 And there are radically different views about the most likely paths to building general intelligence (assuming that there is such a thing as general intelligence). For example, Crosby (2020) suggests that the best way forwards may be to try to make machines that can pass animal cognition tests, i.e. that can create predictive models of their environment from sensory input. (There are clear precusors to this line of thought in, for example, Brooks (1990).)