Podcast
Possible
Reid Hoffman and Aria Finger explore how technology, AI, and ambitious ideas could shape the future.
Original source
Making taxes fun with Pikachu and AI | Cadi Zhang
Cadi Zhang discusses how generative AI is speeding up game prototyping and asset creation, while still falling short on taste, consistency, and the human judgment needed to make games fun. The conversation then shifts to robotics, where teleoperation, world models, and egocentric data are promising but real-world deployment is still constrained by missing tactile data, safety, and form-factor tradeoffs.
How Sougwen Chung teaches robots to pause
Sougwen Chung describes a decade-long practice of drawing with robots to explore collaboration, error, and extended authorship rather than machine replacement. The episode centers on pause, timing, and restraint—showing how Chung built systems that restore time to drawing data, respond to brainwave thresholds, and make silence part of the artwork.
The artist using AI to sell brands | Joe Salvatore
Joe Salvatore argues that AI turns creative work into a directing problem: humans still own taste, framing, and judgment while models handle production. He and Parth Patil walk through agentic workflows for brand ads, research, and variation generation, then widen the lens to how AI makes language, storytelling, and software more fluid.
The creator using AI to go viral | Will Weinbach
Will Weinbach explains how he moved from non-coder experimentation to building autonomous AI agents that create, edit, schedule, and optimize social content. Reid Hoffman and Parth Patil use his work to explore what AI-native creativity, observability, and hiring may look like as agents take on more workflow and memory.
The film director winning awards with AI | Ben Hansford
Ben Hansford argues AI is becoming a creative crew for filmmakers, not just a tool, and shows how he uses it to win commercial work, teach students, and prototype new media formats. He also explains how shrinking budgets, changing audience behavior, and a lack of comic-book illustrators are pushing Hollywood and creators toward AI-assisted workflows.
Introducing Tokens to the Future: free tokens for builders
Parth Patil outlines a world where AI agents can work for days, collaborate persistently, and dramatically compress the time from idea to working product. He and Reid Hoffman frame the token grantee program as a way to fund builders with recurring AI tokens, unrestricted tools, and hands-on agent support.
America's aerospace rebirth
Blake Scholl argues Boom is reinventing aerospace by building supersonic aircraft, engines, and software in-house rather than relying on a slow legacy supply chain. He also makes the case that AI, additive manufacturing, and a ground-first power business can accelerate both certification and industrial rebuilding.
Who's got the ball on carbon removal?
Nan Ransohoff argues carbon removal is a market-design and public-goods mobilization problem, not just a climate-tech problem. She explains how Stripe’s Frontier uses an advanced market commitment to create demand, why governments will ultimately need to scale it, and how AI and philanthropy could reshape the field.
AI’s next big test: the public market
Reid Hoffman and Aria Finger discuss how a wave of AI IPOs could reshape frontier-lab incentives while broadening AI’s economic gains through public ownership. They also dig into how coding agents will redefine software engineering and how AI-generated music collides with copyright, creativity, and new forms of expression.
Satya Nadella on making human and token capital compound
Satya Nadella argues AI is becoming the operating system of the firm, where companies must manage both human capital and “token capital” to compound their unique expertise. He also outlines Microsoft’s enterprise AI, agent, and silicon strategy, while stressing safety, education reform, and public trust as the real constraints on adoption.