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God’s Eye View V1 is open source. It feels like a spy simulator in your browser -- except the underlying data is real, and you can talk to the planet too. Track planes, ships, satellites, traffic cameras, and critical infrastructure. Use voice mode to ask what’s happening, annotate the...

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Bilawal Sidhu

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110,088 просмотров • 3 дней назад •via X (Twitter)

Наука и технологии
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Asked God’s Eye View to explain why there’s so much military activity in this area -- all using voice, while it sees what I’m seeing on the 3D map. Turns out Fort Rucker is a hot spot for helicopter training. So I jumped into cockpit view to track one of the choppers live in the middle of a drill. IMO gpt-realtime-2 is quite underrated for geospatial apps. Voice is such a natural interface for exploring the world and the data underpinning it. Code is open source if you wanna try it.
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Asked God’s Eye View to explain why there’s so much military activity in this area -- all using voice, while it sees what I’m seeing on the 3D map. Turns out Fort Rucker is a hot spot for helicopter training. So I jumped into cockpit view to track one of the choppers live in the middle of a drill. IMO gpt-realtime-2 is quite underrated for geospatial apps. Voice is such a natural interface for exploring the world and the data underpinning it. Code is open source if you wanna try it.

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Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

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Try this out, it’s really cool! You can sketch a mockup, talk about what it should look like, and in seconds the UI is built. Powered by Groq Inc. Then you can iterate with voice to make improvements. (App is open source, btw 🔥)
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Try this out, it’s really cool! You can sketch a mockup, talk about what it should look like, and in seconds the UI is built. Powered by Groq Inc. Then you can iterate with voice to make improvements. (App is open source, btw 🔥)

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Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

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