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Twiml AI Podcast

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ai51 episodes indexed

TWIML AI Podcast

Sam Charrington

Long-running interview show with ML researchers and practitioners on cutting-edge techniques — the research pipeline behind the compute and infrastructure buildout the space industry is starting to compete for.

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Episodes

RSS · updated 16:00Z●LIVE

E774Why the Next AI Breakthrough May Come from Physics with Max Welling - #774The conventional wisdom in AI is that the next breakthrough will come from more compute, more data, and larger models. But what if the next leap comes from somewhere else? In this episode, Max Welling—co-founder and CTO of CuspAI and profesAug 26 · 58 min
E773Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773Text-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 high-resolution image generated locally, and today’s moAug 12 · 57 min
E772Why Models Are AI’s Next Training Dataset with Damian Borth - #772For 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, researchers are looking for new ways to kJul 27 · 47 min
E771How AI Learns to Smell with Alex Wiltschko - #771In 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 science behind smell, from the hundreds of oJul 8 · 60 min
E770Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770In 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. We explore why the enterprise playbook of sJun 16 · 56 min
E769Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769As 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 libraries of documents, why bother with retrievalJun 9 · 52 min
E768Relational Foundation Models for Enterprise Data with Jure Leskovec - #768In 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 learning. We begin with AI Virtual Cell, a May 21 · 1h 6m
E767How to Find the Agent Failures Your Evals Miss with Scott Clark - #767In 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 Maslow’s hierarchy of observability: telemetMay 7 · 53 min
E766How to Engineer AI Inference Systems with Philip Kiely - #766In 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 critical workload in AI, how it blends GPU Apr 30 · 55 min
E765How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765In 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 highly regulated environment. Rashmi walkApr 16 · 54 min
E764The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764Today, 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 used for images—are being adapted for text aMar 26 · 1h 3m
E763Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763In 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-assisted coding with end-to-end autonomMar 10 · 1h 16m
E762AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762In 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 discuss the shift from raw model scaling toFeb 26 · 1h 19m
E761The Evolution of Reasoning in Small Language Models with Yejin Choi - #761Today, 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 explore Yejin’s recent work on making small lanJan 29 · 1h 6m
E760Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760Today, 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 world. Nikita explains how reinforcement lJan 8 · 1h 7m
E759Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759Today, 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 post-training techniques to improve reasoninDec 17, 2025 · 53 min
E758Why Vision Language Models Ignore What They See with Munawar Hayat - #758In 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 the persistent challenge of object hallucinatDec 9, 2025 · 58 min
E757Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757In 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 all AI workloads on high-end GPUs is unsusDec 2, 2025 · 49 min
E756Proactive Agents for the Web with Devi Parikh - #756Today, 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 technical challenges of creating reliable weNov 19, 2025 · 56 min
E755AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755Today, 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 workflows and unlock value from legacy entNov 12, 2025 · 55 min
E754Building an AI Mathematician with Carina Hong - #754In 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 convergence of three key areas: the advanced rNov 4, 2025 · 56 min
E753High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753In 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 dive deep into the technical challenges of dOct 28, 2025 · 52 min
E752Vibe Coding's Uncanny Valley with Alexandre Pesant - #752Today, 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 development from typing characters to expressing Oct 22, 2025 · 1h 13m
E751Dataflow Computing for AI Inference with Kunle Olukotun - #751In 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 reconfigurable dataflow architectures foOct 14, 2025 · 58 min
E750Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750 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 to overcome them, including windowed attenOct 7, 2025 · 57 min
E749The Decentralized Future of Private AI with Illia Polosukhin - #749In 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 user-owned AI. Illia shares his unique journeSep 30, 2025 · 1h 5m
E748Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748Today, 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 and capabilities of this newly released frontier Sep 23, 2025 · 1h 4m
E747Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747Today, 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 her ICML 2025 Outstanding Paper Award winneSep 16, 2025 · 58 min
E746Building an Immune System for AI Generated Software with Animesh Koratana - #746Today, 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 rapid advances in AI-assisted coding have cSep 9, 2025 · 1h 5m
E745Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745In 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 systems. A pioneer behind concepts like the InceSep 2, 2025 · 1h 12m
E744Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744Today, 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 prolific contributors to Apple’s MLX ecosystemAug 26, 2025 · 1h 10m
E743Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743Today, 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. We dig into the evolution of the Genie projectAug 19, 2025 · 1h 1m
E742Closing the Loop Between AI Training and Inference with Lin Qiao - #742In 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 development lifecycle. She explains why aligning trAug 12, 2025 · 1h 1m
E741Context Engineering for Productive AI Agents with Filip Kozera - #741In 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 architecture of these "background agents,"Jul 29, 2025 · 46 min
E740Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740In 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, often diverse, AI models and services. WeJul 22, 2025 · 1h 13m
E739Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739In 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, production-ready conversational voice AI. Kwin breaks Jul 15, 2025 · 1h 13m
E738Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738Today, 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 conference. We start with “DiMA: Distilling MulJul 9, 2025 · 1h
E737Building the Internet of Agents with Vijoy Pandey - #737Today, 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 collaborate effectively? As companies like SaJun 24, 2025 · 56 min
E736LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736Today, 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 they identify and create features, collect andJun 17, 2025 · 60 min
E735Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735Today, 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 platform for visualizing datasets, analyzing Jun 10, 2025 · 57 min
E734Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734Today, 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 from theoretical physics. We explore the foJun 5, 2025 · 1h 25m
E733Google I/O 2025 Special Edition - #733Today, 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 Logan Kilpatrick and Shrestha Basu Mallick, PMay 28, 2025 · 26 min
E732RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732Today, 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 high-stakes domains like financial services. May 21, 2025 · 57 min
E731From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731Today, 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. Mahesh highlights the crucial role of data May 13, 2025 · 1h 1m
E730How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730Today, 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 comprehensive web research, Operator for website naMay 6, 2025 · 1h 7m
E729CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729Today, 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 evaluating LLMs on real-world CTI tasks. NidhApr 30, 2025 · 56 min
E728Generative Benchmarking with Kelly Hong - #728In 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. Kelly explains how traditional benchmarks likApr 23, 2025 · 54 min
E727Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727In 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 Large Language Model." Emmanuel explains hoApr 14, 2025 · 1h 34m
E726Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726Today, 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 into how Satori leverages reinforcement learApr 8, 2025 · 52 min
E725Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, including vision-language mMar 31, 2025 · 1h 9m

Source: Episodes via the show's public RSS feed · as of Sep 1, 2026 16:00 UTC

Showing the 50 most recent episodes. Full archive on the show's site.

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