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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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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/).
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Technology
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The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]
Machine Learning Street Talk (MLST)
40 minutes 59 seconds
1 week ago
The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]

"What is life?" - asks Chris Kempes, a professor at the Santa Fe Institute.


Chris explains that scientists are moving beyond a purely Earth-based, biological view and are searching for a universal theory of life that could apply to anything, anywhere in the universe. He proposes that things we don't normally consider "alive"—like human culture, language, or even artificial intelligence; could be seen as life forms existing on different "substrates".


To understand this, Chris presents a fascinating three-level framework:


- Materials: The physical stuff life is made of. He argues this could be incredibly diverse across the universe, and we shouldn't expect alien life to share our biochemistry.


- Constraints: The universal laws of physics (like gravity or diffusion) that all life must obey, regardless of what it's made of. This is where different life forms start to look more similar.


- Principles: At the highest level are abstract principles like evolution and learning. Chris suggests these computational or "optimization" rules are what truly define a living system.


A key idea is "convergence" – using the example of the eye. It's such a complex organ that you'd think it evolved only once. However, eyes evolved many separate times across different species. This is because the physics of light provides a clear "target", and evolution found similar solutions to the problem of seeing, even with different starting materials.



**SPONSOR MESSAGES**

—

Prolific - Quality data. From real people. For faster breakthroughs.

https://www.prolific.com/?utm_source=mlst

—

Check out NotebookLM from Google here - https://notebooklm.google.com/ - it’s really good for doing research directly from authoritative source material, minimising hallucinations.

—

cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economy

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

—


Prof. Chris Kempes:

https://www.santafe.edu/people/profile/chris-kempes


TRANSCRIPT:

https://app.rescript.info/public/share/Y2cI1i0nX_-iuZitvlguHvaVLQTwPX1Y_E1EHxV0i9I


TOC:

00:00:00 - Introduction to Chris Kempes and the Santa Fe Institute

00:02:28 - The Three Cultures of Science

00:05:08 - What Makes a Good Scientific Theory?

00:06:50 - The Universal Theory of Life

00:09:40 - The Role of Material in Life

00:12:50 - A Hierarchy for Understanding Life

00:13:55 - How Life Diversifies and Converges

00:17:53 - Adaptive Processes and Defining Life

00:19:28 - Functionalism, Memes, and Phylogenies

00:22:58 - Convergence at Multiple Levels

00:25:45 - The Possibility of Simulating Life

00:28:16 - Intelligence, Parasitism, and Spectrums of Life

00:32:39 - Phase Changes in Evolution

00:36:16 - The Separation of Matter and Logic

00:37:21 - Assembly Theory and Quantifying Complexity


REFS:

Developing a predictive science of the biosphere requires the integration of scientific cultures [Kempes et al]

https://www.pnas.org/doi/10.1073/pnas.2209196121


Seeing with an extra sense (“Dangerous prediction”) [Rob Phillips]

https://www.sciencedirect.com/science/article/pii/S0960982224009035


The Multiple Paths to Multiple Life [Christopher P. Kempes & David C. Krakauer]

https://link.springer.com/article/10.1007/s00239-021-10016-2


The Information Theory of Individuality [David Krakauer et al]

https://arxiv.org/abs/1412.2447


Minds, Brains and Programs [Searle]

https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf


The error threshold

https://www.sciencedirect.com/science/article/abs/pii/S0168170204003843


Assembly theory and its relationship with computational complexity [Kempes et al]

https://arxiv.org/abs/2406.12176

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/).