For the researchers, though, all of the above examples aren't evidence of failure but instead a sign of the model's capabilities. To be listed under the paper's "failure cases," Veo 3 had to fail a tested task across all 12 trials, which happened in 16 of the 62 tasks tested. For the rest, the researchers write that "a success rate greater than 0 suggests that the model possesses the ability to solve the task."
Last week, Google AI pioneer Jad Tarifi sparked controversy when he told Business Insider that it no longer makes sense to get a medical degree - since, in his telling, artificial intelligence will render such an education obsolete by the time you're a practicing doctor. Companies have long touted the tech as a way to free up the time of overworked doctors and even aid them in specialized skills, including scanning medical imagery for tumors. Hospitals have already been rolling out AI tech to help with administrative work.