Відео

Great video. Love the content.

I love this style.

yes I know

Thank you 👍

🎙️ My full conversation with Judea Pearl: bit.ly/3WKV0ln 💡 Interested in causality and AI? Never miss an episode: bit.ly/3YPhAfm

The catch is that now AI will scrape that video and it will become part of AI's new reality.

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!

Best episode ever!👍

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

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

This is going to be amazing!!!!! ❤❤

❓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

Fantastic!!

An awesome interview, thanks!

I think you'll really like Ben Recht on the podcast. He's also interested in indidualized treatment effects (n of 1)

I read scott's papers, I'm really excited about this episode!

Scott is an amazing guy!

Interesting interview.

Great conversation :)

Thank you for democratizing causality!

Thank you, Alex!👍

❗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

❗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

❗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

❗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

❗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

❗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

❗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

What is “an environment” and what is not? Also, will this approach work for time series?

Thank you for another great discussion, Alex!

thx for the episode! One comment: it's bait and switch only if you overpromise in the first place Gen ai is an unrivaled example of this 😅😅😅

❤❤

Full episode: bit.ly/4e2bFIK

Get a copy on Amazon amzn.to/4ccFPav

what is meant by "thinking as imagined space"?

Full episode: bit.ly/451OESh

Thank you!

The guest list continues to get more and more impressive! 😮😮

Holy F dude... "THE" Bernhard Schölkopf. You are doing the lord's work with this podcast

only problem is that if you dig into the latent space, you will find out that even in such space, you have regime changes, restating causal arrow in opposite directions.

only thing is to achieve causality it is expensive, even simply using observational data. often times, association plus domain knowledge is good enough. we don't need to principle every step, like some perfect algorithm. close enough is good enough, especially in a world of limited data. we don't need a hammer for everything. different tools for different situation works too.

"full structural causal model is the holy grail" great episode! thank you!

Loved this episode! spotify and netflix seem to be in the avantgarde of causal ai today

I feel like with the sora commentary, why not fine tune a physically valid version of it? We've been doing this in the language domain to get at factuality, and can surely be done here if the output is rendered as 3D. Just use your strongest physics simulator to provide feedback or do some kind of self play like in alphago.

You are getting more and more big names. I wouldn't be surprised if Imbens will come on soon. I personally would like to see more people using causality with multivariate high stakes settings involving temporal classification. Maybe finance again?

Fascinating conversation. Thanks!

ua-cam.com/video/nT_yCwXSz54/v-deo.html "endless tedious conversations" is my new mantra. Excellent!

Full episode: bit.ly/3wfPy0F Causal Python Newsletter: bit.ly/3wgQVw6

Thanks!👍