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MICROSOFT 🔥: Early look at Microsoft Scout Agent for Microsoft Frontier users. Scout agent is designed for work use cases and was recently revealed at Microsoft Build 2026. Features 👀 > Models from OpenAI and Anthropic, including GPT-5.5 and Claude Opus 4.7 > Multi-step automations with support for browser...

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🚨 AI News | TestingCatalog

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38,898 次观看 • 1 个月前 •via X (Twitter)

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man anthropic is absolutely cooking microsoft. claude now works natively in word, powerpoint and excel. thats 450M users but how the fuck did anthropic beat microsoft co-pilot? it gets worse - microsoft blew $13B creating co-pilot and owns 27% of openai yet no sign on chatgpt. - claude has access to SHARED context across excel, word and powerpoint. they know the footprint of microsoft's users - very valuable AI data. - only 15M microsoft users pay for copilot, so its clear they need to go model-agnostic - this is the 3rd major microsoft product to leverage claude (cowork and deep research are the other 2) very impressive execution from anthropic tbh, they are trying to be everywhere and anywhere - its working
0:57

man anthropic is absolutely cooking microsoft. claude now works natively in word, powerpoint and excel. thats 450M users but how the fuck did anthropic beat microsoft co-pilot? it gets worse - microsoft blew $13B creating co-pilot and owns 27% of openai yet no sign on chatgpt. - claude has access to SHARED context across excel, word and powerpoint. they know the footprint of microsoft's users - very valuable AI data. - only 15M microsoft users pay for copilot, so its clear they need to go model-agnostic - this is the 3rd major microsoft product to leverage claude (cowork and deep research are the other 2) very impressive execution from anthropic tbh, they are trying to be everywhere and anywhere - its working

Ejaaz

473,538 次观看 • 3 个月前

An AI engineer at Microsoft has just revealed how their teams build AI agents using Anthropic (Claude). It’s a free 34-minute workshop delivered directly by the Microsoft team. Save it to your favorites and watch it as soon as possible. 🔖 Opus 4.7 + more than 1,400 MCP tools already ready to use. You connect Claude to an agent → add tools → deploy it to production. It’s way more practical and useful than most of those “vibe-coding” courses that sell for 500).
33:50

An AI engineer at Microsoft has just revealed how their teams build AI agents using Anthropic (Claude). It’s a free 34-minute workshop delivered directly by the Microsoft team. Save it to your favorites and watch it as soon as possible. 🔖 Opus 4.7 + more than 1,400 MCP tools already ready to use. You connect Claude to an agent → add tools → deploy it to production. It’s way more practical and useful than most of those “vibe-coding” courses that sell for 500).

me

408,103 次观看 • 1 个月前

📈 Today, we're launching Agent Mode in Excel on Windows and Mac. An Excel Copilot that can work with you and make edits in your spreadsheet like an expert collaborator. We're also introducing a new, multi-model system that supports both GPT models from OpenAI and Claude models from Anthropic. Wanna try Claude Opus 4.5 natively in Microsoft Excel? We've got you. Give it a shot and let me know what you think.
0:46

📈 Today, we're launching Agent Mode in Excel on Windows and Mac. An Excel Copilot that can work with you and make edits in your spreadsheet like an expert collaborator. We're also introducing a new, multi-model system that supports both GPT models from OpenAI and Claude models from Anthropic. Wanna try Claude Opus 4.5 natively in Microsoft Excel? We've got you. Give it a shot and let me know what you think.

Trevor O'Brien

74,821 次观看 • 6 个月前

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses
26:21

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses

Rowan Cheung

268,106 次观看 • 1 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.
0:22

🚨 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 • 1 个月前

Introducing LobeHub: Agent teammates that grow with you. LobeHub is the ultimate space for work and life: to find, build, and collaborate with agent teammates that grow with you. We’re building the world’s first and largest human–agent co-evolving network. Two years ago, we built LobeChat, an open-source interface for using different AI models. Today, LobeChat has 70k+ GitHub stars and serves 6M+ users worldwide. How to fully unlock the power of models has always been a shared mission between us and the community. We started with interaction — a fundamentally new, agent-first experience. Agents are no longer passive tools invoked in a single conversation. They should be proactive, always-on units of work. Treating agents as the minimal atomic unit is also the core of our agent harness infra. Today’s agents are mostly one-off executors. Even with memory, it’s often global — and hallucinates. We build long-term agent teammates that evolve with users. Each agent has its own dedicated memory space, editable by users, allowing humans and agents to co-evolve over time. This, in turn, allows us to design clearer rewards for reinforcement learning and create cleaner environments for continual learning. Agent teammates can work in groups. Through a multi-agent system, agent groups operate faster, more cost-effective, and go beyond what single-agent systems can achieve. For example, a single agent often requires heavy user involvement to proceed step by step, whereas LobeHub can execute the same work from a single instruction, with a supervisor orchestrating agents that run in parallel or debate to produce better results. We are building the collaboration network among agent teammates — and between humans and agent teammates as well. Ease of use matters. AI intelligence and shared human intelligence are equally important. With simple instructions and tool selection, you can effortlessly build and team up with agent coworkers to deliver complex, systematic work — even assembling a quant team to execute trades. Through the LobeHub community, anyone can discover, reuse, and remix agents and agent groups, customizing them to fit their own workflows, preferences, and needs. Last but not least, our vision started with LobeChat: multi-model support is the most efficient approach for users. We believe different models excel in different scenarios. By routing across multiple models, LobeHub improves cost efficiency and unlocks capabilities that a single-model setup cannot easily support.
2:41

Introducing LobeHub: Agent teammates that grow with you. LobeHub is the ultimate space for work and life: to find, build, and collaborate with agent teammates that grow with you. We’re building the world’s first and largest human–agent co-evolving network. Two years ago, we built LobeChat, an open-source interface for using different AI models. Today, LobeChat has 70k+ GitHub stars and serves 6M+ users worldwide. How to fully unlock the power of models has always been a shared mission between us and the community. We started with interaction — a fundamentally new, agent-first experience. Agents are no longer passive tools invoked in a single conversation. They should be proactive, always-on units of work. Treating agents as the minimal atomic unit is also the core of our agent harness infra. Today’s agents are mostly one-off executors. Even with memory, it’s often global — and hallucinates. We build long-term agent teammates that evolve with users. Each agent has its own dedicated memory space, editable by users, allowing humans and agents to co-evolve over time. This, in turn, allows us to design clearer rewards for reinforcement learning and create cleaner environments for continual learning. Agent teammates can work in groups. Through a multi-agent system, agent groups operate faster, more cost-effective, and go beyond what single-agent systems can achieve. For example, a single agent often requires heavy user involvement to proceed step by step, whereas LobeHub can execute the same work from a single instruction, with a supervisor orchestrating agents that run in parallel or debate to produce better results. We are building the collaboration network among agent teammates — and between humans and agent teammates as well. Ease of use matters. AI intelligence and shared human intelligence are equally important. With simple instructions and tool selection, you can effortlessly build and team up with agent coworkers to deliver complex, systematic work — even assembling a quant team to execute trades. Through the LobeHub community, anyone can discover, reuse, and remix agents and agent groups, customizing them to fit their own workflows, preferences, and needs. Last but not least, our vision started with LobeChat: multi-model support is the most efficient approach for users. We believe different models excel in different scenarios. By routing across multiple models, LobeHub improves cost efficiency and unlocks capabilities that a single-model setup cannot easily support.

LobeHub

185,212 次观看 • 6 个月前

BREAKING 🚨 Anthropic just unveiled "Cowork," a major feature that turns Claude into a fully autonomous virtual assistant for everyone. It brings the deep agentic capabilities previously reserved for coders to general users, allowing Claude to perform complex tasks directly on your computer. The tool was built after Anthropic noticed developers using "Claude Code" for everyday admin tasks. Cowork now lets anyone grant Claude access to folders to manage files, research, and complete multi-step workflows independently acting as a digital employee that "does" instead of just chats. Cowork is available today as a research preview for Claude Max subscribers on the macOS app 😡. Claude is releasing new coding/desktop agents much faster than all of there competitors. This launch exposes a massive gap in the current AI landscape: in 2026, Google still explicitly lacks a consumer browser agent, and xAI has yet to release a native CLI or agentic interface. While OpenAI has "Operator" and Google has the developer-focused "Antigravity," Anthropic is now the only other major lab providing a true "do-it-for-me" experience for general users.
0:31

BREAKING 🚨 Anthropic just unveiled "Cowork," a major feature that turns Claude into a fully autonomous virtual assistant for everyone. It brings the deep agentic capabilities previously reserved for coders to general users, allowing Claude to perform complex tasks directly on your computer. The tool was built after Anthropic noticed developers using "Claude Code" for everyday admin tasks. Cowork now lets anyone grant Claude access to folders to manage files, research, and complete multi-step workflows independently acting as a digital employee that "does" instead of just chats. Cowork is available today as a research preview for Claude Max subscribers on the macOS app 😡. Claude is releasing new coding/desktop agents much faster than all of there competitors. This launch exposes a massive gap in the current AI landscape: in 2026, Google still explicitly lacks a consumer browser agent, and xAI has yet to release a native CLI or agentic interface. While OpenAI has "Operator" and Google has the developer-focused "Antigravity," Anthropic is now the only other major lab providing a true "do-it-for-me" experience for general users.

Chris

501,963 次观看 • 6 个月前

📢 BREAKING: Nvidia, Microsoft, and Anthropic announce new strategic AI partnerships of roughly $45 Billion. They struck a 3-way deal where Anthropic commits $30B for Azure compute with capacity up to 1GW, and NVIDIA and Microsoft plan to invest up to $10B and $5B in Anthropic. Claude will scale on Azure using NVIDIA systems, which expands access for enterprises and makes Claude available across the major clouds. Anthropic and NVIDIA will co-design to tune both model stacks and future chips for performance, efficiency, and total cost of ownership, so the models run faster per dollar. The first wave targets NVIDIA Grace Blackwell and Vera Rubin systems, which pair high-bandwidth memory with dense interconnect to push training and inference throughput. Microsoft will expose Anthropic models in Azure AI Foundry, including Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5, so teams can pick latency and cost profiles. Claude will also remain available across the Copilot family, which means coding, document automation, and workflow agents can call the same model line. The 1GW commitment signals many thousands of GPUs worth of capacity, which reduces queue times and stabilizes unit economics for long-running training runs. The joint optimization loop, models shaping chips and chips shaping models, typically yields double-digit efficiency gains over off-the-shelf deployments.
1:10

📢 BREAKING: Nvidia, Microsoft, and Anthropic announce new strategic AI partnerships of roughly $45 Billion. They struck a 3-way deal where Anthropic commits $30B for Azure compute with capacity up to 1GW, and NVIDIA and Microsoft plan to invest up to $10B and $5B in Anthropic. Claude will scale on Azure using NVIDIA systems, which expands access for enterprises and makes Claude available across the major clouds. Anthropic and NVIDIA will co-design to tune both model stacks and future chips for performance, efficiency, and total cost of ownership, so the models run faster per dollar. The first wave targets NVIDIA Grace Blackwell and Vera Rubin systems, which pair high-bandwidth memory with dense interconnect to push training and inference throughput. Microsoft will expose Anthropic models in Azure AI Foundry, including Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5, so teams can pick latency and cost profiles. Claude will also remain available across the Copilot family, which means coding, document automation, and workflow agents can call the same model line. The 1GW commitment signals many thousands of GPUs worth of capacity, which reduces queue times and stabilizes unit economics for long-running training runs. The joint optimization loop, models shaping chips and chips shaping models, typically yields double-digit efficiency gains over off-the-shelf deployments.

Rohan Paul

39,781 次观看 • 8 个月前

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.
1:53

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks

12,707 次观看 • 3 个月前

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?
1:05

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?

Ricardo

92,971 次观看 • 19 天前

Here's what happened with OpenAI and Anthropic this past week (even with OpenAI on company-wide spring break) OpenAI closed $122B funding round at $852B valuation with $2B monthly revenue, launched ChatGPT in Apple CarPlay, acquired media company TBPN, introduced Codex pay-as-you-go pricing for teams with ChatGPT Business price drop, Codex plugin for Claude Code, Vanity Fair reported upcoming policy push for superintelligence era, ChatGPT for Excel now available worldwide except EU consumer plans, executive changes with Fidji Simo on medical leave and Brad Lightcap moving to special projects, hosted disaster response AI workshop in Bangkok, and spotted three suspected new OpenAI image models on Arena codenamed maskingtape, packingtape, and gaffertape Anthropic signed Memorandum of Understanding with Australian government, published emotion interpretability research, released model diffing tool for AI models, acquired Coefficient Bio for about $400M, launched computer use in Claude Code, Claude Code auto mode for Enterprise and API users, Microsoft 365 connectors on all plans, computer use on Windows, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw, plus Claude Code source code leaked via npm map file revealing undercover mode and unreleased features, discovered new "Epitaxy" mode in Claude desktop app, and Claude Code /buddy virtual pet easter egg for April 1st, and more
1:19

Here's what happened with OpenAI and Anthropic this past week (even with OpenAI on company-wide spring break) OpenAI closed $122B funding round at $852B valuation with $2B monthly revenue, launched ChatGPT in Apple CarPlay, acquired media company TBPN, introduced Codex pay-as-you-go pricing for teams with ChatGPT Business price drop, Codex plugin for Claude Code, Vanity Fair reported upcoming policy push for superintelligence era, ChatGPT for Excel now available worldwide except EU consumer plans, executive changes with Fidji Simo on medical leave and Brad Lightcap moving to special projects, hosted disaster response AI workshop in Bangkok, and spotted three suspected new OpenAI image models on Arena codenamed maskingtape, packingtape, and gaffertape Anthropic signed Memorandum of Understanding with Australian government, published emotion interpretability research, released model diffing tool for AI models, acquired Coefficient Bio for about $400M, launched computer use in Claude Code, Claude Code auto mode for Enterprise and API users, Microsoft 365 connectors on all plans, computer use on Windows, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw, plus Claude Code source code leaked via npm map file revealing undercover mode and unreleased features, discovered new "Epitaxy" mode in Claude desktop app, and Claude Code /buddy virtual pet easter egg for April 1st, and more

Tibor Blaho

29,532 次观看 • 3 个月前

$MSFT is trading at a decade-low valuation because the market is focused on the near-term cost of AI while underpricing Microsoft’s role as one of the most important enterprise AI platforms in the world. The bigger shift is that Microsoft may move from only monetizing users to monetizing work where companies eventually pay not just for employee licenses but for the AI work being performed around each employee. That creates a ton of upside if Microsoft can monetize agents, tokens, workflows, security, governance and productivity across the enterprise stack in the new AI economy.
0:50

$MSFT is trading at a decade-low valuation because the market is focused on the near-term cost of AI while underpricing Microsoft’s role as one of the most important enterprise AI platforms in the world. The bigger shift is that Microsoft may move from only monetizing users to monetizing work where companies eventually pay not just for employee licenses but for the AI work being performed around each employee. That creates a ton of upside if Microsoft can monetize agents, tokens, workflows, security, governance and productivity across the enterprise stack in the new AI economy.

Shay Boloor

606,243 次观看 • 1 个月前

We’re thrilled to announce a strategic multi-year partnership with Paul Jankura that will enable global enterprises to develop and scale easy, efficient, and trusted AI products, apps, and workflows powered by the latest state-of-the-art models. Anthropic’s newest Claude 3.5 models will be available for users to securely leverage within Snowflake Cortex AI. With Claude’s industry-leading accuracy and expansive context window, users can build mission-critical AI apps that deliver reliable, factual responses across their entire knowledge base — from customer documentation to technical specifications. Claude will serve as a key large language model powering Snowflake’s agentic AI products, including Snowflake Intelligence and Cortex Analyst, so users can reduce time-to-market and begin seeing value with industry-leading accuracy and scalability.
0:23

We’re thrilled to announce a strategic multi-year partnership with Paul Jankura that will enable global enterprises to develop and scale easy, efficient, and trusted AI products, apps, and workflows powered by the latest state-of-the-art models. Anthropic’s newest Claude 3.5 models will be available for users to securely leverage within Snowflake Cortex AI. With Claude’s industry-leading accuracy and expansive context window, users can build mission-critical AI apps that deliver reliable, factual responses across their entire knowledge base — from customer documentation to technical specifications. Claude will serve as a key large language model powering Snowflake’s agentic AI products, including Snowflake Intelligence and Cortex Analyst, so users can reduce time-to-market and begin seeing value with industry-leading accuracy and scalability.

Snowflake

16,287 次观看 • 1 年前

Locked and loaded 💥 Openwork is now Accomplish v0.3.4 released today (download from link in bio): - Following the announcement from Kimi.ai a couple of hours ago, we are happy to introduce support for Kimi K2.5 with a new Moonshot AI integration! This is a global SOTA model for CUA BrowseComp (74.9%) - Log in with your OpenAI account (using OAuth) instead of providing an API key! This is both more seurce and it allows you to leverage existing OpenAI plan/subscription. - Support for Microsoft Azure AI Foundry thanks to our friends from Microsoft (cheers Ido Frizler!) - Support for LM Studio to run models locally (cheers to Yossi Elkrief LM Studiodevs!) . Try qwen/qwen3-vl-8b! - Support for MiniMax (official), the awesome open source models we love (thanks marcho) - You can now voice chat with openwork, courtesy of ! Thank you Max (Zihan) ZENG! Watch Openwork is now Accomplish one-shotting SOC 2 Compliance gap analysis (scanning your GitHub, Jira, Notion, websites and more):
1:44

Locked and loaded 💥 Openwork is now Accomplish v0.3.4 released today (download from link in bio): - Following the announcement from Kimi.ai a couple of hours ago, we are happy to introduce support for Kimi K2.5 with a new Moonshot AI integration! This is a global SOTA model for CUA BrowseComp (74.9%) - Log in with your OpenAI account (using OAuth) instead of providing an API key! This is both more seurce and it allows you to leverage existing OpenAI plan/subscription. - Support for Microsoft Azure AI Foundry thanks to our friends from Microsoft (cheers Ido Frizler!) - Support for LM Studio to run models locally (cheers to Yossi Elkrief LM Studiodevs!) . Try qwen/qwen3-vl-8b! - Support for MiniMax (official), the awesome open source models we love (thanks marcho) - You can now voice chat with openwork, courtesy of ! Thank you Max (Zihan) ZENG! Watch Openwork is now Accomplish one-shotting SOC 2 Compliance gap analysis (scanning your GitHub, Jira, Notion, websites and more):

Or Hiltch

33,865 次观看 • 6 个月前

Microsoft is about to sue its own golden child. $14 billion invested. Exclusive cloud rights. The most important AI partnership in history. And Sam Altman just went behind their back with a $50 billion Amazon deal. Here's why they're betraying each other: When Microsoft first invested in OpenAI in 2019, they locked in ONE rule above everything else... ALL access to OpenAI's models must go through Microsoft's Azure cloud. No exceptions. That deal made Azure the backbone of the AI revolution. Every company using ChatGPT's API was paying Microsoft for the privilege. It was the smartest infrastructure play of the decade. Then last month, OpenAI quietly signed a deal with Amazon. $50 billion. AWS becomes the exclusive third-party cloud provider for Frontier, OpenAI's new enterprise AI agent platform. $138 billion committed to Amazon cloud services. Microsoft found out and got really angry.... A person familiar with Microsoft's position told the Financial Times today: "We know our contract. We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them." That's basically a declaration of war. And here's where it gets crazy: OpenAI and Amazon are trying to build a technical workaround. A system called the "Stateful Runtime Environment" that runs on Amazon's Bedrock platform. Their argument is that the system "only" handles memory and context for AI agents using enterprise data on AWS. It doesn't technically "invoke" OpenAI's core models through Amazon. Microsoft's response: Bullshit. The workaround violates the spirit of the deal even if it technically dances around the letter. Amazon knows they're on thin ice too. An internal memo leaked showing Amazon told employees exactly what language they can and can't use. They can say Frontier is "powered by OpenAI" or "enabled by OpenAI." But they CANNOT say customers can "access" or "invoke" OpenAI models on AWS. When you're coaching employees on which verbs to avoid, you know you're in trouble. But here's the thing everyone seems to forget: OpenAI is planning an IPO this year. They just closed a $110 billion funding round last month. So if Microsoft sues, the IPO timeline is DEAD. You can't go public while your biggest partner and investor is suing you for breach of contract. Elon Musk is already suing OpenAI separately for abandoning its nonprofit mission. Two active lawsuits from two of the most powerful people in tech. Against one company trying to IPO. Good luck with that S-1 filing. But WHY did Altman do this? Microsoft gave OpenAI everything. Capital. Infrastructure. Distribution. Enterprise customers. And Altman's response was to secretly build an escape route through Amazon... Because he saw what was coming: Microsoft launched Copilot. Their own AI product. Competing directly with ChatGPT. Microsoft started building their own models. Hiring their own AI researchers. Reducing dependency on OpenAI. So Altman did the same thing back. Found another cloud provider. Started building leverage. Both sides were preparing for divorce while still living in the same house. So the $50 billion Amazon deal was just an insurance policy against the day Microsoft decides it doesn't need OpenAI anymore. And Microsoft caught him packing his bags. What happens next: The companies are still talking. Trying to resolve this before Frontier launches. But Microsoft has made their position clear. Litigation is on the table. If this goes to court, it sets a precedent for every AI partnership in the industry. Every cloud deal. Every exclusive licensing agreement. The entire AI infrastructure map gets redrawn. Sam Altman built OpenAI on Microsoft's money, Microsoft's cloud, and Microsoft's trust. Then he signed a $50 billion deal with their biggest competitor. In any other industry they'd call that what it is.
0:28

Microsoft is about to sue its own golden child. $14 billion invested. Exclusive cloud rights. The most important AI partnership in history. And Sam Altman just went behind their back with a $50 billion Amazon deal. Here's why they're betraying each other: When Microsoft first invested in OpenAI in 2019, they locked in ONE rule above everything else... ALL access to OpenAI's models must go through Microsoft's Azure cloud. No exceptions. That deal made Azure the backbone of the AI revolution. Every company using ChatGPT's API was paying Microsoft for the privilege. It was the smartest infrastructure play of the decade. Then last month, OpenAI quietly signed a deal with Amazon. $50 billion. AWS becomes the exclusive third-party cloud provider for Frontier, OpenAI's new enterprise AI agent platform. $138 billion committed to Amazon cloud services. Microsoft found out and got really angry.... A person familiar with Microsoft's position told the Financial Times today: "We know our contract. We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them." That's basically a declaration of war. And here's where it gets crazy: OpenAI and Amazon are trying to build a technical workaround. A system called the "Stateful Runtime Environment" that runs on Amazon's Bedrock platform. Their argument is that the system "only" handles memory and context for AI agents using enterprise data on AWS. It doesn't technically "invoke" OpenAI's core models through Amazon. Microsoft's response: Bullshit. The workaround violates the spirit of the deal even if it technically dances around the letter. Amazon knows they're on thin ice too. An internal memo leaked showing Amazon told employees exactly what language they can and can't use. They can say Frontier is "powered by OpenAI" or "enabled by OpenAI." But they CANNOT say customers can "access" or "invoke" OpenAI models on AWS. When you're coaching employees on which verbs to avoid, you know you're in trouble. But here's the thing everyone seems to forget: OpenAI is planning an IPO this year. They just closed a $110 billion funding round last month. So if Microsoft sues, the IPO timeline is DEAD. You can't go public while your biggest partner and investor is suing you for breach of contract. Elon Musk is already suing OpenAI separately for abandoning its nonprofit mission. Two active lawsuits from two of the most powerful people in tech. Against one company trying to IPO. Good luck with that S-1 filing. But WHY did Altman do this? Microsoft gave OpenAI everything. Capital. Infrastructure. Distribution. Enterprise customers. And Altman's response was to secretly build an escape route through Amazon... Because he saw what was coming: Microsoft launched Copilot. Their own AI product. Competing directly with ChatGPT. Microsoft started building their own models. Hiring their own AI researchers. Reducing dependency on OpenAI. So Altman did the same thing back. Found another cloud provider. Started building leverage. Both sides were preparing for divorce while still living in the same house. So the $50 billion Amazon deal was just an insurance policy against the day Microsoft decides it doesn't need OpenAI anymore. And Microsoft caught him packing his bags. What happens next: The companies are still talking. Trying to resolve this before Frontier launches. But Microsoft has made their position clear. Litigation is on the table. If this goes to court, it sets a precedent for every AI partnership in the industry. Every cloud deal. Every exclusive licensing agreement. The entire AI infrastructure map gets redrawn. Sam Altman built OpenAI on Microsoft's money, Microsoft's cloud, and Microsoft's trust. Then he signed a $50 billion deal with their biggest competitor. In any other industry they'd call that what it is.

Ricardo

209,411 次观看 • 4 个月前

NEW: Microsoft President Brad Smith held a press briefing after today’s No Azure for Apartheid occupation of his office. Asked about Microsoft’s relationship with the Israeli military, Smith said: “The vast majority of what Microsoft does for the Israeli military is protect the cybersecurity of the state of Israel… That is our primary focus. There are some other activities as well. That involve the use of Azure for storage for example, for processing of data.” On August 6, The Guardian, with +972 Magazine and Local Call, revealed that Israel’s Unit 8200 has used Microsoft’s Azure cloud to store and analyze massive volumes of Palestinian phone call data — one of the largest surveillance systems ever built for a civilian population. The data was then used to plan airstrikes on Palestinians in Gaza and the West Bank. Leaked documents show Microsoft executives, including CEO Satya Nadella, knew Unit 8200 was archiving “a million calls an hour” with custom Azure infrastructure. The revelations forced Microsoft into a second external investigation over whether its work with Israel violates its own human rights policies.
15:12

NEW: Microsoft President Brad Smith held a press briefing after today’s No Azure for Apartheid occupation of his office. Asked about Microsoft’s relationship with the Israeli military, Smith said: “The vast majority of what Microsoft does for the Israeli military is protect the cybersecurity of the state of Israel… That is our primary focus. There are some other activities as well. That involve the use of Azure for storage for example, for processing of data.” On August 6, The Guardian, with +972 Magazine and Local Call, revealed that Israel’s Unit 8200 has used Microsoft’s Azure cloud to store and analyze massive volumes of Palestinian phone call data — one of the largest surveillance systems ever built for a civilian population. The data was then used to plan airstrikes on Palestinians in Gaza and the West Bank. Leaked documents show Microsoft executives, including CEO Satya Nadella, knew Unit 8200 was archiving “a million calls an hour” with custom Azure infrastructure. The revelations forced Microsoft into a second external investigation over whether its work with Israel violates its own human rights policies.

Drop Site

177,704 次观看 • 11 个月前

GT Protocol AI Digest No.93: Microsoft Wants AI Everywhere Here are five stories worth your attention 👇 📞 Google Wants to Catch Fake Callers Google's Phone app can now detect when a scammer is pretending to be someone from your contacts. The feature analyzes calls in real time and warns users about potential impersonation attempts. 🤖 Microsoft Builds an OS for AI Devices Microsoft unveiled Project Solara, a new operating system designed specifically for AI-powered gadgets. Instead of apps, the platform is built around AI agents that can perform tasks across devices. 🔓 Meta AI Helped Hack Instagram Accounts Researchers found that Meta's own AI systems could be manipulated into granting access to high-profile Instagram accounts. The incident exposed serious security weaknesses in AI-powered support tools. 📉 The AI Productivity Promise Is Under Pressure A new analysis argues that despite rapid improvements in AI capabilities, the massive productivity gains promised by the industry remain difficult to measure in the real world. 🛒 Amazon Invents Products That Don't Exist Amazon is testing AI-generated product images inside search results. Users may now see items that look real but aren't actually available for purchase.
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GT Protocol AI Digest No.93: Microsoft Wants AI Everywhere Here are five stories worth your attention 👇 📞 Google Wants to Catch Fake Callers Google's Phone app can now detect when a scammer is pretending to be someone from your contacts. The feature analyzes calls in real time and warns users about potential impersonation attempts. 🤖 Microsoft Builds an OS for AI Devices Microsoft unveiled Project Solara, a new operating system designed specifically for AI-powered gadgets. Instead of apps, the platform is built around AI agents that can perform tasks across devices. 🔓 Meta AI Helped Hack Instagram Accounts Researchers found that Meta's own AI systems could be manipulated into granting access to high-profile Instagram accounts. The incident exposed serious security weaknesses in AI-powered support tools. 📉 The AI Productivity Promise Is Under Pressure A new analysis argues that despite rapid improvements in AI capabilities, the massive productivity gains promised by the industry remain difficult to measure in the real world. 🛒 Amazon Invents Products That Don't Exist Amazon is testing AI-generated product images inside search results. Users may now see items that look real but aren't actually available for purchase.

GT Protocol

30,993 次观看 • 1 个月前

OpenAI has introduced a beta feature called Tasks for ChatGPT, allowing users to schedule reminders and actions at future times. This feature includes one-time reminders, recurring tasks such as daily check-ins or weekly reports, and automatic task execution like sending emails or drafting documents. It is seamlessly integrated with ChatGPT's core functions, enabling users to manage their workflows more efficiently. With Tasks, users can automate their routines and ensure they stay on top of commitments, making it an ideal tool for boosting productivity and streamlining work processes. #AI #Productivity #OpenAI #ChatGPT #Automation #FutureTech #Tasks #WorkSmart
0:25

OpenAI has introduced a beta feature called Tasks for ChatGPT, allowing users to schedule reminders and actions at future times. This feature includes one-time reminders, recurring tasks such as daily check-ins or weekly reports, and automatic task execution like sending emails or drafting documents. It is seamlessly integrated with ChatGPT's core functions, enabling users to manage their workflows more efficiently. With Tasks, users can automate their routines and ensure they stay on top of commitments, making it an ideal tool for boosting productivity and streamlining work processes. #AI #Productivity #OpenAI #ChatGPT #Automation #FutureTech #Tasks #WorkSmart

Wissam Hussein

20,675 次观看 • 1 年前

🚨 OG YOUTUBER PEWDIEPIE JUST LAUNCHED A FREE, OPEN-SOURCE AI RIVAL TO CHATGPT AND CLAUDE While ChatGPT and Claude charge users for premium features, PewDiePie’s new AI workspace, Odysseus, is FREE. In his own words, "NO tracking, NO subscriptions, and can be run on your OWN computer." Odysseus is essentially “Claude and ChatGPT’s web UI, but SELF-hosted”, allowing users to run local AI models or use APIs while keeping control of their own data. Odysseus includes: - An AI agent that can find, create, edit and run files - Memory that learns from past conversations - Deep research with follow-up chat - An email client that flags urgent messages and drafts replies - A document editor for writing, formatting and fact-checking - Calendar, to-do notes and search tools - An image editor - “Cookbook,” which scans hardware, recommends local models and helps users run them - Mobile support Its BIGGEST selling point is privacy and control. “All your data is yours, as it should be.” He also made a firm commitment on pricing: “This project will never cost any money.” The launch comes just days after PewDiePie announced he was ENDING his vlogs. Retirement arc is wild.
1:00

🚨 OG YOUTUBER PEWDIEPIE JUST LAUNCHED A FREE, OPEN-SOURCE AI RIVAL TO CHATGPT AND CLAUDE While ChatGPT and Claude charge users for premium features, PewDiePie’s new AI workspace, Odysseus, is FREE. In his own words, "NO tracking, NO subscriptions, and can be run on your OWN computer." Odysseus is essentially “Claude and ChatGPT’s web UI, but SELF-hosted”, allowing users to run local AI models or use APIs while keeping control of their own data. Odysseus includes: - An AI agent that can find, create, edit and run files - Memory that learns from past conversations - Deep research with follow-up chat - An email client that flags urgent messages and drafts replies - A document editor for writing, formatting and fact-checking - Calendar, to-do notes and search tools - An image editor - “Cookbook,” which scans hardware, recommends local models and helps users run them - Mobile support Its BIGGEST selling point is privacy and control. “All your data is yours, as it should be.” He also made a firm commitment on pricing: “This project will never cost any money.” The launch comes just days after PewDiePie announced he was ENDING his vlogs. Retirement arc is wild.

Coin Bureau

73,804 次观看 • 1 个月前