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

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

Sam Charrington

Booking Overview

This is a technical AI and machine learning interview show featuring external researchers, professors, founders, and senior technology executives discussing advances in AI research, infrastructure, and applications. Credible pitches include accomplished AI researchers, university faculty, technical founders, CTOs, and senior engineering or product leaders with original work or substantial expertise; booking difficulty is high because the show favors highly credible, technically sophisticated guests.

Metrics

Episodes: 798

Frequency: Weekly

Rating: 4.7/5.0

Estimated listeners: 10,000 - 100,000

Gender skew: Male

Listener location: USA

YouTube: 30.8k subscribers

Instagram: 795 followers

Contact Information

Publicly listed emails

team@twimlai.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Sam Charrington - Industry analyst, speaker, commentator, and thought leader specializing in machine learning and artificial intelligence.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Leading AI or machine learning researchers, university professors, technical founders, CTOs, senior engineering or technology executives, and specialists with substantial original work in an important area of AI.
Required Achievements:  
Founded or led an AI company or major technical initiative, Published influential research or advanced a significant AI method, Held a senior technical role at a major technology company, Led applied AI work in areas such as computer vision, language technologies, scientific discovery, or AI infrastructure

Recent Guest Discussions

Alexander Smola - Voice Agents, Audiovisual Agents, AI Avatars, Real-time Voice, Audio Tokenization, Latency, Inference Cost, Emotional Intelligence, And Natural Human-computer Interaction.

Chris Potts - AI Tokenomics, Token Usage, Model Economics, Inference-time Scaling, AI Fluency, Dspy, Interpretability, Transformer Architectures, And Efficient AI Systems.

Justin Johnson - World Models, Spatial AI, 3d Representations, Generative Models, Simulation, Planning, Evaluation, Virtual Environments, And Robotics.

Max Welling - Generative AI For Materials Discovery, Foundation Models For Chemistry, Scientific Automation, Physics-inspired Machine Learning, Thermodynamics, And New Computational Primitives For Ai.

Fatih Porikli - Image Generation, Controllability, Scene Planning, High-resolution Generation, On-device AI, Reinforcement Learning, Image Editing, And Generative Vision Systems.

Recent Topics

Technology, Artificial Intelligence, Machine Learning, Data Science, Deep Learning

Episodes

Here's the recent few episodes on
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
:

Your Ranking Model Is Optimizing the Wrong Thing with Zoe Weil - #780

October 15, 2026

In this episode, Zoe Weil, co-founder and CEO of Sequen, joins us to discuss how ranking systems can use live behavioral signals to optimize for purchases rather than clicks or search relevance alone. Zoe explains why approaches developed at data-rich social platforms don’t necessarily translate to retailers and how Sequen uses scroll speed, hover duration, and other in-session interactions to infer shopper intent without relying on user identity. We explore the company’s large event models ...

Why Jev Is Changing How We Build With AI with Diogo Almeida - #779

October 06, 2026

In this episode, Diogo Almeida, co-founder and CEO of TypeSafe, joins us to discuss Jev, TypeSafe’s recently released model for bringing fast, reliable intelligence directly into software. We explore the idea of “machine-native intelligence” and why Diogo believes models optimized for generating text are poorly suited to many of the decisions required for real-world automation. He explains how Jev differs from traditional classifiers and LLM-based approaches, the role of reinforcement learnin...

From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778

September 29, 2026

AI systems have gone from struggling with grade-school math to helping solve research problems that have resisted mathematicians for decades, including Navier-Stokes. In this episode, Greg Burnham, who leads AI capabilities research at Epoch AI, joins us to examine what that progress says about where AI is going. We look at how these systems are solving hard math problems, how much they rely on persistence and prior human work, and whether they are starting to produce genuinely new ideas. W...

Similar Podcasts

Podcast(s) similar to
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
:

Data Skeptic · Medium booking difficulty · 10,000 - 100,000 listeners

Super Data Science: ML & AI Podcast with Jon Krohn · High booking difficulty · 1,000 - 10,000 listeners

Dwarkesh Podcast · Very high booking difficulty · 10,000 - 100,000 listeners

Google DeepMind: The Podcast · Very high booking difficulty · 10,000 - 100,000 listeners

Practical AI · Medium booking difficulty · 1,000 - 10,000 listeners

Frequently asked questions

Here's some frequently asked questions for
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
:

How do I get in touch with The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) is hosted by Sam Charrington. Its publicly listed email is team@twimlai.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

The publicly listed email for The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence): team@twimlai.com.

How many listeners does The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) have?

Podseeker estimates The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) reaches 10,000 to 100,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) typically books industry leaders. Typical guest background: Leading AI or machine learning researchers, university professors, technical founders, CTOs, senior engineering or technology executives, and specialists with substantial original work in an important area of AI. Common among recent guests: Founded or led an AI company or major technical initiative; Published influential research or advanced a significant AI method; Held a senior technical role at a major technology company. Recent guests include Alexander Smola, Chris Potts, and Justin Johnson.

How hard is it to get booked on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

High. It mostly books established leaders in its field.

What topics does The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover?

Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Data Science, and Deep Learning. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

team@twimlai.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Get your clients booked on top podcasts

Try us risk free with a FREE 3 days trial.

Start Your Free Trial

Join hundreds of PR teams using Podseeker to pitch and land bookings