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The move is aimed at spreading more information about Prime Minister Sanae Takaichi's administration.


Hey everyone, I recently took the leap and started my own little agency selling AI call agents, and I've just launched my very first product. It's an AI calling agent paired with an AI website chatbot, aimed at local service businesses like dental clinics, salons, and medical practices. Before I go all in on outreach, I really wanted to put it in front of people who know this space and get some honest feedback, because I'd rather fix the gaps now than after I've pitched fifty businesses. Here's what it does. The AI voice agent connects to a business's official phone number and answers calls 24/7. It greets callers, explains services, answers the common questions, and books or reschedules appointments on its own. It also knows when to stop and hand a call to a real person, like for emergencies, billing problems, or an upset caller. On top of that, it comes with a website chatbot for the same business that guides visitors and books appointments too. So basically it works as a receptioni

Microsoft on Tuesday took the wraps off Adaptive Spec-driven Scoring for Evaluation and Regression Testing, an open source framework for spinning up AI evaluations.

Microsoft just kicked off Build 2026 with a keynote from CEO Satya Nadella and other company leaders. As expected, it was filled with announcements, ranging from new Surface hardware to an always-on personal assistant and updates across Microsoft's in-house AI models. If you didn't watch the event live, you can catch up on all the latest news in the roundup below. A mini Surface PC designed for AI development The Surface RTX Spark Dev Box is geared toward developers who want to run local AI models on their device, serving as a substitute for Qualcomm's canceled dev kit. It comes equipped with Nvidia's new Arm-based Spark RTX chip and 128G … Read the full story at The Verge.

Google's June Android feature drop includes more scam detection, more AirDrop, and yes, more AI.

Microsoft announced a bunch of new in-house AI models at Build 2026, including a new "flagship" model: MAI-Thinking-1. It's an ambitious step into model development for Microsoft, which introduced its initial in-house models last year - before then, it had relied on OpenAI's models. The two companies recently renegotiated their deal to loosen ties. According to Microsoft, MAI-Thinking-1 is a "medium-sized model" that "matches leading models" on "key" software engineering benchmarks. Microsoft says the company "trained it from the ground up on clean data, without distillation from third-party models." As for other models announced today, t … Read the full story at The Verge.

Much like Google, Microsoft is launching its own version of OpenClaw. Microsoft Scout is an always-on assistant that integrates into Microsoft 365 apps like Outlook, OneDrive, and Microsoft Teams, allowing businesses to assign a virtual assistant to employees to help with organizing calendars, expense reporting, email drafts, and much more. Unlike Copilot that lives inside Microsoft 365 apps, Microsoft Scout can see and do a lot more. "This is a personal assistant, it's the first real personal assistant we've offered customers," explains Omar Shahine, corporate vice president of Microsoft Scout, in an interview with The Verge. "I think it's … Read the full story at The Verge.

Engineering physical systems still depends on human talent, according to Impulse Space president Eric Romo.

HP (NYSE:HPQ) has launched a new portfolio of AI-focused PCs and developer workstations in partnership with Nvidia. The range targets creators, gamers, and enterprise users that are working with AI-accelerated workloads. New devices are built around Nvidia RTX Spark and AMD Ryzen AI, with dedicated options for developers and corporate IT teams. For HPQ, this move speaks directly to how personal computing is changing as AI workloads become part of everyday use, from content creation to code...

Computex Lights Up AI Chip Stocks as Nvidia and Rivals Push New Plans

Berkshire Hathaway famously missed past tech waves, to Warren Buffett’s regret. Greg Abel is determined not to miss this one.

Graduates are blaming AI for their employment woes, but the real culprit may be the pandemic’s most sought-after workplace perk
Hey everyone I built AIWire, a free real-time AI news aggregator. One clean feed, 20+ handpicked sources, auto refreshes every 30 minutes. No account needed, no ads. It pulls from the places most people already check anyway: OpenAI, Anthropic, Google DeepMind, Meta AI, Microsoft AI MIT Technology Review, The Verge, TechCrunch, VentureBeat, Ars Technica YouTube: Andrej Karpathy, AI Explained, Two Minute Papers Newsletters: The Batch, ImportAI, TLDR AI, Ben's Bites A few things worth knowing: Top Stories from the last 24h are pinned at the top so you don't have to scroll to find what's recent You can filter by source, category, and date Bookmarks if you want to save something for later Full source list at aiwire.app/sources No account needed, completely free. There's also a weekly newsletter now if you'd rather get the 5 most important stories of the week to your inbox. 🔗 aiwire.app Happy to hear what sources are missing or what you'd change. https://preview.red

AI infrastructure demand lifts STMicro's data center outlook.

With economic uncertainty, AI anxiety, and a brutal job market weighing on workers, Amazon founder Jeff Bezos has a counterintuitive theory on stress: and the answer is not your workload, it's your inaction.
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For the past two years, the technology industry has raced to make AI agents more capable — teaching them to write code, navigate software interfaces, manage files, and orchestrate multi-step workflows with increasing autonomy. What the industry has not done, at least not with any consistency, is answer the question that keeps chief information security officers awake at night: what happens when an agent goes wrong? On Tuesday at its annual Build developer conference, Microsoft offered what may become the definitive answer. The company introduced Microsoft Execution Containers, or MXC — a policy-driven execution layer, built into the Windows operating system itself, that lets developers and IT administrators declare exactly what an AI agent can and cannot access, with those boundaries enforced at runtime by the OS kernel. The announcement, buried within a sweeping set of developer-focused updates, is arguably the most consequential platform move Microsoft made at Build this year, and it

OpenAI is getting serious about courting enterprise users. On Tuesday, the AI lab released a new set of capabilities for Codex, meant to expand the agentic tool’s uses in the workplace. Together with the new tools, the company released an internal report on how Codex is being used for knowledge work, finding its uses go […]

CoreWeave recently became the first AI cloud provider to deploy and fully validate NVIDIA’s Vera Rubin NVL72 rack-scale AI system on its cloud, pairing this with custom innovations in liquid cooling, rack control, networking, and secure multi-tenant operations. Alongside this hardware milestone, CoreWeave introduced unified agentic AI capabilities that link reinforcement learning, production inference, and observability into a closed feedback loop, aimed at making large-scale AI agents more...

Zip, the AI procurement platform valued at $2.2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of five AI "Superagents" that can review contracts, code invoices, and negotiate with vendors inside Zip's governance framework, and a procurement-native implementation of the Model Context Protocol (MCP) that pipes Zip's data directly into AI assistants like Claude and ChatGPT — without sacrificing audit trails or compliance controls. The announcements, unveiled at Zip's AI Summit in New York with speakers from Anthropic, OpenAI, Datadog, and Humana, arrive at a moment when the procurement technology sector has become one of the fiercest battlegrounds in enterprise AI. SAP unveiled its "Autonomous Enterprise" vision at Sapphire 2026 just weeks ago, introducing more than 50 domain-specific Joule Assistants across finance, supply chain, and procurement. Coupa launched its own Compose platform and

Microsoft’s annual developer conference is kicking off on June 2nd in San Francisco with the keynote presentation streaming live at 12:30PM ET / 9:30AM PT, and we will be following along here with everything as it’s announced. The Verge’s Tom Warren reports that we can expect to hear about new AI models and agentic OpenClaw-like tools, plus a Copilot “super app” to go along with some of the major changes to Windows 11 that have already started appearing. Microsoft just announced the new Surface Laptop Ultra, powered by Nvidia’s RTX Spark, so there could be more Windows on ARM news in store. Follow along here for the latest news and updates. How to watch Microsoft’s Build 2026 conference Microsoft to unveil new AI models and Windows improvements at Build Microsoft’s big developer conference returns to San Francisco in June

Agentic AI is moving rapidly from the developer terminal to the corporate world. On Tuesday, OpenAI announced a major update of its agentic AI platform Codex, introducing domain-specific workflows, a rapid, semi-private web hosting feature within it for enterprises called "Sites," and an in-place editing tool named "Annotations". The release marks a deliberate strategy to transform Codex from a specialized programming assistant into an everyday operating environment for business professionals. Non-developers—including financial analysts, marketers, operators, and researchers—now constitute approximately 20% of the platform’s 5 million weekly users and are adopting the technology three times faster than traditional engineers, according to research shared by OpenAI with VentureBeat and other outlets. OpenAI is capitalizing on this shift to position Codex as the premier application for white-collar task automation. The timing of the announcement is highly strategic, arriving precisely a
Your ROS robot can now look for physical items in your space using Nvidia's NemoClaw or OpenClaw, Claude, or Google Gemini. Try it: https://github.com/agenticros/agenticros-skill-find submitted by /u/Chemical-Hunter-5479 [link] [comments]

While FORT has traditionally worked with technology in industrial environments, Mapless AI brings experience in more unstructured settings. The post FORT Robotics acquires Mapless AI to expand teleop capabilities appeared first on The Robot Report.
https://huggingface.co/nvidia/Cosmos3-Super-Text2Image Nano: 16B Super: 64B Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs. It serves as a foundational building block for a broad range of Physical AI applications and research spanning world understanding, world generation, simulation, and embodied policy learning. Haven't seen much here yet. Some twitter discussion: https://x.com/victormustar/status/2061354267546427595 submitted by /u/RobotRobotWhatDoUSee [link] [comments]

QNX, a division of BlackBerry, has released a new research study, the Inside the Robot: Architecture Benchmark Report, examining how robotics development is changing as systems become more software‑driven, AI‑enabled, and increasingly deployed alongside humans at work and in daily life. Based on a survey of 1,000 developers from around the world, the research reveals […]
The AI Alliance (the IBM/Meta-founded nonprofit consortium) just published a report from the first planning workshop for Project Tapestry, an effort to explore whether frontier-scale AI can be built through a global coalition instead of a single centralized lab. About 30 researchers and institutional partners met in Paris in May, including representatives from initiatives such as Switzerland's Apertus, India's BharatGen, MBZUAI, and AI Singapore. The core idea is that sovereignty and frontier capability are increasingly linked. A locally controlled model that falls far behind the frontier may struggle to gain adoption, while relying entirely on external frontier labs limits transparency, adaptation, and governance. Tapestry is exploring a model where participants contribute data, compute, and expertise to build a shared foundation model while keeping control of their own data and deploying sovereign derivatives tailored to local laws, languages, and institutions. That said, this is

A new AI compliance service sits between AI models and end users to flag and replace any messages that might present a compliance problem.