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The article argues that AI infrastructure founders mistakenly compete on execution, which is becoming commoditized. The real differentiation lies in defining the problem before the market, as those who name it control the evaluation framework. No concrete examples or data are provided.
This post argues that A/B testing is detrimental for new social media accounts. It claims that the instability of platform algorithms and the tendency to panic sell based on early results make A/B testing counterproductive. The piece advocates for consistent content creation over clever tactical testing. The argument is centered on the unpredictable nature of algorithms for small accounts.