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Like Deep Blue, Watson represented a major advance in the state of weak AI. However at its core, it's still just a text-based statistical search engine. It has
by slacka 13y ago
Like Deep Blue, Watson represented a major advance in the state of weak AI. However at its core, it's still just a text-based statistical search engine. It has no ability to "learn" new abilities. Its algorithms will use previous answers to adjust ranking of answers, but once a category is finished, that data is lost. For new data, its database needs to be re-indexed. For new behavior like recognizing pictures or playing a game, it needs to be programmed.
Watson played a simplified version of Jeopardy with no video or audio questions. This was a key compromise to allow a text based system to compete with humans. The AI problem of recognizing pictures is practically unsolved. It took Google's best researchers, a massive database of cat pictures, and a supercomputer just to train a computer to recognize when a cat was in a photo. So your sense of Watson's present abilities is a little skewed and unrealistic.
- willvarfar 13y agoYes its interesting; you can easily imagine that the following trends are detected: * "home and safe" "safe as houses" etc * "safe in bed" "safely tucked up in bed" etc * "volcano" ... no clear data. Certainly dangerous being a volcanologist, but that'd be great AI googlefu * "pensioner attacked in park" .. "our parks are not safe" etc... Hmm, Parks are the most dangerous. Because frequency of local newspaper reports is a bad measure for volcanos I guess.
- deleted 13y ago[deleted]