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 concrete ai task


AI Impacts – Concrete AI tasks for forecasting

#artificialintelligence

For context, the original Atari playing deep Q-network outperforms professional game testers on 47% of games1, but used hundreds of hours of play to train2. For context, Neural Turing Machines have not been able to do this2, but Neural Programmer-Interpreters3 have been able to do this by training on stack traces (which contain a lot of information about the form of the solution). Examples of factoid questions: "What is the poisonous substance in Oleander plants?" "How many species of lizard can be found in Great Britain?" Examples of open ended questions: "What does it mean if my lights dim when I turn on the microwave?" "When does home insurance cover roof replacement?" For example:"What causes the demographic transition?", "Is the thylacine extinct?", "How safe is seeing a chiropractor?"