Radical Talks

Building the Physical World's First AI Engineer

The AI revolution is changing nearly every industry, from software to content creation, yet one crucial area remains largely untouched: the design of physical things. While AI is great at manipulating digital bits, the physical world — from skyscrapers to spacecraft — still relies on traditional engineering approaches that haven’t fundamentally changed in decades.This gap represents a huge, untapped opportunity. Physical systems could benefit enormously from AI-assisted design, but it’s a tough problem to solve. Current AI models struggle with quantitative and spatial reasoning, and training data is scarce. P-1 AI, a company co-founded by former Airbus CTO Paul Eremenko, is working to bridge this gap by developing an agent capable of mastering the physics and quantitative reasoning needed for physical design.

Voice AI's Enterprise Revolution - How Natural Conversation is Transforming Recruiting and Beyond

While consumer voice AI has long frustrated users with clunky interactions, enterprise voice AI has reached a turning point. The architectural improvements over the past 12-18 months have enabled natural, contextual conversations that are revolutionizing industries from recruiting to healthcare. Sanjana and Arsham join host Molly Welch to discuss why voice represents the most natural human interface, the breakthrough technology stack that's finally working, and how companies like Ribbon are already deploying voice agents that interview candidates 24/7 with Fortune 500 customers.

Rob Toews on Overcoming AI's Catastrophic Forgetting

In this week's Radical Talks podcast, Radical Partner Rob Toews joins host Molly Welch to discuss AI’s curse of catastrophic forgetting and the challenge of building systems capable of continual learning.Rob digs into why this limitation exists and the early work being done to solve it, exploring the emerging AI paradigm that could bridge the gap between static models and truly adaptive intelligence. Continual learning holds the promise of AI systems that grow smarter with every interaction, creating unprecedented competitive moats and bringing us closer to truly adaptive machine intelligence.

A New Season of Radical Talks

Coming soon, Radical Talks cuts through AI hype to showcase what's truly driving innovation. Hosted by Radical Ventures partner Molly Welch, each episode features intimate conversations with researchers, founders, and investors at AI's cutting edge. Discover contrarian perspectives and insider insights you won't find anywhere else, and subscribe wherever you get your podcasts.

Geoffrey Hinton in conversation with Fei-Fei Li

In honour of Geoffrey Hinton winning the Nobel Prize in Physics, we bring you an exclusive Radical AI Founders Masterclass talk between, Geoffrey Hinton and Fei-Fei Li, hosted and moderated by Jordan Jacobs, Managing Partner and Co-Founder of Radical Ventures. The conversation marked the first time Geoff Hinton and Fei-Fei Li have shared a stage, and featured a dramatic recounting of the 2012 ImageNet competition when their professional careers first intersected. It was a pivotal moment in the history of AI, when neural networks proved capable of ‘solving’ computer vision. Recognized as the “godfather of AI,” Hinton candidly voices his apprehensions about the unforeseen challenges of advanced AI, including concerns that innovations could one day yield superior intelligence. However, Hinton also noted that he believes his message of caution is getting through. Li, a Stanford University Professor, Co-Director of Stanford’s Human-Centered AI Institute (HAI), and Radical Ventures Scientific Partner, stressed the need for responsible AI stewardship through human-centred approaches, while grounding the conversation in a sense of optimism about its potential. The discussion was held in front of a live audience at the University of Toronto.