In this episode, Peter features his exclusive interview with founder and CEO Will Kreth of HAND (Human and Digital), a company focused on developing the world's first standardized "talent ID" system for generative AI and more -- i.e., the first global B2B Talent ID registry platform for efficient discoverability, royalty collection, and revenue tracking of notable legal and natural persons and control of consent-based digital replicas for thousands of major Hollywood celebrities and the most notable Major League Baseball (MLB) and National Football League (NFL) players.

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In this episode, Peter Csathy interviews Josh Freeman, VP of Business Development of "must watch" company ProRata.ai, which sits at the center of the generative AI/content divide. The company has already raised $30 million at a valuation of $130 million. Its vision is to solve one of the most challenging and acrimonious issues at the center of generative AI — i.e., the use of content for training and sourcing purposes without consent, compensation and attribution. Its proprietary tech can do three critical things: (1) identify what it calls “proportionate attribution” to relevant content sources used for generative AI training purposes, based on each source’s relative contribution to the ultimate GenAI output/display; (2) enable reporting of that attribution/contribution; and (3) critically, enabling ongoing payments to the relevant rights-holders.

The company is going further — soon launching its own “Answer Engine” (that it plans to license to others) to compete directly with Perplexity, ChatGPT and others in AI search. But unlike the others, ProRata.ai says it does it all “ethically” — training its AI models on — and then outputting/displaying — only licensed media content. As an example, the company just announced a slate of major UK media licensing deals with the likes of the Guardian and Sky News. And here’s the fascinating part. The company’s business model is predicated on sharing 50/50 with rights-holders on any revenues generated by the LLMs, which means that rights-holders receive an ongoing share in all future revenues generated by the LLMs (not just single up-front licensing payments of the kind that have been negotiated so far).

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In this episode, Peter Csathy's co-hosts discuss his new article titled, "Raw Deal: The OpenAI Court Got It Wrong - Raw Story Media's Lawsuit Was Wrongly Dismissed on 'Standing' Grounds". In his article, Csathy discusses the recent dismissal by a federal judge of Raw Story Media's lawsuit against OpenAI on "standing" grounds. Raw Story had alleged that OpenAI included Raw Story's content in its LLM training data set without consent — and stripped out its copyright management information (CMI) in violation of the DMCA (specific copyright provisions related to the digital era). The Court dismissed the case, because the Judge concluded that Raw Story Media had failed to allege any actionable “harm” or “injury.”

Csathy writes that OpenAI’s “big win” is a fleeting one that will be reversed if it gets to that point, because the Judge simply got it wrong as a matter of law. And he lays out in detail why that is the case.

Peter generated this episode using Google NotebookLM - and "approves" its content (and believes it is comprehensive, compelling and consistent with his words).

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