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@omarsar0

Don't overcomplicate your AI agents. As an example, here is a minimal and very capable agent for automated theorem proving. The prevailing approach to automated theorem proving involves complex, multi-component systems with heavy computational overhead. But does it need to be that complex? This research introduces a deliberately minimal agent architecture for formal theorem proving. It interfaces with Lean and demonstrates that a streamlined, pared-down approach can achieve competitive performance on proof generation benchmarks. It turns out that simplicity is a feature, not a limitation. By stripping away unnecessary complexity, the agent becomes more reproducible, efficient, and accessible. Sophisticated results don't require sophisticated infrastructure. Paper: https://t.co/3p5MfNQII4 Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

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