Human Data is Key to AI: Alex Wang from Scale AI
a16z Podcast
Innovation Demands New Data Sources
The current landscape of computational models shows that while sufficient compute power is available, the real challenge lies in innovating algorithms and sourcing new data. With most easily accessible data exhausted, researchers face a 'data wall' that limits further advancements. The next phase will focus on generating new data and enhancing data complexity, moving towards frontier data that can drive the development of more sophisticated models. Addressing this lack of data is crucial, particularly in areas like agent development, where gaps hinder progress.
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