The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Kanaal Besonderhede
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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 busi...
Onlangse Episodes
772 episodes
Building an AI Mathematician with Carina Hong - #754
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 piv...
High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753
In this episode, Hung Bui, Technology Vice President at Qualcomm, joins us to explore the latest high-efficiency techniques for running generative AI,...
Vibe Coding's Uncanny Valley with Alexandre Pesant - #752
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 o...
Dataflow Computing for AI Inference with Kunle Olukotun - #751
In this episode, we're joined by Kunle Olukotun, professor of electrical engineering and computer science at Stanford University and co-founder and ch...
Recurrence 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...
The Decentralized Future of Private AI with Illia Polosukhin - #749
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 vis...
Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748
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, “Na...
Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747
Today, we're joined by Aditi Raghunathan, assistant professor at Carnegie Mellon University, to discuss the limitations of LLMs and how we can build m...
Building an Immune System for AI Generated Software with Animesh Koratana - #746
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 p...
Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745
In this episode, Christian Szegedy, Chief Scientist at Morph Labs, joins us to discuss how the application of formal mathematics and reasoning enables...
Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744
Today, we're joined by Prince Canuma, an ML engineer and open-source developer focused on optimizing AI inference on Apple Silicon devices. Prince sha...
Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743
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 capab...
Closing the Loop Between AI Training and Inference with Lin Qiao - #742
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 p...
Context Engineering for Productive AI Agents with Filip Kozera - #741
In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the n...
Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerfu...
Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739
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 an...
Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738
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 pap...
Building the Internet of Agents with Vijoy Pandey - #737
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 ma...
LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736
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...
Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735
Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer visio...
Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734
Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving D...
Google I/O 2025 Special Edition - #733
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...
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732
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 g...
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
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 bu...
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
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 thr...
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on...
Generative Benchmarking with Kelly Hong - #728
In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems,...
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727
In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model...
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726
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...
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725
Today, 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. Drag...
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724
Today, we're joined by Julie Kallini, PhD student at Stanford University to discuss her recent papers, “MrT5: Dynamic Token Merging for Efficient Byte...
Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723
Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his rec...
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722
Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimod...
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721
Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the...
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the de...
π0: A Foundation Model for Robotics with Sergey Levine - #719
Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-p...
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718
Today we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agent...
Speculative Decoding and Efficient LLM Inference with Chris Lott - #717
Today, we're joined by Chris Lott, senior director of engineering at Qualcomm AI Research to discuss accelerating large language model inference. We e...
Ensuring Privacy for Any LLM with Patricia Thaine - #716
Today, we're joined by Patricia Thaine, co-founder and CEO of Private AI to discuss techniques for ensuring privacy, data minimization, and compliance...
AI Engineering Pitfalls with Chip Huyen - #715
Today, we're joined by Chip Huyen, independent researcher and writer to discuss her new book, “AI Engineering.” We dig into the definition of AI engin...