Yann LeCun, every mention
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every year anyone Alessio Fanelli 7Pim de Witte 3Andrew White 2Thomas Scialom 1Spooks (Swyx) 1Shawn Wang 1Jeremy Howard 1Ethan He 1Benjamin Eysenbach 1
Verbatim, from the transcripts: the passages where Yann LeCun comes up
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
Moonlake: Interactive, Multimodal World Models — with Chris Manning and Fan-yun Sun
- ▶ 16:03 unnamed speaker Um, is there any philosophical differences with the JEPA stuff that, uh, Ian LeCun is working on? 9 times in the scene
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 30:32 Shawn Wang They've directly, like Yakun, uh, has like directly prioritized, like we will have an automated AI researcher.
🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ▶ 7:01 Andrew White But like Jan LeCun was there and like Frank Noe was there, who's a big guy in Europe in this field.
- ▶ 1:02:07 Andrew White Like if Jan LeCun were here and he would make an argument about like, you know, world models or like vision or embodiedness, right?
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
- ▶ 1:02:08 unnamed speaker Second, let's call it the Jan Lekun slash meta school of thought, which I don't know if you're that familiar with it.
[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
- ▶ 8:44 Benjamin Eysenbach The method and the work really stands in some sort of interesting intersection of reinforcement learning and self-supervised learning research, and we had this little figure on the bottom left of the poster, which was the screenshot of a…
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ▶ 1:38 unnamed speaker As you saw on our Fei-Fei Li and Justin Johnson episode with World Labs, and with the recent departure of Yan Le-Kun from Meta, there's a lot of interest in world models as the next frontier after LLMs to improve on spatial intelligence…
- ▶ 44:05 Pim de Witte So I don't know exactly what Jan Lecun is doing today. 3 times in the scene
After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
- ▶ 3:44 unnamed speaker There's been, you know, Young Lagoon is maybe like the most, the biggest proponent, most prominent of it.
Better Data is All You Need — Ari Morcos, Datology
- ▶ 1:14:38 Alessio Fanelli So you have, you know, uh, Yann LeCun as one of your investors, Jeffrey Hinton, Jeff Dean. 7 times in the scene
Scaling Test Time Compute to Multi-Agent Civilizations — Noam Brown, OpenAI
- ▶ 52:20 Spooks (Swyx) Like, Jan LeCun has been
[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
- ▶ 34:35 unnamed speaker Uh, Yang Le Kun always says, you know, they, uh, uh, autoregressive LLMs, once they start on the wrong path, they will continue down the wrong path.
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- ▶ 16:52 Thomas Scialom That's cool to have these problems nowadays compared to probably what Yann LeCun and the others had 30 years ago, but still it's a problem.
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 0:18 unnamed speaker Um, you were, you got your start in computer vision, um, at NYU with, um, Jan LeCun. 2 times in the scene
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 43:54 Jeremy Howard Jan Lequin's saying it's coming.