Antoine Buteau

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Lessons from Chris Bloomstran

Chris Bloomstran, investment chief at Semper Augustus, analyzes corporate valuations and Berkshire Hathaway’s intrinsic value in depth. His framework connects careful business selection, market cycles, and long-term analysis into one disciplined investment process.

Lessons from Dalton Caldwell

Dalton Caldwell, a Y Combinator partner and managing director, has vetted thousands of startup applications. His idea of “tar pit” concepts sharpens how founders evaluate markets, navigate co-founder dynamics, and prioritize customer needs over investor optics.

Lessons from Michael Seibel

Michael Seibel co-founded Justin.tv, which became Twitch, and Socialcam before leading Y Combinator. His blunt counsel urges founders to stop overthinking, launch quickly, speak with users, and endure the unglamorous early work of building a company.

Lessons from Paul Buchheit

Paul Buchheit built Gmail’s first version in a day, coined Google’s original “Don’t be evil” motto, and later became a Y Combinator partner. His ideas probe product design, founder psychology, and why innovation eventually stalls inside large companies.

Lessons from Kevin Systrom

Kevin Systrom, co-founder of Instagram and Artifact, showed how a failing app can be rescued by isolating the feature users truly want. His experience frames a practical study of product design, decisive pivots, and machine learning.

Lessons from Zvi Mowshowitz

Zvi Mowshowitz, writer and former competitive Magic: The Gathering player, analyzes AI safety, bureaucracy, and other complex systems. His observations offer a lens for reading institutional behavior and making decisions when information and incentives remain uncertain.

Lessons from Richard Socher

Richard Socher brought neural networks into mainstream natural language processing, founded MetaMind, served as Salesforce’s chief scientist, and launched You.com. His work connects deep learning with startup execution and questions about search and interaction with AI.

Lessons from Connor Leahy

Connor Leahy, co-founder of EleutherAI and CEO of Conjecture, argues that unchecked AI scaling risks uncontrollable systems. His case for bounded models and tight regulation examines neural-network mechanics, coordination failures, and measures to prevent catastrophe.

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