Lessons from Lina Khan

Lina Khan shifted the trajectory of modern antitrust law by arguing that monopolies harm more than just consumer prices. Through her academic work and her...

Lessons from Linda Stone

Lessons from Linda Stone Linda Stone spent years as an executive at Apple and Microsoft before leaving to study the physical costs of our relationship with...

Lessons from Jake Stauch

Jake Stauch is an entrepreneur who transitioned from building brain controlled video games for ADHD to co founding Serval, an AI native IT service...

Lessons from Lynn Conway

Lynn Conway changed how microchips are designed by inventing scalable rules that decoupled chip design from manufacturing, allowing anyone to print complex...

Lessons from Marvin Minsky

Lessons from Marvin Minsky Marvin Minsky co founded the MIT Artificial Intelligence Laboratory and authored books like The Society of Mind , arguing that...

Lessons from Mary Meeker

Lessons from Mary Meeker Mary Meeker is a venture capitalist and former Wall Street analyst whose data dense Internet Trends reports tracked the shift from...

Why AI Coding Agents Fail When Software Gets Real

Constraint decay explains why AI coding agents struggle when backend work carries real architectural and database rules. The paper traces how requirements fade across long trajectories and proposes stronger constraints, memory, and verification.

Lessons from Meredith Whittaker

Lessons from Meredith Whittaker Meredith Whittaker is the President of the Signal Foundation, co founder of the AI Now Institute, and a central organizer...

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