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Built a Self Executing Agent Loop that can run 300 agents through 4,000 steps without needing a human to restart the process. - 300 agents. - 4,000 steps per run. - 5 live data feeds. - 3 verification passes. The important part isn't the agent count. It's that the... show more

Ricker

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53,887 次观看 • 3 天前 •via X (Twitter)

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Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Close the loop, give the model a way to verify its own output" In a 20-minute session, an Anthropic Team member breaks down how to build agents that improve themselves The real setup is Claude running through loops, plan mode, and dynamic workflows Better than most $300 agent courses Bookmark and watch the talk Then read the article below

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The model sometimes enters a self-critique loop by itself, but you can trigger this manually, and the model tunes the prompt for itself through self-conversation. [Add e.g., "Verify the image, if it's incorrect, write your own prompt, try again, and repeat the process." ]

The model sometimes enters a self-critique loop by itself, but you can trigger this manually, and the model tunes the prompt for itself through self-conversation. [Add e.g., "Verify the image, if it's incorrect, write your own prompt, try again, and repeat the process." ]

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Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.

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