The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Technology
#54
Recent Episodes
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From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
May 13, 2025 – 01:01:25 -
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
May 6, 2025 – 01:07:27 -
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
Apr 30, 2025 – 56:18 -
Generative Benchmarking with Kelly Hong - #728
Apr 23, 2025 – 54:17 -
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727
Apr 14, 2025 – 01:34:06 -
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726
Apr 8, 2025 – 51:45 -
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725
Mar 31, 2025 – 01:09:07 -
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724
Mar 24, 2025 – 50:32 -
Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723
Mar 17, 2025 – 58:38 -
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722
Mar 10, 2025 – 42:11 -
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721
Mar 3, 2025 – 49:29 -
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
Feb 24, 2025 – 01:07:05 -
π0: A Foundation Model for Robotics with Sergey Levine - #719
Feb 18, 2025 – 52:30 -
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718
Feb 10, 2025 – 01:44:59 -
Speculative Decoding and Efficient LLM Inference with Chris Lott - #717
Feb 4, 2025 – 01:16:30 -
Ensuring Privacy for Any LLM with Patricia Thaine - #716
Jan 28, 2025 – 51:33 -
AI Engineering Pitfalls with Chip Huyen - #715
Jan 21, 2025 – 57:37 -
Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - #714
Jan 13, 2025 – 58:08 -
Why Agents Are Stupid & What We Can Do About It with Dan Jeffries - #713
Dec 16, 2024 – 01:08:49 -
Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712
Dec 9, 2024 – 56:48 -
AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711
Dec 3, 2024 – 54:47 -
AI for Network Management with Shirley Wu - #710
Nov 19, 2024 – 53:44 -
Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709
Nov 11, 2024 – 58:03 -
An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708
Nov 4, 2024 – 01:15:09 -
Building AI Voice Agents with Scott Stephenson - #707
Oct 28, 2024 – 01:01:44 -
Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706
Oct 21, 2024 – 55:52 -
ML Models for Safety-Critical Systems with Lucas García - #705
Oct 14, 2024 – 01:16:06 -
AI Agents: Substance or Snake Oil with Arvind Narayanan - #704
Oct 7, 2024 – 54:22 -
AI Agents for Data Analysis with Shreya Shankar - #703
Sep 30, 2024 – 48:24 -
Stealing Part of a Production Language Model with Nicholas Carlini - #702
Sep 23, 2024 – 01:03:30 -
Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - #701
Sep 16, 2024 – 01:14:15 -
Automated Design of Agentic Systems with Shengran Hu - #700
Sep 2, 2024 – 59:30 -
The EU AI Act and Mitigating Bias in Automated Decisioning with Peter van der Putten - #699
Aug 27, 2024 – 45:34 -
The Building Blocks of Agentic Systems with Harrison Chase - #698
Aug 19, 2024 – 59:17 -
Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697
Aug 12, 2024 – 46:37 -
Genie: Generative Interactive Environments with Ashley Edwards - #696
Aug 5, 2024 – 46:51 -
Bridging the Sim2real Gap in Robotics with Marius Memmel - #695
Jul 30, 2024 – 57:21 -
Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694
Jul 23, 2024 – 01:20:05 -
Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693
Jul 17, 2024 – 57:54 -
Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692
Jul 9, 2024 – 43:16 -
How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691
Jul 1, 2024 – 57:12 -
Long Context Language Models and their Biological Applications with Eric Nguyen - #690
Jun 25, 2024 – 45:41 -
Accelerating Sustainability with AI with Andres Ravinet - #689
Jun 18, 2024 – 47:46 -
Gen AI at the Edge: Qualcomm AI Research at CVPR 2024 with Fatih Porikli - #688
Jun 10, 2024 – 01:10:41 -
Energy Star Ratings for AI Models with Sasha Luccioni - #687
Jun 3, 2024 – 48:26 -
Language Understanding and LLMs with Christopher Manning - #686
May 27, 2024 – 56:10 -
Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685
May 20, 2024 – 43:05 -
Powering AI with the World's Largest Computer Chip with Joel Hestness - #684
May 13, 2024 – 55:06 -
AI for Power & Energy with Laurent Boinot - #683
May 7, 2024 – 49:41 -
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
Apr 29, 2024 – 42:09
Recent Reviews
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anxnsodkcoapsjdjAwesome!Sam is an amazing host! Technical, kind and gets the best out of each guest. 10 starssss out of 5.
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IL iPhone GuyExcellent technical AI podcastFinally the podcast I’ve been looking for. Technical yet practical and approachable. Well done.
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camnndmamiExcellent discussions of technical advances in AIReliably the best technical podcast on AI. The host brings a continual flow of cutting edge researchers who share their knowledge of the latest advances in AI methods and emerging applications. Sam, the host, brings penetrating questions to extract new and cross-disciplinary insights. A quick way to keep up-to-date on industry trends and fundamental advances.
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Ashish USThe best aiml podcastI am following this podcast since 2017, my AI learning direction comes this podcast. Thankyou Sam !
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mfnyai14Best pod for ai/ml practionersConsistently great content - this is the podcast that actual ai/ml practitioners
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atxfitgalClear and educationalI’m a total noob to these topics but an otherwise smart person, and this podcast strikes a perfect balance between technical and accessible. Looking forward to binging and following. Well done!
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steve5688547Lots of potential but incompetent hostThe guests are amazing and this could be such an amazing podcast for the ML community. Unfortunately, the host is both a poor conversationalist (interviews lack flow, feel disjointed and tortured), and comes to the interviews so poorly informed that he struggles to put follow up questions together or even understand what the guest is saying.
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fitelsonA premier podcast on AI/MLI have enjoyed listening to many of the episodes and had fun participating in one
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rohitandexcellent machine learning perspectiveSam puts lot of attention to every episode. Information is high quality and easy to grasp.
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meredithhuMany better AI podcasts out there hosted by scientists doing the dirty workDifficult to listen unless the guest really knows what he or she’s doing and doesn’t mind the host.
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belsaycGreat interviewerSam's questions are so spot on. "That's an interesting question" is something you will hear guests say a lot.
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J. BarshopExcellence with humilityTWIML AI has quickly become one of my go-to podcast - I appreciate the variety of episodes, the super practical takeaways and sincerity that Sam pours into every guest - it’s clear he only brings on folks who are world-class and working to be a positive force in the world.
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Laughlin321“You know”Some good content, but hard to listen to. Please say “you know” less.
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Decapris72Sam asks the questions you would askI have listened to this podcast for years, almost every single episode. What differentiates this from all the others is Sam. He asks questions that are at just the right level. He doesn’t try to dumb it down for a nontechnical audience, but he does just let someone talk either. You can tell he is an engineer and he really wants to understand what the guests are saying. It sounds easy but no other hosts manage to do it as well.
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GusCojoAwesomeSam is probably the best host that helps his brilliant guests tell and explain a complicated idea.
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9thWardOJLove thisUnder rated podcast. If you are into the nuts and bolts of AI/Machine Learning this is a great and insightful companion.
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Minter DialAI brought to the massesSam Charrington has helped bring AI to the masses with his insightful podcasts filled with great guests.
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joemac doeintoshUmm shlipGreat podcast. Way to many “ums” “Ah” and “likes” and lip smacks. If you’re hypersensitive or misophonic, oh boy/girl god bless you. Um ah anyone um in the profession looking for Um a relative podcast to there um profession this is um is it! Smack!
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Joel SappExcellent Perspectives in Machine LearningLove this podcast. Give it a try.
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daniel432!Awesome podcastLove this podcast! The perspectives from experts are great
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eduran0826The best!Every episode is a must-listen for me. The show is intellectually engaging and I always end an episode learning something new from the amazing field of A.I. and M.L.
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EliSelkinDepth and DiversityI really like listening to this podcast because Sam Charrington is excellent at summarizing the explanations his guests are giving into digestible chunks. Also he has enough background to draw out the similarities between other work in the field. I like the focus on journal publication level topics as well as popular areas.
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MyTribe2DayOutstanding PodcastFascinating interview: Designing Better Sequence Models with RNNs with Adji Bousso Dieng.
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SaumiRaGreat resource and the host is perfectLearnt a lot from listening to this ! Appreciate what Sam does
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Nicholas TeagueBest in classConsistently high quality, addressing the cutting edge of research and practice for machine learning in a wide variety of industries. Guest list includes many industry notables. An insider’s view of things to come.
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jbwmsonI'm addicted to this podcastA fantastic podcast that has just the right blend of business level use case and data nerd tech -- I learn from both. I'm building a huge backlog of things-to-do based on ideas that come from listening. Love the interview format.
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awesomely cool and funtaculerBroad ranging discussionsTWIML-AI covers an amazing amount of ground at enough depth for those aha! moments. Plus Sam asks those questions you assumed everyone else understood so you didn’t want to say anything.
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qiumao7426Best in class!!For the podcasts I’ve listened to, TWiML&AI is easily the best podcast in production on the topic of machine learning and AI. Way to go, Sam!
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Wyltk75I really like it.I've been writing a paper on AI, so I thought I would listen to the podcast to see if I could learn something. What I like about this podcast is that is easy to follow for a novice in the field, and it really gives a good understanding without being too complicated. I started another podcast but it was too deep for me. Thank you!
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ExpatScotRacerGreat ML and AI insightsSam brings together an amazing range of experts in a way that is accessible without dumbing down the content.
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Donfred555Excellent, Frequent PodcastFew podcasters are as prolific as Sam while maintaining a high level of quality episode to episode. This podcast covers a breath of topics with a satisfying depth of discussion into each topic. It's a must listen for anyone interested in ML, AI, or Tech in general.
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Teacherkatkoهدى الرشيديمفيد جدا عن machine learning اخر الابحاث اللي تمت بهالموضوع ومشاكلها الحالية وطريقة تطوير الكلاسيفاير.
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PromdrBest podcast on AI/ML - by far!Sam not only produces a regular stream of top quality interviews, he also commands a breadth of knowledge on the subject matter, making his interviews particularly useful, regardless of your background. Fantastic job!
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Kp587563Favorite ML/AI PodcastI've listened to most of the episodes. It's clear that Sam puts a lot of effort into finding great guests and the interviews are great. Definitely my favorite ML/AI podcast.
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Prasad+SWont miss an episodeIts nice to listen to an episode of TWiMLAI for the quality of the interview and depth of the topics
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Max TannoneGreat showThese episodes are like looking into a crystal ball...🔮...
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Intel7great coverage of ML and AI topicsa nice way to stay current with ever-changing AI and ML. a wide variety of talks - from research papers, to algorithm intuition, to applications in enterprise, to way out there beyound our galaxy. Thank you Sam!
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nbamikeMy favoriteThank you I like to learn about the robot brains
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cb4ward1TerrificGreat selection of experts to interview! Sam Charrington brings the perfect mix of expertise, curiosity, humility, and the occasional good chuckle!
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DragonEye00This became my favorite podcast overnightThe best podcast on AI I have found so far! Thank you for creating it. It is technical enough to be of great value in increasing one’s understanding of the subject, without being too low level and intimidating if you are not an AI expert yourself.
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bruce_2bExceptionalThe TWiML&AI podcast offers a privileged view into the realm of machine learning & AI. Host Sam Charrington has earned the right to tap some of the brightest and most entrepreneurial minds of our times. Thanks to his many talents as an interviewer, Sam's listeners enjoy in-depth (nerd alert!l) and entertaining play-by-play accounts of how we got here, and where we're headed, from the people making it happen. Highly recommended.
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mrkchaseCovers ML in manufacturingSam does a good job covering this topic. This is the only podcast I have found that discusses how ML is applied in a manufacturing environment. He interviews interesting people who are quite knowledgeable and articulate.
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LipschnitzSam is the man with a Machine Learning Plan!I've been listening to his podcasts to supplement my courses. While hearing these over and over while going thru my undergrad and slowly (16 months in) the data is starting to link up with what I've been hearing in the podcasts and the phrase "I've got an idea" is usually followed by a quick search to show something I randomly heard months ago. Thanks Sam. How can we give you 6 stars?
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JRStevenson3Engaging content presented in a compelling fashion!Love it!
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pwndog1Interviews + content = digestible informationEnjoy the content and the interview format. Quite informative and has encouraged me to pursue further education in ML. Keep up the good work Sam! My one tiny negative is that I've found that the intro/outro music is so much louder than the actual interview that I have to turn up the volume to hear the content and then rush to turn the volume down in my car so it doesn't hurt my ears. Not sure if this is just my car giving me problems or if other people have the same comment. Besides that, I give it 5 stars for content and delivery.
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Gabagool_Weissman Score: 15.6Subscribed to this podcast a few months back, but never got around to listening to it. Now, I just finished and wish there were more. I started with the most recent ones and worked my way backwards and it's clear how much you've evolved and matured as a host. You've struck the perfect balance between accessibility and depth, keep 'em coming!
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emromrell14Great varietyLove how many different applications this show is able to pull in!
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OkGoDoItInteresting perspectives on machine learningHappy birthday TWIML! This is an interesting podcast, I love how in-depth it goes and how I continuously learn new things about machine learning by listening to it. This is no pop science podcast. The production quality is not great, but it's improving, and the content is what's important anyway. My favorite episode was a few months ago when he interviewed Deep Genomics, discussing the implications of machine learning on genetic engineering. It was really fascinating, I hope he continues to do episodes that feature machine learning applied to novel industries. -@OkGoDoIt
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Carlos ManzuetaAIExcellent perfect I love it thank you the information 👌😀 Carlos Manzueta
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DataFirstGreat podcast to build ML awareness and keep up to dateAfter making a slight shift from data engineering to machine learning, I was looking for a good podcast to get the breadth of knowledge as I was taking classes and learning from engineers on my team. This podcast helps me stay aware of the breadth of ML field while I pick and choose my deep dives relevant to my team/our product.
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