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
Publicly listed emails
team@twimlai.com
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Sam Charrington - Industry analyst, speaker, commentator, and thought leader specializing in machine learning and artificial intelligence.
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.
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...
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
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.
The publicly listed email for The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence): team@twimlai.com.
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.
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.
High. It mostly books established leaders in its field.
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
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