Profile 6 min read

Lessons from Cecilia Ziniti

Cecilia Ziniti is GC AI’s founder and CEO and a three-time General Counsel for technology companies including Amazon Alexa, Cruise, and Replit. She argues that generative AI can move in-house legal teams from manual processing toward strategic partnership.
Profile 8 min read

Lessons from Jonathan Ragan-Kelley

Jonathan Ragan-Kelley is an MIT computer scientist building compilers and domain-specific languages for high-performance systems. As a Halide co-creator, he separates algorithms from hardware schedules to extract speed as hardware scaling stalls in modern processors.
Profile 8 min read

Lessons from Tuomas Sandholm

Tuomas Sandholm is a Carnegie Mellon professor applying computational game theory to allocation problems. His work spans multiplayer poker and kidney-donor matching, showing how algorithms can optimize large markets and manage hidden information under uncertainty.
Profile 3 min read

Lessons from Arnold Schwarzenegger

Arnold Schwarzenegger built careers in bodybuilding, Hollywood, and California politics through goals, relentless repetition, and self-promotion. His philosophy joins daily work and recovery from setbacks with personal ambition and a commitment to community service.
Profile 8 min read

Lessons from Nickey Skarstad

Nickey Skarstad is a product leader who built consumer experiences at Duolingo, Airbnb, The Wing, and Etsy. Her work treats product sense as a deliberate, learnable skill grounded in sharper decisions and the everyday craft of product management.
Profile 11 min read

Lessons from David Krueger

David Krueger is a former psychiatrist and psychoanalyst turned executive mentor. He examines how subconscious emotions shape financial behavior, showing why durable changes in wealth and performance require confronting the intertwined psychology of money and identity.
Profile 7 min read

Lessons from Aakanksha Chowdhery

Aakanksha Chowdhery is an AI researcher who led training for Google’s PaLM model and contributed to PaLM-E. Her path from distributed network infrastructure to reinforcement learning for autonomous coding agents reveals the engineering range behind advanced AI systems.
Profile 7 min read

Lessons from Abeba Birhane

Abeba Birhane is a cognitive scientist who audits large AI datasets for their effects on marginalized communities. Her finding that greater scale amplifies toxic content raises a decisive standard: judge technology by how it changes human relationships.

Choose your reading rhythm.

Start with a weekly briefing, add daily notes, or hear only when a durable essay or research update is ready.
You've successfully subscribed to Antoine Buteau
You've successfully subscribed to Antoine Buteau
Welcome back! You've successfully signed in.
Press ESC to close.