Aravind Srinivas (Perplexity) tells Lex all the ways in which I was right against the prevalent ideas of the time: DL, ConvNets, energy-based models, SSL, the limitation of RL, and now the limitations of auto-regressive generative models including LLMs. Thanks Aravind! youtu.be/mnGUfkMt9fE?...

Yann LeCun is a controversial visionary | Aravind Srinivas and Lex Fridman

YouTube video by Lex Clips

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The total distance flown passengers on US airlines since the last crash is 2.3 light-years. That's about 2.2*10^13 km. The last crash was on Feb 12, 2009. ourworldindata.org/us-airline-t...

US airlines have transported passengers for more than two light-years since the last plane crash

Sometimes, the most important news is when something isn’t happening.

ourworldindata.org

Another thing to be thankful for: the use of AI to help improve climate change models. From The Economist: www.economist.com/science-and-... Free access on archive.org: archive.is/N9uaF

Excellent podcast with Nikhil Kamath in which we cover a lot of topics related to AI and deep learning. www.youtube.com/watch?v=JAgH...

WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4

YouTube video by Nikhil Kamath

youtube.com

WaPo Edito: Be thankful for the applications of AI in medicine. More accurate detection of cancers (breast, prostate, skin, brain), faster diagnosis of strokes, sepsis, heart attacks, faster MRIs, full-body in 40 minutes. Much more to come over the next years. www.washingtonpost.com/opinions/202...

Video of my chat with Gaurav Agarwal on the future of AI, world models, planning/reasoning, the limitations of LLMs, AI as an empirical science, why neural net were shunned. And how countries could jumpstart their AI ecosystem by creating top industry research labs. youtu.be/4V_cJX8sVeM?...

Fireside chat with Yann LeCun hosted by Gaurav Aggarwal, iSPIRT

YouTube video by ProductNation/iSPIRT

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Auto-Regressive LLMs (auto-encoders with causal transformer architectures) and BERT-style models (denoising auto-encoders with transformer archis) are smashing demonstrations of the power of self-supervised (pre-)training. But they only work for sequences of discrete symbols: language, proteins...

Eugene Yan@eugeneyan.com · 2y ago

Also see Karparthy’s take on it

I first showed this "cake" slide in 2016.

Eugene Yan@eugeneyan.com · 2y ago

Eight years later, Yann LeCun’s cake 🍰 analogy was spot on: self-supervised > supervised > RL > “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning (RL).”

“Sky Fortress” is a Ukrainian system of thousands of microphones, listening for the distinctive sounds of Russian low-flying UAVs such as the Shared. They are networked to machine-learning processing nodes, that can send a truck with a .50 cal. gun to an intercept point. 1/3

@ylecun.bsky.social Hi there, bsky dwellers! Here is Messier 51, AKA the Whirlpool Galaxy. Shot from a New Jersey backyard with a Celestron EdgeHD 11", 0.7 reducer, ASI6200MM monochrome camera, off-axis guider. 131 subs, 300 seconds each. HSO mapped to RGB.