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"If your roadmap is rooted in prediction as the essence, the law of the hammer dictates that it’s a prediction problem. And when cast in prescriptive terms to a
by brooklyn_ashey 9y ago
"If your roadmap is rooted in prediction as the essence, the law of the hammer dictates that it’s a prediction problem. And when cast in prescriptive terms to an adoring industry, the question is no longer questioned. It becomes truth.
Prediction is the essence of intelligence. And it will remain so until a more dominant technology teaches us otherwise."
This was an excellent morning read. Thank you. I especially liked the quote above. What is interesting/ironic is that while we have these incredibly sophisticated machines (human brains) at our constant disposal, we just can't seem to get as excited about innovative learning models for them. We are more intrigued by the shiny, so we put nearly all our resources there, even though overdue revelation there could drive better AI research, or at least create better researchers! Even though we already have the kind of data in Actual Human Intelligence we seek in AI to advance AI further, we ignore this data and turn toward a new machine instead. (hey, I'm fascinated by it too, no disrespect meant-- just observation) So we stick to our old ways, even as those models (for example, our public education systems) show themselves to be costly, resistant to scale, and largely ineffective and underperforming. The other aspect that AI could give us if looked at from a slightly different angle, is the surprising interconnection of idea- I mean ideas that reach through and across domain or subject to reveal stronger, more influential types of knowledge-- a more "poetic" type of understanding that could give rise to novel understanding. It is almost as if we have plateaued, like a young student learning tennis or something, but are addicted to the rapid early states of visible progress, so we change sports so we can get that "high' again. It is as if we are not psychologically ready to pass that plateau and move into a more connection-robust model of education. So, we are now enthralled with machines, because they are (we wrongly surmise) controllable children for now. Thanks for posting this!