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The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

1:34:52
 
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Manage episode 504417136 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.

We are joined by Cristopher Moore, a professor at the Santa Fe Institute with a diverse background in physics, computer science, and machine learning.

The conversation begins with Cristopher, who calls himself a "frog" explaining that he prefers to dive deep into specific, concrete problems rather than taking a high-level "bird's-eye view".

They explore why current AI models, like transformers, are so surprisingly effective. Cristopher argues it's because the real world isn't random; it's full of rich structures, patterns, and hierarchies that these models can learn to exploit, even if we don't fully understand how.

**SPONSORS**

Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!

---

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

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

***

Cristopher Moore:

https://sites.santafe.edu/~moore/

TOC:

00:00:00 - Introduction

00:02:05 - Meet Christopher Moore: A Frog in the World of Science

00:05:14 - The Limits of Transformers and Real-World Data

00:11:19 - Intelligence as Creative Problem-Solving

00:23:30 - Grounding, Meaning, and Shared Reality

00:31:09 - The Nature of Creativity and Aesthetics

00:44:31 - Computational Irreducibility and Universality

00:53:06 - Turing Completeness, Recursion, and Intelligence

01:11:26 - The Universe Through a Computational Lens

01:26:45 - Algorithmic Justice and the Need for Transparency

TRANSCRIPT: https://app.rescript.info/public/share/VRe2uQSvKZOm0oIBoDsrNwt46OMCqRnShVnUF3qyoFk

Filmed at DISI (Diverse Intelligences Summer Institute)

https://disi.org/

REFS:

The Nature of computation [Chris Moore]

https://nature-of-computation.org/

Birds and Frogs [Freeman Dyson]

https://www.ams.org/notices/200902/rtx090200212p.pdf

Replica Theory [Parisi et al]

https://arxiv.org/pdf/1409.2722

Janossy pooling [Fabian Fuchs]

https://fabianfuchsml.github.io/equilibriumaggregation/

Cracking the cryptic [YT channel]

https://www.youtube.com/c/CrackingTheCryptic

Sudoko Bench [Sakana]

https://sakana.ai/sudoku-bench/

Fractured entangled representations “phylogenetic locking in comment” [Kumar/Stanley]

https://arxiv.org/pdf/2505.11581 (see our shows on this)

The War Against Cliché: [Martin Amis]

https://www.amazon.com/War-Against-Cliche-Reviews-1971-2000/dp/0375727167

Rule 110 (CA)

https://mathworld.wolfram.com/Rule150.html

Universality in Elementary Cellular Automata [Matt Cooke]

https://wpmedia.wolfram.com/sites/13/2018/02/15-1-1.pdf

Small Semi-Weakly Universal Turing Machines [Damien Woods]

https://tilde.ini.uzh.ch/users/tneary/public_html/WoodsNeary-FI09.pdf

COMPUTING MACHINERY AND INTELLIGENCE [Turing, 1950]

https://courses.cs.umbc.edu/471/papers/turing.pdf

Comment on Space Time as a causal set [Moore, 88]

https://sites.santafe.edu/~moore/comment.pdf

Recursion Theory on the Reals and Continuous-time Computation [Moore, 96]

  continue reading

231 에피소드

Artwork
icon공유
 
Manage episode 504417136 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.

We are joined by Cristopher Moore, a professor at the Santa Fe Institute with a diverse background in physics, computer science, and machine learning.

The conversation begins with Cristopher, who calls himself a "frog" explaining that he prefers to dive deep into specific, concrete problems rather than taking a high-level "bird's-eye view".

They explore why current AI models, like transformers, are so surprisingly effective. Cristopher argues it's because the real world isn't random; it's full of rich structures, patterns, and hierarchies that these models can learn to exploit, even if we don't fully understand how.

**SPONSORS**

Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!

---

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

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

***

Cristopher Moore:

https://sites.santafe.edu/~moore/

TOC:

00:00:00 - Introduction

00:02:05 - Meet Christopher Moore: A Frog in the World of Science

00:05:14 - The Limits of Transformers and Real-World Data

00:11:19 - Intelligence as Creative Problem-Solving

00:23:30 - Grounding, Meaning, and Shared Reality

00:31:09 - The Nature of Creativity and Aesthetics

00:44:31 - Computational Irreducibility and Universality

00:53:06 - Turing Completeness, Recursion, and Intelligence

01:11:26 - The Universe Through a Computational Lens

01:26:45 - Algorithmic Justice and the Need for Transparency

TRANSCRIPT: https://app.rescript.info/public/share/VRe2uQSvKZOm0oIBoDsrNwt46OMCqRnShVnUF3qyoFk

Filmed at DISI (Diverse Intelligences Summer Institute)

https://disi.org/

REFS:

The Nature of computation [Chris Moore]

https://nature-of-computation.org/

Birds and Frogs [Freeman Dyson]

https://www.ams.org/notices/200902/rtx090200212p.pdf

Replica Theory [Parisi et al]

https://arxiv.org/pdf/1409.2722

Janossy pooling [Fabian Fuchs]

https://fabianfuchsml.github.io/equilibriumaggregation/

Cracking the cryptic [YT channel]

https://www.youtube.com/c/CrackingTheCryptic

Sudoko Bench [Sakana]

https://sakana.ai/sudoku-bench/

Fractured entangled representations “phylogenetic locking in comment” [Kumar/Stanley]

https://arxiv.org/pdf/2505.11581 (see our shows on this)

The War Against Cliché: [Martin Amis]

https://www.amazon.com/War-Against-Cliche-Reviews-1971-2000/dp/0375727167

Rule 110 (CA)

https://mathworld.wolfram.com/Rule150.html

Universality in Elementary Cellular Automata [Matt Cooke]

https://wpmedia.wolfram.com/sites/13/2018/02/15-1-1.pdf

Small Semi-Weakly Universal Turing Machines [Damien Woods]

https://tilde.ini.uzh.ch/users/tneary/public_html/WoodsNeary-FI09.pdf

COMPUTING MACHINERY AND INTELLIGENCE [Turing, 1950]

https://courses.cs.umbc.edu/471/papers/turing.pdf

Comment on Space Time as a causal set [Moore, 88]

https://sites.santafe.edu/~moore/comment.pdf

Recursion Theory on the Reals and Continuous-time Computation [Moore, 96]

  continue reading

231 에피소드

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