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A Google researcher shares novel ideas about life and intelligence as computational processes, sparking thought on AI's fundamental nature.
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
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Google researcher Blaise Agüera y Arcas discusses intelligence and life as computational processes in this Machine Learning Street Talk episode. He argues that life and complexity emerge from code and merging systems, not just random mutation. Agüera y Arcas shares his "BFF" experiment where self-replicating programs evolved from random code, suggesting purpose can arise from randomness.
This episode explores how life and intelligence might be like computer programs. It suggests that complex systems, like living things, can grow and develop by combining with others, similar to how computer code can evolve and become more sophisticated over time.
This episode offers a unique perspective on the fundamental nature of life and intelligence, framing them as computational phenomena. It's for anyone interested in the philosophical underpinnings of AI and biology, particularly those exploring emergent properties. The ideas resonate with current frontier lab research into artificial general intelligence and the origins of complex systems, pushing the boundaries of what we consider 'alive' or 'intelligent'.
- HostTim Scarfe
- GuestBlaise Agüera y ArcasGoogle Researcher, Google
- Guest: Blaise Agüera y Arcas
- Title: Google Researcher Shows Life "Emerges From Code"
- Show: Machine Learning Street Talk
- Length: 60 minutes
- Core Claim: Life and intelligence are fundamentally computational.
- Mechanism for Complexity: Merging of different organisms or systems.
Blaise Agüera y Arcas explores some mind-bending ideas about what intelligence and life really are—and why they might be more similar than we think (filmed at ALIFE conference, 2025 - https://2025.alife.org/).
Life and intelligence are both fundamentally computational (he says). From the very beginning, living things have been running programs. Your DNA? It's literally a computer program, and the ribosomes in your cells are tiny universal computers building you according to those instructions.
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Blaise argues that there is more to evolution than random mutations (like most people think). The secret to increasing complexity is *merging* i.e. when different organisms or systems come together and combine their histories and capabilities.
Blaise describes his "BFF" experiment where random computer code spontaneously evolved into self-replicating programs, showing how purpose and complexity can emerge from pure randomness through computational processes.
https://en.wikipedia.org/wiki/Blaise_Ag%C3%BCera_y_Arcas
https://x.com/blaiseaguera?lang=en
TRANSCRIPT:
https://app.rescript.info/public/share/VX7Gktfr3_wIn4Bj7cl9StPBO1MN4R5lcJ11NE99hLg
TOC:
00:00:00 Introduction - New book "What is Intelligence?"
00:01:45 Life as computation - Von Neumann's insights
00:12:00 BFF experiment - How purpose emerges
00:26:00 Symbiogenesis and evolutionary complexity
00:40:00 Functionalism and consciousness
00:49:45 AI as part of collective human intelligence
00:57:00 Comparing AI and human cognition
REFS:
What is intelligence [Blaise Agüera y Arcas]
https://whatisintelligence.antikythera.org/ [Read free online, interactive rich media]
https://mitpress.mit.edu/9780262049955/what-is-intelligence/ [MIT Press]
Large Language Models and Emergence: A Complex Systems Perspective
https://arxiv.org/abs/2506.11135
Our first Noam Chomsky MLST interview
https://www.youtube.com/watch?v=axuGfh4UR9Q
Chance and Necessity [Jacques Monod]
https://monoskop.org/images/9/99/Monod_Jacques_Chance_and_Necessity.pdf
Wonderful Life: The Burgess Shale and the History of Nature [Stephen Jay Gould]
https://www.amazon.co.uk/Wonderful-Life-Burgess-Nature-History/dp/0099273454
The major evolutionary transitions [E Szathmáry, J M Smith]
https://wiki.santafe.edu/images/0/0e/Szathmary.MaynardSmith_1995_Nature.pdf
Don't Sleep, There Are Snakes: Life and Language in the Amazonian Jungle [Dan Everett]
https://www.amazon.com/Dont-Sleep-There-Are-Snakes/dp/0307386120
The Nature of Technology: What It Is and How It Evolves [W. Brian Arthur]
https://www.amazon.com/Nature-Technology-What-How-Evolves-ebook/dp/B002RI9W16/
The MANIAC [Benjamin Labatut]
https://www.amazon.com/MANIAC-Benjam%C3%ADn-Labatut/dp/1782279814
When We Cease to Understand the World [Benjamin Labatut]
https://www.amazon.com/When-We-Cease-Understand-World/dp/1681375664/
The Boys in the Boat [Dan Brown]
https://www.amazon.com/Boys-Boat-Americans
- Ribosomes
- Blaise Agüera y Arcas
- Tiny biological machines in cells that build proteins based on genetic instructions.
- Universal computers
- Blaise Agüera y Arcas
- Machines capable of performing any computational task, given enough time and memory.
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Questions people ask
- What is Blaise Agüera y Arcas's core argument about life and intelligence?
- He argues that life and intelligence are fundamentally computational, with living things running programs from their DNA, and that complexity increases through merging systems.
- What was the 'BFF' experiment?
- It was an experiment where random computer code evolved into self-replicating programs, demonstrating how purpose and complexity can emerge from randomness.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Machine Learning Street Talk (MLST).





