Engineering Robust Intelligence in AI Collectives
How to engineer resilient decision-making in multi-agent AI systems. Explores weighted voting, robust aggregation, and governance architectures with mathematical frameworks and practical implementation ideas.
•Adversarial Intuition: Engineering Anti-Fragile Decision-Making in Human-LLM Systems
How engineers can develop frameworks for decision-making that become stronger when LLM systems fail, building cognitive resilience through adversarial thinking and dynamic trust calibration.
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