The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Sam Charrington

Machine Learning

Generative AI

Large Language Models

Artificial Intelligence

AI Agents

Reinforcement Learning

Robotics

Natural Language Processing

Openai

AI Orchestration

Smart Cities

AI Inference

Interpretability

Agentic AI

Neural Networks

AWS

Llms

AI Applications

AI Research

Computer Vision

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 business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentato... more

933 ratings

Publishes	Twice monthly	Episodes	793	Founded	10 years ago
Number of Listeners		Categories	TechnologyNewsTech News

Listen to this Podcast

Guests Host Reviews Charts Talking Points

Latest Episodes

World Models and the Future of Spatial AI with Justin Johnson - #775

In this episode, Justin Johnson, co-founder of World Labs, joins us to discuss world models and the emerging field of spatial AI. We explore why many researchers see capabilities beyond language as an important frontier for AI, and what it means to b... more

1 Sep 2026 • 1 hr 6 min

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

The 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 professor at th... more

26 Aug 2026 • 58 min • Most popular

Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773

Text-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 models still... more

12 Aug 2026 • 56 min

Why Models Are AI’s Next Training Dataset with Damian Borth - #772

For 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 keep founda... more

27 Jul 2026 • 47 min

Key Facts

Accepts Guests

Accepts Sponsors

Contact Information

Podcast Host

Number of Listeners

Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Practical AIDaniel Whitenack and Chris Benson

Machine Learning Street Talk (MLST)Machine Learning Street Talk (MLST)

Super Data Science: ML & AI Podcast with Jon KrohnJon Krohn

No Priors: Artificial Intelligence | Technology | StartupsConviction

Dwarkesh PodcastDwarkesh Patel

Recent Guests

Max Welling

Founder/CEO of CuspAI and AI researcher

CuspAI

Episode: Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

Fatih Porikli

Vice President of Technology at Qualcomm

Qualcomm

Episode: Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773

Damian Borth

Professor of AI and Machine Learning at the University of St. Gallen

University of St. Gallen

Episode: Why Models Are AI’s Next Training Dataset with Damian Borth - #772

Alex Wiltschko

Founder and CEO of Osmo, former Google DeepMind researcher

Osmo

Episode: How AI Learns to Smell with Alex Wiltschko - #771

Devvret Rishi

GM of AI at Rubrik

Rubrik

Episode: Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770

Alex Bowcut

Head of Engineering at Sphere

Sphere

Episode: Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769

Jure Leskovec

Co-founder and chief scientist at Kumo; Professor at Stanford University

Kumo; Stanford University

Episode: Relational Foundation Models for Enterprise Data with Jure Leskovec - #768

Scott Clark

Co-founder and CEO of Distributional

Distributional

Episode: How to Find the Agent Failures Your Evals Miss with Scott Clark - #767

Philip Kiely

Head of AI Education at Baseten

Baseten

Episode: How to Engineer AI Inference Systems with Philip Kiely - #766

Host

Sam Charrington

Host of TWIML AI Podcast

Reviews

4.8 out of 5 stars from 933 ratings

Great
Great podcast for keeping abreast of the latest in AI, always focused on the research, interesting conversations. No BS!
Apple Podcasts
5
eoaur
Germanya year ago
Awesome!
Sam is an amazing host! Technical, kind and gets the best out of each guest. 10 starssss out of 5.
Apple Podcasts
5
anxnsodkcoapsjdj
United States2 years ago
Excellent technical AI podcast
Finally the podcast I’ve been looking for. Technical yet practical and approachable. Well done.
Apple Podcasts
5
IL iPhone Guy
United States2 years ago
Incredible Host makes machine learning easier to understand
This show is fantastic due to Sam’s charismatic nature & skills as an incredible interviewer. He has some brilliant guests & does a great job of teasing a conversation to get really great insights other hosts may miss. He also does a great job of making complex subjects easier to understand. One of my have eps so far is with Sasha at Hugging Face. Sam has conversations you just can’t find online else where which makes it one of my all round favourites! Papillon Luck
Apple Podcasts
5
Papillon Luck
United Kingdom2 years ago
Excellent discussions of technical advances in AI
Reliably 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.
Apple Podcasts
5
camnndmami
United States2 years ago

Embed These Reviews on a Website

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners praise the host for technical depth and engaging interviews with world-class researchers.

Audio quality is occasionally noted as an area for improvement, but content is consistently high quality.

Guests are described as brilliant and the conversations reveal insights not easily found elsewhere.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts	#141	United States/Technology
Apple Podcasts	#194	United Kingdom/Technology
Apple Podcasts	#202	Canada/Technology
Apple Podcasts	#98	Italy/Technology
Apple Podcasts	#125	Australia/Technology
Apple Podcasts	#144	France/Technology

Talking Points

Recent interactions between the hosts and their guests.

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

Q: You recently did a keynote at iClear and talked about waves and applying that to machine learning and stochastic systems. Talk a little about that work.

Max describes the wave-inspired neural architectures, showing how traveling waves support memory and edge-of-chaos dynamics, and explains spontaneous symmetry breaking as a design principle for stable, wave-like information propagation in networks.

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

Q: I meant all the way to lab experiments, and I was curious if you have enough data to say that your hit rate with this process is higher versus lower, or if there's anything you can say quantitatively about the candidates that you produce relative to the traditional approach.

He notes evidence of greater efficiency, with simulations achieving in days what previously took months or a PhD-level effort, and mentions ongoing lab engagements and a national lab contract to validate results.

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

Q: Got it. So let's dig into the technology and the approach that you're taking to apply this original set of work to materials. How did you get started with that effort?

Max explains the motivation: leveraging aquivariants and physics-inspired representations to model materials, leading to the founding of CuspAI and collaborations with labs to design materials with AI, spanning MOFs, semiconductors, and batteries.

Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773

Q: What is the main objective discussed in the DISCO paper and how does it differ from traditional image generation training goals?

DISCO introduces a reinforcement learning objective that explicitly encourages diversity among faces within an image, ensuring that generated identities are distinct rather than cookie-cutter replicas, while still maintaining alignment with the prompt and image quality.

Why Models Are AI’s Next Training Dataset with Damian Borth - #772

Q: What were the early milestones that convinced you this approach could scale beyond toy models, and what were the tricks that helped you handle diverse model zoos and architectures?

Early milestones included developing an autoencoder to compress weight sequences, proving you could predict performance metrics from latent representations, and then extending to generate models by sampling in the latent space. Key tricks involved adapting tokenization and normalization to operate agnostically across architectures, handling permutation symmetries, and progressively scaling from toy networks to larger, real-world models to enable cross-architecture generation.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About The TWIML AI Podcast

What is The TWIML AI Podcast about and what kind of topics does it cover?

This show consistently centers advanced AI research, practical deployments, and the changing role of machine learning in business and technology. Across episodes, listeners encounter deep dives into topics like scale, inference, agentic systems, and applied research from academia and industry, often featuring leaders who bridge theory and real-world impact. Notable strengths include access to world-class researchers and practitioners, thoughtful probing questions, and a willingness to explore contentious or frontier areas with clear takeaways for engineers, researchers, and decision-makers. A few episodes highlight how governance, safety, and measurable outcomes shape enterprise AI, while sponsorships and topical guests occasionally illumin... more

Where can I find podcast stats for The TWIML AI Podcast?

Rephonic provides a wide range of podcast stats for The TWIML AI Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to The TWIML AI Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does The TWIML AI Podcast get?

Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for The TWIML AI Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for The TWIML AI Podcast?

Rephonic provides comprehensive predictive audience data for The TWIML AI Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does The TWIML AI Podcast have?

To see how many followers or subscribers The TWIML AI Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to The TWIML AI Podcast?

These podcasts share a similar audience with The TWIML AI Podcast:

1. Practical AI
2. Machine Learning Street Talk (MLST)
3. Super Data Science: ML & AI Podcast with Jon Krohn
4. No Priors: Artificial Intelligence | Technology | Startups
5. Dwarkesh Podcast

How many episodes of The TWIML AI Podcast are there?

The TWIML AI Podcast launched 10 years ago and published 793 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact The TWIML AI Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for The TWIML AI Podcast?

Rephonic pulls ratings and reviews for The TWIML AI Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for The TWIML AI Podcast?

Rephonic provides full transcripts for episodes of The TWIML AI Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on The TWIML AI Podcast?

Recent guests on The TWIML AI Podcast include:

1. Max Welling
2. Fatih Porikli
3. Damian Borth
4. Alex Wiltschko
5. Devvret Rishi
6. Alex Bowcut
7. Jure Leskovec
8. Scott Clark

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.

Try it free for 7 days