Neel Somani is a technologist and founder with a background in quantitative finance and blockchain. Formerly a commodities quant at Citadel, he studied computer science, math, and business at UC Berkeley and now works in AI and research.
Most obvious upgrades fail because substitution is a curve shaped by switching costs, incentives, and sticky market effects, not a clean head-to-head feature comparison.
After years of watching smart teams mistake sampling for safety, I no longer ask how many AI tests we ran, only which failures we have made impossible by design.