Are there any essays anywhere that go in depth about scenarios where AIs become somewhat recursive/general in that they can write functioning code to solve diverse problems, but the AI reflection problem remains unsolved and thus limits the depth of recursion attainable by the AIs? Let's provisionally call such general but reflection-limited AIs semi-general AIs, or SGAIs. SGAIs might be of roughly smart-animal-level intelligence, e.g. have rudimentary communication/negotiation abilities and some level of ability to formulate narrowish plans of the sort that don't leave them susceptible to Pascalian self-destruction or wireheading or the like.
At first blush, this scenario strikes me as Bad; AIs could take over all computers connected to the internet, totally messing stuff up as their goals/subgoals mutate and adapt to circumvent wireheading selection pressures, without being able to reach general intelligence. AIs might or might not cooperate with humans in such a scenario. I imagine any detailed existing literature on this subject would focus on computer security and intelligent computer "viruses"; does such literature exist, anywhere?
I have various questions about this scenario, including:
- How quickly should one expect temetic selective sweeps to reach ~99% fixation?
- To what extent should SGAIs be expected to cooperate with humans in such a scenario? Would SGAIs be able to make plans that involve exchange of currency, even if they don't understand what currency is or how exactly it works? What do humans have to offer SGAIs?
- How confident can we be that SGAIs will or won't have enough oomph to FOOM once they saturate and optimize/corrupt all existing computing hardware?
- Assuming such a scenario doesn't immediately lead to a FOOM scenario, how bad is it? To what extent is its badness contingent on the capability/willingness of SGAIs to play nice with humans?