UNLOCKING A MILLION TIMES MORE DATA FOR AI

Summary from the TLDR AI newsletter

Every major leap forward in AI progress involved a large increase in data to support it. While AI leaders have warned that we have reached 'peak data', there is still a lot of unused data available. Most AI systems are trained on a few hundred terabytes of data - the world has digitized an estimated up to 200 zettabytes of data. The data exists, but it isn't being used for training, which is an access problem rather than a scarcity problem. The Attribution-Based Control is a potential framework for expanding access to the world's digital data while preserving ownership rights. It offers an approach to addressing the technical, legal, and economic barriers that prevent access to most of the world's data by enabling data owners to maintain control while contributing to AI development.