The TWIML AI Podcast
Long-running interviews with ML practitioners and researchers about real systems.
Best episodes
Why Jev Is Changing How We Build With AI with Diogo Almeida - #779
WithDiogo Almeida
From Voice Agents to AI Avatars with Alexander Smola - #777
WithAlexander Smola
World Models and the Future of Spatial AI with Justin Johnson - #775
WithJustin Johnson
Latest
All 34 episodes

Your Ranking Model Is Optimizing the Wrong Thing with Zoe Weil - #780
Retail ranking models can optimize for purchases using live behavior, not just clicks.
HostsSam CharringtonGuestsZoe Weil (co-founder and CEO, Sequen)

Why Jev Is Changing How We Build With AI with Diogo Almeida - #779
AI models can be built for reliable software decisions, not just text generation.
HostsSam CharringtonGuestsDiogo Almeida (co-founder and CEO, TypeSafe)

From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778
AI now solves complex math, raising questions about its creativity and future research potential.
HostsSam CharringtonGuestsGreg Burnham (lead AI capabilities research, Epoch AI)

From Voice Agents to AI Avatars with Alexander Smola - #777
Understand the technical path from voice agents to AI avatars for more natural human-AI conversations.
HostsSam CharringtonGuestsAlexander Smola (co-founder and CEO, Boson AI)

Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776
AI tokenomics matter more than benchmarks for understanding AI value and cost.
HostsSam CharringtonGuestsChris Potts (Stanford professor and Big Spin co-founder)

World Models and the Future of Spatial AI with Justin Johnson - #775
Explore spatial AI and world models, the next frontier beyond language for AI agents and robots.
HostsSam CharringtonGuestsJustin Johnson (co-founder, World Labs)

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774
Physics might unlock AI's next leap, offering new architectures beyond scaling.
HostsSam CharringtonGuestsMax Welling (co-founder and CTO, CuspAI)

Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773
Image generation needs more than big models; Qualcomm explores better control and efficiency.
HostsSam CharringtonGuestsFatih Porikli (Vice President of Technology, Qualcomm)

Why Models Are AI’s Next Training Dataset with Damian Borth - #772
Train AI on AI: learn how existing models can become the next training data source.
HostsSam CharringtonGuestsDamian Borth (professor of AI and machine learning, University of St. Gallen)

How AI Learns to Smell with Alex Wiltschko - #771
AI is learning to smell, opening doors for disease detection and new consumer tech.
HostsSam CharringtonGuestsAlex Wiltschko (founder and CEO, Osmo)

Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770
AI agents break current security models; enterprises need new governance strategies.
HostsSam CharringtonGuestsDevvret Rishi (GM of AI, Rubrik)

Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769
RAG is not dead; it's essential for high-stakes AI like tax law.
HostsSam CharringtonGuestsAlex Bowcut (Head of Engineering, Sphere)

Relational Foundation Models for Enterprise Data with Jure Leskovec - #768
Learn how AI models can learn from enterprise databases like graphs, unlocking new prediction capabilities.
HostsSam CharringtonGuestsJure Leskovec (co-founder and chief scientist, Kumo), Jure Leskovec (professor of computer science, Stanford)

How to Find the Agent Failures Your Evals Miss with Scott Clark - #767
Find LLM agent failures standard tests miss using vector fingerprints and better observability.
HostsSam CharringtonGuestsScott Clark (co-founder and CEO, Distributional)

How to Engineer AI Inference Systems with Philip Kiely - #766
Master AI inference engineering to build faster, more efficient AI products.
HostsSam CharringtonGuestsPhilip Kiely (head of AI education, Baseten)

How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765
Capital One shares how to build and scale safe, multi-agent AI systems in a regulated enterprise.
HostsSam CharringtonGuestsRashmi Shetty (senior director of enterprise generative AI platform, Capital One)

The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764
Diffusion LLMs offer faster, more controllable text generation, potentially rivaling autoregressive models.
HostsSam CharringtonGuestsStefano Ermon (Associate Professor, Stanford University), Stefano Ermon (CEO, Inception Labs)

Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763
Autonomous software development uses agent swarms and knowledge graphs to build production-ready code at scale.
HostsSam CharringtonGuestsSiddhant Pardeshi (co-founder and CTO, Blitzy)

AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762
Understand LLM reasoning, agents, and future trends from a leading researcher.
HostsSam CharringtonGuestsSebastian Raschka (independent LLM researcher and author)

The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
Improve small AI models with better data and training to boost reasoning and creativity.
HostsSam CharringtonGuestsYejin Choi (Professor and Senior Fellow, Stanford University)

Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760
Robotics faces a real-world gap; learn how simulation, learning, and modular design bridge it.
HostsSam CharringtonGuestsNikita Rudin (co-founder and CEO, Flexion Robotics)

Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759
Rethink AI pre-training for agents: focus on long-form reasoning and planning, not just next-token prediction.
HostsSam CharringtonGuestsAakanksha Chowdhery (member of technical staff, Reflection)

Why Vision Language Models Ignore What They See with Munawar Hayat - #758
AI models struggle with vision; new research tackles object hallucination and multi-human generation.
HostsSam CharringtonGuestsMunawar Hayat (researcher, Qualcomm AI Research)

Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757
Optimize AI agent compute costs by mixing hardware, not just using expensive GPUs.
HostsSam CharringtonGuestsZain Asgar (co-founder and CEO, Gimlet Labs)

Proactive Agents for the Web with Devi Parikh - #756
Web agents that see and act autonomously are here, tackling complex tasks with visual intelligence.
HostsSam CharringtonGuestsDevi Parikh (co-founder and co-CEO, Yutori)

AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755
AI agents automate smart city and enterprise tasks, using private cloud for data privacy and practical wins.
HostsSam CharringtonGuestsRobin Braun (VP of AI business development for hybrid cloud, HPE), Luke Norris (co-founder and CEO, Kamiwaza)

Building an AI Mathematician with Carina Hong - #754
AI is learning to do math, potentially discovering new theorems.
HostsSam CharringtonGuestsCarina Hong (founder and CEO, Axiom)

High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753
Run powerful image AI on your phone. Qualcomm's tech makes it fast and efficient.
HostsSam CharringtonGuestsHung Bui (Technology Vice President, Qualcomm)

Vibe Coding's Uncanny Valley with Alexandre Pesant - #752
Learn how AI is changing coding from typing to intent expression, with practical insights from a real-world application.
HostsSam CharringtonGuestsAlexandre Pesant (AI lead, Lovable)

Dataflow Computing for AI Inference with Kunle Olukotun - #751
Dataflow computing offers a new path for faster, more efficient AI inference, especially for LLMs.
HostsSam CharringtonGuestsKunle Olukotun (professor of electrical engineering and computer science, Stanford University), Kunle Olukotun (co-founder and chief technologist, Sambanova Systems)

Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750
New architecture promises massive speedups for long-context AI models.
HostsSam CharringtonGuestsJacob Buckman (co-founder and CEO, Manifest AI)

The Decentralized Future of Private AI with Illia Polosukhin - #749
Build private, user-owned AI with decentralized tech and verifiable trust.
HostsSam CharringtonGuestsIllia Polosukhin (co-founder, Near AI)

Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748
Google's Nano Banana model pushes vision-language AI forward with advanced image editing and reasoning.
HostsSam CharringtonGuestsOliver Wang (principal scientist, Google DeepMind)

Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747
Explore new LLM training methods to overcome creative limits and catastrophic overtraining.
HostsSam CharringtonGuestsAditi Raghunathan (assistant professor, Carnegie Mellon University)
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