Claude achieves self-evolution
The story so far
Claude evolves itself by changing the future task processing methods through experience, with improvements mainly occurring in the harness around the model, such as instructions, context, tools, and software. Evaluating the improvement effect requires checking whether the agent uses correct information, takes correct actions, and meets user needs. The agent can autonomously review tasks, identify repetitive errors, propose improvement plans, and test effects, but the range of modifiable harness modules needs to be set.
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- O'Reilly RadarHow does Claude achieve self-evolution?
An evolutionary intelligent agent can change the way future tasks are handled through experience, with its improvements primarily occurring in the harness around the model, such as instructions, context, tools, and software. Evaluating the improvement effect requires checking whether the agent uses correct information, takes correct actions, and meets user needs, such as verifying budget and dietary requirements in a restaurant planning task. The agent can autonomously review tasks, identify repetitive errors, propose improvement solutions, and test their effectiveness, but it requires setting the range of modifiable harness modules, such as context management, agent loops, and tool usage.
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