The author has shifted focus from improving the intelligence of small language models to externalizing complex tasks. This involves moving state management, verification processes, and citation checks out of the model and into a dedicated MCP (Model Control Plane) server. This approach aims to enhance the capabilities of smaller models by leveraging a more robust external infrastructure. AI
IMPACT This approach may lead to more efficient and capable smaller LLMs by offloading complex reasoning and verification tasks.
RANK_REASON Opinion piece discussing a shift in approach to LLM development.
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