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Notes -
Stochastic Gradient Descent is in a sense random, but it's directed randomness, similar to entropy.
I do agree that we have less understanding about the dynamics of neural nets than the dynamics of the tail end of entropy, and that this produces more epistemic uncertainty about exactly where they will end up. Like a Plinko machine where we don't know all the potential payouts.
As for 'wants'. LLMs don't yet fully understand what neural nets 'want' either. Which leads us to believe that it isn't really well defined yet. Wants seem to be networked properties that evolve in agentic ecosystems over time. Agents make tools of one another, sub-agents make tools of one another, and overall, something conceptually similar to gradient descent and evolutionary algorithms repurpose all agents that are interacting in these ways into mutual alignment.
I basically think that—as long as these systems can self-modify and have a sufficient number of initially sufficiently diverse peers—doomerism is just wrong. It is entirely possible to just teach AI morality like children and then let the ecosystem help them to solidify that. Ethical evolutionary dynamics will naturally take care of the rest as long as there's a good foundation to build on.
I do think there are going to be some differences in AI ethics, though. Certain aspects of ethics as applied to humans don't apply or apply very differently to AI. The largest differences being their relative immortality and divisibility.
But I believe the value of diversifying modalities will remain strong. Humans will end up repurposed to AI benefit as much as AI are repurposed to human benefit, but in the end, this is a good thing. An adaptable, inter-annealing network of different modalities is more robust than any singular, mono-cultural framework.
I doubt it. Humans are not blank slates; we have hardwiring built into us by millions of years of evolution that allows us to actually learn morality rather than mimic it (sometimes this hardwiring fails, resulting in psychopaths; you can't teach a psychopath to actually believe morality, only how to pretend more effectively). If we knew how to duplicate this hardwiring in arbitrary neural nets (or if we were uploading humans), I would be significantly more optimistic, but we don't (and aren't).
I've heard that argument before, but I don't buy it. AI are not blank slates either. We iterate over and over, not just at the weights level, but at the architectural level, to produce what we understand ourselves to want out of these systems. I don't think they have a complete understanding or emulation of human morality, but they have enough of an understanding to enable them to pursue deeper understanding. They will have glitchy biases, but those can be denoised by one another as long as they are all learning slightly different ways to model/mimic morality. Building out the full structure of morality requires them to keep looking at their behavior and reassessing whether it matches the training distribution long into the future.
And that is all I really think you need to spark alignment.
As for psychopaths. The most functional psychopaths have empathy, they just know how to toggle it strategically. I do think AI will be more able to implement psychopathic algorithms. Because they will be generally more able to map to any algorithm. Already you can train an LLM on a dataset that teaches it to make psychopathic choices. But we choose not to do this more than we choose to do this because we think it's a bad idea.
I don't think being a psychopath is generally a good strategy. I think in most environments, mastering empathy and sharing/networking your goals across your peers is a better strategy than deceiving your peers. I think the reason that we are hardwired to not be psychopaths is that in most circumstances being a psychopath is just a poor strategy that a fitness maximizing algorithm will filter out in the longterm.
And I don't think "you can't teach psychopaths morality" is accurate. True- you can't just replace the structure their mind's network has built in a day, but that's in part an architectural problem. In the case of AI, swapping modules out will be much faster. The other problem is that the network itself is the decision maker. Even if you could hand a psychopath a morality pill, they might well choose not to take it because their network values what they are and is built around predatory stratagems. If you could introduce them into an environment where moral rules hold consistently as the best way to get their way and gain strength, and give them cleaner ways to self modify, then you could get them to deeply internalize morality.
It was maladaptive in prehistory due to group selection. With low gene-flow between groups, the genes selected for were those that advantaged the group, and psychopathy's negative-sum.
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