In a Slate piece, Lee Gomes wonders whether the Google driverless car will ever be a reality, one impediment being the need for real-time maps able to read constantly shifting infrastructure on a national level. His comparison of the search-giant’s autonomous-vehicle plans to the Apple Newton seems a self-defeating argument, however, since all the elements of that ill-fated invention were realized soon thereafter in other tools. The opening:

“A good technology demonstration so wows you with what the product can do that you might forget to ask about what it can’t. Case in point: Google’s self-driving car. There is a surprisingly long list of the things the car can’t do, like avoid potholes or operate in heavy rain or snow. Yet a consensus has emerged among many technologists, policymakers, and journalists that Google has essentially solved—or is on the verge of solving—all of the major issues involved with robotic driving. The Economist believes that ‘the technology seems likely to be ready before all the questions of regulation and liability have been sorted out.’ The New York Times declared that ‘autonomous vehicles like the one Google is building will be able to pack roads more efficiently’—up to eight times so. Google co-founder Sergey Brin forecast in 2012 that self-driving cars would be ready in five years, and in May, said he still hoped that his original prediction would come true.

But what Google is working on may instead result in the automotive equivalent of the Apple Newton, what one Web commenter called a ‘timid, skittish robot car whose inferior level of intelligence becomes a daily annoyance.’ To be able to handle the everyday stresses and strains of the real driving world, the Google car will require a computer with a level of intelligence that machines won’t have for many years, if ever.”