Tootfinder

Bestätigt: Yann LeCun verlässt Meta
Yann LeCun gründet ein Start-up für Advanced Machine Intelligence. Meta verliert einen der anerkanntesten KI-Experten der Welt.
https://www.heise.de/news/Bestaetigt-Yan…

Yann LeCun is departing Meta; sources: Meta plans to partner with LeCun on his new startup, which will be focused on world models (Bloomberg)
https://www.bloomberg.com/news/articles/2025-11-19/meta-ai-s-lecun-to-announce-exit-s…

A profile of Yann LeCun, Meta's chief AI scientist, who says LLMs are a dead end for reaching AGI and backs world models instead, and is reportedly leaving Meta (Meghan Bobrowsky/Wall Street Journal)
https://www.wsj.com/tech/ai/yann-lecun-ai-

Fox News ran a story based on AI-generated videos about SNAP beneficiaries before correcting the story; Newsmax aired a similar segment with AI-generated clips (Peter Kafka/Business Insider)
https://www.businessinsider.com/fox-ai-fake-snap-meta-yann-lecun-new…

AI fakes are duping Fox News, Newsmax, and ... maybe Meta's AI expert?
We've known for years that AI would be able to make fake video that could dupe us. Now it looks like we're here.

FAIR: Bei Meta im KI-Team grummelt es
Metas KI-Forschungsteam samt Yann LeCun konnte bislang recht unbehelligt in Paris seiner Arbeit nachgehen. Das soll sich ändern.
https://www.heise.de/news/FAIR-Bei-Me…

Sources: Meta Chief AI Scientist Yann LeCun plans to leave in the coming months to found his own startup; a source says he is in early talks to raise funds (Financial Times)
https://www.ft.com/content/c586eb77-a16e-4363-ab0b-e877898b70de

Meta chief AI scientist Yann LeCun plans to exit and launch own start-up
Turing Award winner seeks to depart as Mark Zuckerberg makes ‘superintelligence’ push

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
Yash Kumar Sharma, Vineet Nair, Wilson Naik
https://arxiv.org/abs/2509.08469 ht…

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
The robustness of contrastive self-supervised learning (CSSL) for imbalanced datasets is largely unexplored. CSSL usually makes use of \emph{multi-view} assumptions to learn discriminatory features via similar and dissimilar data samples. CSSL works well on balanced datasets, but does not generalize well for imbalanced datasets. In a very recent paper, as part of future work, Yann LeCun pointed out that the self-supervised multiview framework can be extended to cases involving \emph{more than t…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
Randall Balestriero, Nicolas Ballas, Mike Rabbat, Yann LeCun

Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?
C\'edric Join, Michel Fliess
https://arxiv.org/abs/2509.03721

Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?
This communication on collision avoidance with unexpected obstacles is motivated by some critical appraisals on reinforcement learning (RL) which "requires ridiculously large numbers of trials to learn any new task" (Yann LeCun). We use the classic Dubins' car in order to replace RL with flatness-based control, combined with the HEOL feedback setting, and the latest model-free predictive control approach. The two approaches lead to convincing computer experiments where the results with the mode…

Sources: Meta angered FAIR staff by requiring extra review of research before publishing; Yann LeCun considered resigning over Meta's broader AI changes (The Information)
https://www.theinformation.com/articles/meta-change-publishing-research-…

A Meta Change on Publishing Research Causes a Stir in Its AI Group
In recent weeks, Meta Platforms made a change to its Fundamental Artificial Intelligence Research lab that rubbed members of the group the wrong way: FAIR, as the group is known, would have to undergo additional review of its research before publishing it, according to two people familiar with ...