The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore) - podcast episode cover

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

Sep 04, 20251 hr 35 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

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]

For the best experience, listen in Metacast app for iOS or Android