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#Microsoft

All collected and published items, ordered by time. Picks are a selected subset.
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Company business, funding and M&A, people, partnerships, lawsuits, regulation and policy, markets and infrastructure.

10/15Thu
  1. The Verge · AI70

    How Windows is being optimized for Nvidia’s RTX Spark laptops

    Microsoft has optimized Windows for Nvidia’s Arm-based RTX Spark laptops through easier AI agent installation, tuned Prism emulation, and unified memory improvements. Tom Warren found Hermes setup mostly took two clicks, while OpenClaw required reinstallation and large local models responded more slowly than cloud models. Copilot Plus PC features, including Recall, are unavailable at launch, with initial Windows Insider availability expected later this year.

10/14Wed
  1. The Verge · AI61

    Microsoft forms Xbox Labs to explore AI-powered game ports and modding

    Microsoft is forming Xbox Labs, a small group of game makers, engineers, and scientists, to explore emerging game ports and remixes assisted by AI models. Xbox CEO Asha Sharma says the group will build openly and share tools with developers across the industry. Tom Warren raises questions about unauthorized use of Microsoft’s IP; the company did not respond to his request for comment before publication.

10/12Mon
  1. NVIDIA Blog79

    NVIDIA Opens Vera Rubin Rack Designs and Expands AI Factory Infrastructure at OCP

    NVIDIA contributed Vera Rubin rack and compute tray designs to OCP through its open MGX architecture and launched open source components for DSX AI Factory. MGX 1.2 supports rack deployments up to 250kW and adds standardized power, cooling and interconnect interfaces. NVIDIA and partners also announced facility and grid resilience specifications, Meta’s adoption of Spectrum-6 switches, plans for USFP optical modules with Cisco, and Falcon Transport support on future ConnectX-10 SuperNICs and BlueField DPUs with Google.

    Why it matters: The specifications show how shared rack, cooling, power and software interfaces can give infrastructure builders a common implementation target as AI factories scale to higher power densities.

  2. Mustafa Suleyman · X73

    Microsoft introduces Maia 300 with 40% more tokens per watt

    Mustafa Suleyman calls Microsoft’s new silicon 🔥 and highlights “40% more tokens per watt!” In the quoted announcement, Satya Nadella says Maia 300 delivers 40% more tokens per watt than leading GPU-based systems, with multi-gigawatt Maia deployments planned starting next calendar year as the primary inference system for Microsoft’s products and services. He says Maia 200 is already being deployed across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across Teams and Copilot experiences. https://twitter.com/satyanadella/status/2109631106404487523

  3. The Verge · AI38

    Silicon Valley leaders adopt Trump's "super intelligence" rebrand for AI

    Some of Silicon Valley's most powerful figures are falling in line with President Donald Trump's push to rebrand artificial intelligence as "super intelligence." Elon Musk promised to rename SpaceXAI to SpaceXSI, Marc Benioff said Salesforce would rename AIForce to SIForce, Nvidia tied "super intelligence research" to a $1 billion commitment, and Microsoft's Satya Nadella repeatedly used the term in a post calling for an AI "emergency brake."

  4. TechCrunch · AI26

    Can the AI industry win over data center opponents by dropping NDAs?

    Amazon followed Microsoft in saying it will no longer use nondisclosure agreements when negotiating with local governments over data centers, a move buried in a longer blog post arguing data centers benefit communities. On TechCrunch's Equity podcast, Sean O'Kane, Rebecca Bellan and Anthony Ha debated whether the change will ease backlash, noting moratoriums typically last only a year or two while data centers take years to come online.

10/11Sun
  1. 量子位74

    TypeSafe AI raises $870M Series A at $7.5B valuation for Jev decision model

    TypeSafe AI, the San Francisco company behind the decision-only model Jev, announced an $870 million Series A at a $7.5 billion post-money valuation, up from a $200 million valuation at its $40 million seed round 24 days earlier. a16z, Sequoia and DCVC participated, and a16z partner Martin Casado joined the board. The company says about one third of Fortune 500 companies now use or integrate Jev, which outputs decisions rather than chat.

10/10Sat
  1. Latent Space67

    TypeSafe Reaches $100M ARR and $7.5B Valuation Three Weeks After Launch

    TypeSafe announced its Series AI round, and Sequoia disclosed that the company crossed $100M ARR in its first week, three weeks after launch, according to this AINews roundup. The same issue reports several vendors shipping typed decision models on one day, including OpenAI's Decisions API on GPT-6 Luna at $0.10/M input tokens and Perplexity's pplx-decider-v1.1-27b claiming 94.5% on Decision Bench.

  2. TechCrunch · AI28

    Amazon drops data center NDAs, and AI agents want your credit card

    Amazon announced it will no longer use NDAs when negotiating data center deals with local governments, after Microsoft made a similar move earlier this year. Meanwhile, a group of startups is betting that consumers will let AI agents access their inboxes, files, and credit cards, provided they can get websites to allow it. The TechCrunch Equity podcast discussed whether dropping NDAs will change how data center deals are done, and why trust may be the real product for personal AI startups.

  3. TechCrunch · AI38

    Amazon and others are no longer keeping data center deals secret — is that enough to build trust?

    Amazon announced it will no longer use non-disclosure agreements when negotiating data center deals with local governments, after Microsoft took a similar step earlier this year. The secrecy practices had previously fueled community opposition to AI infrastructure, with hundreds of proposed and enacted bans from New York to San Francisco. TechCrunch's Equity podcast discussed whether dropping NDAs will change how data center deals get done, and why trust may be the real product for personal AI startups.

10/9Fri
10/8Thu
  3. NVIDIA Blog78

    NVIDIA and Microsoft announce RTX Spark and infrastructure for Windows agents

    At a Windows AI and Surface event in San Francisco, NVIDIA and Microsoft said they are designing software and hardware together for the agent era on Windows PCs. Microsoft announced that its OS-level Microsoft Execution Containers (MXC) infrastructure is generally available, allowing agents to run persistently in the background under system control.

    Why it matters: NVIDIA and Microsoft are delivering both the system-level containers and local compute needed to run agents, helping readers assess the conditions for local agent workflows.

10/6Tue
10/2Fri
  1. The Verge · AI38

    Microsoft uses biomimicry to hide data centers in forests; will it quiet community opposition?

    Microsoft announced a biomimetic redesign for data centers, adding gardens and native trees and investing in damaged-ecosystem restoration to 'blend the facilities into the natural landscape'. It plans to expand the approach to more than 20 sites in the United States and Germany. Microsoft says it piloted the design at a data center in the Netherlands; in 2022 it cut down more than 2,600 trees in San Antonio to build a data center, sparking local controversy.

10/1Thu
  1. The Decoder80

    OpenAI says it blocked model-reasoning theft, but the same method still works on Azure

    OpenAI said it blocked a distillation operation intended to steal model reasoning. Activity began at low volume on July 1 and surged on July 24–25 to 16,000 requests from more than 4,000 users across more than 15,000 linked accounts. OpenAI says it shut them all down by July 28, noting that these were attempted extractions and may not have succeeded.

    Why it matters: OpenAI disclosed a model-reasoning distillation theft incident that also raised questions about inconsistent cloud-platform protections, showing a real path for reasoning leakage.

9/30Wed
9/29Tue
  1. Microsoft Research20

    One year on, Microsoft Research Asia's Singapore lab advances frontier AI, collaboration, and talent development

    In its first year, Microsoft Research Asia's Singapore lab (MSRA–Singapore), Microsoft's first research lab in Southeast Asia, has advanced work in four areas: next-generation AI models and agent systems, domain-specific AI, AI-native research practices, and ecosystem and talent development. The lab works with partners in Singapore's healthcare, finance, and education sectors to explore applications including multimodal medical AI and self-evolving diagnostic agents.

9/26Sat
9/25Fri