Every week this year, we're getting one step closer to having fully autonomous agents. Not just agents that can do discrete tasks, but agents that are fully autonomous members of your team. Agents working 24 hours a day with no human in the loop. Earlier this year, OpenAI showed us that we already have the technology to fully close that loop. Now we just need to figure out how to make them reliable, secure, and convenient. And the open source community are doing some great things. But my guess is that the fully autonomous, reliable, secure, convenient version of the AI agent is gonna be coming from one of the major model makers: OpenAI, Google, or where my money is right now, anthropic. So I want to talk about two new features that anthropic has added to Claude in the last week that bring us one step closer to these kind of agents. I want to speculate on one other feature that I think
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Every week this year, we're getting one step closer to having fully autonomous agents. Not just agents that can do discrete tasks, but agents that are fully autonomous members of your team. Agents working 24 hours a day with no human in the loop. Earlier this year, OpenAI showed us that we already have the technology to fully close that loop. Now we just need to figure out how to make them reliable, secure, and convenient. And the open source community are doing some great things. But my guess is that the fully...
to be able to communicate with them where we communicate with our team. This feels like another step towards fully integrating them into our communication channels like email and Slack. But to get fully autonomous agents, there's another essential feature that none of the model makers have implemented yet. It's part of what makes open class so magical. It's the ability to update its own instructions and knowledge base. And yes, I know all the major AI models already have memory. However, at least in its current...
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Fully autonomous agents will need maintainable, instruction-rich knowledge bases beyond simple memory files; brand ambassadors may require hundreds of pages of context.
AI agents / knowledge base · asserts
to be able to communicate with them where we communicate with our team. This feels like another step towards fully integrating them into our communication channels like email and Slack. But to get fully autonomous agents, there's another essential feature that none of the model makers have implemented yet. It's part of what makes open class so magical. It...
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