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In classical economic theory, one pre-condition for efficient market allocation of resources is accurate information providing a basis for rational levels of in
by mr_overalls 7y ago
In classical economic theory, one pre-condition for efficient market allocation of resources is accurate information providing a basis for rational levels of investment.
If AI is subject to crazes, with investors as a whole drastically overestimating its potential, then it's certainly possible to over-allocate capital (human and otherwise) to it in the hopes of a payoff.
Consider the Dutch tulip mania of the 1630s. Imagine if it had lasted a bit longer, long enough for promising scientists and scholars of every type to be trained solely to optimize the growth of tulips.
This allocation of capital would provide a benefit to tulip investors for as long as the craze lasted, but would prove to be a detriment to society once the craze ended.
https://en.wikipedia.org/wiki/Tulip_mania https://en.wikipedia.org/wiki/Tulip_mania
- sansnomme 7y agoTo be fair, the connectionist variety of ML is extremely compatible with the majority of the hard sciences (Linear Alg, Calculus, not really much CS/discrete math if you think about it). A physics/rigorous CogSci background prepares you just as well as CS for most of the interesting AI stuff. The fact that AI and CS in general has such a low barrier of entry is something to be celebrated. Be glad that our domain do not suffer from the gatekeeping in Medicine and Law.