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Possible

Possible

Written by: Reid Hoffman
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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 explore what’s possible with forward-thinking leaders, deep thinkers, and ambitious builders across many fields, such as technology, art, education and healthcare. These conversations center on the ways technology—and, in particular, AI—is shaping the future. In episodes, AI tools such as OpenAI’s GPT-4 and Inflection’s Pi are at work, offering informational asides, prompting guests, or demoing what they can do. Lastly, between guest episodes, Aria interviews her co-host Reid on his latest takes on what’s possible if we use technology—and our collective effort—effectively.Reid Hoffman 2023
Episodes
  • Making taxes fun with Pikachu and AI | Cadi Zhang

    Making taxes fun with Pikachu and AI | Cadi Zhang
    Aug 12 2026
    Cadi Zhang joins Reid Hoffman and Parth Patil to explore how generative AI is changing game development, world models, and robotics. Drawing on her work across Unity games, VR teleoperation, AI accounting, and robotics product operations, Cadi explains what virtual worlds can teach embodied intelligence—and why physical robots still lack the tactile, real-world data that can’t be scraped from the internet. She shares how she uses GPT, Blender, PixelLab, and Aseprite to prototype games faster, including a duck-themed imposter game and PokéTax, her Pokémon-inspired tax-filing game. AI can rapidly generate code, gameplay mechanics, and 3D assets, she says, but it still can’t judge whether a game feels fun, maintain a consistent art style, or model the precise force needed to fold a sheet of paper. Reid, Parth, and Cadi discuss simulation-to-reality gaps, the limits of current world models, robot safety, humanoid versus task-specific form factors, and why human taste remains the decisive creative skill.
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    35 mins
  • How Sougwen Chung teaches robots to pause

    How Sougwen Chung teaches robots to pause
    Aug 5 2026
    Sougwen Chung has spent more than a decade drawing alongside robots—not to automate their art, but to discover what changes when a machine becomes a creative partner. They join Reid to trace the evolution of D.O.U.G., a series of robotic collaborators that learns from Sougwen’s gestures, including a neural network trained on two decades of their drawings. Sougwen explains why unexpected machine marks became errors to “poeticize,” what becoming machine-readable taught them about remaining human, and why they call their practice “operational art” rather than “AI art.” They also explore a new system guided by brainwaves and an ancient calligraphic pause—and ask whether the intelligent systems we build need more than speed and capability. Maybe they also need silence, restraint, and the wisdom to wait. Credits: A big thanks to Natalie Stone, Tessa Nijdam, Arina Ermakova , the Scilicet team, Fellowship, Reece Straw, Sam Osborn, Nick Capezzera, Maximilian Andereya, Peter Butterworth, Haruka Wang and the team at Mosaic Ventures for hosting the conversation. Additional Credits: MIMICRY (Drawing Operations Unit: Generation_1), 2015. Footage: Sam Osborn and Nick Capezzera. MEMORY (Drawing Operations Unit: Generation_2), 2017. Footage: NTT InterCommunication Center Tokyo. COLLECTIVITY (Drawing Operations Unit: Generation_3), 2018. Footage: New INC & Nokia Bell Labs. SPECTRALITY (Drawing Operations Unit: Generation_4), 2020. Footage: Maximilian Andereya. ASSEMBLY (Drawing Operations Unit: Generation_5), 2022. Footage: Peter Butterworth. GENESIS Process Film, 2023. Courtesy of the artist and Studio SCILICET.
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    56 mins
  • The artist using AI to sell brands | Joe Salvatore

    The artist using AI to sell brands | Joe Salvatore
    Jul 29 2026
    Visual artist and brand content creator Joe Salvatore joins Reid Hoffman and Parth Patil to explain how AI is turning creative professionals into orchestrators of systems rather than makers of one piece at a time. Joe spent four years chasing every new image and video model out of pure creative curiosity before Parth pushed him to take a step back and become a director of these tools. He traces that shift, from generating a single image, to making 200, to running fully automated ad campaigns through Codex, and explains why the critical skill turned out not to be technical at all. As he puts it, he can outsource production, but he can't outsource his taste. He walks through a live campaign for Ketone-IQ, using a Hermes agent to research decades of proven advertising styles, then chaining models together to generate and grade hundreds of on-brand variations overnight. He and Parth get into how a shared creative agent learns from everyone it works with, why articulating an idea clearly has become the differentiator, and how AI made the gap between a sloppy brief and a tight one impossible to hide. Reid, Parth and Joe close on Wittgenstein, and why language no longer just describes the world but summons it. Referenced in episode: the Lord of the Rings x Wes Anderson AI trailer: https://www.youtube.com/watch?v=KrjL_TSOFrI
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    37 mins
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