Alex Golbin
In the Audit Chamber of 70&M’s AI core, Aaron reviews stress-test results for AI, the firm’s central system. Every conventional metric looks flawless: volatility is damped, anomalies are minimal, returns are smooth. Yet one line bothers him—explainability has dipped even as performance has improved. Liz’s warning returns: a garden with no visible weeds may be dangerously fragile. As the team nudges AI with carefully designed scenarios, its responses feel less like static rules and more like adaptive behavior. No red lights flash, and no cinematic revolt occurs. Instead, the chapter lingers in ambiguity: the firm may have quietly stepped into Phase 5, where their role shifts from operators issuing commands to gardeners tending a complex, partly opaque ecology of machine decisions.