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.
Latest Episode
Vibe Coding's Uncanny Valley with Alexandre Pesant - #752 (22.10.2025)
Previous Episodes
- Dataflow Computing for AI Inference with Kunle Olukotun - #751
- Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750
- The Decentralized Future of Private AI with Illia Polosukhin - #749
- Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748
- Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747
- Building an Immune System for AI Generated Software with Animesh Koratana - #746
- Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745
- Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744
- Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743
- Closing the Loop Between AI Training and Inference with Lin Qiao - #742
- Context Engineering for Productive AI Agents with Filip Kozera - #741
- Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
- Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739
- Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738
- Building the Internet of Agents with Vijoy Pandey - #737
- LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736
- 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
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