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A theory of AI product convergence as models get smarter
One user argues that building AI software now centers more on setting direction than creating new capabilities.
TLDR
A user argues that as underlying AI models get smarter, founders need to build less intelligence into their products. They say development today is more about guardrails and direction than creating capabilities, and suggest that similar guardrails may help explain why general-purpose AI products converge with slight differences.
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