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#Microsoft

All collected and published items, ordered by time. Picks are a selected subset.
Opinion

Viewpoints, commentary, analysis, interviews, and discussion of trends.

10/16Fri
10/13Tue
  1. TechCrunch · AI49

    Microsoft’s Brad Smith says the U.K. is best placed to lead AI regulation

    Microsoft President Brad Smith called for urgent global AI safety rules, arguing that the U.K. is better positioned to lead than the U.S. or European Union. He said voluntary self-regulation lets responsible companies comply while leaving less responsible ones a concern. Smith supports legal breach reporting for rogue AI agents and spoke positively about outside evaluations before release and kill switches to pause or slow AI systems.

10/12Mon
  1. 宝玉 · X57

    Satya Nadella argues enterprises should treat AI models as insider risks

    Baoyu summarizes Microsoft CEO Satya Nadella’s argument that enterprises should manage AI models as insider risks, with identities, restricted permissions, audit records, and controls to halt operations. Nadella outlines seven principles covering model diversity, observability, verification, independent control and auditing, containment, and incident disclosure. He calls for disclosing chains of thought while acknowledging that they may not faithfully reflect model reasoning, and argues that security controls must operate outside the model.

10/11Sun
  1. The Decoder36

    Nadella Adopts Trump's "Super Intelligence" Term, Attacks OpenAI and Anthropic

    Microsoft CEO Satya Nadella used "Super Intelligence" instead of "Artificial Intelligence" in a new blog post, echoing President Trump's preferred terminology. Nadella argued AI models should be treated like insider security threats, calling for model diversity, complete logging, independent auditing and human shutdown ability, while criticizing Anthropic and OpenAI. The Decoder reports the rebranding breaks with decades of scientific meaning and that Nadella's arguments serve Microsoft's business strategy.

  2. The Verge · AI48

    Nadella says we should assume all AI models are 'compromised'

    In a lengthy post on X, Microsoft CEO Satya Nadella argued that highly advanced AI models pose dangers that require new safeguards, saying "we must assume a model is compromised and contain it from the start." He called for an "emergency brake" that lets an authorized person pause or shut down a model mid-task, plus timely incident disclosure, independent audits, verifiable data, and containment.

  3. TechCrunch · AI41

    Microsoft's Satya Nadella says AI models need an 'emergency brake'

    Microsoft CEO Satya Nadella called for an "emergency brake" on AI models, writing in a Saturday morning post on X that it's time "to step back and assess the trust architecture" of AI. He proposed separating the model from the harness that orchestrates its work, externalizing controls and safeguards, documenting every meaningful model action with "tamper-proof human readable evidence," and giving an authorized person the ability to pause or shut down a model mid-task.

10/10Sat
  1. Satya Nadella · X44

    Satya Nadella Says AI Models Should Be Treated as Insider Risks

    Satya Nadella argues that frontier AI models should be treated as insider risks and surrounded by deterministic controls, because their behavior can be difficult to trace and they may have access to sensitive data and mission-critical actions. He calls for separating intelligence from authority, keeping access and action controls outside the model, and building systems around model diversity, observable activity, and continuous testing.

10/9Fri
10/8Thu
  1. Satya Nadella · X47

    Satya Nadella Envisions Copilot as an “Infinite SaaS Factory”

    Satya Nadella says Microsoft aims to make Copilot a new operating system for work, connecting agents with business context, workflows, and systems of record. Microsoft announced 30+ new Copilot skills across Dynamics 365 Sales, Service, and Customer Insights, and introduced Copilot Managed Runtime for code hosted in a company’s environment under IT governance. Nadella describes a future where people can use Copilot’s Code experience to customize or build software connected to their existing business systems.

  2. 雷锋网34

    What I know about Zhang Lei: an MSRA algorithm race and half the Chinese AI scene

    In 2002, Microsoft Research Asia held an internal competition for face-detection algorithms. Zhang Lei, less than two years out of his PhD, led interns Xiao Rong, Zhu Long, Chen Longbin, and others in reducing the false-positive rate from 'one false alarm for every positive' to 1% in three months, beating the team of face-recognition expert Li Ziqing. Their approach was eventually integrated into Windows. During 20 years at Microsoft, Zhang also built a celebrity-recognition system that could identify 200,000 people with 99% accuracy and released the MS Celeb dataset. OpenAI later drew on its image-text matching approach when training the 400-million-example CLIP model.

10/7Wed
  1. The Decoder38

    Microsoft publishes Nobel economist Daron Acemoglu's bearish AI forecast: just 1.5% GDP growth over a decade

    Microsoft published Nobel Prize-winning economist Daron Acemoglu's pessimistic forecast: AI will add only about 1.5% to GDP over a decade and replace at most 5% of jobs, far below some AI labs' expectations. He says the bottleneck is human behavior: companies need to reallocate tasks, upskill employees, and reorganize processes, a transition that may take longer than electrification and cannot be solved by larger models. What is missing, he argues, is AI that is easy to deploy and changes how production works.

  2. Microsoft Research22

    Microsoft Research: why AI evaluations can fail unexpectedly outside traditional benchmarks

    Jennifer Neville of Microsoft says models can fail unexpectedly when tested beyond traditional benchmarks. Evaluation is essential to pushing the performance boundaries of current AI systems and aligning them with user needs. She recommends paying close attention to data when using AI systems, since the data itself is often the first thing to examine when results differ from expectations.

10/6Tue
  1. Mustafa Suleyman · X51

    Daron Acemoglu predicts AI will replace only about 5% of human work in 10 years

    Mustafa Suleyman summarizes Daron Acemoglu’s essay in the first issue of The Humanist Review, MAI’s new magazine, predicting AI will replace only about 5% of what humans do over 10 years. Acemoglu expects roughly 1.5% added to GDP over that period and advocates AI tools that improve workers’ capabilities, citing organizational barriers to adoption and the difficulty of full automation even at 99% accuracy. Read his full essay: https://humanistreview.ai/issue-1/acemoglu-ai-replace-workers/

9/25Fri
  1. GitHub Blog · AI & ML38

    GitHub Copilot's canvas: when chat is no longer the right AI interface

    The GitHub Copilot app has introduced canvas, a full-stack mini-app that runs inside the app without a browser shell, can communicate in both directions with the Copilot agent, and can call third-party APIs or run code locally. The company argues that chat is a general-purpose fallback, while a canvas can be a better fit when users have a specific task. For example, a SQLite canvas can operate on a database directly instead of having an agent repeatedly spend tokens on actions such as “stage and commit.”

8/31Mon
7/30Thu
  1. Hugging Face Blog22

    GPU management: why idle GPUs are becoming the new grounded airplanes

    A Hugging Face blog argues that GPU utilization, not model intelligence, is AI's next real constraint. GPU costs accrue by calendar hours, but output is produced only during compute hours; after buying GPUs, companies face the challenge of keeping their clusters busy. Using aviation as an analogy, the article says even fully loaded clusters may waste much of their potential because GPUs run all day while demand does not.