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Stanford Digital Economy Lab@DigEconLab·4d

What is reinforcement learning? What does one of its most common framings miss? And how did one of its foundational researchers get into the field? 2024 Turing Award winner @RichardSSutton joins Tom on today’s Machine Learning: How Did We Get Here?: open.spotify.com/episode/6b7nCn…

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Stanford Digital Economy Lab@DigEconLab·1d

The Digitalist Papers looks at AI policy from a number of angles, with fresh takes on topics you've already considered and starting new conversations in areas you haven't. Read them all here: DigitalistPapers.com

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Stanford Digital Economy Lab@DigEconLab·1d

How can experimentation shape AI policymaking for the better? @professor_ajay (@rotmanschool) discusses his essay (co-authored with @joshgans) from The Digitalist Papers here: youtube.com/watch?v=Zesl51…

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Stanford Digital Economy Lab@DigEconLab·3d

Lab Director @erikbryn's pressing work with Zoë Hitzig appears today in the @nytimes op-ed "AI is Coming for Politics." See Erik's thread for his thoughts and their paper, and click here for the article: nytimes.com/2026/03/17/opi…

Erik Brynjolfsson@erikbryn

The @nytimes piece today by @ByrneEdsal13590 highlights a concern I share: “If we stay on the current path, the risk of extreme concentration — both economic and political — is very real.” In work with @zhitzig, we ask why AI may shift the balance between dispersed knowledge and centralized control.

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Stanford Digital Economy Lab me-retweet

Erik Brynjolfsson@erikbryn·3d

The @nytimes piece today by @ByrneEdsal13590 highlights a concern I share: “If we stay on the current path, the risk of extreme concentration — both economic and political — is very real.” In work with @zhitzig, we ask why AI may shift the balance between dispersed knowledge and centralized control.

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Joel Becker@joel_bkr·4d

im speaking at @erikbryn's stanford digital economy lab today at noon PT about @METR_Evals time horizon and uplift work. (lots to pack in...) it's open registration -- consider tuning in! x.com/DigEconLab/sta…

Stanford Digital Economy Lab@DigEconLab

Our Seminar Series continues tomorrow when @joel_bkr (@METR_Evals) stops by to discuss the productivity paradox in AI coding! The online seminar is free with registration: digitaleconomy.stanford.edu/event/joel-bec…

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Stanford Digital Economy Lab@DigEconLab·4d

And if you’d like more personal conversations with some of artificial intelligence history’s greatest minds, be sure to rate and subscribe! YouTube: youtube.com/watch?v=n8jRjM… Apple: podcasts.apple.com/us/podcast/rei…

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Stanford Digital Economy Lab@DigEconLab·4d

What is reinforcement learning? What does one of its most common framings miss? And how did one of its foundational researchers get into the field? 2024 Turing Award winner @RichardSSutton joins Tom on today’s Machine Learning: How Did We Get Here?: open.spotify.com/episode/6b7nCn…

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Stanford Digital Economy Lab@DigEconLab·5d

Our Seminar Series continues tomorrow when @joel_bkr (@METR_Evals) stops by to discuss the productivity paradox in AI coding! The online seminar is free with registration: digitaleconomy.stanford.edu/event/joel-bec…

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Stanford Digital Economy Lab me-retweet

Thomas G. Dietterich@tdietterich·9 Mar

I had fun doing this interview with Tom Mitchell. We start with the chaos of early machine learning, travel through the 90s where theory and practice all made sense, and reach the present day where things are once again chaotic!

Stanford Digital Economy Lab@DigEconLab

🎙️New episode of "Machine Learning: How Did We Get Here?" Tom Mitchell sits with @tdietterich (@OregonState) to discuss "The Chaotic Evolution of the Field," the interaction of statisticians with computer scientists, and more! Listen on Spotify: open.spotify.com/episode/1u3GcJ…

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Stanford Digital Economy Lab@DigEconLab·9 Mar

If you enjoy the show, please rate and subscribe wherever you like to listen--your support goes a long way! 🎥Watch on YouTube: youtube.com/watch?v=GyPJSm… ▶️Listen on Apple: podcasts.apple.com/us/podcast/the…

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Stanford Digital Economy Lab@DigEconLab·9 Mar

🎙️New episode of "Machine Learning: How Did We Get Here?" Tom Mitchell sits with @tdietterich (@OregonState) to discuss "The Chaotic Evolution of the Field," the interaction of statisticians with computer scientists, and more! Listen on Spotify: open.spotify.com/episode/1u3GcJ…

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Stanford Institute for Economic Policy Research@SIEPR·7 Mar

.@erikbryn, SIEPR senior fellow and director @DigEconLab, on AI & the economy at the 2026 Economic Summit: Society can achieve widely shared prosperity if there's a division of labor between #AI and humans. Full Summit coverage, including videos, coming soon!

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Stanford Digital Economy Lab@DigEconLab·2 Mar

And if you like the show, subscribe or follow for new conversations with the pioneers of machine learning every Monday!

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Stanford Digital Economy Lab@DigEconLab·2 Mar

Tom's ongoing peek at the personalities and personal stories behind machine learning's history is available wherever you find your podcasts. 🎥Watch on YouTube: youtu.be/urHW2RwPaQQ?si… ▶️Listen on Apple: podcasts.apple.com/us/podcast/a-u…

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Stanford Digital Economy Lab@DigEconLab·2 Mar

🎙️New episode of "Machine Learning: How Did We Get Here?" Tom Mitchell (@CarnegieMellon) and @ylecun, Executive Chairman of AMI Labs and Professor at NYU, discuss how technological advances and commercial forces shaped AI history. Listen on Spotify: open.spotify.com/episode/5AbFcR…

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Stanford Digital Economy Lab@DigEconLab·24 Şub

The first episode features Tom's Carnegie Mellon lecture, "The History of Machine Learning." Also available now is Episode 2, featuring an interview with Nobel Prize in Physics winner Geoffrey Hinton. Check out the link for more info: digitaleconomy.stanford.edu/machine-learni…

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Stanford Digital Economy Lab@DigEconLab·24 Şub

New podcast: Machine Learning: How Did We Get Here? Tom Mitchell, Lab Digital Fellow & Founders University Professor at @CarnegieMellon, traces the history of ML through interviews with the people who built it. Find it on YouTube | Spotify | Apple Podcasts | and more

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Stanford Digital Economy Lab@DigEconLab·23 Şub

A pioneer of the field, Tom brings his personal experience and insight to the tale of machine learning's development, from ancient philosophers to modern day. The talk is part of DEL's Seminar Series, and hosted by the Lab and @StanfordHAI.

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Stanford Digital Economy Lab@DigEconLab·23 Şub

There's still time to register for @CarnegieMellon Founders University Professor Tom Mitchell's seminar on "The History of Machine Learning!" Register here for the talk, streaming live on Zoom at 12pm PT/3pm ET: stanford.zoom.us/webinar/regist…

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Stanford Digital Economy Lab@DigEconLab·19 Şub

As always, all the essays are available to read (for free!) now at DigitalistPapers.com

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Stanford Digital Economy Lab@DigEconLab·19 Şub

We loved the reaction to our Digitalist Papers Volume 2 launch in December, but it doesn't end there! Keep an eye on our YouTube channel for author discussions that expand on the pressing questions about AI and policymaking they're asking: youtu.be/YzKtlgJ96Wk

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Stanford Digital Economy Lab

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