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Blaise Agüera y Arcas

Google researcher exploring the intersection of biology and computation, particularly in the emergence of self-replicating programs.

Top 3 podcasts with Blaise Agüera y Arcas

Ranked by the Snipd community
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111 snips
Mar 30, 2024 • 56min

128. Are Our Tools Becoming Part of Us?

Blaise Agüera y Arcas, a Google Research Fellow and author of 'Who Are We Now?', shares insights on artificial intelligence and its impact on identity. He recounts designing a groundbreaking algorithm for the U.S. Navy at just 14, revealing how historical innovations like Gutenberg's printing press connect to today's tech landscape. The discussion dives into how AI's evolution raises philosophical questions about consciousness and intelligence, alongside patterns in identity shaped by emerging technologies and social contexts.
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99 snips
Aug 19, 2024 • 1h 21min

286 | Blaise Agüera y Arcas on the Emergence of Replication and Computation

Blaise Agüera y Arcas, Vice President of Engineering at Google, discusses the fascinating intersection of AI, computer simulations, and the origins of life. He explores how randomness in computer models can lead to lifelike self-replication. The conversation reveals insights about the minimalist programming language BrainFuck and its implications for understanding intelligence. Agüera y Arcas also delves into the dynamics of life’s emergence, tying together replication, energy, and computational processes, challenging our perspectives on both life and intelligence.
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Mar 12, 2025 • 1h 10min

Blaise Agüera y Arcas and Michael Levin: The Computational Foundations of Life and Intelligence

Blaise Agüera y Arcas, a Google researcher, and Michael Levin, a Tufts University expert, dive into the fascinating overlap between biology and computation. They reveal how simple rules can produce complex behaviors resembling intelligence, challenging our understanding of life. Levin discusses self-sorting algorithms that mimic adaptive problem-solving, while Agüera y Arcas explores the spontaneous emergence of self-replicating programs. Their groundbreaking insights suggest that information processing is central to both biological and computational systems.