Christian Catalini argues that open-weights AI models won't reduce total innovation investment—only redirect it. Drawing on historical precedent (Great Exhibition, Human Genome Project, AT&T's transistor licensing), he shows diffusion strengthens complementary assets and follow-on work more than IP protection drives initial R&D; the real battle is over who captures value and where capabilities get built.
Topics: AI (Horizontal)
Published by A16Z · their site ↗
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