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The learning myth aims to promote the equivalence between computer systems and human thought and establish these activities on equal footing within the eyes of the law, policy, and consumers. It supports a fantastic representation of the AI system as having human-like capabilities and social value, essential to selling it to people to do human-like things. But AI products do not *learn* from our data — they cannot exist without it.
Challenging the Myths of Generative AI
Eryk Salvaggio
I don’t believe it is time for reflexive pessimism. Doomerism isn’t the answer. We don’t need a new round of “Satanic panic - TikTok edition.”
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This may be a cold-blooded way of looking at sharing—that we increasingly learn about the world through strangers’ random choices about what to share—but even that has some human benefit. As Kurt Vonnegut’s protagonist says at the close of The Sirens of Titan, “The worst thing that could possibly happen to anybody would be to not be used for anything by anybody.” The ways in which we are combining our cognitive surplus make that fate less likely by the day.
Cognitive Surplus
Clay Shirky
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