Free Will, LLMs & Intelligence | Judea Pearl Ep 21 | CausalBanditsPodcast.com

Meet The Godfather of Modern Causal Inference
His work has pretty literally changed the course of my life and I am honored and incredibly grateful we could meet for this great conversation in his home in Los Angeles.
To anybody who knows something about modern causal inference, he needs no introduction,
He loves history, philosophy and music, and I believe it's fair to say that he's the godfather of modern causality.
Ladies & gentlemen, please welcome, professor Judea Pearl.
Join the discussion at causalbanditsp...
About The Guest
Judea Pearl is a computer scientist, and a creator of the Structural Causal Model (SCM) framework for causal inference. In 2011, he has been awarded the Turing Award, the highest distinction in computer science, for his pioneering works on Bayesian networks and graphical causal models and "fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning".
Connect with Judea:
- Judea on Twitter/X: / yudapearl
- Judea's webpage: bayes.cs.ucla....
About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (amzn.to/3QhsRz4).
Connect with Alex:
- Alex on the Internet: bit.ly/aleksan...
Causal Bandits Team
Project Coordinator: Taiba Malik
Video and Audio Editing: Navneet Sharma, Aleksander Molak
#machinelearning #causalai #causalinference #causality
Episode Links
Pearl, J. - "The Book of Why" (amzn.to/4cnyggM)
Kahneman, D. - "Thinking, Fast and Slow" (amzn.to/3X1FbrU)
Molak, A. - "Causal Inference & Discovery in Python" (amzn.to/3M4nDVE)
📖 Causal Inference & Discovery in Python book: amzn.to/3SKRXIw
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✅ About Causal Python with Alex Molak.
Welcome to my official CZcams channel, Causal Python with Alex Molak. Let's dive into the world of Causal AI, exploring Causal Inference and Discovery (with Python).
This is also the home of The Causal Bandits Podcast.

[@CausalPython]

❓Should we build a Causal Experts Network to connect you with other like-minded people in causality?
❗Share your thoughts in the survey: bit.ly/3RM8ziz

[@ChrithBraown]

Thank you so much for putting this together. May we finally put the LLM discussion to rest 🙏

[@stuckeyforpres]

Incredible to see this! Thank you judea pearl for your work and changing my career in analytics

[@NikTuzov]

Best episode ever!👍

[@awadelrahman]

This is going to be amazing!!!!! ❤❤

[@carlomotta2742]

Such an inspiring interview! I really loved the musical ending: what song was that? Also, who is the person mentioned by Judea who said that causality is ascientific, as you can follow the chain of causal links down to the big bang?
Thanks!

[@CausalPython]

Hi Carlo,
I am glad you liked it! Thank you for sharing.
The song is "Shalom Aleichem" -- a traditional 16th/17th century Jewish song that is traditionally sung on Shabbat evening.
The person that called finding causes of effects the "cocktail party chatter" was Donald Rubin. Here's Alex Vasilescu's blog post that briefly discusses this story: www.aiacceleratorinstitute.com/causal-explanations-in-computer-graphics-computer-vision-and-machine-learning/

[@carlomotta2742]

@@CausalPython thank you Aleksander for your reply!