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Agentic AI systems are really good at reading code but are not good at reading visual systems. We are using AI video analysis through an MCP to provide visual context to agentic systems.
We propose inference speedups via pruning+SVD and quantization, and improved Chain-of-Thought memory to boost LLM accuracy, efficiency, and long-context reasoning.
Shape Earth’s future one decision at a time. Tackle climate change through bold policy, innovation, and action in a dynamic simulation where every choice sparks real planetary impact.
