World Model · podcast knowledge graph

Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl

2026-07-27 · 88 min · 32 entities

episode page audio

Asserted relationships

  • → references Judea Pearl person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Judea_Pearl
  • → references Bayesian Network company
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Bayesian_network
  • → references Alpha–Beta Pruning person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning
  • → references Pearl Vortex person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Pearl_vortex
  • → references Graphoid concept
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Graphoid
  • → references Causality Book person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Causality_(book
  • → hosted by Ryan Peterman person
    0.55
    evidence rules-v5
    Feed author/publisher: Ryan Peterman
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • → references developing.dev website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://developing.dev/
  • → references @Ryanlpeterman website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://tiktok.com/@ryanlpeterman
  • 0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done
  • → references read.compose.llc company
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://read.compose.llc/
  • → references workos.com website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://workos.com/
  • → references Turing Award Winner Early Ai Llm website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://developing.dev/p/turing-award-winner-early-ai-llm
  • → references COEXISTENCE website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://bayes.cs.ucla.edu/COEXISTENCE

Entities found in this episode

persons 12

  • mentioned Judea Pearl person
    0.90
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Judea_Pearl
  • mentioned Alpha–Beta Pruning person
    0.90
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning
  • mentioned Pearl Vortex person
    0.90
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Pearl_vortex
  • mentioned Causality Book person
    0.90
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Causality_(book
  • references Judea Pearl person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Judea_Pearl
  • references Alpha–Beta Pruning person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning
  • references Pearl Vortex person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Pearl_vortex
  • references Causality Book person
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Causality_(book
  • mentioned Ryan Peterman person
    0.70
    evidence rules-v5
    Feed author/publisher: Ryan Peterman
  • hosted by Ryan Peterman person
    0.55
    evidence rules-v5
    Feed author/publisher: Ryan Peterman
  • 0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done
  • 0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done

websites 10

  • mentioned developing.dev website
    0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://developing.dev/
  • mentioned @Ryanlpeterman website
    0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://threads.com/@ryanlpeterman
  • mentioned workos.com website
    0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://workos.com/
  • 0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://developing.dev/p/turing-award-winner-early-ai-llm
  • mentioned COEXISTENCE website
    0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://bayes.cs.ucla.edu/COEXISTENCE
  • references developing.dev website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://developing.dev/
  • references @Ryanlpeterman website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://tiktok.com/@ryanlpeterman
  • references workos.com website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://workos.com/
  • 0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://developing.dev/p/turing-award-winner-early-ai-llm
  • references COEXISTENCE website
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://bayes.cs.ucla.edu/COEXISTENCE

companys 6

  • mentioned Bayesian Network company
    0.90
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Bayesian_network
  • references Bayesian Network company
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Bayesian_network
  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • mentioned read.compose.llc company
    0.45
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://read.compose.llc/
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
  • references read.compose.llc company
    0.38
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://read.compose.llc/

concepts 4

  • mentioned Graphoid concept
    0.90
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Graphoid
  • references Graphoid concept
    0.77
    evidence rules-v5
    Link in episode "Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl": https://en.wikipedia.org/wiki/Graphoid
  • 0.42
    evidence rules-v5
    Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl
  • mentioned LLM concept
    0.35
    evidence rules-v5
    LLM
Episode description as stored
Judea Pearl is a Turing Award winner and a pioneer in artificial intelligence and causal reasoning. We talked about how he got into science, his major breakthroughs and his predictions for AI today. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/FleTXB1fAcQ • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/turing-award-winner-early-ai-llm Thank you to this episode's sponsor for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:54) How he got into AI (11:17) Greatest scientist of all time (20:15) What people thought of AI in the 80s (26:23) Entering academia and researching AI (34:52) The invention of Bayesian networks (46:28) Pioneering work in causality (55:38) The causal hierarchy (59:34) LLMs and predictions (01:20:12) A restless mind pays (01:24:36) Advice for his younger self (01:26:37) Outro Where to find Judea: • X/Twitter: https://twitter.com/yudapearl • Website: https://bayes.cs.ucla.edu/jp_home.html • Wikipedia: https://en.wikipedia.org/wiki/Judea_Pearl Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • The Book of Why: https://en.wikipedia.org/wiki/The_Book_of_Why • Bayesian networks: https://en.wikipedia.org/wiki/Bayesian_network • Alpha-beta pruning: https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning • Pearl vortex: https://en.wikipedia.org/wiki/Pearl_vortex • Graphoid: https://en.wikipedia.org/wiki/Graphoid • Causality: Models, Reasoning, and Inference: https://en.wikipedia.org/wiki/Causality_(book) • Coexistence and Other Fighting Words: Selected Writings of Judea Pearl, 2002–2025: https://bayes.cs.ucla.edu/COEXISTENCE/