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Codex 0.107.0 is here, and with it: FORKS🍴 This minor update includes the ability to fork your current chat history directly with custom multi agents with just a quick prompt. "Fork this session using n subagent(s)" This unlocks some interesting use-cases where you can launch multiple agents that retain...

42,504 次观看 • 3 个月前 •via X (Twitter)

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I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

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WAKE UP AMERICA YOU ARE UNDER ATTACK ⛔️ Latest update on the WEF Maui, Lahaina Fires, Hawaii 🔥🚨 ‌ Legislation Passed in Hawaii RIGHT BEFORE & Lockheed Martin is one of the biggest donors of American Red Cross, who is also developing Weapons D.E.W's (Direct Energy Weapons) for Military ‌ “Because when I look at it, when you get into these things and you look at the history, you have so many stories which have been rewritten and then told the different thing. And then if we look at two things with the things with the governor, stuff with the governor and the things that was happening with the governor. ‌ Governor was passing bills just before this so that they can change the zoning. Think about this. They wanted to change the zoning before the event. Then the event occurs and then all of a sudden the people are going to lose their land or have their land taken from them from FEMA. And that's what FEMA does. FEMA comes in there so that they can try to say they're going to save you, just like the Red Cross. ‌ Baloney. And they're trying to say that they're going to help you when they're on the other side. If you look at the largest donator or one of the largest donators on the red Cross, it's Lockheed Martin. ‌ Lockheed Martin, THEY CREATE DEWs, DEWs (Direct Energy Weapons). So if you think about this, if the people who create the weapons are funding the people who come in after the destruction, then do you see what happens? It goes back and forth. And then in the meantime, a new story, a new fairy tale, a new history, whatever you want to say is written. ‌ We start to see this and they take over and then the history is completely lost and all the heritage is gone. The culture is gone. And they slowly keep doing this. AND THEYmVE DONE THIS SO MANY TIMES ‌ Just to see this, just to see just to to feel this through, you could feel the feel through the screen. You could feel it. You could see the pictures and know that something is so wrong ⚠️ ‌ #Hawaii #MauiFires #Lahaina

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