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Yann LeCun’s Billion Dollar Bet

Apply to join Hudson River Trading: https://www.hudsonrivertrading.com/we… Labs Book: https://www.welchlabs.com/resources/a…
Patreon: / welchlabs.

Sections
0:00 — Intro
2:28 — The Problem with Deep Learning
4:17 — Intelligence is a Cake
5:15 — The Rise of Generative AI
8:00 — Blurry Images
8:54 — HRT is an awesome place to work
11:16 — But why so Blurry?
13:30 — Do our models need to be generative?
15:16 — Siamese Networks
17:53 — Representation Collapse
19:54 — Yann’s Epiphany & Barlow Twins
27:22 — DINO
28:58 — JEPA & World Models
34:09 — But is JEPA good?
36:19 — Welch Labs Book.

Special thanks to: Yann LeCun, Stephane Deny, David Fan, Nicolas Ballas.

Clip of Yann from 1989: • Convolutional Network Demo from 1989

CNN Paper: http://yann.lecun.com/exdb/publis/pdf…
LeNet-5 paper: http://vision.stanford.edu/cs598_spri… Dashcam video https://commons.wikimedia.org/wiki/Fi… Image Credits https://en.wikipedia.org/wiki/File: Do… https://commons.wikimedia.org/wiki/Fi… https://commons.wikimedia.org/wiki/Fi… https://commons.wikimedia.org/wiki/Fi… https://commons.wikimedia.org/wiki/Fi… V-JEPA2 Robot Arm Videos https://ai.meta.com/research/vjepa/ PATRONS Juan Benet, Ross Hanson, Yan Babitski, AJ Englehardt, Alvin Khaled, Eduardo Barraza, Hitoshi Yamauchi, Jaewon Jung, Mrgoodlight, Shinichi Hayashi, Sid Sarasvati, Dominic Beaumont, Shannon Prater, Ubiquity Ventures, Matias Forti, Brian Henry, Tim Palade, Petar Vecutin, Nicolas baumann, Jason Singh, Robert Riley, vornska, Barry Silverman, Jake Ehrlich, Mitch Jacobs, Lauren Steely, Jeff Eastman, Rodolfo Ibarra, Clark Barrus, Rob Napier, Andrew White, Richard B Johnston, abhiteja mandava, Burt Humburg, Kevin Mitchell, Daniel Sanchez, Ferdie Wang, Tripp Hill, Richard Harbaugh Jr, Prasad Raje, Kalle Aaltonen, Midori Switch Hound, Zach Wilson, Chris Seltzer, Ven Popov, Hunter Nelson, Amit Bueno, Scott Olsen, Johan Rimez, Shehryar Saroya, Tyler Christensen, Beckett Madden-Woods, Darrell Thomas, Javier Soto, U007D, Caleb Begly, Rick Rubenstein, Brent Hunsaker, Dan Patterson, Tchsurvives, Alex Adai, Walter Reade, Zyansheep, Walter Reade, Duncan Stannett, Reginald Carey, Jean-Manuel Izaret, dh71633, Adrian Rodriguez, Dimitar Stojanovski, Michael Harder, Peter Maldonado, Emily Pesce, David Johnston, Insang Song, FaeTheWolf, Stephen Taylor, KittenKaboodle, EMatter, PATRICKMCCORMACK, John Beahan, Cameron, Cole Jones, Garrett Thornburg, Jeroen W, Rohit Sharma, GlennB, Emmanuel Cortes, Katie Quinn, Karina C, Cakra WW, Mike Ton, Eric Gometz, MacCallister Higgins, Niko Drossos, David Eraso, Tom Zehle, Steve, Brian Lineburg, rjbl, Michael Loh, Perry Vais, Bengal0, Farhad Manjoo, Sara Chipps, Ellis Driscoll, William Taysom, Will Harmon, CK, Abdullah, Peter Cho, Leo Nikora, Griffin Smith, Ash Katnoria, Alex, Markus Hays Nielsen, Catherine H., Vi, David Dobáš, Peter Wang, Sina Sohangir, Danny Thomas, Julian Francis, Hans Adler, Jiayu Peng, Weston M, Youssouf da Silva, John Thomas, Samuel Costello, Sam Adams, Bryan Liles, Malaya Zemlya, Karl, Vahe Andonians, Mike Doughty, Larry Novelo, Jonas Acres, Ludicrum Rex, Robert Blumofe, Anthony Z, Alex Zhao, Dan Babitch, Nikko Patten Supporting code: https://github.com/WelchLabs/videos Created by: Sam Baskin, Pranav Gundu, and Stephen Welch Content ID: CFAQJOTYQHT7JYIT.

Stanford CS25: Transformers United V6 I From Representation Learning to World Modeling

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationApril

April 9, 2026
This seminar covers:
• How world models are increasingly moving away from reconstruction and toward prediction in latent space.
• Two recent JEPA-based approaches that illustrate this shift from complementary angles.

Follow along with the seminar schedule. Visit: https://web.stanford.edu/class/cs25/

Guest Speakers: Hazel Nam & Lucas Maes (Brown University)

Instructors:
• Steven Feng, Stanford Computer Science PhD student and NSERC PGS-D scholar.
• Karan P. Singh, Electrical Engineering PhD student and NSF Graduate Research Fellow in the Stanford Translational AI Lab.
• Michael C. Frank, Benjamin Scott Crocker Professor of Human Biology Director, Symbolic Systems Program.
• Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Co-Founder and Senior Fellow of the Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Stealth switch in tuberculosis enzyme could open route to drug-resistant treatment

Recent research published in Communications Biology marks an advance in structural biology by enhancing understanding of protein regulation mechanisms in Mycobacterium tuberculosis (Mtb), a global health threat. The team led by the University of Melbourne combined several advanced techniques at the Australian Synchrotron and the National Deuteration Facility to reveal the hidden allosteric mechanism that activates a key enzyme, ICL2.

The study opens a target pathway to treat drug-resistant TB with modulators that can interfere with the enzyme’s “on switch.” Traditional drugs often targeted the enzyme’s active site, which is difficult to block effectively.

However, ICL2 is unique to mycobacteria and is essential for the survival of the TB bacterium during infection, especially when it is starved of sugar and forced to live on fats.

CDK1-dependent N-terminal NuMA phosphorylation promotes dynein-dynactin-NuMA assembly for accurate chromosome segregation

Van Toorn et al. show that CDK1-mediated phosphorylation of NuMA at serine 203 promotes stable dynein-dynactin-NuMA assembly in human cells. This mitotic phosphorylation thereby contributes to robust spindle formation and accurate chromosome segregation.

What is “gravitic propulsion” and could the US government hide it?

Learn science whenever and wherever with Brilliant! First 30 days are free and 20% off the annual premium subscription when you use our link ➜ https://brilliant.org/sabine.

The Cybertruck bomber’s mention of a “gravitic device” ignited rumours that the U.S. government might be trying to hide developments in physics, similar to what it did when the country was developing the nuclear bomb. Would that even be possible? Here’s what I think.

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#science #physics #conspiracy

The Unseen Monster Pulling Our Galaxy: The Great Attractor Explained

Welcome back to the Bureau of The Unexplained! 👽🌌 Where we dive into all things weird and unexplained.

Right now, as you sit watching this video, you are hurtling through space. The Milky Way galaxy, along with roughly 100,000 of our neighboring galaxies, is being dragged at millions of miles per hour toward a mysterious, terrifying gravitational anomaly. Scientists call it… The Great Attractor.

For decades, astronomers had no idea what it was. Why? Because it sits directly behind the \.

Genomic and Transcriptomic Approaches Advance the Diagnosis and Prognosis of Neurodegenerative Diseases

Neurodegenerative diseases, such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS), represent a growing societal challenge due to their irreversible progression and significant impact on patients, caregivers, and healthcare systems. Despite advances in clinical and imaging-based diagnostics, these diseases are often detected at advanced stages, limiting the effectiveness of therapeutic interventions. Recent breakthroughs in genomic and transcriptomic technologies, including whole-genome sequencing, single-cell RNA sequencing (scRNA-seq), and CRISPR-based screens, have revolutionized the field, offering new avenues for early diagnosis and personalized prognosis.

Redox chemistry of early Earth and the origin of life

Redox reactions played an important role in shaping the conditions that enabled the emergence of life on the early Earth, but how these relate to specific environmental conditions and whether they led to heterotroph or autotroph organisms remains a matter of debate. In this Review, the authors summarize and discuss evidence reconciling dominant theories — from the redox nature of the Hadean atmosphere and the presence of conditions that could have supported both heterotrophs and chemoautotrophs, to the transport of organic compounds that could have led to the emergence of life in multiple local environments.

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