 Harnad (1989, 1991) claims that a better test than The Turing Test will be one that requires responses to all of our inputs, and not merely to text-formatted linguistic inputs. That is, according to Harnad, the appropriate goal for research in AI has to be to construct a robot with something like human sensorimotor capabilities. Harnad also considers the suggestion that it might be an appropriate goal for AI to aim for “neuromolecular indistinguishability,” but rejects this suggestion on the grounds that once we know how to make a robot that can pass his Total Turing Test, there will be no problems about mind-modeling that remain unsolved. It is an interesting question whether the test that Harnad proposes sets a more appropriate goal for AI research. In particular, it seems worth noting that it is not clear that there could be a system that was able to pass The Turing Test and yet that was not able to pass The Total Turing Test. Since Harnad himself seems to think that it is quite likely that “full robotic capacities [are] … necessary to generate … successful linguistic performance,” it is unclear why there is reason to replace The Turing Test with his extended test. (This point against Harnad can be found in Hauser (1993:227), and elsewhere.)