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The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]

40:59
 
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Manage episode 515536878 series 2803422
Machine Learning Street Talk (MLST)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Machine Learning Street Talk (MLST) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

"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

  continue reading

237 에피소드

Artwork
icon공유
 
Manage episode 515536878 series 2803422
Machine Learning Street Talk (MLST)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Machine Learning Street Talk (MLST) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

"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

  continue reading

237 에피소드

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