AI

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Lessons from Mati Staniszewski

Mati Staniszewski, co-founder and CEO of ElevenLabs, works at the forefront of voice AI. His perspective brings together technology, entrepreneurship, and innovation, raising the practical question of how emerging voice systems will shape the future.

Lessons from Cristóbal Valenzuela

Cristóbal Valenzuela, co-founder and CEO of Runway, works where artificial intelligence meets creativity. His ideas examine how AI may reshape art and entertainment, and how increasingly creative technologies could alter the ways people make and experience culture.

Lessons from Scott Wu

Scott Wu, competitive programmer and co-founder and CEO of Cognition, connects a math prodigy’s path with the demands of leading an AI company. His perspective makes learning, problem-solving, and technology’s future central questions worth studying.

Lessons from May Habib

May Habib, co-founder and CEO of Writer, brings a multi-time founder’s perspective to generative AI, entrepreneurship, and the future of work. Her central question is how leaders should understand AI’s transformative power without losing sight of its reality.

Lessons from Sarah Guo

Sarah Guo, founder of Conviction and a former General Partner at Greylock, brings an investor’s vantage point to artificial intelligence, company building, and technological change, asking how firms should navigate AI as a defining new frontier.

Lessons from Alexandr Wang

Alexandr Wang’s focus on vision and strategy raises a foundational operating question: how should a long-range view be translated into coherent choices, priorities, and action without losing sight of the direction that gives those decisions meaning?

Lessons from Kenneth O. Stanley

Kenneth O. Stanley, an AI researcher known for open-endedness and neuroevolution, challenges conventional goal-setting through the “objective paradox”: rigid pursuit of ambitious targets can obstruct the unexpected discoveries required to reach them in practice.

Lessons from Demis Hassabis

Demis Hassabis, co-founder and CEO of Google DeepMind and a Nobel laureate in Chemistry, is a leading artificial intelligence voice whose thinking frames a vital question: what ultimate goal should guide AI’s potential and future trajectory?

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