SOFTWARE 2.0 NEEDS DATA 2.0
summary
Founder of activo (a Y Combinator startup) draws on a Princeton PhD and work with petabyte-scale neuroscience data to argue for Data 2.0: a concrete structuring layer and tooling to turn raw neuroscience recordings into datasets that deep learning and classical ML can actually consume. Claims include reproducible pipelines for data cleaning, coherent schema design, and measurable speedups in model training on very large datasets.
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