Podcast: DeepMind Research Director on Text Diffusion Models and RL
ziv_ravid · x · 2026-08-15
zivravid released a new podcast episode with Brendan O'Donoghue, Research Director at Google DeepMind, discussing text diffusion models. Topics include serving cost as the real bottleneck, Gamma diffusion as a good base, diversity aiding RL, samplers as the biggest open problem, hardware trends favoring diffusion, and RL being underhyped.
More from Research
- Discussion on Definitions of Mechanistic vs Causal Models — sirbayes · 2026-08-15
- New England Mech Interpretability workshop kicks off — benno_krojer · 2026-08-15
- Paper Advocates Aligning Language Models with Long-Term User Well-being — 996roma · 2026-08-15
- Paper reveals LM Head as gradient bottleneck amid Anthropic vocab size rumors — JFPuget · 2026-08-15
- Weights Unknown Conference Focuses on Scaling and Agents — DynamicWebPaige · 2026-08-15
- Epoch researcher lists top questions governing AI's global impact — Jsevillamol · 2026-08-15