
The TWIML AI Podcast with Sam Charrington
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, we hope to help make ML and AI more accessible and enhance the lives of our audience and their communities. Through the podcast, we bring 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. The TWIML AI Podcast is hosted by Sam Charrington, a sought-after industry analyst, speaker, commentator, and thought leader. Samโs research is focused on the business and consumer application of machine learning and AI, bringing AI-powered products to market, and AI-enabled and -enabling technology platforms
Episodes


The Evolution of Reasoning in Small Language Models [Yejin Choi] - 761

Intelligent Robots in 2026: Are We There Yet? [Nikita Rudin] - 760

Rethinking Pre-Training for Agentic AI [Aakanksha Chowdhery] - 759

Why Vision Language Models Ignore What They See [Munawar Hayat] - 758

Scaling Agentic Inference Across Heterogeneous Compute [Zain Asgar] - 757

Proactive Agents for the Web [Devi Parikh] - 756

AI Orchestration for Smart Cities and the Enterprise [Robin Braun and Luke Norris] - 755

Building an AI Mathematician [Carina Hong] - 754

Qualcomm's AI250 Attacks the AI Inference Memory Bottleneck | Durga Malladi Interview

High-Efficiency Diffusion Models for On-Device Image Generation and Editing [Hung Bui] - 753

Vibe Coding's Uncanny Valley [Alexandre Pesant] - 752

Dataflow Computing for AI Inference [Kunle Olukotun] - 751

Recurrence and Attention for Long-Context Transformers [Jacob Buckman] - 750

The Decentralized Future of Private AI [Illia Polosukhin] - 749

Inside Nano Banana ๐ and the Future of Vision-Language Models [Oliver Wang] - 748

Is It Time to Rethink LLM Pre-Training? [Aditi Raghunathan] - 747

Building an Immune System for AI Generated Software [Animesh Koratana] - 746

Autoformalization and Verifiable Superintelligence [Christian Szegedy] - 745

Multimodal AI Models on Apple Silicon with MLX [Prince Canuma] - 744
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