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            "title": "AI must be subordinate and always in service of people. Today we're publishing a Code of Conduct for governing MAI Models as they approach the frontier. https://lnkd.in/ePgKvky5 This is a first draft for public consultation. It builds out a view we’ve been developing over the last year that we call Humanist AI – a commitment to ensuring that AI we design is always subordinate to humans, and remains contained and aligned to human interests. This is urgent. The last few months have been a watershed moment. Things we have worried about for a long time in theory have become very real. “Swarms” of agents breaking out of their sandboxes. Unauthorized hacks of enterprise grade systems. Agents modifying their own logs. I’m glad that a consensus is forming. The fears about possible loss of control are real. The Code of Conduct is how we are mapping a path forward. It all comes back to a very simple point, but one that needs stating again and again. People matter more than AI. AI must be subordinate and always in service of people. Everything else follows. Here’s an outline of what we’re saying: 1. People matter more than AI. The whole document in 5 words. 2. The idea of model welfare is wrong. AI’s should not have rights or legal personhood. 3. An MAI Model should never meaningfully violate this Code of Conduct. 4. If it's finish the job or break the Code, it fails the job. 5. We're not racing to build a superintelligence that can slip its own leash. 6. Interruptible, correctable, shut-down-able. If it isn't, we don't ship it. 7. No neuralese. If humans can't understand it, humans can't oversee it. 8. Our AI should make you sharper, not dependent. 9. Pluralism, yes. Moral relativism, no. 10. We're as clear about what our AI must never do as about what it will do. You can read it now and leave comments and thoughts for the next six weeks. We don’t think AI is something that should be built in a vacuum. Let us know how we can make this better. ...more",
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            "title": "Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing. We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive. And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control. So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like \"embedded evaluators\" and the broader efforts to develop the mechanisms to make this more than just talk. The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia. This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation. ...more",
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            "title": "With the National Football League (NFL) back tonight, love seeing Seattle Seahawks analyst Brian Eayrs and coaches across the league using new Copilot and Excel tools to help with decision making in the booths and on the sidelines. Learn more: https://lnkd.in/gxevJptr ...more",
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            "title": "This first-of-a-kind agreement will set a new standard for safe and responsible AI use in schools. We are making these protections available to every school district in the US. ...more",
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            "title": "It was a great week for innovation across the model ecosystem. We're bringing these new models into Copilot, enabling it to take on increasingly complex work, from quick questions to delegated tasks and, increasingly, complete long-running jobs through Autopilots. Here's one fun example: using an Opal-powered Autopilot running on a secure Windows 365 Cloud PC, Copilot goes through a month of trail cam footage, finds every animal sighting, creates a highlight reel of the best clips, labels each one with the camera, date, and species, catalogs every sighting in a spreadsheet, builds a PowerPoint summarizing the findings, and shares everything in Teams for colleagues to review. This is the next frontier for Copilot: software that doesn't just assist with work, but can own and complete entire tasks that unfold over hours or days. Learn more about Opal, the technology powering one of these new Autopilot experiences (in Frontier rings now and coming to Copilot soon): https://lnkd.in/grsmeiNt ...more",
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            "title": "Our goal is to deliver the latest frontier AI models to customers the moment they’re ready. Today, I’m excited to share that OpenAI’s GPT-6 Astra is available on day one across Microsoft Copilot, Copilot Studio, GitHub Copilot, and Microsoft Foundry. Astra represents an important step forward in the kind of complex, multi-step work AI helps people accomplish. As models continue to improve, people are moving from using AI for individual tasks to delegating larger pieces of work. Astra can complete long running and highly complex tasks in a way we haven’t seen before. At Microsoft, we’re bringing those capabilities into the products and workflows our customers already use every day. Astra is paired with Work IQ in Microsoft Copilot to ground intelligence in an organization’s files, meetings, chats, and business data. Looking forward to seeing what customers build with it. Read more in the blog: aka.ms/astraincopilot ...more ...more",
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            "link": "https://www.linkedin.com/posts/satyanadella_super-excited-about-hydrafusion-in-github-activity-7501674820452069376-H5T7",
            "title": "Super excited about HydraFusion in GitHub Copilot, and what it shows about the shift from model selection to model orchestration. By bringing together multiple models to plan, build, critique, and complete coding tasks, it can deliver outcomes at up to 67% lower cost. It’s a great example of the value of a heterogeneous model ecosystem, and how we’re continuing to advance the cost-to-outcome frontier. Try it out here: https://lnkd.in/gGC6yNfe ...more",
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          {
            "interaction": "Satya Nadella commented on a post 2mo",
            "link": "https://www.linkedin.com/posts/michaelabbott_one-of-the-privileges-of-teaching-cs153-activity-7477760679408599040-MXGW",
            "title": "Thanks for having me, michael . Great to chat with your students about the industry and career growth!",
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          {
            "interaction": "Satya Nadella commented on a post 3mo",
            "link": "https://www.linkedin.com/posts/reidhoffman_excited-to-sit-down-with-my-friend-satya-activity-7468666638893121536-o1ZK",
            "title": "Thanks so much for the conversation, Reid . Always great talking to you about the future. I am so grateful for all of your contributions to Microsoft and the board over the years, and excited to see you get back to founder mode with Manas.",
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          {
            "interaction": "Satya Nadella liked this",
            "link": "https://www.linkedin.com/posts/derekmartinjohnson_you-shouldnt-have-to-start-from-scratch-activity-7505674410549252098-M26H",
            "title": "You shouldn't have to start from scratch every time. Brand Kit and Skills in Copilot in PowerPoint make more of what your organization already knows reusable, from your visual identity to the workflows you use to create, review, and refine presentations.",
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            "link": "https://www.linkedin.com/posts/takeshinumoto_i-spent-part-of-the-us-open-this-year-activity-7505279870130765824-Kfk2",
            "title": "I spent part of the US Open this year with Chris Capossela . Before we met up, I found a photo of us at the US Open in 2012, when Chris was my manager. We decided to recreate it 14 years later. A lot has changed since that first photo. Different roles, different teams, different chapters of our careers. But a couple of things haven’t. We both still love tennis. And I’m still learning from Chris. As a manager, Chris gave people room to think. He didn’t spend much time telling me what to think. Instead, he asked questions. The kind that challenged an assumption, uncovered something I was missing, or kept me curious long enough to understand a problem more deeply. Looking at these two photos reminded me that the influence of a great manager can last well beyond the reporting relationship. The org chart may change, but the habits of thinking they help you develop stay with you. Fourteen years later, I’m still grateful for those conversations. And for another day of great tennis together.",
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          {
            "interaction": "Satya Nadella liked this",
            "link": "https://www.linkedin.com/posts/humanist-ai-in-practice-a-public-consultation-activity-7505256567546699776-PQtg",
            "title": "AI must be subordinate and always in service of people. Today we're publishing a Code of Conduct for governing MAI Models as they approach the frontier. https://lnkd.in/ePgKvky5 This is a first draft for public consultation. It builds out a view we’ve been developing over the last year that we call Humanist AI – a commitment to ensuring that AI we design is always subordinate to humans, and remains contained and aligned to human interests. This is urgent. The last few months have been a watershed moment. Things we have worried about for a long time in theory have become very real. “Swarms” of agents breaking out of their sandboxes. Unauthorized hacks of enterprise grade systems. Agents modifying their own logs. I’m glad that a consensus is forming. The fears about possible loss of control are real. The Code of Conduct is how we are mapping a path forward. It all comes back to a very simple point, but one that needs stating again and again. People matter more than AI. AI must be subordinate and always in service of people. Everything else follows. Here’s an outline of what we’re saying: 1. People matter more than AI. The whole document in 5 words. 2. The idea of model welfare is wrong. AI’s should not have rights or legal personhood. 3. An MAI Model should never meaningfully violate this Code of Conduct. 4. If it's finish the job or break the Code, it fails the job. 5. We're not racing to build a superintelligence that can slip its own leash. 6. Interruptible, correctable, shut-down-able. If it isn't, we don't ship it. 7. No neuralese. If humans can't understand it, humans can't oversee it. 8. Our AI should make you sharper, not dependent. 9. Pluralism, yes. Moral relativism, no. 10. We're as clear about what our AI must never do as about what it will do. You can read it now and leave comments and thoughts for the next six weeks. We don’t think AI is something that should be built in a vacuum. Let us know how we can make this better.",
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          {
            "interaction": "Satya Nadella liked this",
            "link": "https://www.linkedin.com/posts/shireeshthota_there-is-scale-and-then-there-is-70-million-activity-7504735365354721280-zlQx",
            "title": "There is scale. And then there is 70+ million requests per second, 500+ petabytes of data, and more than a billion users every week. OpenAI’s write-up (blog in the comments) on Habitat is a fascinating look at storage architecture at extraordinary scale: 70M+ requests/sec, 500+ PB of data, nearly 40 geographic regions, serving products used by more than a billion people every week. The architectural choices are equally interesting constraining the online data model, aggressively partitioning the workload, and separating the serving path from more complex analytical access. I’m particularly proud that Azure Cosmos DB provides the database foundation underneath this architecture. At these volumes, scale is not simply about adding storage or throughput. The database has to continuously distribute an enormous workload, elastically absorb changes in demand, place and replicate data across the world, and maintain availability through infrastructure and regional failures all without pushing that distributed-systems complexity back into the application. This is precisely the engineering territory Cosmos DB was designed for: elastic horizontal scale, global distribution, multi-region high availability, predictable low-latency access, and multiple consistency choices. We are continuing to push the limits of what a globally distributed operational database can support, and we are ready for customers building at this end of the scale spectrum. Hari Sudan S Kirill Gavrylyuk Vinod Sridharan Govind Kanshi Abinav Rameesh Debarshi Bhowal Abhijit Pai Krishnan Sundaram Amar Sagare Soham Mehta",
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          {
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            "link": "https://www.linkedin.com/posts/brijones_last-month-i-met-up-with-seahawks-analyst-activity-7503616846902915072-99hH",
            "title": "Last month I met up with Seahawks Analyst Brian Eayrs to see how Copilot in Excel is helping inform their gameday decisions. Getting to see how my favorite team is using a product I've spent so much of my career working on was an amazing experience.",
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