AI & Computing · 2017-11
Software 2.0Download sources
Andrej Karpathy
Karpathy describes neural-network weights as a different way to express software behavior. Instead of specifying every rule directly, developers shape datasets, objectives, and the process that learns the rules.
This framing makes data work feel like programming work. It also brings a new debugging question: when behavior is wrong, should you change the code, the examples, or the objective?
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