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Artwork for The TWIML AI Podcast

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

Sam Charrington
Generative AI
Machine Learning
Large Language Models
Artificial Intelligence
Azure Openai
Partyrock
AI Ethics
Perceptual Metrics
Image Colorization
Data Attribution
Startup Ecosystem
Security and Data Privacy
Microsoft
Cost Management
Digital Natives
Embedding Models
Active Learning
Responsible AI
Security
Neural Networks

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

PublishesTwice monthlyEpisodes782Founded10 years ago
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Artwork for The TWIML AI Podcast

Latest Episodes

Today, we're joined by Stefano Ermon, associate professor at Stanford University and CEO of Inception Labs to discuss diffusion language models. We dig into how diffusion approaches—traditionally used for images—are being adapted for text and code ge... more

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In this episode, Sid Pardeshi, co-founder and CTO of Blitzy, joins us to discuss building autonomous development systems able to deliver production-ready software at enterprise scale. Sid contrasts AI-assisted coding with end-to-end autonomy, arguing... more

YouTube

In this episode, Sebastian Raschka, independent LLM researcher and author, joins us to break down how the LLM landscape has changed over the past year and what is likely to matter most in 2026. We discuss the shift from raw model scaling to reasoning... more

YouTube

Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University in the Computer Science Department and the Institute for Human-Centered AI (HAI). In this conversation, we explore Yejin’s recent work on making small language mode... more

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Recent Guests

Siddhant Pardeshi
Co-founder and CTO of Blitzy
Blitzy
Episode: Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763
Sebastian Raschka
Independent LLM researcher
Independent
Episode: AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762
Yejin Choi
Professor and senior fellow at Stanford University in the Computer Science Department and Institute for Human-Centered AI
Stanford University
Episode: The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
Nikita Rudin
Co-founder and CEO of Flexion Robotics
Flexion Robotics
Episode: Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760
Aakanksha Chowdhery
A member of the technical staff at Reflection, involved in building essential large language models.
Reflection
Episode: Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759
Munawar Hayat
Researcher at Qualcomm AI Research
Qualcomm AI Research
Episode: Why Vision Language Models Ignore What They See with Munawar Hayat - #758
Zain Asgar
Co-founder and CEO of Gimlet Labs and adjunct professor of computer science at Stanford University
Gimlet Labs
Episode: Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757
Devi Parikh
Co-founder and co-CEO of Yutori
Yutori
Episode: Proactive Agents for the Web with Devi Parikh - #756
Carina Hong
Founder and CEO at Axiom, with a deep interest in mathematical reasoning.
Axiom
Episode: Building an AI Mathematician with Carina Hong - #754

Host

Sam Charrington
Host of an influential podcast featuring discussions on machine learning and artificial intelligence with top industry experts.

Reviews

4.8 out of 5 stars from 930 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
    Germany10 months 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 Statesa year 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

Listeners Say

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

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's questions are so spot on. "That's an interesting question" is something you will hear guests say a lot.
Great podcast for keeping abreast of the latest in AI, always focused on the research, interesting conversations. No BS!
Sam is an amazing host! Technical, kind and gets the best out of each guest. 10 starssss out of 5.

Chart Rankings

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

Apple Podcasts
#107
United States/Technology
Apple Podcasts
#107
United Kingdom/Technology
Apple Podcasts
#178
Canada/Technology
Apple Podcasts
#103
Italy/Technology
Apple Podcasts
#175
Australia/Technology
Apple Podcasts
#180
Germany/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
Q: Can you elaborate on pluralistic alignment?
Choi explains that pluralistic alignment involves AI learning from a diverse range of human values and being able to navigate different perspectives.
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
Q: What are the unique characteristics of reasoning as they pertain to small models?
Choi discusses how small language models require better quality data and novel algorithmic approaches to enhance reasoning capabilities.
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
Q: What drives your interest in SLMs?
Choi expresses a mission to democratize general AI so more people, including academics, can engage with AI technology and solutions.
Why Vision Language Models Ignore What They See with Munawar Hayat - #758
Q: What are the key benchmarks you see for evaluating vision language models?
Hayat discusses benchmarks like Science QA and AI2D but notes they often allow responses without visual data, indicating a lack of challenge. He highlights newer benchmarks like CVBench that require visual context for accurate responses.
Why Vision Language Models Ignore What They See with Munawar Hayat - #758
Q: What do you think is lacking in the current capabilities of vision language models?
Hayat emphasizes that current models often ignore physical properties and visual input, making it difficult to generate accurate outputs based on real-world physics, impacting task performance significantly.

Audience Metrics

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

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Frequently Asked Questions About The TWIML AI Podcast

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

Exploring the forefront of machine learning and artificial intelligence, this series brings together leading experts and pioneers in the field. Listeners are treated to in-depth discussions on topics such as small language models, agentic AI, and automation in smart cities. The episodes blend technical depth with accessibility, aiming to bridge the gap between advanced AI concepts and their practical applications in various industries. Notable for its focus on the latest research and real-world implications, the content appeals to both tech enthusiasts and professionals keen on staying abreast of developments in AI and machine learning.

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Which podcasts are similar to The TWIML AI Podcast?

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

1. Latent Space: The AI Engineer Podcast
2. Practical AI
3. Machine Learning Street Talk (MLST)
4. No Priors: Artificial Intelligence | Technology | Startups
5. NVIDIA AI Podcast

How many episodes of The TWIML AI Podcast are there?

The TWIML AI Podcast launched 10 years ago and published 782 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The TWIML AI Podcast?

Recent guests on The TWIML AI Podcast include:

1. Siddhant Pardeshi
2. Sebastian Raschka
3. Yejin Choi
4. Nikita Rudin
5. Aakanksha Chowdhery
6. Munawar Hayat
7. Zain Asgar
8. Devi Parikh

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