Radical Talks

Ori Eldorov, founder and CEO of Offdeal, a former Wall Street banker turned AI-native investment banker. He talks about building a 13-person, AI-first firm that competes with legacy players. Topics include automating blockers, using context-rich pipelines, agent-driven sales prep, voice-driven context capture, rapid prototyping with AI, and blending multidisciplinary thinking to amplify model value.

Arsham Ghahramani, CEO and Co-Founder of Ribbon, joins Radical Partner Sanjana Basu to unpack fundraising from the founder’s side of the table. With a PhD in AI focused on cancer research and early experience scaling recommendation systems at Amazon, Arsham brings both technical depth and operating perspective to the conversation. Now he leads Ribbon, an AI hiring platform that has conducted over one million interviews and raised $8M+ to date. They break down what actually drives venture conviction, how founders should think about fund theses and stages, and why investor relationships start long before a formal raise. From the reality of two-seconds-per-slide pitch reviews to navigating process opacity with clarity, this episode offers a pragmatic look at how to approach capital with strategy and confidence.

Jim Fan, Director and Distinguished Research Scientist at NVIDIA, joins Radical Partner Molly Welch to explore what's holding back embodied AI and robotics. While large language models have advanced rapidly, Jim explains why progress in the physical world depends less on ever-larger models and more on solving fundamental problems: exploration-driven learning, scalable data pipelines, and synthetic simulation. Drawing on his journey from OpenAI to leading NVIDIA's Project GR00T, they discuss the robotics data bottleneck, why foundation models matter, and what must happen before robotics reaches its "GPT-4 moment."

John Maslin, CEO and Co-Founder of Vulcan Elements, joins Radical Partner Molly Welch to unpack the overlooked physical infrastructure behind AI. While chips dominate most conversations, John explains why rare earth magnets are a foundational dependency across data centers, semiconductor manufacturing, robotics, EVs, and defense systems, and why today’s globally concentrated supply chain poses real economic and national security risk. Drawing on his work rebuilding domestic magnet manufacturing, the discussion explores what it takes to reshore critical industrial capacity, why execution matters more than policy alone, and how physical constraints will increasingly shape AI at scale.

Databricks Chief AI Scientist Jonathan Frankle joins Radical Partner Vin Sachidananda for a special conversation from Radical Ventures’ AI Masterclass Series. Together, they explore what it takes to move AI from academic insight to real-world, enterprise-scale deployment. Drawing on Jonathan’s experience co-founding Mosaic ML and now leading research at Databricks, the discussion covers why early efficiency gains feel “quaint,” how open-source serves as scientific proof, and why evaluation remains the missing infrastructure for enterprise AI adoption. A practical conversation for founders and technical leaders building AI systems that need to perform in production.

The story of modern AI cannot be told without Geoffrey Hinton and Jeff Dean. In this special episode of Radical Talks, recorded live at NeurIPS, the longtime collaborators and friends join Radical Ventures Co-Founder Jordan Jacobs to explore how bold ideas finally met the infrastructure required to scale them. From early breakthroughs at Google to the choices shaping today’s systems, they reflect on the leadership decisions, risks, and responsibilities that will define what comes next for AI.

Joelle Pineau is one of the architects behind modern AI — and as Chief AI Officer at Cohere, she’s focused on turning breakthrough research into real-world impact. In this special episode of Radical Talks, recorded live at Radical Ventures’ AI Founders Masterclass, Joelle joins Radical Partner Sanjana Basu to explore how frontier AI actually makes its way from the lab into the enterprise. Drawing on her experience building FAIR at Meta and now leading applied AI at Cohere, Joelle shares how leadership judgment, culture, and rigor shape what gets built and what ultimately lasts. Along the way, she unpacks her Plus-One principle, the responsibility that comes with deploying powerful systems, and what it takes to lead high-performance AI teams at scale.

Fei-Fei Li, renowned AI researcher and CEO and Co-founder of World Labs, is pushing the field toward its next frontier: spatial intelligence. Fresh off the commercial launch of Marble — World Labs’ generative world model that turns simple prompts into fully editable 3D environments — she joins host Molly Welch to explore why modeling and reasoning about the physical world remains the missing dimension in today’s AI paradigm. Drawing on the legacy of her ImageNet work, which helped ignite the deep learning revolution, Fei-Fei shares why spatial intelligence is her latest North Star and how World Labs is building frontier models that give creators unprecedented control over virtual worlds.

May Habib co-founded WRITER in 2020 after previously co-founding a localization startup, bringing her longtime passion for language technology to enterprise AI. Under her leadership as CEO, WRITER has developed into a full-stack AI platform serving global companies like Salesforce, Uber, and Vanguard while continuously adapting to the unprecedented pace of change in the generative AI landscape.

Ted Mabrey, Head of Palantir Commercial, shares his journey with the company since 2010. He delves into Palantir's foundational belief system centered on techno-optimism and supporting Western institutions. Ted discusses the unique culture that balances creativity with structure, emphasizing the recruitment of elite talent. He explains the Forward Deployed Engineer model and the strategic expansion of Palantir's AI platforms, including AIP. Finally, he critiques the commodification of SaaS and highlights Palantir's role as a platform for future builders.