Some scholars of AI warn that the present technologies may never add up to "true" intelligence or "human" intelligence. But much of the world may not care about that. The British mathematician Alan Turing wrote in 1950, "I propose to consider the question, 'Can machines think?'" His inquiry framed the discussion for decades of artificial intelligence research. For a couple of generations of scientists contemplating AI, the question of whether "true" or "human" intelligence could be achieved was always an important part of the work. AI may now be at a turning point where such questions matter less and less to most people. The emergence of something called industrial AI in recent years may signal an end to such lofty preoccupations. AI has more capability today than at any time in the 66 years since the term AI was first coined by computer scientist John McCarthy. As a result, the industrialization of AI is shifting the focus from intelligence to achievement. Those achievements are remarkable. They include a system that can predict protein folding, AlphaFold, from Google's DeepMind unit, and the text generation program GPT-3 from startup OpenAI. Both of those programs hold tremendous industrial promise irrespective of whether anyone calls them intelligent. Among other things, AlphaFold holds the promise of designing novel forms of proteins, a prospect that has electrified the biology community. GPT-3 is rapidly finding its place as a system that can automate business tasks, such as responding to employee or customer queries in writing without human intervention. That practical success, driven by a prolific semiconductor field, led by chipmaker Nvidia, seems like it might outstrip the old preoccupation with intelligence. In no corner of industrial AI does anyone seem to care whether such programs are going to achieve intelligence. It is as if, in the face of practical achievements that demonstrate obvious worth, the old question, "But is it intelligent?" ceases to matter. As computer scientist Hector Levesque has written, when it comes to the science of AI versus technology, "Unfortunately, it is the technology of AI that gets all the attention." To be sure, the question of genuine intelligence does still matter to a handful of thinkers. In the past month, ZDNET has interviewed two prominent scholars who are very much concerned with that question. Yann LeCun, chief AI scientist at Facebook owner Meta Properties, spoke at length with ZDNET about a paper he put out this summer as a kind of think piece on where AI needs to go. LeCun expressed concern that the dominant work of deep learning today if it simply pursues its present course, will not achieve what he refers to as "true" intelligence, which includes things such as the ability of a computer system to plan a course of action using common sense. To learn more please visit OUR Forum.