| The failure is the failure to generate novelty or adequately explore alternatives. Enough people might reliable go see 25 sequels, but none of those films will be memorable. None will advance the art of film-making. None will change anyone's life or mentality or affect the culture in any meaningful way. Being data driven means chasing the biggest, loudest signal in your data set. It means pandering to that signal, because it swamps all others. A data-driven approach is not going to lead you anywhere new. In machine learning / AI we refer to such algorithms as "greedy." A classic example would be simple hill climbing a.k.a. gradient descent. These algorithms are known to be very good at optimizing within the bounds of a simple well-behaved and regular fitness landscape, but they readily become stuck at local maxima when presented with any solution space with any complex structure. We're living in what I'm tempted to call the dark age of the local maximum, the age of gradient descent. |
This reminds me of how one time, a professor of mine was discussing a pie-chart. He pointed towards the smallest sliver and said "Know what that is? That's opportunity!" He was most interested in the smallest signal because it represented untapped potential. (IIRC the topic was related to replacing oil with renewable energy.)