-have-an-ai-chief-of-staff - AI glasses maker Rokid lands Toyota affiliate investment
AI glasses maker Rokid lands Toyota affiliate investment Nikkei Asia
- Zhejiang University Team Creates Visual Reasoning System That Lets Robots 'Think With Their Eyes' — 22x Faster Than Text
Zhejiang University Team Creates Visual Reasoning System That Lets Robots 'Think With Their Eyes' — 22x Faster Than Text Researchers at Zhejiang University, in collaboration with Cornell University, the National University of Singapore, and Xidian University, have developed a breakthrough visual reasoning system that enables robots to "think with their eyes" rather than processing language-based internal monologues. The system, called VisualThink-VLA, achieves a 22.8x speed improvement over text-based reasoning approaches while also delivering higher accuracy.
Score: 52🌐 MovesJun 5, 2026https://pandaily.com/zhejiang-university-team-creates-visual-reasoning-syste-jun2026 - Infineon joins NVIDIA’s MGX AI Factory ecosystem to transform power delivery architecture for next-gen AI server racks
Infineon Technologies has joined NVIDIA’s MGX AI Factory ecosystem to help transform power delivery for next-generation AI data centers. Infineon’s power management solutions will support NVIDIA’s MGX architecture and 800 VDC power architecture, an open, modular reference architecture designed for AI factories in the agentic AI era. 800 VDC MGX-compatible power racks help existing AI infrastructure scale AI compute performance and power density, creating an upgrade path for future AI infrastructure. “As a member of NVIDIA’s ecosystem, Infineon is working with NVIDIA to redefine power delivery systems from the grid to the processor core, which is required for this next phase of AI innovation,” says Adam White, Division President Power & Sensor Systems at Infineon. “As AI models continue to grow in size and complexity, data centers must deliver dramatically more compute performance within the same physical, power, and cooling constraints. Combined with NVIDIA’s modular MGX architecture, Infineon’s power solutions significantly enhance energy-efficient power distribution across the entire data center power flow. We look forward to continuing our work with NVIDIA to bring more MGX-powered innovations to market.” Infineon’s deep expertise in power conversion —from grid to core— leverages all relevant semiconductor materials, including silicon (Si), silicon carbide (SiC), and gallium nitride (GaN). This comprehensive approach helps accelerate the transition toward full-scale 800 VDC architectures. Using Infineon’s GaN technology at switching frequencies close to 1 MHz enables ultra-compact bus converters at an industry-leading efficiency while the combination of Infineon’s proprietary SiC JFET technology and dedicated control ICs are the perfect match for protection and hot-swap functionality of native 800 V server boards. Infineon’s power management solutions convert power from 800 V to 50 V, 12 V or even down to 6 V. As part of the NVIDIA MGX AI Factory ecosystem, Infineon supports the complete 800 VDC power conversion flow down to an intermediate bus voltage and core voltage in systems based on NVIDIA MGX, helping to reduce conversion stages and deliver DC power closer to the rack. This improves power efficiency, simplifies infrastructure, and supports higher-density AI deployments.
- Model routing is a fix for AI overspending. That's a problem for OpenAI and Anthropic
Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a practice called model routing.
Score: 52🌐 MovesJun 5, 2026https://www.cnbc.com/2026/06/05/model-routing-on-ai-is-a-problem-for-openai-and-anthropic.html - AI agents are learning on the job — just not for your whole team
When someone on a team corrects an AI agent — better prompts, better feedback, better context — that improvement disappears the moment a colleague opens the same tool. The correction doesn't transfer, and the next person starts from zero. The problem compounds in multi-agent workflows, where teams expect agents to share context across users and tasks. Without a shared memory layer, every team member effectively trains a different version of the same agent — and those versions never sync. That gap shows up in the numbers. According to Asana's own research, 75% of knowledge workers use AI on the job, but only 5% of companies have reported productivity gains. “Model providers are getting really, really good at improving reasoning and retry loops, but what they’re not good at is bringing the enterprise work context in a way that human beings can reason about for shared memory,” Asana Chief Product Officer Arnab Bose told VentureBeat. Asana had been building toward an agentic platform that centers context and shared memory. Its Agentic Work Management platform ensures that if any team member corrects an agent, that correction applies to everyone else on the team. “That context graph is automatically provided to agents operating inside Asana’s system so you don’t have to have every human member of the team become an expert at prompt engineering or context engineering,” Bose said. Bose said the shared memory architecture matters beyond Asana's own product; it's the design decision enterprises need to make for any multi-agent system. Shared memory also becomes important when enterprises begin moving from simple single agents to multi-agent workflows that need to share context and behaviors. Memories for a multi-agent, multi-platform workflow The models powering agents are stateless by design, so memory becomes a dedicated layer outside of a context window. While this area of AI innovation is marching towards maturity, the question of what gets stored, who controls it, and how it stays consistent when different agents and users write to the same instance remains largely unsolved. This is manageable for use cases with only one user. However, in enterprise agentic workflows, the idea is for agents to work with the entire team. Most platforms have agents that still act for individuals, which leads to task repeating and inconsistent versions of reality and spreading mistakes. Agents could then also contradict each other. Sriharsha Chintalapani, co-founder and CTO of Collate, said in an email to VentureBeat that the lack of shared memory is a major obstacle for multi-agent workflows particularly around consistency. "Agents are sensitive to the quality of their prompts," Chintalapani said. "Someone with a strong understanding of the task will generally get more accurate results than someone less experienced. Partly that’s because they’re able to construct more detailed prompts, but also because they’re able to give the agent better feedback. The agent remembers the corrections it’s received and applies that knowledge to successive prompts. The more accurate the feedback, the better the agent will perform for that user. " He added that organizations should stop treating shared memory solely as a prompt engineering problem and think of building systems that repeat context across every conversation. Neej Gore, chief data officer at Zeta Global, said in a separate email that shared context becomes a living memory that "compounds intelligence across the enterprise." The opportunity may lie in building AI agents that retrieve memory relationally, pulling in relevant context based on what's being asked — an approach Chintalapani says few organizations outside the largest model providers are equipped to build. Personal versus team agents AI agents already proliferate enterprises; it’s just that many of these operate as personal agents doing work specific to individual users. Most prompts start from one person, any files are uploaded by one account, and even for agents living in a company-wide system mostly learn individual user preferences. Most enterprise AI workflow platforms recognize that memory is important but approach it through different lenses. For example, Microsoft’s Copilot takes an individual-first approach by learning a user’s role within the organization, tone preferences and working patterns, which are then stored as personal memories for the agent to apply across the different Microsoft 365 surfaces. For engineering and orchestration teams evaluating agentic platforms, the shared memory question is now a procurement criterion — not just a technical nicety. An agent that learns only for the person using it will require ongoing individual upkeep. One connected to a team-wide memory layer builds institutional knowledge automatically.
Score: 52🌐 MovesJun 5, 2026https://venturebeat.com/orchestration/ai-agents-are-learning-on-the-job-just-not-for-your-whole-team - Google lays off Cloud, cybersecurity staff as Big Tech doubles down on AI investments
Google lays off Cloud, cybersecurity staff as Big Tech doubles down on AI investments
- The European investors set to win big from Anthropic’s $1tn+ IPO
The European investors set to win big from Anthropic’s $1tn+ IPO
- Satya Nadella says AI agents should be treated like employees with identities, permissions, and audits
Satya Nadella says AI agents should be treated like employees with identities, permissions, and audits Business Insider
Score: 52🌐 MovesJun 5, 2026https://www.businessinsider.com/satya-nadella-microsoft-how-to-manage-ai-agents-human-employees-2026-6 - BOE’s Bailey Warns of Possible AI Rationing on Capacity Limits
Bank of England Governor Andrew Bailey suggested that artificial intelligence may need to be rationed because a lack of energy capacity will restrain the ability for every economic sector to deploy the new technology.
- "We pissed off a lot of people": Giant data center plan cut 50% amid protests
Developer felt "beaten up," with "no choice" but to shrink data center.
- ChatGPT is getting better at remembering everything about you
Free users will also be able to use ChatGPT's improved Dreaming feature.
Score: 52🌐 MovesJun 5, 2026https://www.androidauthority.com/chatgpt-dreaming-memory-architecture-improved-3674780/ - OpenGov and Snowflake build a knowledge graph to unify government data and AI
Government software is facing the same information management crisis as every other enterprise sector, and the knowledge graph is emerging as the architectural answer. Nickhil Tekwani (pictured, second from left), senior manager of applied AI at OpenGov Inc., is building a company-wide knowledge graph on Snowflake Postgres as OpenGov’s answer to the information management crisis. […] The post OpenGov and Snowflake build a knowledge graph to unify government data and AI appeared first on SiliconANGLE .
Score: 51🌐 MovesJun 5, 2026https://siliconangle.com/2026/06/05/knowledge-graph-government-data-ai-opengov-snowflakesummit/ - Kevin O’Leary Pleads With Locals to Allow His Massive Data Center If He Shrinks It Down to the Size of One Manhattan
"I have no choice." The post Kevin O’Leary Pleads With Locals to Allow His Massive Data Center If He Shrinks It Down to the Size of One Manhattan appeared first on Futurism .
Score: 50🌐 MovesJun 5, 2026https://futurism.com/artificial-intelligence/kevin-oleary-shrink-data-center - How the FBI and law enforcement plan to deploy drones to keep FIFA World Cup games safe
The FBI prepares to tackle drone security ahead of FIFA World Cup games spanning across the country. NBC News' Kelly O’Donnell goes behind the scenes with the FBI to see how its own drones and partnerships with local law enforcement will keep the events safe.
- Cheaper ChatGPT Ads, Same Black Box; Google’s New AI Search Analytics
Ad-ding Value The price of ChatGPT ads is going down as OpenAI’s partners roll out incentives to drive adoption. Criteo, which became OpenAI’s first ad tech partner in March, recently announced that it’s dropping its minimum investment requirement from $50,000 to $10,000 to “lower the barrier to entry and make testing dollars work,” per an email […] The post Cheaper ChatGPT Ads, Same Black Box; Google’s New AI Search Analytics appeared first on AdExchanger .
- Hinge is pushing AI into dating and its boss says Gen Z needs chatbots to talk
Gen Z spends more than two hours a day less in person with other people than those the same age did 20 years ago, Hinge CEO Jackie Jantos told the BBC. The app is deploying AI profile coaching and conversation prompts to fill the gap, but researchers say dating apps have already overpromised on what technology can do for loneliness.
- How private yards became autonomous trucking’s most promising frontier
ISEE AI and TICO aim for 2027 autonomous yard tractor production. Gen-7 and closed safety case enable hundreds of truck orders soon. The post How private yards became autonomous trucking’s most promising frontier appeared first on FreightWaves .
- Japan could end up an 'AI colony' if it falls behind, digital minister warns
Japan could end up an 'AI colony' if it falls behind, digital minister warns Reuters
- Banks and regulators strengthen defences against AI-powered cyber threats
Government agencies, financial regulators and banks are beginning to strengthen their defences against a new generation of artificial intelligence (AI)-powered cyber threats. The measures do not yet form a single, unified defence framework. However, recent developments involving the Ministry of Finance, the Securities and Exchange Board of India (SEBI), the Indian Cyber Crime Coordination Centre (I4C) and the Reserve Bank Innovation Hub (RBIH) show that the response is moving beyond warnings. Regulators are tightening cyber controls, financial institutions are being asked to prepare for AI-enabled attacks and AI-based systems are already being deployed to detect financial fraud. The meeting that put AI risk on the financial agenda On April 23, 2026, Finance Minister Nirmala Sitharaman chaired a high-level meeting with bank heads and senior officials from the Reserve Bank of India (RBI) and the Ministry of Electronics and Information Technology (MeitY) to discuss AI-related risks to financial systems. The meeting followed growing concern over Anthropic’s Claude Mythos Preview, a restricted-access AI model reported to be capable of identifying and potentially exploiting software vulnerabilities at unusual speed and scale. The Ministry of Finance said on X that the emerging threat was “unprecedented and requires a very high degree of vigilance, preparedness and better coordination across financial institutions and banks”. Banks were urged to take pre-emptive measures to protect their systems, customer data and financial assets. The meeting indicated that AI-enabled cyber risk was no longer being viewed as a distant possibility, but as an operational threat requiring immediate preparation. SEBI moves from warning to action On May 5, 2026, SEBI issued an advisory on advanced AI tools used for vulnerability detection. The regulator explicitly referred to Claude Mythos while warning that such models could identify and potentially exploit vulnerabilities at a speed and scale beyond conventional approaches. SEBI said these capabilities could threaten data confidentiality, application integrity and the reliability of system outputs. The regulator also warned that the interconnected nature of securities markets meant that a breach at one institution could have cascading consequences across exchanges, depositories, brokers, mutual funds and other market participants. The advisory requires regulated entities to: Immediately patch operating systems and applications, or use virtual patching when official fixes are unavailable. Conduct regular vulnerability assessments and penetration testing using conventional and suitable AI-based tools. Undertake comprehensive risk assessments of third-party vendors and application service providers. Document system changes and conduct impact assessments before implementation. Secure application programming interfaces (APIs) through strong authentication, rate limiting and allow-listed connections. Expand Security Operations Centre (SOC) monitoring to cover all systems, including low-priority alerts that might otherwise be ignored. SEBI has also directed regulated entities to accelerate their onboarding to Market SOC, the centralised, round-the-clock security monitoring platform jointly operated by the National Stock Exchange and BSE. Financial institutions must also include the capabilities of advanced AI models as a threat scenario in their periodic risk assessments. Over the longer term, they are expected to develop plans for agentic and autonomous mitigation systems capable of detecting and responding to threats with limited human intervention. A task force for shared cyber resilience SEBI has also constituted a task force called cyber-suraksha.ai, comprising representatives from market infrastructure institutions, qualified registrars and transfer agents, regulated entities and other stakeholders. The task force will examine cybersecurity risks associated with AI models, develop common mitigation strategies, share threat intelligence and response playbooks, report high-priority cyber incidents and assess the security posture of third-party application providers. The initiative reflects a significant shift in regulatory thinking. Cyber resilience can no longer stop at the perimeter of an individual organisation when exchanges, brokers, depositories, fund houses, vendors and payment systems are deeply interconnected. A practical limitation, however, remains. Indian institutions did not have access to Claude Mythos when the advisory was issued. MediaNama reported that MeitY Secretary S. Krishnan had said the government was discussing access arrangements with US authorities under Anthropic’s Project Glasswing. That distinction is important. SEBI is not asking financial institutions to use Claude Mythos to protect themselves. It is asking them to prepare for the broader class of threats represented by advanced AI models through stronger vulnerability management, monitoring, information sharing and risk assessment. AI is already being used against financial fraud The regulatory response is being complemented by AI-led fraud detection already being deployed across the banking ecosystem. On May 12, 2026, the Indian Cyber Crime Coordination Centre, under the Ministry of Home Affairs, and the Reserve Bank Innovation Hub signed a Memorandum of Understanding (MoU) to strengthen the detection of mule accounts and cyber-enabled financial fraud. The agreement enables I4C to share mule-account intelligence and suspect identifiers from its national Suspect Registry with RBIH. The information will be used to improve AI-driven fraud-risk assessment systems, including MuleHunter.ai, which is already being used by more than 26 banks. Mule accounts are bank accounts used to receive, transfer or conceal money obtained through fraud. By analysing account activity and intelligence gathered across institutions, MuleHunter.ai aims to identify suspicious accounts more quickly than traditional rule-based systems. Home Minister Amit Shah described the collaboration as a “next-gen shield against cybercrime”, saying that data from the Suspect Registry would help AI systems detect and eliminate hidden mule accounts. Unlike SEBI’s advisory, MuleHunter.ai is not a direct response to Claude Mythos . It is designed to counter cyber-enabled financial fraud and the misuse of mule accounts. Together, however, these developments show two sides of the emerging response: strengthening systems against AI-accelerated cyber threats while using AI to improve fraud detection. What this means for financial institutions The April 23 meeting, SEBI’s May 5 advisory and the May 12 MoU represent a clear progression from recognising the risk to issuing regulatory directions and deploying operational tools. There is still no single AI cyber-defence framework covering the entire financial system. However, its foundations are beginning to emerge through closer coordination, mandatory cyber controls, shared threat intelligence, centralised monitoring, vendor-risk assessments and AI-assisted fraud detection. The larger challenge will be execution Patching systems, securing APIs, monitoring low-priority alerts, assessing third-party vendors and sharing intelligence across institutions require sustained investment, skilled professionals and clear accountability. AI may be accelerating the cyber threat landscape. Financial institutions and regulators are now beginning to use the same technology to strengthen their defences.
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