A Camera, Not an Engine

Where we once sought to give our algorithms a kind of encyclopedic awareness—all categories and things—we now aim for something richer. A more intimate understanding of the spaces and moments and even meaning in which those things are embedded. An expansion of not just quantity, but detail and nuance. New approaches to data that go beyond simple cu

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We don’t think it’s really about art or making deepfakes, but—how do we expand the imaginative powers of the human species? And what does that mean? What does it mean when computers are better at visual imagination than 99 percent of humans? That doesn’t mean we will stop imagining. Cars are faster than humans, but that doesn’t mean we stopped walk

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We’re far from replacing humans for many tasks now being delegated to large language models. That doesn’t mean LLMs can’t be helpful; it just means they’re being used wrong. The key is applying them to tasks they’re well-suited to, such as analyzing, synthesizing, and manipulating data, and not for making important decisions on behalf of people.

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