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5. Microsoft Discovery: We’re bringing together the full tech stack to help speed up science itself. Discovery uses agents to generate ideas, simulate results, and learn. A great example is this promising candidate for a coolant that doesn’t rely on forever chemicals.

Satya Nadella

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244,900 görüntüleme • 1 yıl önce •via X (Twitter)

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Today, at Build we showed you how we are building the open agentic web. It is reshaping every layer of the stack, and our goal is to help every dev build apps and agents that empower people and orgs everywhere. Here are 5 big things we announced today:

Satya Nadella profil fotoğrafı

Satya Nadella1 yıl önce

1. Coding agent: We are taking GitHub Copilot from being a pair programmer to peer programmer. You now have a full coding agent built right into GitHub. You can assign it issues – whether it’s bug fixes, new features, or ongoing code maintenance. And it will complete these tasks autonomously.

Satya Nadella profil fotoğrafı

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2. Copilot Tuning: Copilot can now learn your company’s unique tone and language. It is all about taking that expertise you have as a firm and further amplifying it so everyone has access.

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Satya Nadella1 yıl önce

3. Agent factory: Foundry is the complete app platform for building apps and agents. We are adding support for more models from Grok, Hugging Face, Meta, Mistral, and more. Plus: Agentic retrieval in Azure AI Search, Foundry Agent Service, integration with Copilot Studio, and more. And we are ensuring the tools you already use for identity, management, and security will now all extend to agents too. The NFL has already used Foundry, along with our data stack, to run its recent Combine.

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4. NLWeb: This is a new open project that lets you use natural language to interact with any website. Think of it like HTML for the agentic web.

Satya Nadella profil fotoğrafı

Satya Nadella1 yıl önce

You can read more about all of this – and much more – here:

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Microsoft Discovery uses specialized AI agents that reason over scientific knowledge, generate hypotheses, and simulate results all in a continuous loop. One early result? A novel coolant, discovered in 200 hours.

Microsoft Discovery uses specialized AI agents that reason over scientific knowledge, generate hypotheses, and simulate results all in a continuous loop. One early result? A novel coolant, discovered in 200 hours.

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Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

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