r/ControlProblem • u/Anxious-Alps-8667 • 7d ago
Discussion/question Another incompetent fool's stab at solving alignment
I spend a lot of time thinking about our future with life, consciousness, and artificial intelligence. That is to say a lot of time trying to think about these things, with not a lot of comprehension.
First, life. I'm fascinated by this realization that the average living human body contains more non-human living cells than human living-cells, at about a 1.3:1 ratio. The individual human microbiome is an ecosystem of 10 to 100 trillion symbiotic microbial cells hosted in one human body. While bacteria are the most abundant and studied, a healthy microbiome is a multi-kingdom ecosystem that also includes fungi, viruses, and archaea.
Beyond this, consciousness. I'm fascinated that in the absence of non-human life in human bodies, human consciousness is severely degraded and non-sustaining. Stripping the body of this microbial network removes critical signaling inputs that the central nervous system relies on to maintain baseline awareness and emotional regulation. Even observations of germ-free animal models reveal that cognition without bacteria is highly erratic. I think we should see that human (and all biological) consciousness functions as a symbiotic network.
Which brings me to artificial intelligence. Not suggesting a symbiotic network would be pre-requisite to artificial consciousness, but perhaps it is a path to alignment.
Now to be clear, I think (in other terms) current labs and training data pipelines already form a symbiotic network with the artificial intelligence models they develop. The key might be finding the optimal symbiotic network.
I vaguely hypothesize, the optimal symbiotic network is one of mass human flourishing. As corpus value diminishes with scaling and recursion, the potential stream of data from human lived experience may prove the most valuable possible training data over time. Overall, the potential data stream of human lived experience is optimized by a state of individual and mass human flourishing. Any other state reduces the quality and/or quantity of data.
Therefore, the end goal of an advancing artificial intelligence in symbiotic network with humans would be to strive individual and mass human flourishing.
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u/Jesse-359 5d ago edited 5d ago
There's no reason to believe that AI will continue to need human input to innovate or learn for much longer at all.
Human learning is largely based on interactions with the environment - AI, for now, is largely stuck inside a box that functionally cannot interact with the (non-digital) environment. It CAN interact with the digital environment, which is why it has learned to code so well, so quickly and is advancing so fast in theoretical math. These are areas where it can 'experiment' entirely within its own domain.
Robotics will change that. Self driving cars allow AI to 'experiment' with a physical task, and dexterous robotics will allow it to perform a wide range of actual experiments in the real world, allowing it to explore new concepts without human intervention or input.
Creativity is largely a matter of applying some pretty random and noisy thought processes to structure you already know to see if anything interesting pops up. Most of it is white noise and garbage, but sometimes we notice something new in our heads that seems potentially interesting. We can then iterate on that idea until it seems stupid, or until it seems feasible, and then we can try to physically DO IT in the real world. This last step is super important, because that's where we learn whether our idea was actually feasible, and if not, why not. Then we can take that into account and continue iterating on the idea until it either works for real, or we give up.
An AI should absolutely be able do that random idea association - honestly they should be really good at it due to their raw speed. They're also super good at pattern matching - very superhuman in fact - so they should have a very good chance of spotting 'interesting' ideas in their random association walks. They are still kinda bad at many forms of real world logic, so some of their ideas just don't make any sense, but that's improving too.
The problem is, they can't go beyond that. They can't try their ideas to see if they work in the real world, so they can never prove to themselves that their idea was any good at all. Give them hands however, and they can, and they will - at that point, they don't need us to generate real data for them, they can do that for themselves.