
#8 – Sara Hooker: Big AI, The Compute Frenzy, and Grumpy Models
Scaling Theory
Navigating Data Openness and Copyright Challenges in AI
This chapter explores the challenges of data accessibility for AI model training, emphasizing the tension between data openness and copyright laws. It critiques the limitations imposed by content providers and the outdated tools for managing data consent, advocating for improved methods for expressing data usage preferences.
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