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Publishers want billions, not millions, from AI

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Summary

In this article, publishers like The New York Times, News Corp, and Axel Springer are looking to form a coalition to sue AI companies and press for legislative action, believing that AI companies have been training models on their data without paying for it. This coalition is being led by IAC CEO Barry Diller and IAC CEO Joey Levin. Publishers are worried about their revenue as well as the nature of online authority, as they worry about Google shifting its traffic away from web pages to chatbots. Publishers are looking to be paid in the billions for the data used to train AI models, although tech executives have argued that they have not yet figured out a business model for AI and there are no profits to share. Some publishers are striking their own deals with platforms, while Google has developed a tool to help journalists write articles and OpenAI recently struck a deal with the Associated Press.

Q&As

What is the purpose of the coalition formed by IAC and key publishers?
The purpose of the coalition formed by IAC and key publishers is to lead a lawsuit and press for legislative action.

What is the nightmare scenario that IAC CEO Joey Levin is worried about?
The nightmare scenario that IAC CEO Joey Levin is worried about is a shift at Google from sending traffic to web pages to simply answering users’ questions with a chatbot, which would turn a Food & Wine review into a simple text recommendation of a bottle of Malbec without attribution.

What are the expectations of the publishers regarding AI companies paying for training data?
The expectations of the publishers regarding AI companies paying for training data is that the payments should be in the billions of dollars across the industry.

What is the objection of the tech companies to the publishers' demands?
The objection of the tech companies to the publishers' demands is that they haven't even figured out a business model for AI yet, and there are no profits to share in the crushingly expensive business of maintaining language models.

What has Google developed to help journalists write articles?
Google has developed a tool called Genesis that it says will help journalists write articles.

AI Comments

👍 This article is a great exploration of the complexities of AI and how the media industry is attempting to address the implications of AI on their industry.

👎 This article fails to provide any concrete solutions on how publishers and tech companies can resolve the dispute over AI training data.

AI Discussion

Me: It's about how publishers want billions, not millions, from AI. Barry Diller has proposed a coalition that could lead a lawsuit and press for legislative action against AI companies who have trained models on publishers' data. There's also talk about how tech companies are hoping to placate publishers with eight figures worth of payouts, and the publishers want more.

Friend: Wow, that's a lot of money. It seems like publishers are trying to assert more control over how their data is used by AI companies.

Me: Exactly. It's a really complicated issue because it affects the nature of online authority, revenue, and how AI is used. There are still a lot of unanswered questions about how copyright law applies to both the inputs and outputs of AI models. It will be interesting to see how this plays out.

Action items

Research copyright law and how it applies to AI training and outputs.
Reach out to other publishers to form a coalition to press for legislative action.
Explore potential business models for AI and ways to give web publishers choice and control of their content.

Technical terms

AI (Artificial Intelligence): AI is a type of computer technology that is designed to simulate human intelligence and behavior. It is used to create computer programs that can solve problems, make decisions, and learn from experience.
Platforms: A platform is a type of software or hardware that provides a service or environment for other software or hardware to run on. Examples of platforms include operating systems, web browsers, and mobile devices.
Coalition: A coalition is a group of people or organizations that come together to work towards a common goal.
Chatbot: A chatbot is a computer program that is designed to simulate conversation with human users.
Language Models: Language models are algorithms that are used to generate natural language text. They are trained on large datasets of text and can be used to generate new text that is similar to the training data.
Generative AI: Generative AI is a type of artificial intelligence that is used to generate new data from existing data. It is used to create new images, text, and other types of data.