Shares how a 3-minute voice prompt led to AI completing a senior scientist's full-day work. Details five management principles—hiring, task delegation, onboarding, process guidance, and product acceptance—that unlock AI's full potential.
How to Stop AI from Slacking Off: Building Systematic Wide Research Capabilities for Codex
Why AI slacks off on large tasks: LLM output length limitations cause attention drift. Wide Research solves this by parallelizing with lightweight models, then aggregating results with a primary LLM.
The Great Debate: Chassis, Handling, and the Future of Driving in EVs vs. ICE Cars
A deep dive into EV vs ICE car chassis engineering, exploring different philosophies: ICE cars shape character through strategic freedom, while EVs fight physics with tactical technology.
Why OpenAI's Apps SDK Signals a Crisis for MCP
Analyzing how OpenAI's Apps SDK extension with _meta field violates MCP's design philosophy, creating dialects that may fragment the standard like SQL or CSS.
Managing AI: The Most Important Promotion of Your Career
Addresses common AI frustrations by reframing them as management problems. When we treat AI as an intern rather than a tool, issues like unreliability, hallucinations, and code quality become solvable through established management principles like trust-building and hierarchy.