>Imagine how fast you could think if you had a mentally stable whiteboard that you could perceive as clearly as you can see, and update as fast as you can think the changes.

Thinking about what I am going to draw or write on the whiteboard takes the bulk of time, not the act of drawing or writing. The "update as fast as you can think" part will likely be achieved soon with neural interface, yet it's hard to imagine that this will lead to "superintelligence" of some sort. Same for "mental file cabinets": real or digital files allow to trivially store information, and search systems allow to retrieve it pretty quickly, yet somehow Google didn't make everyone who can use it super smart.

Same goes for vocal speed: coming up with the words to describe the idea and coming up with the idea itself are different things, second being much more hard.

> At this point, IMHO, anyone pessimistic about AI has expectations far behind the exponential curve we are in.

The problem is that the crucial aspect of reasoning is missing in the state of the art models right now. We can make LLMs write to and read from files, but as long as there is a chance that any of its output will be incoherent (and there's a good of this chance now) and there is no mechanism to actually check for errors logically, the whole whiteboard architecture will be a huge demonstration of "garbage in, garbage out".