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Microsoft to unveil new AI models and Windows improvements at Build
Microsoft is heading to San Francisco this week in a bid to win back developers at its Build conference. I've been attending Build since the days when Microsoft called it the Professional Developers Conference, and I can't remember a more pivotal moment. As Microsoft continues to reshuffle its entire business around AI, it's moving Build into a smaller, more intimate venue. Trust in Windows and GitHub is at an all-time low, and this is Microsoft's chance to reconnect with developers and outline the future. Sources tell me that we'll hear about new AI models in Windows, a new reasoning model from Microsoft AI, and a Copilot "super app." But … Read the full story at The Verge.
Update: Nvidia Launches New AI Chip for Windows Laptops
‘We’re in the First or Second Inning’ of AI Revolution, Says Top Analyst
General AI
Michael Dell Says 'We're Thrilled' – CRWV Stock Climbs After Dell Delivers World's First Nvidia Vera Rubin NVL72 Server Rack To CoreWeave
CoreWeave announced on Monday that it is the first AI cloud provider to deploy the Nvidia Vera Rubin platform.
In an agent stack, where would you add heavy reasoning first: state corruption, tool-contract mismatch, or the last external action?
I keep thinking Ring-2.6-1T makes more sense as a containment layer than as a default model for every step. It is a trillion-parameter reasoning model for agent workflows with high and xhigh reasoning-effort modes. If I only added it to one failure-prone point first, I would choose state corruption, a tool-contract mismatch, or the final external action before the agent changes something outside the sandbox. Which failure point would you guard first? submitted by /u/Spirited_Friend_8428 [link] [comments]
New Fed study shows remote work, not AI, is driving higher unemployment in younger workers
The Federal Reserve Bank of New York found companies preferred to hire more experienced workers for jobs that can be done remotely as opposed to non-remote jobs.
Meet the people who actually want AI to replace humanity. (We need to create a new humanism before these “AI successionists” win!)
submitted by /u/vox [link] [comments]
ABB expands collaboration with NVIDIA through integration of DSX Blueprint for AI infrastructure
ABB expands collaboration with NVIDIA Bringing SimReady™ 3D digital assets into NVIDIA Omniverse DSX Blueprint Zurich, Switzerland, June 01, 2026 (GLOBE NEWSWIRE) -- ABB brings SimReady™ 3D digital assets – MV switchgear, electrical distribution equipment, and UPS platforms – into NVIDIA Omniverse DSX BlueprintEngineers validate electrical, thermal, and compute systems in digital twins before ordering prefabricated modules, compressing design cycles for AI factoriesBuilds on October 2025 collabo
This AI weather startup is out-forecasting government agencies
Windborne Systems' newest weather forecasting model beats the best government predictions by days.
DuckDuckGo makes its ‘no-AI’ search engine easier to access as its traffic booms
Alternative search engine DuckDuckGo launches 'no AI' web extensions for Chrome and Firefox users.
AI is blowing up music. How should the Grammys handle it?
Today I’m talking with Harvey Mason Jr., who is CEO of the Recording Academy — that’s the outfit that puts on the Grammy Awards. I last talked to Harvey in 2024, when it was obvious that generative AI would upend the music industry, but still not exactly clear how that would happen. Well, it’s been 18 months since that conversation, and you’re going to hear Harvey say that AI is now “omnipresent” in music production. And Harvey knows what he’s talking about — he is himself a legendary producer who’s worked with everyone from Janet Jackson to Beyoncé. Harvey has said that every session he’s been in recently has had AI in it, and I really wanted to know what that meant — what kinds of tools are musicians using, in what way, and what kind of music is it making for us? Is it any good? Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. Not a subscriber? You can sign up here. Because, as it stands, there’s an expo
Strava blames zero-code AI apps and scrapers as it tightens API access
The popular fitness-tracking platform, Strava, is restricting access to its API as part of efforts to clamp down on AI scraping, as reported earlier by TechCrunch. Developers who want to build an app using Strava's data now need to pay for a flat $11.99 / month subscription. In an update on its developer hub, Strava blames the change on "zero-code AI tools" that allow users to quickly create apps that "hammer" APIs. "We have felt this firsthand - developer applications to our program are up 448% year-to-date, API intermediaries have violated policy terms, and scraping attempts have degraded platform performance for everyone," the company wr … Read the full story at The Verge.
Norse Atlantic Airways Offers Dirt-Cheap Tickets. There’s a Catch
Dozens of people have complained to the Federal Trade Commission about Norse Atlantic Airways’ tech-first customer service operation. Some said they lost thousands of dollars.
Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action
AI doesn't break security. Complexity does
Presented by Snowflake Too often, the history of enterprise security has been a history of making things harder to use. A new threat emerges, a new control gets bolted on, and somewhere in the process, people start working around the very systems designed to protect them. Over the course of my career, I’ve seen firsthand that security adoption rarely fails because people don’t care about security. It fails because the secure path feels harder than the insecure one. In the age of AI, that lesson matters more than ever. AI expands the attack surface and raises the ceiling on what attackers can do, which makes simplifying security even more critical. Security controls that require effort or inconvenience eventually get ignored. People find workarounds. The answer is to make the secure path the easiest path. Security works best when it gets out of the way When security is easier to use than to avoid, people adopt it. Years ago, when the industry was rolling out two-factor authentication a
Erin Brockovich takes aim at data center secrecy
Environmental activist Erin Brockovich has a new mission.
can the grid keep up with all the new ai data centers coming up?
seems that the power markets are not able to keep up with all these demand data centers coming online even with all of the new power plants and renewables coming online. will the grid be able to keep up with all these data centers and will ai developments be affected by it? submitted by /u/FF430 [link] [comments]
New AI model finds a cheaper path to healthier eating
Breakfast cereal bowls, deli sandwiches, pizza dinners, soups, yogurt plates. Most people do not eat from a blank slate, they eat from habit. That is part of what makes nutrition advice so hard to follow. It is also part of what a new artificial intelligence system tried to solve. submitted by /u/Brighter-Side-News [link] [comments]
AI news from 200+ sources
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Nvidia unveils new ‘superchip’ for AI-driven home computing
The chips are designed to allow AI agents to become the primary way users interact with their computers, rather than a mouse and keyboard.
For AI agents, where should the heavier reasoning budget go first: before actions, after state changes, or before the final explanation?
One thing I find interesting about reasoning models is that the hard question is often budget placement, not headline capability. Ring-2.6-1T is a trillion-parameter reasoning model for agent workflows with high and xhigh reasoning-effort modes. If an AI agent only gets a heavier reasoning pass in one place, I would put it before it takes an external action, after it updates state, or before it gives the final explanation to a user. Where would you spend that budget first? submitted by /u/babyb01 [link] [comments]
For Ling-2.6-1T, what would make the size feel justified first: quality per token, local serving reality, or long context stability?
The first question I have about Ling-2.6-1T is not “is the model card impressive?” It is whether the boring trade-off makes sense. It is an open-sourced Ant/InclusionAI flagship with about 1T total params / 63B activated params, up to 1M native context, and 256K currently exposed through the official API. For a local-LLM crowd, I’d want one answer first: does the quality justify the active size, can the serving setup make sense, or does the long window stay stable enough deep into context? Which one would you need answered before caring about it? submitted by /u/Top_Training5738 [link] [comments]
Any good AI / AI Agents newsletters you recommend in 2026?
Hey everyone, I’m looking for recommendations for a good AI Newsletter that covers practical developments in AI agents, generative AI, automation workflows, and emerging AI tools. I’m especially interested in newsletters that go beyond hype and focus on useful insights, real-world experiments, workflow examples, tool breakdowns, and thoughtful analysis of where AI agents are heading. If you personally read and enjoy an AI agent newsletter or any newsletter focused on generative AI, agentic workflows, or AI automation, I’d really appreciate your recommendations. Thanks! submitted by /u/lIlIlIKXKXlIlIl [link] [comments]
What was your biggest "AI agents are the future" moment?
I've seen a lot of AI agent demos, but I'm more interested in real-world experiences. Was there a moment when an AI agent completed a task that genuinely impressed you—something that would have taken hours or even days to do manually? What was the task, what tools were involved, and how much time did it save? Looking for actual use cases rather than demos. Curious to hear the moments that made you think, "This changes everything." submitted by /u/Humble_Sentence_3758 [link] [comments]
Anthropic’s browser agent got hijacked 31.5% of the time before safeguards engaged
Across the frontier labs, the highest prompt injection figures published this spring are Anthropic’s. Point a red-teamer at its newest model in a browser, and the attacker hijacked it 31.5% of the time before safeguards engaged. OpenAI, Google, and Meta never gave security leaders a comparable number to set beside it. That figure looks like a liability. In this comparison, it is the opposite. It's the one solid piece of ground. Four frontier labs each shipped a prompt injection disclosure, and no two match. Anthropic put 244 pages and four agentic surfaces on the table on May 28. OpenAI reported one surface, connectors. Google moved the subject out of the model card and into a separate safety framework. Meta shipped no closed-model card at all. The Cross-Vendor Prompt Injection Disclosure Grid below maps what each lab tested, what each one measured, and the four places a side-by-side comparison falls apart. A prompt injection hides a malicious instruction in something an agent reads, a
VINFAST AND AUTOBRAINS LAUNCH FIRST AGENTIC AI L4 PROGRAM FOR SOUTHEAST ASIA WITH NVIDIA
VinFast (NASDAQ: VFS), and Autobrains announced at NVIDIA GTC Taipei at COMPUTEX 2026 today a strategic collaboration for a next-generation level 4 program for Southeast Asia built on NVIDIA DRIVE Hyperion. The collaboration marks a new step in VinFast's roadmap to make advanced autonomous driving technology more accessible at a reasonable cost, while opening a more practical approach to autonomous mobility solutions in the region's highly complex traffic environments.
tried to write a journal entry without AI for the first time in like a year and kinda panicked
ok this is gonna sound dumb but bear with me I write a lot for work, marketing/copy stuff mostly, and over the last ~14 months ive slid from "use AI to clean up my draft" to "use AI to make the draft" to honestly not really writing anything on my own anymore. like i hadnt put a complete thought on paper without a model in the loop for months. didnt even notice it happening tbh. last weekend i tried to write a journal entry. just for me, no audience. nothing fancy. sat there for like 20 minutes trying to remember how to start a sentence that didnt have a thesis at the front of it. i kept wanting to write "Today I noticed three things about my mood." and then realising — wait, no, thats a chatgpt sentence. nobody writes that. but i couldnt remember the person-version. eventually wrote some half-garbage about being tired and what i ate and a weird thing my sister said about her landlord. it read like a 12 year olds diary which, fine, i guess thats what a journal is supposed to be but
New AI Agent Architecture to fix LLM deviations and token costs
Article URL: https://github.com/botcircuits-ai/botcircuits-agent Comments URL: https://news.ycombinator.com/item?id=48350800 Points: 1 # Comments: 0
GitHub Copilot charges GPT 5.5 with a 57x multiplier per request from June first
Article URL: https://docs.github.com/en/copilot/reference/copilot-billing/request-based-billing-legacy/model-multipliers-for-annual-plans Comments URL: https://news.ycombinator.com/item?id=48339069 Points: 3 # Comments: 0
Robotics
Nvidia bets big on physical AI at GTC Taipei with a new world model, driving brain, and open humanoid robot
Nvidia used GTC Taipei to launch a series of models for robots, autonomous vehicles, and video systems. The centerpieces are the new world model Cosmos 3, a significantly scaled-up driving model called Alpamayo 2 Super, and an open reference platform for humanoid robots. The article Nvidia bets big on physical AI at GTC Taipei with a new world model, driving brain, and open humanoid robot appeared first on The Decoder.
Mecka AI raises $60 million to train robots with human data sourced from body sensors and iPhones
The crypto VC Framework Ventures led two fundraises for the robotics startup, which projects $100 million in annual run rate.