Meta is considering new paid deals with news publishers for AI training data (2024)

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Meta is considering new paid deals with news publishers for AI training data (1)

  • Meta is weighing striking deals with news publishers for access to AI training data, sources say.
  • Internal discussions are at an early stage and would involve partnerships, product, and legal teams.
  • Rivals like Google and OpenAI have already made deals with many news publishers for training data.

Meta is considering new paid deals with news publishers for AI training data (2)

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Meta is considering new paid deals with news publishers for AI training data (4)

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As Meta goes all-in on generative AI work, the company is considering whether it needs to pay for access to better quality and more immediate training data to improve its tools — and it's looking at the news industry.

Teams within Meta, formerly known as Facebook, are discussing internally whether the company should strike new paid deals with news publishers to provide more and deeper access to news, photo, and video content, according to two people familiar with the considerations. These people, whose identities are known to Business Insider, asked to remain anonymous so they could speak freely without fear or reprisal.

The teams discussing this access to news content include leaders on the partnerships, product, and legal teams. Meta may need such access to make its generative AI tools, like Meta AI, more effective for users and more competitive in the increasingly crowded market of generative AI search tools and chatbots, the people said.

"Meta may have no choice but to pay someone," one of the people familiar said.

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Meta has not formally approached any news outlet about licensing or otherwise accessing content, one of the people familiar said. Internal talks are still at an early stage. Yet, if the company decides to do so, any resulting deals for access to data for model training would be separate from past agreements in which Meta paid publishers to host links to their content on its sites. Over the last 18 months, Meta has made a sharp turn away from its previous dealings with the news industry, as BI reported, effectively eliminating a $2 billion budget for its News division just last year.

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A Meta spokesperson declined to comment.

Meta CEO Mark Zuckerberg claimed earlier this year that his company has its own data for training its Llama large language model that is larger than Common Crawl, a massive set of scraped web data used widely (including by Meta) for AI model training.

Still, there is concern internally about the quality of that owned data, one of the people familiar said. User posts and comments on Facebook or Instagram are not necessarily the type of high-quality training data that generative AI chatbots and search tools need to generate quality outputs. Books, news articles, and essays are.

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Meta could find itself on the back foot again, with outputs that fall behind rivals like Google and OpenAI, if it chooses or is forced to rely more on its own data. Previously, Zuckerberg said he did not expect the generative AI boom.

Not long after generative AI burst onto broader public consciousness almost two years ago with the launch of the ChatGPT chatbot, news outlets and other websites started blocking automated bots deployed by Common Crawl and OpenAI to scrape their content for free constantly. The US Copyright Office is considering new rules to cover generative AI. Without free and constant access to news publisher content, responses from Meta AI to user prompts about current events may become more limited, outdated, or incorrect.

Major rival tech companies now fiercely competing in generative AI have already entered into deals with news publishers and media outlets for more access to content to be used as model training data. News Corp. signed a deal with Google. The Financial Times signed on with OpenAI, as did The Associated Press, Dotdash Meredith, and Axel Springer, the parent company of BI, Politico, and several publications in Europe. OpenAI's largest investor is Microsoft, which has its own partnership with Axel Springer.

Still, many publications have yet to sign with any AI company, including The New York Times, which sued OpenAI after failing to agree to terms on a licensing deal. The Times also had Common Crawl remove data it scraped from the publication. Most news publishers are open to licensing deals, if only because "something is better than nothing," said one of the people familiar with Meta's considerations.

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Are you a Meta employee or someone with a tip or insight to share? Contact Kali Hays at khays@businessinsider.com or on secure messaging appSignal at 949-280-0267. Reach out using a non-work device.

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Watch: Accenture CMO Jill Kramer talks about how generative AI will enhance, not diminish, the power of marketing: video

Meta is considering new paid deals with news publishers for AI training data (5)

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Meta is considering new paid deals with news publishers for AI training data (2024)

FAQs

Meta is considering new paid deals with news publishers for AI training data? ›

Meta is weighing striking deals with news publishers for access to AI training data, sources say. Internal discussions are at an early stage and would involve partnerships, product, and legal teams. Rivals like Google and OpenAI have already made deals with many news publishers for training data.

Is Meta using AI? ›

Meta Platforms Inc. has long been using artificial intelligence to help it serve users content and ads it thinks are most likely to interest them, but its new chatbot has thrust the company's use of the technology back into the spotlight.

How many people work at Meta AI? ›

In fact, since 2018, Meta has experienced an 89.2% surge in its employee count, rising from 35,587 to the present number. As of December 31, 2023, Meta employs a total of 67,317 individuals.

What is meta in AI? ›

META AI, or Meta Artificial Intelligence, refers to a cutting-edge approach in AI development that focuses on self-learning systems capable of not only understanding data but also reasoning, learning, and adapting autonomously.

How do I opt out of Meta AI training? ›

Meta does not have an opt-out feature for people living in these places. A spokesperson for Meta says it does not use the content of people's private messages to each other to train AI. However, public social media posts are seen as fair game and can be hoovered up into AI training data sets by anyone.

Which is better, ChatGPT or Meta AI? ›

Across the board, ChatGPT is a more powerful chatbot than Meta AI. This isn't to say that Meta AI is bad—I'll discuss its strengths in a bit—but it lacks a few big features and makes more mistakes with difficult questions. ChatGPT is multimodal when you use GPT-4o.

How to block Meta AI? ›

While trying to be helpful, Meta AI gave us inaccurate information, suggesting that a user can disable it. In reality, you can't.

Does Meta AI cost money? ›

You can currently access Meta AI for free on the web at Meta.ai, on Instagram, Facebook, WhatsApp and probably a few other places if those aren't enough.

Is AI involved in metaverse? ›

AI plays an important role in building Metaverse worlds through being used in each of the technologies used to build Metaverse worlds and provide immersive experiences to users. Machine learning strategies can be divided into supervised learning, unsupervised learning, and reinforcement learning (Hu et al.

Is Facebook using artificial intelligence? ›

We've used AI systems to help protect our users for a number of years. For example, we use AI to help us detect and address hate speech and other content that violates our policies. This is a big part of the reason why we've been able to cut the prevalence of hate speech on Facebook to just 0.01-0.02% (as of Q3 2023).

Is Meta building an AI supercomputer? ›

Meta (previously known as Facebook) is attempting to build the world's fastest AI supercomputer. The AI Research SuperCluster (RSC) will feature 16,000 Nvidia A100 GPUs and is set for completion in the middle of 2022.

How is AI used in meta analysis? ›

AI's foray into meta-analysis heralds a paradigm shift in efficiency and precision. Algorithms, endowed with the ability to parse through a multitude of studies swiftly, can generate meta-analyses at an unprecedented pace, exponentially accelerating the dissemination of crucial medical insights.

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