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The TWIML AI Podcast
The TWIML AI Podcast
791 episodes
About The TWIML AI Podcast
The TWIML AI Podcast is a podcast with 791 episodes in the PodLexicon database, each accompanied by a full searchable transcript and AI-generated summary. PodLexicon indexes every episode of The TWIML AI Podcast and turns each one into a searchable AI summary — find the episode that covers a topic, track how that topic evolved over time, or compare what different guests said about it.
Topics Covered on The TWIML AI Podcast
Benchmark vs. Real-World Robustness Data-to-Parameter Ratio and Model Updateability Unlearning and Limits of Localized Knowledge Creativity Beyond Next-Token Prediction Inversion-Based Image Editing and Inpainting On-Device Deployment and Efficiency as Core Goals ChatGPT Behavior Drift Over Time Objective Evaluation Methods for LLMs
Notable Guests on The TWIML AI Podcast
Recent Episodes
Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773 — August 12, 2026
Why Models Are AI’s Next Training Dataset with Damian Borth - #772 — July 27, 2026
How AI Learns to Smell with Alex Wiltschko - #771 — July 08, 2026
Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770 — June 16, 2026
Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769 — June 09, 2026
Relational Foundation Models for Enterprise Data with Jure Leskovec - #768 — May 21, 2026
How to Find the Agent Failures Your Evals Miss with Scott Clark - #767 — May 07, 2026
How to Engineer AI Inference Systems with Philip Kiely - #766 — April 30, 2026
How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765 — April 16, 2026
The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764 — March 26, 2026
Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763 — March 10, 2026
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762 — February 26, 2026
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761 — January 29, 2026
Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760 — January 08, 2026
Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759 — December 17, 2025
Why Vision Language Models Ignore What They See with Munawar Hayat - #758 — December 09, 2025
Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757 — December 02, 2025
Proactive Agents for the Web with Devi Parikh - #756 — November 19, 2025
AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755 — November 12, 2025
Building an AI Mathematician with Carina Hong - #754 — November 04, 2025
High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753 — October 28, 2025
Vibe Coding's Uncanny Valley with Alexandre Pesant - #752 — October 22, 2025
Dataflow Computing for AI Inference with Kunle Olukotun - #751 — October 14, 2025
Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750 — October 07, 2025
The Decentralized Future of Private AI with Illia Polosukhin - #749 — September 30, 2025
Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748 — September 23, 2025
Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747 — September 16, 2025
Building an Immune System for AI Generated Software with Animesh Koratana - #746 — September 09, 2025
Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745 — September 02, 2025
Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744 — August 26, 2025
Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743 — August 19, 2025
Closing the Loop Between AI Training and Inference with Lin Qiao - #742 — August 12, 2025
Context Engineering for Productive AI Agents with Filip Kozera - #741 — July 29, 2025
Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740 — July 22, 2025
Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739 — July 15, 2025
Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738 — July 09, 2025
Building the Internet of Agents with Vijoy Pandey - #737 — June 24, 2025
LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736 — June 17, 2025
Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735 — June 10, 2025
Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734 — June 05, 2025
Google I/O 2025 Special Edition - #733 — May 28, 2025
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732 — May 21, 2025
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731 — May 13, 2025
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730 — May 06, 2025
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729 — April 30, 2025
Generative Benchmarking with Kelly Hong - #728 — April 23, 2025
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727 — April 14, 2025
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726 — April 08, 2025
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725 — March 31, 2025
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724 — March 24, 2025
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