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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

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

🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

This episode features Bo Wang and Si Chu from Xaira Therapeutics, discussing their AI drug discovery platform, X-Cell, which uses high-throughput experimentation to generate causal data for predicting cellular responses to genetic perturbat…

AI drug discovery Causal models Gene expression prediction High-throughput experimentation Virtual cell models Protein design Patient stratification Single-cell genomics CRISPR perturbation Diffusion models Biological prior knowledge Model generalization Open science Spatial transcriptomics Temporal cell dynamics

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

28 JUN 2026 · Podcast · Machine Learning Street Talk (MLST)

The First Thermodynamic AI Computing Chip - Thomas Ahle

In this episode, Thomas Ahle discusses the development of thermodynamic computing chips and the challenges of chip design automation using AI agents. He explains how his team built an open-source Verilog simulator with AI collaboration to o…

22 JUN 2026 · Podcast · Machine Learning Street Talk (MLST)

He won a Nobel here for AlphaFold. Then he left. - John Jumper

This episode features John Jumper, co-creator of AlphaFold, discussing the breakthrough in protein structure prediction that won the 2024 Nobel Prize in Chemistry. Jumper explains the technical innovations behind AlphaFold, its impact on bi…

Protein folding AlphaFold architecture Structural biology Machine learning Drug discovery SE(3) invariance Diffusion models AI for science Hybrid AI models Scientific prediction Biological data Training scientists Global research access

20 MAY 2026 · Podcast · "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

The Model Eats the Scaffolding: DeepMind's Logan Kilpatrick & Tulsee Doshi on 3.5 Flash, Omni & More

This episode features Logan Kilpatrick and Tulsee Doshi of Google DeepMind discussing Google's AI strategy and new launches at Google I/O, including Gemini 3.5 Flash, the Omni video generation model, and the Gemini Spark agentic product. Th…

Google I/O launches Gemini 3.5 Flash AI agent infrastructure Multimodal AI Cost-adjusted efficiency Model scaling strategy Agent harness development Product integration Recursive self-improvement AI research collaboration Audio input modalities Context window limits Diffusion models Model psychology Search grounding