Want to share more after getting some thoughtful comments from some sharp folks whom I look up to.
Going back to
@pmarca's โThe Only thing that mattersโ: the market youโre in, and reaching PMF in that market is indeed, the most important thing (even if other things matter too). So this piece is one of the few that stood test of time.
The issue: we still have zero formalism around what a good market is, let alone how to achieve PMF in a good market.
Reaching PMF is a macrostate description: we recognize the structure of PMF when we see it. The microstate, however, is basically intractable. There are tons of microstates that correspond to the macrostate that is PMF. Worse, the potential search space of microstates that we think *might* lead to PMF (but donโt) is vastly larger than the highly sought after microstates that do.
So the issue here is one of observable entropy, and the limits of information processing available to humans today. The entropy, or uncertainty, relating to what *could* work in terms of serving a market is so incredibly large that we lack the computational power to do any sort of useful simulation or measurement without just building an entire damn company. With the advent of ASI and breakthroughs in advanced simulation, we will likely be able to accelerate entrepreneurship success rates in a scientific fashion. Until then, itโs going to feel very mystical.
my hottest of hot takes is that we collectively know extremely little about what makes startups work, and that we're not even making much progress in terms of cumulative knowledge.
There do seem to be some outlier founders who have a better intuitive grasp than typical human. But they haven't been able to distill this intuition into anything codified.
So by extension, I think it's extremely unlikely an AI system will succeed at entrepreneurship anytime soon.