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Sara Fischer: AI’s search quake shakes media landscape

AI in Media
Thought Leader: Sara Fischer
July 30, 2024
Source: AXIOS
Written by: S

This piece is by WWSG exclusive thought leader, Sara Fischer.

New AI search products from OpenAI and other industry leaders are forcing news companies to rethink possible deals with AI firms that need news content to answer real-time queries about current events.

The big picture: Negotiations between the tech and news industries over AI have mostly focused on providing data for the broad training of large language models (LLMs) — but now, deal talks are shifting to address narrower use cases, where news publishers may have more leverage.

How it works: LLMs can be trained on vast troves of almost any kind of text — and firms have taken that from everything they can find on the internet. But to accurately answer queries about current events, LLMs need access to smaller pools of vetted information in real time.

Driving the news: The rollout of OpenAI’s SearchGPT and Microsoft’s Bing generative search product last week revealed new details about how partnerships between Big Tech firms and news publishers are evolving as LLM makers integrate more RAG-based approaches into their products.

Yes, but: It’s unclear whether new generative AI-powered search engines will provide publishers with as much revenue as traditional search, chiefly Google’s, did.

The big picture: AI firms have argued it’s legal for them to train their models on anything that’s “publicly available” online, but many publishers believe their content is protected under copyright law.

What to watch: While OpenAI seems eager to strike deals with newsrooms, other AI companies are hesitant.

Anthropic wouldn’t confirm whether it has any publisher deals or intends to make them in the future.

Meta is currently debating how to proceed.

Perplexity announced revenue-sharing deals Tuesday with Time, Der Spiegel, Fortune, Entrepreneur, The Texas Tribune and WordPress.com as part of a pilot program.

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