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Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)
234 episodes
3 days ago
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
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Technology
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All content for Machine Learning Street Talk (MLST) is the property of Machine Learning Street Talk (MLST) and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
Show more...
Technology
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Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas
Machine Learning Street Talk (MLST)
59 minutes 53 seconds
2 weeks ago
Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas

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.


**SPONSOR MESSAGES**

—

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—

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Oct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++

Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlst

Submit investment deck: https://cyber.fund/contact?utm_source=mlst

—


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-Berlin-Olympics/dp/0143125478


[Petter Johansson] (Split brain)

https://www.lucs.lu.se/fileadmin/user_upload/lucs/2011/01/Johansson-et-al.-2006-How-Something-Can-Be-Said-About-Telling-More-Than-We-Can-Know.pdf


If Anyone Builds It, Everyone Dies [Eliezer Yudkowsky, Nate Soares]

https://www.amazon.com/Anyone-Builds-Everyone-Dies-Superhuman/dp/0316595640


The science of cycology

https://link.springer.com/content/pdf/10.3758/bf03195929.pdf


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Machine Learning Street Talk (MLST)
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).