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The symbolic AI tribe failed to reach what that the ML one never attempted. All fundamental differences aside they are hardly competing at all (except for eyeba
by usrusr 8y ago
The symbolic AI tribe failed to reach what that the ML one never attempted. All fundamental differences aside they are hardly competing at all (except for eyeballs and grants). ML has made fantastic progress in recent years, but it could still be argued that the single most important discovery in ML has been the discovery of application domains with extremely little cost of being wrong.
- angry_octet 8y agoNo so much a discovery, but previous AI researchers defined what was important as what their tools were suited for. But a good counter example is speech. They tried very very hard for many years, with quite limited success. As it turned out, decomposition into semantics via different layers isn't so successful. http://oxygen.csail.mit.edu/Speech.html http://oxygen.csail.mit.edu/Speech.html [Circa 2001] As for AGI, there is no supporting basis for the contention that it can only be achieved using semantic approaches, or that ML isn't a productive path.