Yann LeCun
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
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?...
Thanks Aravind!
youtu.be/mnGUfkMt9fE?...
Yann LeCun is a controversial visionary | Aravind Srinivas and Lex Fridman
YouTube video by Lex Clips
youtu.be
December 15, 2024 at 10:28 PM
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?...
Thanks Aravind!
youtu.be/mnGUfkMt9fE?...
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...
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
December 2, 2024 at 10:20 PM
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...
That's about 2.2*10^13 km. The last crash was on Feb 12, 2009.
ourworldindata.org/us-airline-t...
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
From The Economist: www.economist.com/science-and-...
Free access on archive.org: archive.is/N9uaF
Artificial intelligence is helping improve climate models
More accurate predictions will lead to better policy-making
www.economist.com
November 29, 2024 at 10:27 PM
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
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...
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
www.youtube.com
November 29, 2024 at 7:22 PM
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...
www.youtube.com/watch?v=JAgH...
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...
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...
November 28, 2024 at 7:54 PM
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...
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?...
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
youtu.be
November 27, 2024 at 11:09 PM
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?...
And how countries could jumpstart their AI ecosystem by creating top industry research labs.
youtu.be/4V_cJX8sVeM?...
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...
But they only work for sequences of discrete symbols: language, proteins...
November 24, 2024 at 9:44 PM
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...
But they only work for sequences of discrete symbols: language, proteins...
I first showed this "cake" slide in 2016.
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).”
> “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).”
November 24, 2024 at 9:35 PM
I first showed this "cake" slide in 2016.
Reposted by Yann LeCun
“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
They are networked to machine-learning processing nodes, that can send a truck with a .50 cal. gun to an intercept point.
1/3
November 22, 2024 at 11:20 PM
“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
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.
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.
November 24, 2024 at 9:25 PM
@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.
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.