AI

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Lessons from Richard NGO

Richard Ngo, an AI researcher and philosopher with experience at OpenAI and DeepMind, brings technical and philosophical rigor to alignment and governance, asking how humanity can safely navigate the emergence of superintelligent autonomous agents.

Lessons from Burkay Gur

Burkay Gur, co-founder and CEO of fal.ai, builds infrastructure for high-speed generative media, combining experience in high-throughput machine learning with insights on vertical integration, visual communication, and the rigor required to scale AI systems.

Lessons from Michele Catasta

Michele Catasta, president and head of AI at Replit and a former Google Labs and Stanford researcher, works to narrow the gap between human intent and machine execution through autonomous agents and natural-language interfaces.

Lessons from Leopold Aschenbrenner

Leopold Aschenbrenner, a former OpenAI Superalignment researcher and founder of Situational Awareness LP, presents the “Decade of AGI” as both warning and strategic roadmap, asking how an intelligence explosion could reshape geopolitics, security, and human history.

Lessons from Jeffrey Emmanuel

Jeffrey Emanuel is an investor, technologist, and CEO of Lumera Network whose technical analysis of artificial intelligence and semiconductors challenges prevailing assumptions, exemplified by his research questioning the durability of Nvidia’s dominance in AI hardware.

Lessons from Celine Halioua

Celine Halioua centers attention on the biological thesis of aging, inviting close study of aging as a biological process and of the questions that emerge when this premise becomes the starting point for inquiry.

Lessons from Dylan Patel

Dylan Patel, founder and chief analyst of SemiAnalysis, studies semiconductor supply chains and AI infrastructure with technical rigor and contrarian judgment, connecting atomic-level engineering decisions to the vast capital markets they increasingly help shape.

Lessons from Will Manidis

Will Manidis, founder and CEO of ScienceIO, works where healthcare, artificial intelligence, and venture capital meet, asking how to build computable healthcare systems, navigate modern markets, and examine the search for meaning in a secular age.

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