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the more intelligent the underlying model becomes, the less intelligence a founder needs to build into a product in some sense. if you imagine some end stage of ai, it’s simply just intelligence without any fluff around it. today building ai software is much more about adding guardrails & specifying direction more than creating capabilities. this may be why there is a fuck ton of convergence with slight deviations everywhere because the guardrails are sort of universal at least for general purpose stuff. i’m not saying this is a bad thing btw but it’s certainly relevant.