That would like saying that because humans’ output can be better or worse based on better or worse past experience (~prompting, in that it is the source of the equivalent of “in-context learning”), humans lack general intelligence.
This is more like the distinction of a Jr and Sr dev. One needs the tasks the be pre-chewed and defined “good prompts” while the latter can deal with very ambiguous problems
The entirety of a human's experience is the “prompt”. Current LLMs rely on the analog of instinct (pre-context in-built training) a lot more than humans for their behavior because they have itty bitty tiny context windows, but humans have really big context windows for in-context learning.
