> "Everyone loves collecting data, but nobody loves analyzing it later." Analysing oceans of telemetry is not just hard, it's exponential-volume * permutating-

> "Everyone loves collecting data, but nobody loves analyzing it later." Analysing oceans of telemetry is not just hard, it's exponential-volume * permutating-international-linguistic-complexity hard. The business model is therefore not to anything truly useful with useful data, the business model is fake it hard by hoarding the data to make money. If enough people believe that MAANG have real capability beyond non-semantic content correlation at scale, the money will (and does) accrue. Say "A.I." breathlessly. > chances are good that your pet ML application is an expensive replacement for a dumb heuristic The probability approaches 1. If the mere fact of holding data were put to a rigorous test, we would discover what everybody knows. [0] > See, the problem is there's almost no way to know if you're right. The dystopian truth is that it doesn't matter if the advertising empire is right or good or helpful. And the result is the grotesque coupling of what would otherwise be unequivocally brilliant technological advances: powerful mobile communication at scale and shared, connected, cultivated information. - - - [0] _ https://genius.com/Leonard-cohen-everybody-knows-lyrics https://genius.com/Leonard-cohen-everybody-knows-lyrics _ "Everybody knows the scene is dead, but there's going to be a meter on your bed that will expose... what everybody knows." -- L. Cohen, S. Robinson