Possible
Reid Hoffman
What if, in the future, everything breaks humanity's way? Possible is an award-winning, weekly podcast that sketches out the brightest version of the future—and what it will take to get there. Hosts Reid Hoffman and Aria Finger take that question to the people building the answer: founders, scientists, artists, and deep thinkers working across AI, healthcare, education, and geopolitics. The conversations run deep and specific, testing optimism against hard questions rather than trading hot takes. And between guest episodes, Reid riffs on the AI news that matters and what to make of it.
Episodes
Mentioned books
13 snips
Sep 30, 2026 • 15min
Who gets to pull the plug on AI?
AI’s massive infrastructure bets may be hiding serious financial exposure. Reid Hoffman and Aria Finger explore independent technical auditors, AI kill switches, California’s proposed safeguards, and the political hurdles facing federal oversight. They also debate international cyber treaties, sharper regulation, and whether “synthetic intelligence” better captures AI’s potential.
37 snips
Sep 23, 2026 • 41min
When AI's builders sound the alarm
Warnings of a 10%+ AI extinction risk spark a debate over steering versus slowing development. The conversation explores biological and cyber threats, job disruption, international coordination, recursive self-improvement, and the need for kill switches. It also tackles America’s dual mandate: leading in AI while making prosperity broadly shared through affordable energy, public benefits, and renewed trust.
26 snips
Sep 16, 2026 • 44min
Seven creators, $1,000 a week in AI tokens, one summer
Seven creators receive $1,000 a week in AI tokens and push models into unfamiliar territory. Their experiments span Dungeons & Dragons worldbuilding, a weekend-built iOS game, robotics, filmmaking, and personal agents that grow more useful over time. The conversation explores creative “spark jobs,” human taste, directing swarms of agents, and how to create genuine surprise from predictive systems.
17 snips
Sep 9, 2026 • 41min
Can we defend against AI hacks? | Dozie Anazia
Dozie Anazia, a cybersecurity analyst and computer scientist, explores AI-built software, autonomous penetration testing, and the expanding attack surface, from cloned banking pages to password-stealing hardware signals. He discusses layered defensive agents, agent-versus-agent security, why human hackers still matter, and how deepfakes threaten identity checks. Plus, a simple family safe word for thwarting voice fraud.
43 snips
Sep 2, 2026 • 59min
Training robots for a world they’ve never seen
Chelsea Finn, Stanford computer scientist and cofounder of Physical Intelligence, explores how robots can learn beyond scripted tasks. She recounts months of laundry-folding failures, explains why messy data may improve generalization, and examines robots adapting across bodies and environments. The conversation also tackles misleading demos, hardware reliability, physical safety, humanoids versus simpler machines, and robotics’ potential to reduce drudgery.
99 snips
Aug 26, 2026 • 32min
Inside an AI-powered personal dashboard | Matthew Tiemann
Matthew Tiemann, an AI strategist who builds agent-driven dashboards and automation tools, discusses agent “heartbeat” systems and a personal living-room dashboard. He talks about using Oura sleep data to time decisions. He outlines subagents, adversarial review, 12-hour human check-ins, and lessons from rapid game prototyping.
28 snips
Aug 19, 2026 • 32min
The whole studio is one guy | Jonathan Brazeau
Jonathan Brazeau, a designer and filmmaker who uses AI tools to craft RPG artbooks and indie shorts. He describes AI-assisted pipelines for character design, mocap, rotoscoping, and music. He discusses world-building inspired by Dungeons & Dragons, the “cogs and sparks” split between mechanical work and human creativity, and what a tiny AI-native studio can realistically accomplish.
24 snips
Aug 12, 2026 • 35min
Making taxes fun with Pikachu and AI | Cadi Zhang
Cadi Zhang, a game developer and robotics/product operations practitioner, mixes generative AI with game design and embodied intelligence. She talks about prototyping games with GPT and Blender, building world models for robots, and the limits of AI in judging fun. Conversations cover simulation-to-reality gaps, tactile data challenges, and why human taste and form factor choices still matter.
28 snips
Aug 5, 2026 • 56min
How Sougwen Chung teaches robots to pause
Sougwen Chung, an artist-researcher who draws with robotic collaborators and trained at the MIT Media Lab. She talks about teaching robots to pause, turning machine ‘errors’ into poetic moments, training systems on her gestures while staying human, using EEG-guided pauses, and reframing art as operational practice focused on restraint and timing.
33 snips
Jul 29, 2026 • 37min
The artist using AI to sell brands | Joe Salvatore
Joe Salvatore, a visual artist who builds AI-driven creative systems for advertising. He recounts evolving from making single images to directing chained model workflows and automated ad campaigns. Joe describes using agents to research styles, generate and grade hundreds of on-brand variations overnight. He stresses that clear briefs and human taste remain the differentiators as AI scales creative production.
