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.
•The Engineering Mindset in the Age of Distributed Intelligence
As AI transitions into a cognitive partner role, here are insights on the evolving engineering mindset.
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