> We have no evidence that superintelligence will be developed.
Fundamentally, we have no evidence of anything that will happen in the future. All we do is to extrapolate from the past through the present, typically using some kind of theory of how the world operates.
The belief that we will eventually (whether it's this year or in 1000+ years), really only hinges on the following 3 assumptions:
1) The human brain is fully material (no divine souls is necessary for intelligence)
2) The human brain does not represent a global optimum for how intelligent a material intelligence-having-object can be.
3) We will eventually have the ability to build intelligence-having-objects (similar or different from the brain) that not only can do the same as a brain (that would be mere AGI), but also surpass it in many ways.
Assumptions 1 and 2 have a lot of support in the current scientific consensus. Those who reject them either do not know the science or they have a belief system that would be invalidated if one of those assumptions were true. (That could be anything from a Christian belief in the soul to an ideological reliance of a "Tabula Rasa" brain).
Assumption 3 is mostly techno-optimism, or an extrapolation of the trend that we are able to build ever more advanced devices.
As for WHEN we get there, there is a fourth assumption required for it to happens soon:
4. For intelligence-having-objects to do their thing, they don't need some exotic mechanisms we don't yet need to build. For instance, there is no need to build large quantum computers for this.
This assumption is mostly about belief, and we really don't know.
Yet, given the current rate of progress, and if we accept assumptions 1-3, I don't think assumption 4 is unreasonable.
If so, it's not unreasonable to assume that our synthetic brains reach roughly human level intelligence when their size/complexity becomes similar to that of human brains.
Human brains have ~200 trillion synapses. That's about 100x-1000x more than the latest neural nets that we're building.
Based only on scale, current nets (GPT-4 generation) should have total capabilities similar or slightly better than a rat. I think that's not very far off from what we're seeing, even if the nets tend to have those capabilities linked to text/images rather than the physical world that a rat navigates.
In other words, I think we DO have SOME evidence (not conclusive) that the capabilities of a neural net can reach similar "intelligence" to animals with a similar number of synapses.
So IF that hypothesis holds true, and given assumptions 1-3 above, there is a fair possibility that human level intelligence will be reached when we scale up to about 200 trillion weights (and have the ability to train such nets).
And currently, several of the largest and most valuable companies in the world are making a huge gamble on this being the case, with plans to scale up nets by 100x over the next few years, which will be enough to get very close to human brain sized nets.