
![Latent Space: The AI Engineer Podcast — [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton](/_next/image?url=https%3A%2F%2Fmedia.beehiiv.com%2Fcdn-cgi%2Fimage%2Ffit%3Dscale-down%2Cformat%3Dauto%2Conerror%3Dredirect%2Cquality%3D80%2Fuploads%2Fasset%2Ffile%2F2f3e2527-d5f9-4a29-8648-0e790283c657%2Fpodcast_artwork_20261021-235-ffe2l2.jpg%3Ft%3D1792612909&w=3840&q=75)
[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
From undergraduate research seminars at Princeton to winning Best Paper award at NeurIPS 2025, Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach defied conventional wisdom by scaling reinforcement learning networks to ... Full show notes and links
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Latent Space: The AI Engineer Podcast
See all episodes →
🔬Scaling Past Informal AI - Carina Hong, Axiom Math

Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora

Why Agents Love Supabase
Similar episodes from other shows
More like Latent Space: The AI Engineer Podcast →
Richard Sutton – Father of RL thinks LLMs are a dead end

#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning

Setting the stage for 2023

MCP, Agents and What AI Engineers Are Thinking About Right Now feat. Swyx
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.