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."
Comments
Tao’s commentary is more practical and insightful than all of the “rationalist” doomers put together.
That seems like a low bar :)
My priors do not allow the existence of bars. Your move.
You would have felt right at home in the time of the Prohibition.
(a) no it's not
(b) your comment is miles off-topic, as he is not addressing doom in any sense
I agree about Tao in general, but here,
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)