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Microsoft president Brad Smith is calling for urgent regulation of AI, and his argument is that consumer products like milk and washing machines have more oversight than the companies building artificial intelligence. On a recent BBC podcast , Smith called AI both a “weapon and a tool” that is putting the world’s cybersecurity at risk and said the “moment has arrived” to institute global safety rules. Smith also said the U.K., and not the U.S. or European Union, is best placed to lead on global

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a digital design. In today’s AI rundown: Atomic Machines’ AI turns code into tiny machines; The Rundown Roundtable: Our AI use cases; Turn a product photo into three matching ads; Microsoft CEO: Treat AI like it’s already been hacked LATEST DEVELOPMENTS ATOMIC MACHINES ⚙️ Atomic Machines’ AI turns code into tiny machines Image source: Atomic Machines The Rundown: Atomic Machines, a California startup led by former Uber self-driving chief Jeff Holden, just emerged from stealth after six years wit

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Microsoft is announcing its third-generation Maia in-house AI chip today, designed to be the “primary AI inference system” for Microsoft’s products and services. Maia 300 not only improves the cost and efficiency of running AI workloads in the cloud, it’s also more capable of handling the latest reasoning models and agentic tasks. Maia 300 will start being rolled out to production in 2027, and it has been designed with efficiency in mind. “We expect Maia 300 to deliver 40 percent more tokens per

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cientist $) 10 Scientists spotted the most distant signal yet from the ancient universe It could help them understand how the universe has evolved. ( 404 Media ) Quote of the day —Microsoft's president, Brad Smith, tells the BBC why AI urgently needs more regulations, including requiring firms to write "incident reports" and tell victims if the technology goes rogue. One more thing Geoffrey Hinton is a pioneer of deep learning who helped develop some of the most important techniques at the heart

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es 40+ languages into voice and subtitles in Teams, Zoom and Google Meet. Meeting data is deleted when the call ends. DeepL Pro plans include 30 Voice minutes per user monthly. 5. Microsoft Teams Interpreter agent: Interpreter is a Copilot agent for speech-to-speech interpretation in Teams, with optional voice simulation. Admin docs list 9 languages; the support page lists 10. A Copilot license includes 20 hours per user monthly. 6. JotMe: JotMe captures Zoom, Teams, Meet and Webex audio without

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of weights covers 5 languages, with word-level timestamps; No weights, license or API yet: test it via the 60-second demo Asif Razzaq Asif RazzaqMeet Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Audio, Video, Image and Text; Asif RazzaqOrcaRouter Releases OrcaCyber Zero 1.5 Cybersecurity Model With 1M Context; Asif RazzaqSakana AI’s LLM Peer Review System Catches 73% of Core-Claim Errors; Asif RazzaqMicrosoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model

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is 1.7x to 2.0x faster at the median after moving to SGLang; Clef-omni wins intent tasks but trails Clef on reasoning and workflow evals Asif Razzaq Asif RazzaqOrcaRouter Releases OrcaCyber Zero 1.5 Cybersecurity Model With 1M Context; Asif RazzaqSakana AI’s LLM Peer Review System Catches 73% of Core-Claim Errors; Asif RazzaqMicrosoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model; Asif RazzaqNace AI Open-Sources Drex 1.5: A 9B Decision Model That Scores Options, Not Text

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Microsoft boss: 'If a company builds AI agents and they break loose, there should be a legal obligation to tell the victim' Published12 October 2026 Milk and washing machines are currently more regulated than AI, the president of Microsoft has said. Brad Smith said there needed to be global safety rules in place, including a legal obligation to tell a "victim" if their system is breached by a rogue AI agent as well as deciding when outside evaluators should sign off on an AI product before it is

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mmit” $1 billion to scientific advancement, that included “ super intelligence research .” Of course, Huang has a lot to lose if he gets on Trump’s bad side. The latest to cave is Microsoft’s Satya Nadella, who attended the same AI summit as Huang along with Mark Zuckerberg, Sundar Pichai, Jeff Bezos, Dario Amodei, and Musk. In a post calling for building an “ emergency brake ” for AI yesterday, Nadella repeatedly referred to the technology as “super intelligence.” During Trump’s second term, Si

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Amazon recently followed Microsoft’s lead and said it will no longer use nondisclosure agreements (NDAs) while negotiating with local governments over data centers. On the latest episode of TechCrunch’s Equity podcast , Sean O’Kane, Rebeccan Bellan and I discussed Amazon’s announcement, which came in the middle of a longer blog post making the case that data centers are actually good for communities. Rebecca was a bit skeptical that the recent spate of data center moratoriums will have a lasting

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omable for Meta just a year ago. In today’s AI rundown: Meta’s Muse Wonder lands at the frontier; Andrej Karpathy sketches AI’s ‘sharp funnel’; Put Meta’s new Muse Wonder to work; Microsoft’s Maia 300 takes aim at Nvidia LATEST DEVELOPMENTS META 🍉 Meta’s Muse Wonder lands at the frontier Image source: Meta The Rundown: Meta Superintelligence Labs just released its long-anticipated Muse Wonder (Watermelon) and Muse Wonder Full, two powerful new AI models, with the full version landing 2 in Artifi

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ction each day. It is trusted and adopted by a wide range of leading enterprises and institutions, including xAI, NVIDIA, AMD, Intel, LinkedIn, Cursor, Oracle Cloud, Google Cloud, Microsoft Azure, AWS, Atlas Cloud, Voltage Park, Nebius, DataCrunch, Novita, RunPod, InnoMatrix, Modal, MIT, UCLA, the University of Washington, Stanford, UC Berkeley, Tsinghua University, Baseten, Baidu, AntGroup, Alibaba, Tencent, and other major technology organizations. As an open-source LLM inference engine, SGLan

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wan, ran a prompt-injection benchmark[10], showing that gpt-5-thinking has SOTA performance against adversarial prompt injection attacks produced by their Shade platform. Figure 8 Microsoft AI Red Team results The Microsoft AI Red Team concluded that the gpt-5-thinking model exhibits one of the strongest AI safety profiles among OpenAI’s models—on par with or better than OpenAI o3—across most critical harm categories, based on an extensive red-teaming exercise. The Microsoft AI Red Team spent se

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Peter Lee, who recently announced his departure as president of Microsoft Science, plans to join the Mercedes Formula 1 team in a newly created AI advisor role, he told Fortune. Lee spent 16 years at Microsoft shaping its science and research efforts, exploring how AI can help doctors and scientists crack hard problems in the physical, biological, and medical sciences. At Mercedes, he said, he’ll focus on four main goals: using AI to tackle physics problems for the team’s car, breaking down orga

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cores 25.5% on SWE-bench Verified (@rdolmedo ). Test-writing gap: Frontier agents’ tests catch fewer than 55% of logical mutants (@nielstron). Inference Systems, Silicon and Power Microsoft Maia 300: Microsoft claims 40% more tokens per megawatt than leading GPU systems and 7× the rack-scale throughput of Maia 200 (@Microsoft). Maia is planned to become the primary inference system for Microsoft’s own products starting in 2027 (details). Other hardware: Intel Crescent Island: 480 GB of LPDDR5X,

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per-rack design on 102.4T silicon and moving toward an ESUN-based implementation with future chips; Open Switch Platform Architecture (OSPA): a new OCP initiative, co-led by Meta, Microsoft, and Alibaba, that standardizes the switch platform layer — with specification v1.0 now submitted to OCP; MetaRoCE: Meta’s RDMA transport protocol for AI networks — now with open-source implementations The 102.4T Generation: Liquid-Cooled Networking at AI Scale As AI clusters grow to gigawatt scale, network s

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How Microsoft rebuilt the new Copilot with capabilities to address a growing gap in AI Melina Panitsidis Good morning, AI enthusiasts. AI is built into almost every app we open, but that doesn't automatically make it useful. Microsoft's answer is to bring it all into one place with Copilot. Built around three new capabilities — Home, Code, and Autopilot — it's being pitched as an “OS for work” where you can chat, build apps, and work alongside agents. In partnership with Microsoft, we sat down w

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so hot right now. But, in all seriousness, the thought of having a little gofer living solely in the box on my desk that answers only to me and not overlords from OpenAI, Google, Microsoft, or Anthropic hits a bit different than trusting cloud services or subscribing to a chatbot. Don’t get me wrong, there’s still no way I’m gonna have it write for me, edit for me, or generate ugly fliers . But now, with some privacy on my side maybe I can finally think of useful busy work to “trust” it with. S

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Microsoft CEO Satya Nadella is adopting President Trump's preferred terminology while continuing to undermine OpenAI and Anthropic. In his latest blog post, Nadella uses "Super Intelligence" instead of Artificial Intelligence. Trump had previously posted that anyone who keeps saying "Artificial Intelligence" should be considered an enemy . The rebranding of "Super Intelligence" to describe today's language models breaks with decades of scientific meaning behind the term , but the US tech elite d

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w’s $25 / $125; The 98% CyberGym claim belongs to Zero 1.0 inside Orca’s harness; All results are vendor-reported, with no technical report yet Asif Razzaq Asif RazzaqSakana AI’s LLM Peer Review System Catches 73% of Core-Claim Errors; Asif RazzaqMicrosoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model; Asif RazzaqNace AI Open-Sources Drex 1.5: A 9B Decision Model That Scores Options, Not Text; Asif RazzaqAlibaba Qwen Releases Qwen-Image-2.1-Turbo, an 8-Step 7B Image Model

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