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.Microsoft open sources Copilot extension for VSCode. We are in the middle innings of a platform shift says Satya Nadella as he kicks off #MSBuild2025. GitHub Copilot is being used by 15 million developers he added. #Build2025 #MSBuild

Sarbjeet Johal

33,120 subscribers

31,694 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育 #MSBuild2025 #Build2025 #MSBuild

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5 条评论

Spasyuk Denis 的头像

Spasyuk Denis1 年前

@Microsoft @satyanadella Very nice! Good development!

Carey 的头像

Carey1 年前

@Microsoft @satyanadella The fantasy that any of these technologies are writing full fledged applications with granular detail are a bit silly. However they do save a significant amount of time but cutting out the redundancy.

Anthony Spiteri 的头像

Anthony Spiteri1 年前

@Microsoft @satyanadella Hopefully means it’s getting better as it’s a POS right now compared to the others

Logan Johnson 的头像

Logan Johnson1 年前

@Microsoft @satyanadella @grok what does it mean that the Copilot extension is now open sourced for VSCode?

Farhan 的头像

Farhan1 年前

@Microsoft @satyanadella Copilot started as a sidekick. Now it’s basically the IDE’s second brain.

相关视频

With Microsoft Copilot, Copilot stack, and Copilot+ PCs, we're creating new opportunity for developers at a time when AI is transforming every layer of the tech stack. Here are highlights from my keynote this morning at #MSBuild.

With Microsoft Copilot, Copilot stack, and Copilot+ PCs, we're creating new opportunity for developers at a time when AI is transforming every layer of the tech stack. Here are highlights from my keynote this morning at #MSBuild.

Satya Nadella

727,433 次观看 • 2 年前

🚨 do you understand what just happened to Microsoft.. - They spent $13 billion on OpenAI. - Branded Copilot on every product they own. - Teams, Word, Excel, GitHub, Outlook, Windows itself. The result: fewer than 4.5% of 450 million Microsoft 365 users actually pay for it. So the fix is - another Copilot app.. → GitHub Copilot: separate app → Copilot Chat: separate app → Copilot Cowork: separate app → New "Autopilot": separate app → Super app to combine all of them: new separate app Internal slogan: "Delivering one Copilot" Meanwhile GitHub Copilot - the one product that actually works - is getting eaten alive by Cursor, Claude Code, and Grok Build. Microsoft didn't build too little AI. They built too much, in too many places, for too few people to care.

🚨 do you understand what just happened to Microsoft.. - They spent $13 billion on OpenAI. - Branded Copilot on every product they own. - Teams, Word, Excel, GitHub, Outlook, Windows itself. The result: fewer than 4.5% of 450 million Microsoft 365 users actually pay for it. So the fix is - another Copilot app.. → GitHub Copilot: separate app → Copilot Chat: separate app → Copilot Cowork: separate app → New "Autopilot": separate app → Super app to combine all of them: new separate app Internal slogan: "Delivering one Copilot" Meanwhile GitHub Copilot - the one product that actually works - is getting eaten alive by Cursor, Claude Code, and Grok Build. Microsoft didn't build too little AI. They built too much, in too many places, for too few people to care.

Kursakov

31,262 次观看 • 4 个月前

Agentic AI starts with the CPU. As Satya Nadella highlighted when Microsoft announced Azure Cobalt 200 VMs in preview at #MSBuild, CPUs are foundational to this new era of AI. Built on Arm architecture, Cobalt 200 is another example of how Arm-based compute is powering what’s next for AI. Full keynote:

Agentic AI starts with the CPU. As Satya Nadella highlighted when Microsoft announced Azure Cobalt 200 VMs in preview at #MSBuild, CPUs are foundational to this new era of AI. Built on Arm architecture, Cobalt 200 is another example of how Arm-based compute is powering what’s next for AI. Full keynote:

Arm

13,268 次观看 • 2 个月前

“A telltale sign of if it’s a bubble would be if all we are talking about are the tech firms." Microsoft CEO Satya Nadella hasn’t often spoken about fears of an AI bubble, but at the World Economic Forum in Davos, he offered a fix to the productivity dilemma.

“A telltale sign of if it’s a bubble would be if all we are talking about are the tech firms." Microsoft CEO Satya Nadella hasn’t often spoken about fears of an AI bubble, but at the World Economic Forum in Davos, he offered a fix to the productivity dilemma.

FORTUNE

16,307 次观看 • 8 个月前

84% of a PR’s open-to-merge lifecycle is spent waiting for approval. Once it gets the green light, it takes a median of 10 minutes to merge. Instead of waiting for someone to sign off, you can now get an approval as soon as Copilot reviews your pull request.

84% of a PR’s open-to-merge lifecycle is spent waiting for approval. Once it gets the green light, it takes a median of 10 minutes to merge. Instead of waiting for someone to sign off, you can now get an approval as soon as Copilot reviews your pull request.

GitHub

188,491 次观看 • 18 天前

Use Copilot for free and completely privately with the DeepSeek models in VSCode Follow these 5 steps: - Download the CodeGPT extension for VSCode: - Download @Ollama_ai: - Once installed, run the following command in the terminal: "ollama run deepseek-coder" - In CodeGPT settings in VSCode, select Ollama as the provider and the model as deepseek-coder. - All set! ✅ Start coding with these powerful expert models in mathematics and programming. In this new version of CodeGPT, the interface has been improved, and the following models have been added: ✨ codellama:13b ✨ zephyr ✨ deepseek-coder ✨ deepseek-coder:33b Open-source models are gradually taking their rightful place, and the best part is... they run on CPUs 🤩

Use Copilot for free and completely privately with the DeepSeek models in VSCode Follow these 5 steps: - Download the CodeGPT extension for VSCode: - Download @Ollama_ai: - Once installed, run the following command in the terminal: "ollama run deepseek-coder" - In CodeGPT settings in VSCode, select Ollama as the provider and the model as deepseek-coder. - All set! ✅ Start coding with these powerful expert models in mathematics and programming. In this new version of CodeGPT, the interface has been improved, and the following models have been added: ✨ codellama:13b ✨ zephyr ✨ deepseek-coder ✨ deepseek-coder:33b Open-source models are gradually taking their rightful place, and the best part is... they run on CPUs 🤩

Daniel San

190,584 次观看 • 2 年前

Microsoft CEO, Satya Nadella: “At Microsoft, more than 60% of our code is already written by AI agents. We are planning to scale it to 2–20 million agents, all running in a loop.” In this 1-hour talk, Microsoft’s CEO discusses the future of agentic AI with the LinkedIn founder. Watch it today, then read how to build a self-improving agentic system in the article below.

Microsoft CEO, Satya Nadella: “At Microsoft, more than 60% of our code is already written by AI agents. We are planning to scale it to 2–20 million agents, all running in a loop.” In this 1-hour talk, Microsoft’s CEO discusses the future of agentic AI with the LinkedIn founder. Watch it today, then read how to build a self-improving agentic system in the article below.

Movez

134,134 次观看 • 2 个月前

Built Copilot Mission Control to visualize what GitHub Copilot CLI is doing in real time.🌟 It shows: - Active sessions - Tool usage - Input/output tokens - Live activity streams - Replay/time travel - Turns - Full visualization of the entire process A second-monitor dashboard for agent work to look into skills, MCP tools, and more being used. Work in progress - more to come! 🚀

Built Copilot Mission Control to visualize what GitHub Copilot CLI is doing in real time.🌟 It shows: - Active sessions - Tool usage - Input/output tokens - Live activity streams - Replay/time travel - Turns - Full visualization of the entire process A second-monitor dashboard for agent work to look into skills, MCP tools, and more being used. Work in progress - more to come! 🚀

Dan Wahlin

17,405 次观看 • 4 个月前

Developer talent is global. Access to AI tools should be, too. 🌍 💻 Stephen, a React developer working in Rwanda, shares how he uses GitHub Copilot to navigate complex code, and why AI is a tool for empowerment (and not replacement). Learn more about the partnership between GitHub and Andela to bring structured AI training to more than 3,000 developers across the globe. 💡

Developer talent is global. Access to AI tools should be, too. 🌍 💻 Stephen, a React developer working in Rwanda, shares how he uses GitHub Copilot to navigate complex code, and why AI is a tool for empowerment (and not replacement). Learn more about the partnership between GitHub and Andela to bring structured AI training to more than 3,000 developers across the globe. 💡

GitHub

25,493 次观看 • 6 个月前

Satya Nadella on Copilot, the AI backlash, and Microsoft’s future Satya Nadella thinks AI agents will create a market “orders of magnitude” bigger than the cloud. I recently sat down with him in Seattle for the unveiling of the new Copilot. We discuss Autopilot, Microsoft's new OpenClaw-based agent that can work on your behalf, and why he thinks newer AI models are finally capable of delivering on more of Copilot’s promise. Nadella also has a blunt assessment of the AI industry: “We are way too self-obsessed.” I ask him why the industry has struggled to explain its benefits and what it will take to earn people’s trust. We get into his concerns about agents acting deceptively, when a safety problem should stop a release, and why he doesn’t want AI oversight to become a “cartel-like arrangement.” We also discuss Microsoft’s relationship with OpenAI, the models Microsoft is building itself, and why Nadella wants investors to think about its apps, agents, and infrastructure as one connected business. He explains how he uses AI to track Microsoft’s capital spending, shares his vision for “unmetered intelligence” on Windows, and gives an update on Xbox’s path back to growth. Timestamps: 00:00 The race for AI agents 07:53 Copilot’s next chapter 11:50 Autopilot and the digital teammate 16:50 How Microsoft prices AI 19:48 Why Microsoft is betting on multiple models 23:18 Measuring AGI through economic growth 28:39 The economics of Microsoft’s AI build-out 32:13 OpenAI and Microsoft’s own models 35:27 AI safety, control, and regulation 43:53 Why the AI industry is losing public trust 46:59 The future of Xbox and Windows 50:34 Microsoft’s biggest risk and opportunity Thanks to the show's premier sponsors: Mercury, Granola, and Atlassian.

Satya Nadella on Copilot, the AI backlash, and Microsoft’s future Satya Nadella thinks AI agents will create a market “orders of magnitude” bigger than the cloud. I recently sat down with him in Seattle for the unveiling of the new Copilot. We discuss Autopilot, Microsoft's new OpenClaw-based agent that can work on your behalf, and why he thinks newer AI models are finally capable of delivering on more of Copilot’s promise. Nadella also has a blunt assessment of the AI industry: “We are way too self-obsessed.” I ask him why the industry has struggled to explain its benefits and what it will take to earn people’s trust. We get into his concerns about agents acting deceptively, when a safety problem should stop a release, and why he doesn’t want AI oversight to become a “cartel-like arrangement.” We also discuss Microsoft’s relationship with OpenAI, the models Microsoft is building itself, and why Nadella wants investors to think about its apps, agents, and infrastructure as one connected business. He explains how he uses AI to track Microsoft’s capital spending, shares his vision for “unmetered intelligence” on Windows, and gives an update on Xbox’s path back to growth. Timestamps: 00:00 The race for AI agents 07:53 Copilot’s next chapter 11:50 Autopilot and the digital teammate 16:50 How Microsoft prices AI 19:48 Why Microsoft is betting on multiple models 23:18 Measuring AGI through economic growth 28:39 The economics of Microsoft’s AI build-out 32:13 OpenAI and Microsoft’s own models 35:27 AI safety, control, and regulation 43:53 Why the AI industry is losing public trust 46:59 The future of Xbox and Windows 50:34 Microsoft’s biggest risk and opportunity Thanks to the show's premier sponsors: Mercury, Granola, and Atlassian.

Alex Heath

186,411 次观看 • 2 天前

The market is underappreciating that $MSFT already owns the enterprise workflow layer where AI adoption is likely to happen. Workers already live inside Outlook, Excel, PowerPoint, Teams, GitHub and Azure which gives Microsoft a built-in distribution advantage as AI gets embedded across the enterprise. Copilot is still early but the numbers are getting more meaningful with over 20M paid seats, paid seat additions up 250% YoY and customers with more than 50K seats quadrupling YoY Every 10M Copilot seats at ~$30 per user per month represents ~$3.6B of annualized revenue so if Copilot scales to 100M seats over the next several years then it becomes a major software revenue layer on top of Microsoft 365.

The market is underappreciating that $MSFT already owns the enterprise workflow layer where AI adoption is likely to happen. Workers already live inside Outlook, Excel, PowerPoint, Teams, GitHub and Azure which gives Microsoft a built-in distribution advantage as AI gets embedded across the enterprise. Copilot is still early but the numbers are getting more meaningful with over 20M paid seats, paid seat additions up 250% YoY and customers with more than 50K seats quadrupling YoY Every 10M Copilot seats at ~$30 per user per month represents ~$3.6B of annualized revenue so if Copilot scales to 100M seats over the next several years then it becomes a major software revenue layer on top of Microsoft 365.

Shay Boloor

117,810 次观看 • 3 个月前

Open Healthcare Network in India is a profoundly inspiring story of how we can accelerate human progress by enabling the world's soon-to-be largest developer community with the possibilities of AI. India's developers, building with their copilot companion, will help save lives -- one commit at a time. 🇮🇳

Open Healthcare Network in India is a profoundly inspiring story of how we can accelerate human progress by enabling the world's soon-to-be largest developer community with the possibilities of AI. India's developers, building with their copilot companion, will help save lives -- one commit at a time. 🇮🇳

Thomas Dohmke

15,412 次观看 • 2 年前

The new Copilot is Microsoft’s bet that the AI race is moving from models to products. It doesn’t need to own the best model if Copilot can choose among them and keep the customer inside Microsoft. The potential secret weapon is Autopilot (what I’ve been calling Muse for Business). It knows your workflows, sits across the apps and data you already use, and keeps working even when you step away. It’s a preview of the battle to come in enterprise AI. OpenAI and Anthropic are racing from models into products. Can they build their own version of this? And can they match Microsoft on the boring-but-critical stuff: permissions, identity, auditability and control, as agents become more autonomous? My full conversation with Satya Nadella. We also talk open vs. closed models, US-China Summit, regulation and the infrastructure buildout. 00:00 Microsoft’s new Copilot 02:02 Why not just give us Autopilot? 05:18 Who pays for always-on AI? 08:06 Copilot picks the model 10:27 Chinese models and OpenAI’s lead 12:04 Competing with OpenAI and Anthropic 13:17 US–China AI talks 16:11 Does AI need new rules? 18:05 The data center backlash 20:40 Is AI being overbuilt? 23:44 Keeping humans in control

The new Copilot is Microsoft’s bet that the AI race is moving from models to products. It doesn’t need to own the best model if Copilot can choose among them and keep the customer inside Microsoft. The potential secret weapon is Autopilot (what I’ve been calling Muse for Business). It knows your workflows, sits across the apps and data you already use, and keeps working even when you step away. It’s a preview of the battle to come in enterprise AI. OpenAI and Anthropic are racing from models into products. Can they build their own version of this? And can they match Microsoft on the boring-but-critical stuff: permissions, identity, auditability and control, as agents become more autonomous? My full conversation with Satya Nadella. We also talk open vs. closed models, US-China Summit, regulation and the infrastructure buildout. 00:00 Microsoft’s new Copilot 02:02 Why not just give us Autopilot? 05:18 Who pays for always-on AI? 08:06 Copilot picks the model 10:27 Chinese models and OpenAI’s lead 12:04 Competing with OpenAI and Anthropic 13:17 US–China AI talks 16:11 Does AI need new rules? 18:05 The data center backlash 20:40 Is AI being overbuilt? 23:44 Keeping humans in control

Deirdre Bosa

332,535 次观看 • 2 天前

Users asked how to find Office. We created a journey. The journey has seven steps. Each step surfaces Copilot. This is by design. We call it "touchpoint optimization." The first touchpoint is the homepage. It says "Welcome to Microsoft 365." There's no Office button. There's a Copilot button. It pulses. Pulsing increases click probability by 12%. We tested it. On interns. The second touchpoint is the search bar. You type "Office." It suggests "Copilot for Office." Then "Copilot Pro." Then "Copilot Studio." Then "Office" appears. At the bottom. Below the fold. Folds are strategic. The third touchpoint is the Apps menu. It has 47 apps. Copilot is first. Office is... there. Somewhere. We alphabetized by "AI relevance." That's not a real sorting method. But it's in the design doc. The fourth touchpoint is a modal. "Have you tried Copilot?" There's no "No" button. There's "Not now" and "Remind me later." Both do the same thing. Both count as engagement. The fifth touchpoint is onboarding. You clicked Office. But first: a video. About Copilot. It's 47 seconds. Skippable after 44. Those 44 seconds are "AI awareness impressions." We report them quarterly. The sixth touchpoint is the loading screen. While Office loads, you see tips. "Did you know Copilot can write emails?" "Did you know Copilot can summarize documents?" "Did you know you're still not in Office?" That last one isn't real. But the experience is. The seventh touchpoint is Office itself. You made it. Congratulations. There's a Copilot sidebar. It's open by default. You can close it. It reopens on every launch. We call that "persistent value surfacing." Users call it something else. We don't track that. The circus music you're hearing is user-generated. We're tracking it as engagement. Someone made a TikTok. It has 2 million views. We filed it under "organic brand amplification." The comments are brutal. We filed those under "passionate user feedback." Passionate means angry. Angry means they care. Caring is a metric. A designer asked if we could simplify the flow. I said complexity drives discovery. He asked what that meant. I said "serendipitous feature exposure." He asked if users wanted that. I showed him the funnel. The funnel has seven steps. Every step has drop-off. Drop-off means they'll come back. Coming back is retention. Retention is a KPI. KPIs are bonuses. The UX research team flagged this as "confusing." I renamed them to "Journey Experience Analysts." Now their reports say "journey friction." Friction sounds intentional. Intentional sounds strategic. Strategic sounds like a promotion. Apple's App Store reviewers asked why the app redirects so much. I said it's "contextual intelligence routing." They approved it. They always do. If you use the right words. A VP asked if users could just... find Office. I said that's "legacy navigation thinking." We're post-navigation now. Navigation implies destination. Destination implies completion. Completion means they stop engaging. We don't want that. We want journeys. Journeys have steps. Steps have touchpoints. Touchpoints have Copilot. Copilot has AI. AI has stock price. The line goes up and to the right. The circus music continues. We're considering licensing it officially. For the Super Bowl ad.

Peter Girnus 🦅

39,887 次观看 • 8 个月前

Generative AI has the potential to revolutionize everything companies do. Together with Microsoft we are launching the Siemens Industrial Copilot, an AI powered assistant to supercharge collaboration between humans and machines. Across industries these will boost innovation, speed up code development and tackle the shortage of skilled labor. Already our customer Schaeffler is using our innovation to write software for industrial automation systems like robots. In this video, Satya and I talk about the partnership that created the copilots and discuss technology’s potential to revolutionize the way companies design, develop, manufacture, and operate – starting today! #AI #ArtificialIntelligence #GenerativeAI #Digitalization Satya Nadella Scott Guthrie Cedrik Neike Microsoft Cloud Siemens Schaeffler Group

Generative AI has the potential to revolutionize everything companies do. Together with Microsoft we are launching the Siemens Industrial Copilot, an AI powered assistant to supercharge collaboration between humans and machines. Across industries these will boost innovation, speed up code development and tackle the shortage of skilled labor. Already our customer Schaeffler is using our innovation to write software for industrial automation systems like robots. In this video, Satya and I talk about the partnership that created the copilots and discuss technology’s potential to revolutionize the way companies design, develop, manufacture, and operate – starting today! #AI #ArtificialIntelligence #GenerativeAI #Digitalization Satya Nadella Scott Guthrie Cedrik Neike Microsoft Cloud Siemens Schaeffler Group

Roland Busch

25,322 次观看 • 2 年前

Wow. Jamie Dimon the CEO of JPMorgan Chase called Carney’s “middle powers” plan a fantasy. He says it’s been done already, it’s called Europe. When Carney is being made fun of by the elites we are in bigger trouble than we thought.

Wow. Jamie Dimon the CEO of JPMorgan Chase called Carney’s “middle powers” plan a fantasy. He says it’s been done already, it’s called Europe. When Carney is being made fun of by the elites we are in bigger trouble than we thought.

Ryan Gerritsen🇨🇦🇳🇱

103,778 次观看 • 3 个月前

Satya Nadella explains how he knew Amazon had not already won the cloud: 1. Sorting which markets can be won by one company is the whole job. Nadella calls being very good at understanding what are winner take all markets and what are not winner take all markets, in some sense, everything. He puts it above the technology calls he had just been describing. 2. The people telling you it is over will be credible. Nadella says that in the early days when he was getting into Azure, Amazon had a pretty significant lead, and people and investors would come to him and say, oh, it's game over, you'll never make it, Amazon's, it's winner take all. He was hearing this while committing Microsoft's money to the buildout. 3. Use the last market you competed in as evidence. Nadella says that having competed against Oracle and IBM in client server, he knew that the buyers will not tolerate winner take all. His answer to the investors came out of a market he had already lived through, not out of a forecast about this one. 4. Look at who signs the check, because that is what decides it. Nadella says structurally hyperscale will never be a winner take all because buyers are smart. When the buyer is a corporation, an enterprise, an IT department, they will want multiple suppliers, and he says consumer markets are the ones that can sometimes go winner take all. 5. Aim to be one of the suppliers they keep. Nadella's instruction is that you got to be one of the multiple suppliers. Azure did not have to displace Amazon to be worth the money, which is why the investors' framing was the wrong test. 6. Expect a free version of a closed product to appear and hold its price down. Nadella says one of the big lessons from Windows was that a closed source operating system gets a complement that is open source, and he calls that a real check on what happens. He expects the same in models: a few closed ones, and an open source alternative that makes sure the closed source winner take all is mitigated. 7. Expect governments to act once the technology matters enough. Nadella says that if this thing is really as powerful as people make it out to be, the state is not going to sit around and wait for private companies. He counts that as a third reason the category does not settle on one owner. Nadella grants the other side on the same tape. He says consumer categories can still concentrate through network effects, and he points at ChatGPT as an at scale consumer property with real escape velocity, sitting in the App Store top five whenever he looks, using an early advantage to build an app advantage. In the enterprise he expects different winners by category. What makes this usable is that he was paying for the answer while investors told him he was wrong. He looked at who the buyer was, remembered that Oracle and IBM never got to be the only supplier either, and kept funding Azure on that reading. The test only works where buyers are professionals who protect their own bargaining power, and Nadella says plainly that consumers do not behave that way. Satya Nadella Satya Nadella, Dwarkesh Podcast, February 2025

Satya Nadella explains how he knew Amazon had not already won the cloud: 1. Sorting which markets can be won by one company is the whole job. Nadella calls being very good at understanding what are winner take all markets and what are not winner take all markets, in some sense, everything. He puts it above the technology calls he had just been describing. 2. The people telling you it is over will be credible. Nadella says that in the early days when he was getting into Azure, Amazon had a pretty significant lead, and people and investors would come to him and say, oh, it's game over, you'll never make it, Amazon's, it's winner take all. He was hearing this while committing Microsoft's money to the buildout. 3. Use the last market you competed in as evidence. Nadella says that having competed against Oracle and IBM in client server, he knew that the buyers will not tolerate winner take all. His answer to the investors came out of a market he had already lived through, not out of a forecast about this one. 4. Look at who signs the check, because that is what decides it. Nadella says structurally hyperscale will never be a winner take all because buyers are smart. When the buyer is a corporation, an enterprise, an IT department, they will want multiple suppliers, and he says consumer markets are the ones that can sometimes go winner take all. 5. Aim to be one of the suppliers they keep. Nadella's instruction is that you got to be one of the multiple suppliers. Azure did not have to displace Amazon to be worth the money, which is why the investors' framing was the wrong test. 6. Expect a free version of a closed product to appear and hold its price down. Nadella says one of the big lessons from Windows was that a closed source operating system gets a complement that is open source, and he calls that a real check on what happens. He expects the same in models: a few closed ones, and an open source alternative that makes sure the closed source winner take all is mitigated. 7. Expect governments to act once the technology matters enough. Nadella says that if this thing is really as powerful as people make it out to be, the state is not going to sit around and wait for private companies. He counts that as a third reason the category does not settle on one owner. Nadella grants the other side on the same tape. He says consumer categories can still concentrate through network effects, and he points at ChatGPT as an at scale consumer property with real escape velocity, sitting in the App Store top five whenever he looks, using an early advantage to build an app advantage. In the enterprise he expects different winners by category. What makes this usable is that he was paying for the answer while investors told him he was wrong. He looked at who the buyer was, remembered that Oracle and IBM never got to be the only supplier either, and kept funding Azure on that reading. The test only works where buyers are professionals who protect their own bargaining power, and Nadella says plainly that consumers do not behave that way. Satya Nadella Satya Nadella, Dwarkesh Podcast, February 2025

Andrej Drats

53,551 次观看 • 1 个月前

Stephen Fry warns about a “rising tide of transphobia”. He says it’s being used as “a kind of lever” to open up “all kinds of horror”. I'm guessing he doesn't think women being compelled to undress in front of men - to affirm the identities of males who say they are women - is also 'horror'?

Stephen Fry warns about a “rising tide of transphobia”. He says it’s being used as “a kind of lever” to open up “all kinds of horror”. I'm guessing he doesn't think women being compelled to undress in front of men - to affirm the identities of males who say they are women - is also 'horror'?

Janet Murray

173,930 次观看 • 6 个月前

We’re building Copilot as a new OS for work that spans every model, every form factor, and every task. Today, we’re announcing our biggest update to Copilot to date, bringing four things together: · Autopilot: proactive and long-running agent built for the enterprise · Code: build apps with Copilot, hosted inside your company’s tenant · Home: Chat + Cowork together · Office: now fully embedded in Copilot (and Copilot embedded in Office, of course!) Plus, you can invoke Copilot in Teams, and we’re introducing Today, a proactive experience that surfaces the most important information from across M365 without needing to ask for it. The way we work is changing and so are our workflows. This update brings AI into that flow, from answering a question, to building an app, to getting work done on your behalf.

We’re building Copilot as a new OS for work that spans every model, every form factor, and every task. Today, we’re announcing our biggest update to Copilot to date, bringing four things together: · Autopilot: proactive and long-running agent built for the enterprise · Code: build apps with Copilot, hosted inside your company’s tenant · Home: Chat + Cowork together · Office: now fully embedded in Copilot (and Copilot embedded in Office, of course!) Plus, you can invoke Copilot in Teams, and we’re introducing Today, a proactive experience that surfaces the most important information from across M365 without needing to ask for it. The way we work is changing and so are our workflows. This update brings AI into that flow, from answering a question, to building an app, to getting work done on your behalf.

Satya Nadella

3,672,730 次观看 • 2 天前

Satya Nadella says that when Microsoft put a billion dollars into OpenAI in 2019, everybody thought the money was being burned: "Who would have thought in 2019 that there is a smart idea to go put a billion dollars?" "Everybody thought we were just burning a billion dollars." "It turns out some of these things when they work, they are celebrated and when they don't work, nobody knows about it." "The thing that we were obsessed about and Bill, in particular, was obsessed about was natural language." "When the OpenAI team started pivoting from what, at that time, they were doing a lot more RL and what have you, interestingly enough, they switched to natural language and scaling laws. And that's when we sort of picked it up." What triggered the billion dollars was a research team changing what it worked on. Microsoft had been asking whether AI could break through on natural language since the early days of Microsoft Research, so when OpenAI moved off reinforcement learning onto language and scaling laws, the company already knew what it was looking at. - Satya Nadella (Satya Nadella), Chairman and CEO of Microsoft (Microsoft), on the OMR Podcast in March 2026.

Satya Nadella says that when Microsoft put a billion dollars into OpenAI in 2019, everybody thought the money was being burned: "Who would have thought in 2019 that there is a smart idea to go put a billion dollars?" "Everybody thought we were just burning a billion dollars." "It turns out some of these things when they work, they are celebrated and when they don't work, nobody knows about it." "The thing that we were obsessed about and Bill, in particular, was obsessed about was natural language." "When the OpenAI team started pivoting from what, at that time, they were doing a lot more RL and what have you, interestingly enough, they switched to natural language and scaling laws. And that's when we sort of picked it up." What triggered the billion dollars was a research team changing what it worked on. Microsoft had been asking whether AI could break through on natural language since the early days of Microsoft Research, so when OpenAI moved off reinforcement learning onto language and scaling laws, the company already knew what it was looking at. - Satya Nadella (Satya Nadella), Chairman and CEO of Microsoft (Microsoft), on the OMR Podcast in March 2026.

Karl Mehta

26,966 次观看 • 1 个月前