The moment after human birth the human agent starts a massive information gathering process - that no other system really expects much output from in a coherent way - for 5-10 years. Aka “data dump” some of that data is good, and some of it is bad. This in turn leads to biases, it leads to poor thinking models; everything that you described, is also applicable to every intelligent system - including humans. So again you presupposing that there’s some kind of perfect information benchmark that couldn’t exist.

When that system comes out of the birth canal it already has embedded in it millions of years of encoded expectations predictability systems and functional capabilities that are going to grow independent of what the environment does (but will be certainly shaped in its interactions by the environment).

So no matter what, you have a structured system of interaction that must be loaded with previously encoded data (experience, transfer learning etc) with and it doesn’t matter what type of intelligent system you’re talking about there are foundational assumptions at the physical interaction layer that encode all previous times steps of evolution.

Said an easier way: a lobster, because of the encoded DNA that created it, will never have the same capabilities as a human, because it is structured to process information completely differently and their actuators don’t have the same type and level of granularity as human actuators.

Now assume that you are a lobster compared to a theoretical AGI in sensor-effector combination. Most likely it would be structured entirely differently than you are as a biological thing - but the mere design itself carries with it an encoding of structural information of all previous systems that made it possible.

So by your definition you’re describing something that has never been seen in any system and includes a lot of assumptions about how alternative intelligent systems could work - which is fair because I asked your opinion.