Self-Improving Agents: Applying the Sharpening Framework to Local LLMs
This is the second post in a 100-part series, where we take breakthrough AI papers and turn them into working code building the next generation of AI, one idea at a time.
🔧 Summary
In my previous post, I introduced co_ai a modular implementation of the AI co-scientist concept, inspired by DeepMind’s recent paper Towards an AI Co-Scientist.
But now, we’re going deeper.
This isn’t just about running prompts through an agent system it’s about building something radically different: