Profile 5 min read

Lessons from Alec Radford

Alec Radford was the technical lead behind GPT, CLIP, and Whisper. By applying neural network objectives to massive datasets, he helped establish unsupervised pre-training and demonstrated how disciplined engineering choices can produce surprisingly capable models.
Profile 9 min read

Lessons from Jake Rosser

Jake Rosser founded Coho Capital Management. His investment approach studies long-term compounders and corporate culture, emphasizing capital allocation, research across disciplines, informational inefficiencies, and the conviction required to endure volatile market cycles over time.
Profile 11 min read

Lessons from David Abrams

David Abrams is a cultural ecologist and philosopher studying the relationship between perception and nature. His idea of the more-than-human world reconnects sensory experience and oral culture with practical ways of attending to the living terrain around us.
Profile 7 min read

Lessons from Don Valentine

Don Valentine founded Sequoia Capital and backed companies including Apple, Atari, and Cisco. His market-first approach placed opportunity size above founder résumés, offering a framework for understanding venture investment, company survival, and business mechanics.
Profile 10 min read

Lessons from Shane Legg

Shane Legg co-founded DeepMind and serves as its Chief AGI Scientist. His timeline for human-level AI rests on compute scaling and mathematical definitions of intelligence, linking alignment, search-driven creativity, and societal preparation for superintelligence.
Profile 9 min read

Lessons from Sara Walker

Sara Walker is a theoretical physicist and astrobiologist studying life’s origins and detection beyond Earth. Her Assembly Theory treats life as information propagating through matter, challenging physics and assumptions used to recognize living systems elsewhere.
Profile 9 min read

Lessons from Karl Friston

Karl Friston is a theoretical neuroscientist who created Statistical Parametric Mapping and the Free Energy Principle. His framework casts living systems as prediction-driven and the brain as an active inference machine that continually minimizes sensory surprise.
Profile 8 min read

Lessons from Adam Marblestone

Adam Marblestone is a biophysicist who developed Focused Research Organizations to fund engineering overlooked by grants and venture capital. His work connects institutional design, neuroscience, and funding, asking which structures can unlock neglected projects.

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