Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Wired:

Earlier this month, Clune discussed these findings with fellow researchers at the Neural Information Processing Systems conference in Montreal. The event brought together some of the brightest thinkers working in artificial intelligence. The reactions sorted into two rough groups. One group—generally older, with more experience in the field—saw how the study made sense. They might’ve predicated a different outcome, but at the same time, they found the results perfectly understandable.

The second group, comprised of people who perhaps hadn’t spent as much time thinking about what makes today’s computer brains tick, were struck by the findings. At least initially, they were surprised these powerful algorithms could be so plainly wrong. Mind you, these were still people publishing papers on neural networks and hanging out at one of the year’s brainiest AI gatherings.

To Clune, the bifurcated response was telling: It suggested a sort of generational shift in the…