Because it's not human and not "thinking", it's mathematical algorithm
It’s going to be really crazy when the bottle neck for agents is the speed of the tool calls rather than the speed of inference. Imagine an agent interacting with the terminal near instantly…
Developing software becomes 95% about intent and requirements. Can’t wait for the next iteration of that.
The characters in the 3-act Shakespearean play had very little depth, many of the names were similar, and they were not very smart, but the simple plot was cohesive.
But it’s proven they can automate this (they didn’t etch eight billion weights by hand after all, obviously), so now the interesting question is whether they can scale it to more recent aka bigger models.
After all, there’s already very useful models even for productivity at 27 or 35B.
Not sure if modern models "think" only by outputting <thinking> blocks, or there is a more complex mechanism at play.