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by slopinthebag
58 days ago
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Mmm, thats a lot of assumptions that all have to hold true to make the math work, like, you're starting to venture into hiring 9 women to make a baby in a month territory here. But it also makes some more fundamental assumptions that I'm trying to challenge a bit. It assumes delivering 32 "deliverables" per day (the meaning of which is context specific) is better than 10. Is that always true? Is that delta the most relevant factor in the success of a business compared to its competitors? Etc. |
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A lot of the above assumptions are just to keep things fair since in the real world there are a lot of variables that can't be ignored. For example, keeping AI competence equal between the two companies.
I'm just trying to show that under my assumptions (~2027-28 AI, highly competent) it is quite conceivable that a 4-person visionary company can start a beat a much larger traditional one on quantity, not that it will definitely happen. I guess it's even rougher than the "rough math" I said it is.
I guess the point I'm trying to make is this: startups have always been able to beat big companies in serial execution speeds, but beating them in straight-up parallel work quantity is very unusual, but I think there's a good chance it will happen. This is simply because decision-making scales really poorly in traditional companies by headcount and I think it'll get more and more important relative to implementation work. Hence the focus on quantity of "deliverables" (i really mean medium-size project designs, think equivalent to 5-day targets for a dev team which I assume to be AI's average task horizon before it needs human decision input)
At least, the small team will win for some time until we get straight-up superintelligence that replaces the decision-makers as well. At which point the calculus suddenly flips and the richest company wins by default.