Latent Space: The AI Engineer Podcast — [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

BUZZING· 75%28m·2026-01-02·Technology

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Latent Space: The AI Engineer Podcast

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 1,000 layers deep—unlocking performance gains that the RL community…

Listen now

Buzzmeter · cross-platform

75%

BUZZING

Active swarm energy. Strong reception, real community buzz.

Hive Vote · Skep listeners

New on SkepAwaiting the hive's first votes

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.

Recent reviews

No reviews yet — be the first.

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Rate this episode

More from Latent Space: The AI Engineer Podcast

Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO

🔬Doing Vibe Physics — Alex Lupsasca, OpenAI

🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik