AI News Archive: June 3, 2026 — Part 12
Sourced from 500+ daily AI sources, scored by relevance.
- Microsoft launches its own AI models to take on OpenAI and Anthropic
Seven in-house models unveiled at Build 2026 signal Microsoft's push to cut costs and compete directly on the AI frontier as its biggest investees plan to launch record-breaking IPOs.
- Microsoft unveils AI models in push for independence from OpenAI
Microsoft unveils AI models in push for independence from OpenAI
- Microsoft teases new era of AI-driven devices
Microsoft yesterday announced a sweeping slate of AI initiatives, from autonomous workplace assistants and gadgets to Nvidia-powered PCs and a new in-house reasoning model, in a push to move beyond apps and remake computing around AI.
- Microsoft Unveils AI-Powered Windows Features for Developers
Microsoft’s Build 2026 Windows updates add developer setup tools, local AI models, Linux workflows, and agent security controls. The post Microsoft Unveils AI-Powered Windows Features for Developers appeared first on TechRepublic .
- Microsoft Positions Windows as an Operating Environment for AI Agents
The recent Microsoft Build 2026 developer conference highlighted a significant shift in the company's Windows strategy. Rather than presenting artificial intelligence as a collection of standalone features, Microsoft is increasingly positioning Windows as a platform for AI agents.
- Mark Zuckerberg Wants Meta’s New AI Agents to Run Your Whole Business
The new agent is part of the company’s effort to broaden beyond its core consumer business as it spends aggressively on artificial intelligence.
- Hasbro’s New AI Studio Looks to Bring Its Iconic Characters to Next-Generation Experiences
Hasbro launched Sixth Wall, a new artificial-intelligence studio aiming to bring the toymaker’s cast of characters into the new technological era.
- Anthropic Bulks Up Its Enterprise Partner Program Amid IPO Plans
AI giant is solidifying its Claude Partner Network to help demonstrate ‘durability of revenue’ as it nears going public.
- A new AI-powered computer worm could prove to be the stuff of cybersecurity nightmares
A new AI-powered computer worm could prove to be the stuff of cybersecurity nightmares Fortune
- U of T researchers discover method of using AI to create more dangerous computer worms
Any device connected to the internet is at risk, researchers say
- Researchers show how AI-powered worms could wreak havoc on the internet
Researchers created an AI-powered worm that that can spread through networks with no human intervention.
- AI-powered computer worms herald ‘new era’ of cybersecurity threats
Worms with access to AI chatbots can adapt and gather information and then use that against further targets – without the need for human intervention
- Exclusive: Nvidia snaps up Kumo AI in latest acquisition
Exclusive: Nvidia snaps up Kumo AI in latest acquisition Fortune
- GitHub Copilot users get a rude awakening as new AI pricing goes into effect
GitHub Copilot users get a rude awakening as new AI pricing goes into effect Business Insider
- GitHub Copilot Costs Skyrocket As Users Are Pushed to Per-Token Billing
GitHub Copilot Costs Skyrocket As Users Are Pushed to Per-Token Billing PCMag
- Broadcom betting on strong AI chip demand forecasts quarterly revenue above estimates
Broadcom has cemented its position as a key beneficiary of the AI race
- Google pushes water standards amid data center backlash
Facing mounting scrutiny over data center water consumption, Google on Wednesday released a set of guidelines it says should become the industry standard. Why it matters: Communities across the U.S. are increasingly pushing back against new data centers, often citing concerns about water use alongside rising power prices, local air pollution and noise. Google argues that better practices — and more transparency — can help ease those fears. Driving the news: Google's framework calls for: Returning more water to local watersheds than its data centers consume by 2030. Avoiding water-intensive cooling in more water-stressed regions. Helping fund local water infrastructure upgrades. Pursuing alternatives such as reclaimed wastewater. Disclosing water use annually. Reality check: None of these commitments are new on their own. The announcement largely packages together practices Google says it increasingly follows already — while turning them into a formal framework the company hopes others also adopt. By the numbers: In 2024, Google consumed 7.2 billion gallons of freshwater and replenished approximately 4.5 billion gallons of water, which is roughly 64%. What they're saying: "There's so many data center developers, and many of them are not doing it the right way, so people's concerns are legitimate," said Bikash Koley, vice president of global infrastructure at Google. "But there is also a lack of information, and water is one of those where lack of information always breeds distrust." Zoom out: Google joins other tech giants including Microsoft, Amazon and Meta, which have over the past several years announced goals to better manage their water consumption at their data center operations. While those efforts have largely focused on company-specific targets, Google is positioning its guidelines as a framework it hopes the broader industry will adopt. How it works: Data centers need cooling because the chips running AI generate enormous heat. That cooling happens in two main places: first, close to the chips themselves; and second, across the broader building. For the hottest AI chips, companies are increasingly using liquid cooling, which moves heat away from the chips through sealed pipes. Google says its closed-loop systems use very little water because it's continuously recirculated. Yes, but: That heat still has to leave the building. The main tradeoff is between water and power. Evaporative cooling uses water to carry heat away and can require less electricity, while air cooling uses little or no water onsite but can require more electricity. Air cooling consumes on average 10% more energy than evaporative cooling, and roughly twice that on a hot day, said Koley. "It becomes a tradeoff between reducing stress on the grid versus reducing stress on the watershed," Koley said. State of play: Roughly two-thirds of Google's data centers use evaporative cooling, while the remaining third is a combination of air-cooled or using recycled, non-conventional water resources , said Ben Townsend, head of infrastructure and sustainability at Google. Between the lines: Google is making a more nuanced argument than many data center critics. The company argues evaporative cooling can be the better environmental choice in places where water supplies aren't under stress because it reduces electricity demand. Case in point: Google officials pointed to a new data center in India using air-cooling technologies, and the American Southwest generally as examples of where their due diligence into the local water supplies compelled them to use less-water intensive cooling methods. What we're watching: Google executives declined to predict the company's future water use, saying local conditions heavily influence what cooling methods are deployed. Its 2025 numbers are coming out in a few weeks. The bottom line: Google says that the share of its data centers using air cooling is rising, a sign that water concerns are increasingly shaping how companies design the infrastructure behind the AI boom.
- Google says it will replenish more water than it uses at data centers amid public pushback
There’s been a lot of pushback in recent months around the impact of AI data centers on local communities, with the use of water being a key issue for many. Google, in an expension of its “water stewardship” programs, is making commitments that include replenishing more water than it uses at its data center sites. more…
- Google Commits to Water Conservation Around Its Data Centers
Google has announced five commitments to water stewardship as well as $17 million in support of new projects in Nebraska, Iowa and other states, intended to protect water resources in the areas where it operates.
- Microsoft launches AI assistant powered by OpenClaw
The tool could give businesses a taste of what agentic AI looks like at scale.
- Microsoft launches 'Scout' AI assistant that works like executive assistant
While AI bots like ChatGPT or Copilot are only visible to the user, the new tool, dubbed Scout, will appear on internal email and calendar systems as if it were just another helpful employee
- Microsoft launches Scout, an AI agent that works for you even when you’re offline
Microsoft launches Scout, an AI agent that works for you even when you’re offline
- Microsoft reveals OpenClaw-style agent
Microsoft unveils an OpenClaw-style agent, enabling automation and AI capabilities.
- Google says Nest cameras now knows your dog by name
The new Pet Memory feature, powered by Gemini, turns generic motion alerts into named pet notifications for indoor Nest camera owners
- Introducing the Services Track and Partner Hub of the Claude Partner Network
Introducing the Services Track and Partner Hub of the Claude Partner Network
- Labour MP sues Elon Musk’s xAI company over fake sexualised images
Jess Asato was portrayed wearing a bikini in Grok-generated images after she criticised creation of such non-consensual pictures A Labour MP has taken legal action against Elon Musk’s xAI company after saying its Grok tool helped a user produce fake sexualised pictures of her, part of a wave of such images that flooded the social media platform X earlier this year. Jess Asato, the MP for Lowestoft, said in January that seeing herself portrayed by the AI tool as wearing a bikini without her consent was “violating”. Continue reading...
- MP sues Musk’s xAI in UK test case over fake sexual images
Legal claim by Jess Asato challenges whether AI model-makers are liable for what their systems produce
- MP sues Musk's xAI after deepfake bikini picture
Suffolk MP Jess Asato claims the firm's tool Grok was used to create fake images of her in a bikini.
- EU wants households to cut peak time energy use as demand from industry and AI soars
A new law will aim to use artificial intelligence to boost efficient use of power as electricity demand threatens to overwhelm Europe's grids.
- INXM raises €5.7M to tackle enterprise AI execution challenges
INXM, aBerlin-based startup developing AI-powered process automation technology forenterprise and industrial operations, has raised €5.7 million in a pre-seedfunding round as it emerges from stealth. ...
- Gigaton lands $26M to scale autonomous industrial control
Gigaton, a London-based AI companydeveloping control software for energy-intensive industries, has raised $26million in Series A funding. The round was led by Plural, with participationfrom 2150, Sema...
- AI will consume as much water in 2030 as 1.3 billion people
UN scientists warn that the environmental cost of the technology is being underestimated
- AI to double data centre power and water consumption by 2030, UN researchers say
Unless governments heed the rising environmental costs of AI, the rapid rollout could also strain scarce land resources and create mountains of electronic waste, the United Nations University Institute for Water, Environment and Health warned in a report
- AI to Double Data Center Power, Water Use by 2030, UN Researchers Say
Data centers are expected to consume twice as much power and water by 2030 as they expand to meet the surge in demand from artificial intelligence, U.N. researchers said on Wednesday. Unless governments heed the rising environmental costs of AI, …
- EU plans energy standards for data centres amid concerns over soaring power use
EU data centre capacity is expected to more than double in the coming years
- Nvidia CEO highlight role of connectivity in powering next-gen AI infra
Nvidia CEO Jensen Huang has highlighted the growing importance of connectivity in powering next-generation artificial intelligence infrastructure as he joined Marvell chief Matt Murphy on stage at Computex 2026 and described the semiconductor company as a potential "trillion-dollar company". "The next trillion-dollar company, ladies and gentlemen," said Jensen Huang, as soon as he arrived on the stage, drawing applause from the audience on Tuesday. Marvell stocks soared over 30 per cent after the Nvidia chief's announcement, according to various media reports. Earlier this year, Nvidia announced USD 2 billion investment in Marvell Technology to deepen their strategic partnership. Huang on Tuesday highlighted the importance of connectivity in enabling AI infrastructure, with Marvell's technology playing a crucial role in scaling and interconnecting data centres. "Useful AI has arrived. It's the reason why your demand is going through the roof. It's the reason why my demand is going
- Android to warn users of AI-Powered fake calls
Google is rolling out a fake call detection feature for Android that helps identify AI-powered impersonation scams by verifying whether calls from saved contacts actually originate from their devices. The post Android to warn users of AI-Powered fake calls appeared first on MEDIANAMA .
- Google introduces real-time fake call detection for Android devices
Google introduces real-time fake call detection for Android devices
- India Gets Access to Anthropic’s Mythos AI Model Under Project Glasswing
IPO-bound AI giant Anthropic has expanded access to its cybersecurity AI model Mythos under ‘Project Glasswing’ to around 150 organisations…
- Anthropic Expands Project Glasswing to 15 Countries, Brings Claude Mythos to India
Anthropic on Tuesday announced the expansion of its advanced cybersecurity-focused AI model, Claude Mythos Preview, through its Project Glasswing initiative. The San Francisco-based AI startup said that about 150 new organisations across more than 15 countries will now have access to the model. At launch, it was limited to roughly 50 partners. India, notably, is among...
- What is Anthropic's Mythos AI model and why India's inclusion matters?
Through its Project Glasswing initiative, Anthropic will expand access to its Mythos AI model to 150 organisations across more than 15 countries, including India
- Majorana 2: Microsoft Just Used AI to Build a Better Quantum Chip
Majorana 2: Microsoft Just Used AI to Build a Better Quantum Chip YourStory.com
- Google Rolls Out Gemini Thinking Levels Across Platforms With 'Extended' Thinking Mode for All Users
Google on Wednesday began rolling out Gemini thinking levels across platforms, including Gemini's iOS and Android apps, Google’s Vice President of Gemini and AI Studio, Josh Woodward, announced in a post on X. The new thinking modes are available for the Gemini 3.1 Flash-Lite, Gemini 3.5 Flash, and Gemini 3.1 Pro models. The three Gemini models have two thinking lev...
- At Build 2026, Microsoft doubles down on proprietary AI models to win every layer of the AI stack
At Build 2026, Microsoft doubles down on proprietary AI models to win every layer of the AI stack
- Cadence launches industry's first level-5 autonomous AI agent for semiconductor design
Cadence, the semiconductor design software company, has unveiled what it calls the semiconductor industry's first fully autonomous virtual AI design engineer, extending its ChipStack AI Super Agent framework to Level-5 autonomy and marking a new step in the adoption of agentic artificial intelligence across chip development workflows. Announced at COMPUTEX 2026, the new system combines Cadence's electronic design automation (EDA) software portfolio with NVIDIA Nemotron models and NVIDIA OpenShell runtime to automate complex chip design and verification tasks. The company said the platform can significantly reduce validation timelines by enabling engineers to run hundreds of simulations and verification workflows autonomously. According to Cadence, the technology can accelerate register-transfer level (RTL) validation cycles by more than 40 times, reducing a verification process that traditionally takes around five weeks to less than a day. The company noted that NVIDIA engineers collectively run millions of verification tests and consume billions of compute hours annually as part of semiconductor development. From AI assistant to autonomous engineer The latest version of ChipStack moves beyond AI-assisted engineering by allowing the platform to independently execute design and verification workflows while keeping human engineers involved for supervision and guidance. Rather than relying on step-by-step prompts, the system evaluates intermediate results, determines subsequent actions, and iterates toward design completion. The platform can handle tasks including specification analysis, RTL generation, verification planning, formal analysis, simulation, debugging, and design convergence. Paul Cunningham, Senior Vice-President and General Manager of the System Verification Group at Cadence, said customers are increasingly using AI to help engineering teams tackle more complex semiconductor projects. "We're taking the next step—moving from AI that assists engineers to autonomous virtual engineers that can implement real design and verification work," he said. Security and Governance A key element of the announcement is the integration of NVIDIA OpenShell, a sandboxed runtime environment designed for autonomous AI agents. Cadence said the runtime provides governance controls, isolation mechanisms, and managed access to tools and infrastructure, helping organizations protect sensitive intellectual property and design data while deploying autonomous AI systems in production environments. The company said its physics-based design and verification engines help ensure AI-generated outputs remain grounded in signoff-accurate engineering models. Timothy Costa, Vice-President and General Manager of Computational Engineering at NVIDIA, said engineering teams require AI systems that accelerate verification without compromising security, trust, or operational control. Expanding its agentic AI portfolio The announcement builds on Cadence's broader strategy around agentic AI following its acquisition of ChipStack in November 2025. Since then, the company has introduced multiple AI-focused products, including ViraStack AI Super Agent for analog and custom design, InnoStack AI Super Agent for digital implementation and signoff, and AgentStack, an orchestration framework for coordinating AI-driven engineering workflows. The latest release extends those capabilities into fully autonomous operation, reflecting a wider industry trend toward AI agents capable of executing specialized engineering tasks with minimal human intervention. Cadence said the Level-5 autonomous capabilities of the ChipStack AI Super Agent and the AgentStack orchestration framework are expected to be available to early-access customers during the second half of 2026. The launch highlights how agentic AI is moving beyond coding assistants and productivity tools into highly specialized engineering domains. As semiconductor designs become increasingly complex, autonomous AI systems capable of handling verification and validation workflows could play a growing role in reducing development timelines and improving engineering efficiency across the chip industry.
- Snowflake and Anthropic Push AI Agents Into Enterprise Workflows
Snowflake and Anthropic have reported growing enterprise adoption of governed artificial intelligence (AI), as organizations increasingly move AI initiatives from experimentation to production environments. Announced at Snowflake Summit 2026, the companies said enterprises are deploying Anthropic's Claude models through Snowflake Cortex AI to build AI agents and automate business workflows while maintaining governance, security, and compliance controls on enterprise data. The announcement reflects a broader shift in enterprise AI adoption, where businesses are looking beyond pilot projects and seeking ways to integrate AI directly into critical operations without moving sensitive data outside their existing environments. Enterprises Seek AI With Governance and Security Controls According to Snowflake, organizations are increasingly prioritizing AI systems that can operate directly on governed enterprise data while maintaining visibility, security, and compliance requirements. Through the partnership, Anthropic's Claude models are integrated into Snowflake Cortex AI, allowing enterprises to use generative AI capabilities within Snowflake's data environment. The companies said customers can deploy AI agents, run analytics, and automate workflows while keeping sensitive information within Snowflake's platform. "The rapid adoption of models like Claude through Snowflake Cortex AI reflects a broader shift in what enterprises expect from AI," said Christian Kleinerman, Executive Vice President of Product at Snowflake. He said organizations increasingly want AI systems that work directly on governed data rather than operating in isolated environments. AI Agents Gain Traction The companies said customers are using Claude-powered AI capabilities for a range of enterprise use cases, including cybersecurity investigations, financial analysis, customer support, developer productivity, sales intelligence, and life sciences research. Snowflake and Anthropic highlighted adoption across organizations including Block, Carvana, eSentire, Indeed, Notion, and Basis. Anthropic's Claude models provide reasoning and generative AI capabilities, while Snowflake contributes governance, security, collaboration, and data management capabilities required for enterprise deployment. "Snowflake customers are increasingly using Claude to power cybersecurity investigations, accelerate financial analysis, build production data apps, and many other workflows," said Steve Corfield, Head of Global Business Development and Partnerships at Anthropic. The companies said enterprises are increasingly deploying AI directly within existing business systems rather than relying on separate AI environments. Focus on Production-Ready AI A major focus of the partnership is helping organizations build production-ready AI applications and agents. Snowflake said Cortex Agents enables enterprises to build AI systems capable of retrieving, reasoning over, and acting on governed enterprise data. The platform supports use cases such as customer support automation, operational workflows, and business intelligence. The company also highlighted Snowflake Intelligence, an AI-powered assistant designed to help users query enterprise data using natural language and generate actionable insights. Meanwhile, Snowflake Cortex Code, an AI coding assistant built for Snowflake workloads, has become the company's fastest-growing product, attracting more than 7,100 users, according to Snowflake. The coding platform uses AI models such as Claude to help developers create production-ready data pipelines, applications, and workflows from natural language prompts. Deepening Collaboration Around Enterprise AI The announcement builds on an expanded partnership established in December 2025, when Snowflake integrated Claude models into Cortex AI across major cloud platforms and launched a joint go-to-market strategy. The companies said they are now expanding collaboration across multiple areas, including AI agent development, enterprise coding tools, procurement models, and security-focused AI workflows. Snowflake has also joined Anthropic's Claude Marketplace as one of six launch partners, enabling customers to streamline AI procurement and manage AI spending across platforms. In addition, both companies said they are working together on security and responsible AI initiatives aimed at helping enterprises identify vulnerabilities, strengthen governance controls, and deploy AI safely at scale. The announcement underscores a growing trend in enterprise AI adoption, where organizations are increasingly focused on governance, compliance, and operational integration rather than experimentation alone. As enterprises seek to deploy AI across business-critical workflows, partnerships between data platform providers and foundation model developers are becoming increasingly important in helping organizations balance AI innovation with security and regulatory requirements. For Snowflake and Anthropic, the growing adoption of Claude within Snowflake Cortex AI signals rising demand for AI systems that can operate directly on trusted enterprise data while maintaining the controls required for large-scale deployment.
- Snowflake introduces AI and data platform updates for agentic enterprise use cases
Snowflake unveiled platform updates to empower enterprises in building, governing, and scaling AI systems. New features across CoCo, CoWork, Horizon Catalog, and its data platform aim to connect data, context, governance, and AI-driven actions, moving organizations beyond experimentation to autonomous AI.
- DeepSeek nears US$7b haul in first-ever funding round, with backing from Tencent, CATL
Chinese artificial intelligence start-up DeepSeek is finalising its first external fundraising round, securing over 50 billion yuan (US$7.4 billion) at a valuation of just under US$60 billion, according to people familiar with the matter – marking a six-fold leap from its US$10 billion valuation in April. The blockbuster round highlights intensifying global competition and a shifting strategy for the AI breakout star, which had previously resisted external capital. Market-oriented investors and...
- Will China pay for AI? ByteDance’s Doubao loses 6 million users after subscription plan
ByteDance risks throwing away its lead in China’s fierce market for consumer artificial intelligence consumer by monetising too early, according to analysts, after its flagship chatbot Doubao shed millions of users following a sneak peek at paid-subscription tiers. The assessment follows a 6.1 million drop in Doubao’s monthly active users (MAUs) in May – a rare slump for the app since its 2023 launch – after it teased its first-ever subscription options, according to data released on Wednesday...
- Doubao prepares paid subscriptions as ByteDance seeks AI returns
The subscription test comes as ByteDance expands in MaaS and AI shopping.