The Vibes-Based Legal System
This week Steve's back to tackle the big question: is AI-generated output copyrightable? The conversation includes discussions of the Copyright Act of 1976, the philosophy of why copyright exists at all, whether LLM training is learning, and why owning a style would destroy culture.
As always, we've got supporter content! This week that includes the Coca-Cola DEA deal and why trade secrets beat patents, what happens when copyright expires on open source code, turning software into giant prime numbers, the JSON "for good and not evil" licensing saga, and a deep dive into why open source licensing is an honor code system that's quietly falling apart. Not a supporter yet? Fix that today by heading over to https://fallthrough.fm/subscribe where you'll get not only extra content but also higher quality audio. Sign up today!
If you prefer to watch this episode, you can view it on YouTube.
This week's episode of Break continues the conversation. Kris, Matt, and Steve pick up the copyright thread and ask whether it even matters to working developers, draw parallels to the U.S. tax system, and debate whether the frantic pace of AI standards is chaos or just what innovation looks like. Watch it on YouTube or listen with your favorite podcasting app! Learn more by going to https://break.show/27.
Thanks for tuning in and happy listening!
As always, we've got supporter content! This week that includes the Coca-Cola DEA deal and why trade secrets beat patents, what happens when copyright expires on open source code, turning software into giant prime numbers, the JSON "for good and not evil" licensing saga, and a deep dive into why open source licensing is an honor code system that's quietly falling apart. Not a supporter yet? Fix that today by heading over to https://fallthrough.fm/subscribe where you'll get not only extra content but also higher quality audio. Sign up today!
If you prefer to watch this episode, you can view it on YouTube.
This week's episode of Break continues the conversation. Kris, Matt, and Steve pick up the copyright thread and ask whether it even matters to working developers, draw parallels to the U.S. tax system, and debate whether the frantic pace of AI standards is chaos or just what innovation looks like. Watch it on YouTube or listen with your favorite podcasting app! Learn more by going to https://break.show/27.
Thanks for tuning in and happy listening!
Table of Contents:
- Prologue (00:00:00)
- Chapter 1: Snow, Ice, and Frozen Pipes (00:01:26)
- Chapter 2: Is AI Output Copyrightable? (00:04:24)
- Chapter 3: Training vs Output: Two Separate Questions (00:07:28)
- Chapter 4: The 1976 Copyright Act and Software (00:11:12)
- Chapter 7: Copyleft vs Permissive in the LLM Era (00:15:59)
- Chapter 8: Copyright as a Weapon, Not a Shield (00:20:50)
- Chapter 9: LLM Training Is Just Learning (00:23:04)
- Chapter 10: Owning a Style Would Destroy Culture (00:26:57)
- Chapter 11: The Real Problem Is Bigger Than Copyright (00:32:40)
- Chapter 12: AI Acceptance and What Is Thinking? (00:36:41)
- Chapter 13: Our Definition of Thinking Is Just Vibes (00:41:58)
- Chapter 18: The Whole System Is Vibes (00:47:32)
- Epilogue (00:48:47)
Socials:
- (00:00) - Prologue
- (01:26) - Chapter 1: Snow, Ice, and Frozen Pipes
- (04:24) - Chapter 2: Is AI Output Copyrightable?
- (07:28) - Chapter 3: Training vs Output: Two Separate Questions
- (11:12) - Chapter 4: The 1976 Copyright Act and Software
- (15:59) - Chapter 7: Copyleft vs Permissive in the LLM Era
- (20:50) - Chapter 8: Copyright as a Weapon, Not a Shield
- (23:04) - Chapter 9: LLM Training Is Just Learning
- (26:57) - Chapter 10: Owning a Style Would Destroy Culture
- (32:40) - Chapter 11: The Real Problem Is Bigger Than Copyright
- (36:41) - Chapter 12: AI Acceptance and What Is Thinking?
- (41:58) - Chapter 13: Our Definition of Thinking Is Just Vibes
- (47:32) - Chapter 18: The Whole System Is Vibes
- (48:47) - Epilogue
Creators and Guests
Host
Matthew Sanabria
Matthew is an engineering leader focused on building reliable, scalable, and observable systems. Matthew is known for using his breadth and depth of experience to add value in minimal context situations and help great people become great engineers through mentoring. Matthew serves the Go community as a member of GoBridge. In his spare time, Matthew spends time with his family, helps grow his wife's chocolate business, works on home improvement projects, and reads technical resources to learn and tinker.
