

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.
Episodes


Building the Internet of Agents with Vijoy Pandey - #737

Building the Internet of Agents with Vijoy Pandey - #737

LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736
In this episode of The TWIML AI Podcast, host Sam Charrington interviews Ben Wellington, Deputy Head of Feature Forecasting at Two Sigma, about how LLMs and GenAI are changing problem-solving approaches in the financial sector. Wellington discusses his background in NLP and how Two Sigma uses features to predict the fu...

Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735

Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734

Google I/O 2025 Special Edition - #733

RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732

From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731

How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730

CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729

Generative Benchmarking with Kelly Hong - #728

Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727

Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726

Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725

Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724

Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722

Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721

Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
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