In AI, the Walls Aren’t Real: Rethinking Data & Safety

The article argues that AI is not running out of data but rather underutilizing it, as current models interpret data in a limited, singular way. It suggests expanding AI's approach to data by considering multiple dimensions and contexts to overcome challenges like data scarcity and model degradation.