There’s a peculiar expectation that the statements made by people ought to be consistent both in the moment and throughout all time. After all, how can you be for Y when you previously said Z? In this post, I’ll use networks to explain why consistency in belief is extraordinarily unlikely. Suppose a set of strings that represent a belief. For example: “People, when free, are generally good.” “Some people seek power over other people.” “A productive conflict is an exchange of beliefs.” Let’s set the internal consistency of each string aside. The string contains symbolic representation that is unto itself contestable. “This string is false.” Stare too hard at that sentence, with too much energy, and a black hole will[…]

Suppose the following scenario: Series A or B; A data science firm (narrow machine intelligence, applied machine intelligence, general machine intelligence, predictive or prescriptive analytics, software or hardware); Technical CEO / Co-Founder; Chief Marketing Officer (CMO) just hired; What might the CEO-CMO relationship look like? The relationship could be great. If there’s one stereotype about data science CEO’s, it’s that they like incentives to be aligned. The CMO would likely be brought on to focus on growth. If revenue grows, valuation grows, and collective comp would grow. There might be points of friction. From the CMO’s Perspective: Why is the CEO constantly at me about metrics all the time? Why is the CEO always on about non-working dollars? (Why don’t[…]