Peter Csathy's synthetic co-hosts discuss Csathy's most recent article that discusses and analyzes where things stand in the current AI copyright infringement / "fair use" battle royale that is playing out between media and big tech companies in the federal courts. Csathy lays out the current state of affairs -- how federal courts have already decided (or soon will decide the "fair use" issue) -- and what that means for the world of generative AI as it meets the Arts. 

The discussion also focuses on Csathy's "call to arms" to the big Hollywood companies to take a firm and loud stand against the unlicensed "taking" of copyrighted works for AI training purposes -- and asks why major entertainment companies like Disney are staying silent amidst it all. 

Finally, Csathy offers alternatives and solutions that should work for both media and tech -- while accelerating "ethical" AI adoption by reducing litigation friction.

Csathy generated the discussion using Google NotebookLM - and he approves its contents.

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This episode features a discussion of the great debate that is front and center now about OpenAI's new image generator, and how it's being widely used by users around the world to create anime art based on the "style" of famed anime artist Hayao MIyazaki. Many creative artists find what OpenAI is enabling to be infringing Miyazaki's works. But OpenAI and Silicon Valley in general pushes back by saying that an artist's "style" is not copyrightable. 

The discussion is based on Peter's most recent article about the subject, where he lays out precisely why OpenAI's actions here can, indeed, be copyright infringement for two separate reasons. It's a fascinating discussion that Peter approved as being faithful to his article - and to his perspectives.

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Host Peter Csathy's "synthetic" co-hosts discuss a sobering reality that faces all websites (not just media publishers and entertainment companies). For general purpose search, consumers increasingly turn to conversational AI chatbots like OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude — as well as to more utilitarian AI search engines like Perplexity — instead of traditional Google and Bing search. This new AI search reality poses a "Code Red" for traditional search.  But it also poses a very real “Code Red” (perhaps even existential) threat for most websites in general and the advertisers that support them. That means all news, media and entertainment companies, of course. But it goes much deeper than that — to anyone and any business that is dependent on advertising and ad-driven traffic. This episode discusses it all, including the new data from TollBit that is the basis for these conclusions.

Peter generated this podcast based on his most recent newsletter using Google NotebookLM (and he listened to, and approved, this episode as being consistent with his discussion, helpful, and engaging).

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Host Peter Csathy recently was a guest on Ricky Sutton's "Future Media" podcast to discuss the recent rejection of "fair use" as a defense to AI training infringement by the federal judge in Thomson Reuters v. Ross Intelligence. Peter discusses all the relevant business and legal issues that arise in the context of generative AI scraping of copyrighted works without consent and compensation -- and calls for a "win win" licensing scheme to benefit all. It's a fascinating discussion with Ricky Sutton and his co-host Alan Chapell. 

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In this episode, Peter Csathy's "synthetic" co-hosts discuss his most recent article that asks the provocative question, "Is 100% ethically sourced generative AI even possible?" Csathy's article lays out both sides of the argument - those who say it is possible (and must be done via content licensing), and those who simply believe it's too daunting and too hard (whom Csathy calls "Fair Use Accelerationists"). Csathy spoke with several leading experts to give their perspectives.

It's an episode that covers all the related issues - and is entertaining at the same time. Csathy generated it using Google NotebookLM - and he approves the content.

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This discussion focuses on host Peter Csathy's latest feature article of the same name, which explores whether AI can ever create truly "original" and groundbreaking Art without humans controlling it as a tool to their own human creation. The discussion focuses on what uniquely makes human "creation" divine and unmatchable by AI content generation. Csathy argues that left to its own devices, AI generated works will always lead to the mediocre and mundane. The discussion also focuses on AI as a tool to expand creative possibilities - but not to overtake humans at the forefront of the creative process.

Csathy generated this discussion using Google NotebookLM, which synthesized his article in line with his parameters. And Csathy approves its content and believes the overall discussion is both entertaining and enlightening. 

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Host Peter Csathy recently was a featured speaker at ThinkLA’s big AI-focused event (ThinkLA serves marketing and media executives). Peter invited CEO Eric Shamlin of production company Secret Level to join him. Shamlin and his team created the iconic AI-generated “Holidays Are Coming” Coke ad that became THE marketing story this past December. 

In this exclusive “fireside chat,” Peter and Eric discuss the story behind it all — i.e., how Shamlin and his team conceptualized and executed it — and how consumers and the creative community reacted to it. Suffice it to say that while consumers reacted overwhelmingly positively (the ad was a smash hit), not everyone in the creative community felt the same. According to AdWeek, the ad “went from praise to rage … signaling a wider industry dilemma.” It’s a fascinating discussion that was extremely well-received, enlightening, and entertaining. 

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In this episode, based on Peter Csathy's article of the same name, Peter's "synth" hosts discuss the central issue of remedies and damages for winning rights-holders in generative AI copyright cases -- and, relatedly, how the courts will even begin to assess monetary damages in a world where the relevant “harm” caused by an entire internet’s worth of unlicensed scraping has already been done (and can’t be undone unless existing LLMs are scrapped and AI training starts anew with licensed content only). Theoretical damage awards under copyright and related laws are downright astronomical. 

The discussion flows from the court's recent rejection of “fair use” in the now notorious Thomson Reuters v. Ross Intelligence case — where it ruled that the scraping of copyrighted works without consent and compensation is infringement (not a defensible “fair use”) as a matter of law.

Peter generated this episode, based on his article, using Google NotebookLM (and he approves its content).

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This episode is a discussion of host Peter Csathy's new article titled, "Court Rejects AI's Fair Use: Now What?" (generated using Google NotebookLM). Csathy's article discusses all the issues raised by (and ramifications of) Judge Stephen Bibas's recent game-changing rejection of "fair use" as a defense to unlicensed AI scraping in the Thomson Reuters v. Ross Intelligence case: (1) now what will generative AI companies do (how will they act)?, (2) how would courts even begin to assess damages in this "horse is already out of the barn" scenario where the entire internet has already been scraped, (3) how would the Supreme Court rule when that AI training "fair use" issue inevitably reaches them?, and (4) would Congress itself create a new "fair use" exception to permit unlimited unlicensed AI training on copyrighted works (especially in the face of the new co-sheriffs in town, President Trump and Elon Musk)?

Csathy approves the contents of this episode, and believes it is an accurate reflection of the issues (and his overall analysis). BUT there is one part of the discussion near the end of the episode that focuses on training on "synthetic data" - and Csathy strongly disagrees on that point.

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In this special episode, based on host Peter Csathy's most recent emergency newsletter about the recent bombshell Thomson Reuters court ruling, Csathy's synthetic co-hosts discuss the court's rejection of "fair use" as a defense to AI training on copyrighted works without consent and compensation. It's the first "fair use" decision in the world of copyright litigation filed by creators and media/entertainment against generative AI developers. 

This episode was generated using Google NotebookLM (and Peter approved its content, believes it accurately summarizes his article, and is helpful and insightful).

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Check out Peter and his firm Creative Media
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And send feedback to [email protected].