"What would it take for artificial intelligence to make real progress?" Classic case of missing the forest for the trees.

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?"

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."

  Locomotion? Nervous systems? Skeletons? All this trial and error will never amount to anything.

Deep learning (research) has hit a wall. Hint hint no more funding.

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.

Archived in full: https://archive.is/WvGoZ

Hitting a wall??? Deep learning is winning and making insane strides right now. What is this nonsense?

The only wall I see is a paywall.

can't understand why something is learning, or what it's learned, then you can't fix it when it stops learning.