After ChatGPT debuted in late 2022, Apple struck an agreement with stock image provider Shutterstock to use hundreds of millions of images, videos, and music files in its library for training, Reuters reports citing “a person familiar with the arrangements.”
Katie Paul and Anna Tong for Reuters:
Reuters spoke to more than 30 people with knowledge of AI data deals, including current and former executives at companies involved, lawyers and consultants, to provide the first in-depth exploration of this fledgling market – detailing the types of content being bought, the prices materializing, plus emerging concerns about the risk of personal data making its way into AI models without people’s knowledge or explicit consent.
The data land grab comes as makers of big generative AI “foundation” models face increasing pressure to account for the massive amounts of content they feed into their systems, a process known as “training” that requires intensive computing power and often takes months to complete.
AI model makers have started hedging risks and securing data-supply chains, both through deals with content owners and via a burgeoning industry of data brokers that has popped up to satisfy demand.
In the months after ChatGPT debuted in late 2022, for instance, companies including Meta, Google, Amazon and Apple all struck agreements with stock image provider Shutterstock to use hundreds of millions of images, videos and music files in its library for training, according to a person familiar with the arrangements.
The deals with Big Tech firms initially ranged from $25 million to $50 million each, though most were later expanded, Shutterstock’s Chief Financial Officer Jarrod Yahes told Reuters… Yahes declined to comment on individual contracts. The Apple agreement, and the size of the other deals, haven’t previously been made public.
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MacDailyNews Take: Deals for training data are one piece of the puzzle that Apple is years behind assembling.
Generative AI chatbots require large, dedicated data centers which will take Apple time (years) to build out, if they are planning on owning this technology instead of just farming it out. – MacDailyNews, March 26, 2024
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