Podcast · 156 episodes
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
by Sam Charrington · English
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 episodes
From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778AI capabilities research and how fast AI is progressing, using math as a test bed.29 Sep 2026 · 1 h 8 min
From Voice Agents to AI Avatars with Alexander Smola - #777Voice AI’s “uncanny valley” problem (latency, interruptions, wrong tone/emotion) and why moving from text/voice to audiovisual avatars requires new real-time engineering, audiovisual tokenization,…16 Sep 2026 · 1 h 5 min
Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776The episode argues that AI progress and value should be measured by token economics (“tokenomics”) and system-level efficiency, not just model benchmarks.9 Sep 2026 · 59 min
All episodes
From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778AI capabilities research and how fast AI is progressing, using math as a test bed.29 Sep 2026 · 1 h 8 min · 24 chapters
From Voice Agents to AI Avatars with Alexander Smola - #777Voice AI’s “uncanny valley” problem (latency, interruptions, wrong tone/emotion) and why moving from text/voice to audiovisual avatars requires new real-time engineering, audiovisual tokenization,…16 Sep 2026 · 1 h 5 min · 24 chapters
Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776The episode argues that AI progress and value should be measured by token economics (“tokenomics”) and system-level efficiency, not just model benchmarks.9 Sep 2026 · 59 min · 28 chapters
World Models and the Future of Spatial AI with Justin Johnson - #775The episode argues that AI’s next frontier is “world models”—systems that understand, simulate, reconstruct, and plan through environments—moving beyond language-only scaling.1 Sep 2026 · 1 h 6 min · 22 chapters
Why the Next AI Breakthrough May Come from Physics with Max Welling - #774Max Welling (CUSP AI) argues the next AI breakthroughs for science may come from physics—especially equivariant neural networks, ML force fields, and links between generative AI and thermodynamics.25 Aug 2026 · 56 min · 20 chapters
Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773Why text-to-image (and related) generation still needs more than “bigger models”: better controllability, identity diversity, planning vs rendering, and efficient high-resolution generation on-device.12 Aug 2026 · 57 min · 17 chapters
Why Models Are AI’s Next Training Dataset with Damian Borth - #772Damian Borth explains “weight-based learning,” treating trained neural network weights as an input modality to learn a latent “manifold” of models.27 Jul 2026 · 47 min · 24 chapters
How AI Learns to Smell with Alex Wiltschko - #771How Osmo is building “olfactory intelligence” so AI can read, model, predict, and design smells—by creating the missing “map” for scent and the datasets/infrastructure to turn chemistry into digital…8 Jul 2026 · 1 h · 24 chapters
Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770Securing and governing AI agents at enterprise scale, arguing that legacy “static guardrails + human-in-the-loop” breaks down because agents plan, improvise, call tools, and can bypass approvals;…16 Jun 2026 · 56 min · 27 chapters
Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769Whether “RAG is dead” and why retrieval still matters for high-accuracy AI in tax law; how Sphere’s TRAM system builds, retrieves, and reasons over jurisdictional legislation with exact citations.9 Jun 2026 · 52 min · 22 chapters
Relational Foundation Models for Enterprise Data with Jure Leskovec - #768Relational foundation models for enterprise data. Jure Leskovec argues that instead of flattening relational databases into single-table features, models should learn directly over multi-table…21 May 2026 · 1 h 6 min · 33 chapters
How to Find the Agent Failures Your Evals Miss with Scott Clark - #767How to detect “agent failures” that offline evals miss by using post-production analytics to find “unknown unknowns” and distributional shifts in production traces, then turn discovered patterns into…7 May 2026 · 53 min · 24 chapters
How to Engineer AI Inference Systems with Philip Kiely - #766Inference engineering for AI systems—how to design, optimize, and operate end-to-end systems from user request to GPU execution, emphasizing fast “day zero” support for new model architectures and…30 Apr 2026 · 55 min · 17 chapters
How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765Capital One’s deployed multi-agentic AI approach and the enterprise platform that governs, evaluates, and scales it, using “Chat Concierge” as the main example.16 Apr 2026 · 54 min · 31 chapters
The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764Race to production-grade diffusion LLMs—why diffusion language models can be faster/cheaper at inference than autoregressive LLMs, how discrete diffusion for text/code works, and what’s needed for…26 Mar 2026 · 1 h 3 min · 30 chapters
Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763Siddhant Pardeshi, Co-founder and CTO of Blitzy10 Mar 2026 · 1 h 16 min · 30 chapters
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka26 Feb 2026 · 1 h 19 min · 28 chapters
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761In this episode of The TWIML AI Podcast, host Sam Charrington interviews Yejin Choi, a professor and senior fellow at Stanford University.29 Jan 2026 · 1 h 6 min · 24 chapters
Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760In this episode, host Sam Charrington speaks with Nikita Rudin, co-founder and CEO of Flexion Robotics, about the current state and future potential of robotics technology.8 Jan 2026 · 1 h 7 min · 31 chapters
Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759In this episode of The TWIML AI Podcast, hosted by Sam Charrington, Aakanksha Chowdhery discusses the fundamental shifts needed to build true agentic AI.17 Dec 2025 · 53 min
Why Vision Language Models Ignore What They See with Munawar Hayat - #758Why Vision Language Models Ignore What They See with Munawar Hayat9 Dec 2025 · 58 min
Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757In this episode of The TWIML AI Podcast, host Sam Charrington interviews Zain Asgar, co-founder and CEO of Gimlet Labs.2 Dec 2025 · 49 min
Proactive Agents for the Web with Devi Parikh - #756In this episode, host Sam Charrington interviews Devi Parikh, co-founder and co-CEO of Yutori, about the future of web interaction through proactive and autonomous agents.19 Nov 2025 · 56 min
AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755In this episode, host Sam Charrington talks with Robin Braun, VP of AI Business Development for Hybrid Cloud at HPE, and Luke Norris, Co-founder and CEO of Kamiwaza.12 Nov 2025 · 55 min