The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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.
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Why Image Generation Needs More Than Bigger Models - #773
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12 Aug 2026
Text-to-image models have become remarkably good at producing realistic images. But realism isn’t the same as correctness. Ask for several distinct people, a specific composition, or a
Why Models Are AI’s Next Training Dataset with Damian Borth - #772
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27 Jul 2026
For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive,
How AI Learns to Smell with Alex Wiltschko - #771
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8 Jul 2026
In this episode, Alex Wiltschko, founder and CEO of Osmo, joins the show to discuss his goal of giving computers a sense of smell and what it takes to build olfactory intelligence. We explore the
Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770
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16 Jun 2026
In this episode, Sam talks with Dev Rishi, GM of AI at Rubrik, about what happens when agents move beyond answering questions and start taking action across tools, systems, and business processes.
Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769
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9 Jun 2026
As context windows grow into the millions of tokens, many AI practitioners are questioning whether retrieval-augmented generation (RAG) is still necessary. If modern models can ingest entire
Relational Foundation Models for Enterprise Data with Jure Leskovec - #768
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21 May 2026
In this episode, Jure Leskovec, co-founder and chief scientist at Kumo and professor of computer science at Stanford, joins us to explore two fronts of his work: AI for science and relational deep
How to Find the Agent Failures Your Evals Miss with Scott Clark - #767
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7 May 2026
In this episode, Scott Clark, co-founder and CEO of Distributional, joins us to explore how teams can reliably operate and improve complex LLM systems and agents in production. Scott introduces a
How to Engineer AI Inference Systems with Philip Kiely - #766
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30 Apr 2026
In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of inference engineering. We explore why inference has become the stickiest and most
How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765
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16 Apr 2026
In this episode, Rashmi Shetty, senior director of enterprise generative AI platform at Capital One, joins us to explore how the company is designing, deploying, and scaling multi-agent systems in a
The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764
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26 Mar 2026
Today, we're joined by Stefano Ermon, associate professor at Stanford University and CEO of Inception Labs to discuss diffusion language models. We dig into how diffusion approaches—traditionally
Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763
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10 Mar 2026
In this episode, Sid Pardeshi, co-founder and CTO of Blitzy, joins us to discuss building autonomous development systems able to deliver production-ready software at enterprise scale. Sid contrasts
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762
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26 Feb 2026
In this episode, Sebastian Raschka, independent LLM researcher and author, joins us to break down how the LLM landscape has changed over the past year and what is likely to matter most in 2026. We
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
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29 Jan 2026
Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University in the Computer Science Department and the Institute for Human-Centered AI (HAI). In this conversation, we
Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760
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8 Jan 2026
Today, we're joined by Nikita Rudin, co-founder and CEO of Flexion Robotics to discuss the gap between current robotic capabilities and what’s required to deploy fully autonomous robots in the real
Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759
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17 Dec 2025
Today, we're joined by Aakanksha Chowdhery, member of technical staff at Reflection, to explore the fundamental shifts required to build true agentic AI. While the industry has largely focused on
Why Vision Language Models Ignore What They See with Munawar Hayat - #758
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9 Dec 2025
In this episode, we’re joined by Munawar Hayat, researcher at Qualcomm AI Research, to discuss a series of papers presented at NeurIPS 2025 focusing on multimodal and generative AI. We dive into
Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757
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2 Dec 2025
In this episode, Zain Asgar, co-founder and CEO of Gimlet Labs, joins us to discuss the heterogeneous AI inference across diverse hardware. Zain argues that the current industry standard of running
Proactive Agents for the Web with Devi Parikh - #756
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19 Nov 2025
Today, we're joined by Devi Parikh, co-founder and co-CEO of Yutori, to discuss browser use models and a future where we interact with the web through proactive, autonomous agents. We explore the
AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755
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12 Nov 2025
Today, we're joined by Robin Braun, VP of AI business development for hybrid cloud at HPE, and Luke Norris, co-founder and CEO of Kamiwaza, to discuss how AI systems can be used to automate complex
Building an AI Mathematician with Carina Hong - #754
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4 Nov 2025
In this episode, Carina Hong, founder and CEO of Axiom, joins us to discuss her work building an "AI Mathematician." Carina explains why this is a pivotal moment for AI in mathematics, citing a
High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753
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28 Oct 2025
In this episode, Hung Bui, Technology Vice President at Qualcomm, joins us to explore the latest high-efficiency techniques for running generative AI, particularly diffusion models, on-device. We
Vibe Coding's Uncanny Valley with Alexandre Pesant - #752
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22 Oct 2025
Today, we're joined by Alexandre Pesant, AI lead at Lovable, who joins us to discuss the evolution and practice of vibe coding. Alex shares his take on how AI is enabling a shift in software
Dataflow Computing for AI Inference with Kunle Olukotun - #751
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14 Oct 2025
In this episode, we're joined by Kunle Olukotun, professor of electrical engineering and computer science at Stanford University and co-founder and chief technologist at Sambanova Systems, to discuss
Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750
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7 Oct 2025
Today, we're joined by Jacob Buckman, co-founder and CEO of Manifest AI to discuss achieving long context in transformers. We discuss the bottlenecks of scaling context length and recent techniques
The Decentralized Future of Private AI with Illia Polosukhin - #749
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30 Sep 2025
In this episode, Illia Polosukhin, a co-author of the seminal "Attention Is All You Need" paper and co-founder of Near AI, joins us to discuss his vision for building private, decentralized, and
Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748
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23 Sep 2025
Today, we’re joined by Oliver Wang, principal scientist at Google DeepMind and tech lead for Gemini 2.5 Flash Image—better known by its code name, “Nano Banana.” We dive into the development
Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747
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16 Sep 2025
Today, we're joined by Aditi Raghunathan, assistant professor at Carnegie Mellon University, to discuss the limitations of LLMs and how we can build more adaptable and creative models. We dig into
Building an Immune System for AI Generated Software with Animesh Koratana - #746
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9 Sep 2025
Today, we're joined by Animesh Koratana, founder and CEO of PlayerZero to discuss his team’s approach to making agentic and AI-assisted coding tools production-ready at scale. Animesh explains how
Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745
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2 Sep 2025
In this episode, Christian Szegedy, Chief Scientist at Morph Labs, joins us to discuss how the application of formal mathematics and reasoning enables the creation of more robust and safer AI
Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744
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26 Aug 2025
Today, we're joined by Prince Canuma, an ML engineer and open-source developer focused on optimizing AI inference on Apple Silicon devices. Prince shares his journey to becoming one of the most
Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743
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19 Aug 2025
Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds.
Closing the Loop Between AI Training and Inference with Lin Qiao - #742
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12 Aug 2025
In this episode, we're joined by Lin Qiao, CEO and co-founder of Fireworks AI. Drawing on key lessons from her time building PyTorch, Lin shares her perspective on the modern generative AI
Context Engineering for Productive AI Agents with Filip Kozera - #741
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29 Jul 2025
In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new programming interface. Filip breaks down the
Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
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22 Jul 2025
In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple,
Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739
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15 Jul 2025
In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time,
Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738
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9 Jul 2025
Today, we're joined by Fatih Porikli, senior director of technology at Qualcomm AI Research for an in-depth look at several of Qualcomm's accepted papers and demos featured at this year’s CVPR
Building the Internet of Agents with Vijoy Pandey - #737
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24 Jun 2025
Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors
LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736
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17 Jun 2025
Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how
Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735
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10 Jun 2025
Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source
Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734
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5 Jun 2025
Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles
Google I/O 2025 Special Edition - #733
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28 May 2025
Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732
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21 May 2025
Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
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13 May 2025
Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models.
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
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6 May 2025
Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
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30 Apr 2025
Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for
Generative Benchmarking with Kelly Hong - #728
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23 Apr 2025
In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data.
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727
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14 Apr 2025
In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726
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8 Apr 2025
Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig
