In big data, we know that it is important to have enough data to analyze, but where can one get more data? How does one get useful information? My novel idea of "infoculture" uses new BIONICS to resolve the problem of how to produce information for the artificial intelligence (AI) industry. Data can be cultivated by humans, just like how humans cultivate fish or shrimp. In the field of infoculture, the network is like an ocean, and the information machine is the fish and shrimp. However, key

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... blems within this field are DATA DNA engineering, information disease engineering, infoculture engineering, and the ecology of information. The Google self-driving car is an example of a cultivated fish in infoculture theory.