Загрузка видео...

Не удалось загрузить видео

На главную

Co-founder John Collison says Stripe is betting on an agentic commerce future. Most purchases still happen in a browser but that’s changing. With MCP (Model Context Protocol), AI agents can transact directly inside the tools people already use. “It’s kind of funny... an AI can do everything for you,...

52,187 просмотров • 1 год назад •via X (Twitter)

Комментарии: 8

Фото профиля vitrupo
vitrupo1 год назад

Stripe President & co-founder John Collison on CNBC:

Фото профиля Greg Caplan 🚀
Greg Caplan 🚀2 лет назад

Stop wasting time following up with leads. Let our AI agents do it for you.

Фото профиля Connor The "Whiz"
Connor The "Whiz"1 год назад

Still wild how we train AI to run the world but gotta babysit the details. The real win comes when tech handles all the grind so we can just live. That’s the juice.

Фото профиля JD Sharp
JD Sharp1 год назад

and @uncensoreddotai is about to drop the best one

Фото профиля Vertex
Vertex1 год назад

Or, I don’t use AI at all, because I’m not a fucking lazy moron.

Фото профиля Bhaktavaschal Samal
Bhaktavaschal Samal1 год назад

the way he is speaking gives the impression that he is a marketers can say anything about the product funny indeed

Фото профиля Jitendra Kumar Sharma
Jitendra Kumar Sharma1 год назад

..

Фото профиля Springblade 🇺🇸
Springblade 🇺🇸1 год назад

Isn't this what the Rabbit r1 is supposed to be, your AI Agent, able to do all the stuff for you using simple voice commands? Yes, it is!🫡🥰 @rabbit_hmi

Похожие видео

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 просмотров • 1 год назад