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AI agents 10 AI safety 6 Reinforcement learning 6 Agentic AI 4 Diffusion models 4 Recursive self-improvement 4 AI infrastructure 3 Code generation 3 Mechanistic interpretability 3 Reinforcement Learning 3 Scaling laws 3 Synthetic data generation 3 Venture capital 3

13 JUL 2026 · Podcast · Machine Learning Street Talk (MLST)

Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)

Alistair Pullen, CEO of Cosine, discusses the UK's initiative to build a sovereign large language model (LLM) in response to US export controls on frontier AI like Fable. He explains Cosine's strategy to compete with larger labs by focusing…

Sovereign AI development LLM training costs Model architecture design Reinforcement learning AI coding agents Synthetic data generation AI ethics and quality Geopolitics of AI

1 JUL 2026 · Podcast · Latent Space: The AI Engineer Podcast

🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

In this episode of Latent Space, Evan Feinberg and Sergey Edunov of Genesis Molecular AI discuss their pioneering work in applying diffusion models to protein-small molecule interactions for drug discovery. They explain how their foundation…

Diffusion models Protein-ligand binding 3D structure prediction Drug discovery pipeline Synthetic data generation Reinforcement learning Agentic AI platforms ADMET prediction Benchmarking in drug discovery Pharma partnerships GPU bottlenecks Human-AI collaboration

19 JUN 2026 · Podcast · Dwarkesh Podcast

The data black hole at the center of AI

This episode argues that current AI progress is primarily driven by an immense quantity of high-quality, task-specific data, rather than improvements in sample efficiency. The speaker highlights the vast data requirements of frontier models…

Sample efficiency Data distribution Reinforcement Learning Synthetic data generation Human expert trajectories AI training costs Scaling laws White-collar automation AI research automation Evolutionary pre-training Multimodal data