3 ms·

Please someone correct me if I'm wrong; but that is not what "we" mean with A.I. Neural net is actually one. It is the ability "to learn themselves through sel

Please someone correct me if I'm wrong; but that is not what "we" mean with A.I. Neural net is actually one. It is the ability "to learn themselves through self-feedback". I don't think we have it covered down, as in we don't fully understand the outcome. It gives great results, like pretty generated pictures. And we do know the process, but the outcome is still unpredictable.

jon_richards 8y ago
>"to learn themselves through self-feedback" But now you're describing machine learning, which many people would describe as "applied statistics, not AI". >And we do know the process, but the outcome is still unpredictable. Unpredictable because you don't understand the statistics or unpredictable because of the size of the computation being done? Neither of those indicate "AI". Or maybe unpredictable because a relatively simple algorithm unexpectedly gives rise to good results? Then we're back to the roomba that just randomly moves until it bumps into something being AI. There's no good definition for AI. It's like superfood. You can argue that it means high in antioxidants or high in fiber or probiotic, but at the end of the day, it's the marketing departments that determine the definition.