I agree about Tao in general, but here,

> AI technology is now rapidly approaching the point of transition from qualitative to quantitative achievement.

I don't get it. The whole history of deep learning was driven by quantitative achievement on benchmarks.

I guess the rest of the post is about adding emphasis on costs in addition to overall performance. But, I don't see how that is a shift from qualitative to quantitative.

He means people in this AI hype trend mostly focused on "now AI can do a task that was impossible mere 5 years ago", but we will gradually change our perception of AI to "how much energy/hardware cost to complete this task and does it really benefit us."

(My interpretation, obviously)