No Priors: AI, Machine Learning, Tech, & Startups | No Priors Ep. 2 | With Runway ML’s Cristobal Valenzuela @NoPriorsPodcast | Uploaded May 2023 | Updated October 2024, 1 hour ago.
For a long time, AI-generated images and video felt like a fun toy. Cool, but not something that would bring value to professional content creators. But now we are at the exciting moment where machine learning tools have the power to unlock more creative ideas.
This week on the podcast, Sarah Guo and Elad Gil talk to Cristobal Valenzuela, a technologist, artist and software developer. He’s also the CEO and co-founder of Runway, a web-based tool that allows creatives to use machine learning to generate and edit video. You've probably already seen Runway's work in action on the Late Show with Stephen Colbert and in the feature film Everything Everywhere All at Once.
00:00 - Introduction
01:50 - Cris’s background and how he doesn’t see barriers between art and machine learning
06:46 - How Runway works as a tool
08:36 - The origins and early iterations of Runway
12:22 - Product sequencing and roadmapping in a fast growing space
15:43 - Runway as an applied research company
19:10 - Common pitfalls for founders to avoid
22:35 - How Runway structures teams for effective collaboration
24:22 - Learnings from how Runway built Greenscreen product
28:01 - Building a long-term and sustainable business
32:34 - Finding Product Market Fit
36:34 - The influence of AI tools in art as an artistic movement
For a long time, AI-generated images and video felt like a fun toy. Cool, but not something that would bring value to professional content creators. But now we are at the exciting moment where machine learning tools have the power to unlock more creative ideas.
This week on the podcast, Sarah Guo and Elad Gil talk to Cristobal Valenzuela, a technologist, artist and software developer. He’s also the CEO and co-founder of Runway, a web-based tool that allows creatives to use machine learning to generate and edit video. You've probably already seen Runway's work in action on the Late Show with Stephen Colbert and in the feature film Everything Everywhere All at Once.
00:00 - Introduction
01:50 - Cris’s background and how he doesn’t see barriers between art and machine learning
06:46 - How Runway works as a tool
08:36 - The origins and early iterations of Runway
12:22 - Product sequencing and roadmapping in a fast growing space
15:43 - Runway as an applied research company
19:10 - Common pitfalls for founders to avoid
22:35 - How Runway structures teams for effective collaboration
24:22 - Learnings from how Runway built Greenscreen product
28:01 - Building a long-term and sustainable business
32:34 - Finding Product Market Fit
36:34 - The influence of AI tools in art as an artistic movement
