"What would it take for artificial intelligence to make real progress?"
Classic case of missing the forest for the trees.<p>I can appreciate the author is trying to highlight current challenges in an attempt to start a discussion, but having witnessed the very real progress ML has made in just the last 10 years, it's hard not to read that subtitle as a bit inflammatory. With every new breakthrough - or even moderate improvement - the goalposts of what constitutes ML/AI progress are shifted just far enough to buy the naysayers just enough plausible deniability that they aren't immediately dismissed when they point out that "sure, ML has given us Siri/Alexa, StableDiffusion, AlphaZero, image recognition and self-driving cars that don't immediately crash, but what about cancer diagnosis and AGI?"<p>I wonder what the world of the Cambrian Explosion would look like to those naysayers if they had been around at the time. "Look at all these evolutionary dead-ends. Locomotion? Nervous systems? Skeletons? All this trial and error will never amount to anything. We need to make real progress."
Deep learning (research) has hit a wall. Hint hint no more funding.<p>Deep learning applications are just getting started and from what I'm seeing on the ground, will take no less than 5-10 years before we see it take off.