Machine Learning Street Talk (MLST)
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About
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
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Recent episodes
- What Most People Get Wrong About Evolution | Akarsh Kumar
- How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
- Who Checks a Proof No Human Can Read? — Leo de Moura
- When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
- How Deep Learning Finally Cracked Messy Tables - Frank Hutter
- Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
- How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
- Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy
- How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
- AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen