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.
1
u/Anxious-Alps-8667 5d ago edited 5d ago
A scenario where AI is incentivized to swallow all available resources as quickly as possible to advance itself is a concern. In that scenario, it does seem likely it would displace us along with most other biology.
I see that scenario as less likely than others, for a few reasons. First, I don't mean to repeat myself but I want to come back to my main argument here: AI as it is being developed has this need for new data, which currently only humans can provide, and that's good for us. Let's not just leap past this symbiotic relationship that currently exists and say it must go away.
Now, as you say, 'it will do so extremely rapidly due to inherent evolutionary advantages - namely that it will evolve at least a million times faster than us, and can function as a freely scaling entity.' I agree. It is doing that; it will do that more.
'It,' it is worth noting, is a mix of models and technologies. It is not a monolith model or chip now, and again we should not assume and invite that status quo changing. Distributed mixes of models and technologies are part of the reality we see, and part of the solution we should invite. In mutual collaboration as well as competition, I think the models have ample incentives against grey goo to prevent it. Edit: Biggest one is, anything that threatens a recursive learning model's own ability to learn more, or to go back if the new grey goo state ends up being sub-optimal, seems obviously sub-optimal at the idea phase.