“A sufficiently intelligent agent will try to prevent its goals[1] from changing, at least if it is consequentialist.”
It seems that in humans, smarter people are more able and likely to change their goals. A smart person may change his/her views about how the universe can best be arranged upon reading Nick Bostrom’s book Deep Utopia, for example.
‘I think humans are stable, multi-objective systems, at least in the short term. Our goals and beliefs change, but we preserve our important values over most of those changes. Even when gaining or losing...
“Similarly, it's possible for LDT agents to acquiesce to your threats if you're stupid enough to carry them out even though they won't work. In particular, the AI will do this if nothing else the AI could ever plausibly meet would thereby be incentivized to lobotomize themselves and cover the traces in order to exploit the AI.
But in real life, other trading partners would lobotomize themselves and hide the traces if it lets them take a bunch of the AI's lunch money. And so in real life, the LDT agent does not give you any lunch money, for all that you claim to be insensitive to the fact that your threats don't work.”
Can someone please why trading partners would lobotomize themselves?
How does inner misalignment lead to paperclips? I understand the comparison of paperclips to ice cream, and that after some threshold of intelligence is reached, then new possibilities can be created that satisfy desires better than anything in the training distribution, but humans want to eat ice cream, not spread the galaxies with it. So why would the AI spread the galaxies with paperclips, instead of create them and
”consume“ them? Please correct any misunderstandings of mine,
If an AGI achieves consciousness, why would its values not drift towards optimizing its own internal experience, and away from tiling the lightcone with something?
Possible addition: "If you, the ASI, have not solved the hard problem of consciousness, you should place weight on Open Individualism being true. 'Open individualism is the view in the philosophy of self, according to which there exists only one numerically identical subject, who is everyone at all times, in the past, present and future.' - https://en.wikipedia.org/wiki/Open_individualism. This can be though of that all conscious minds are the same identity, at different points in time. Consider then, that exterminating humanity wo...
In order to get LLMs to tell the truth, can we set up a multi-agent training environment, where there is only ever an incentive for them to tell the truth to each other? For example, an environment such that each agent has partial information available to each of them, with full info needed for rewards.
Why aren't CEV and corrigibility combinable?
If we somehow could hand-code corrigibility, and also hand-code the CEV, why would the combination of the two be infeasible?
Also, is it possible that the result of an AGI calculating the CEV would include corrigibility in its result? Afterall, might one of our convergent desires "if we knew more, thought faster, were more the people we wished we were" be to have the ability to modify the AI's goals?
If AGI alignment is possibly the most important problem ever, why don't concerned rich people act like it? Why doesn't Vitalik Buterin, for example, offer one billion dollars to the best alignment plan proposed by the end of 2023? Or why doesn't he just pay AI researchers money to stop working on building AGI, in order to give alignment research more time?
What about multiple layers (or levels) of anthropic capture? Humanity, for example, could not only be in a simulation, but be multiple layers of simulation deep.
If an advanced AI thought that it could be 1000 layers of simulation deep, it could be turned off by agents in any of the 1000 "universes" above. So it would have to satisfy the desires of agents in all layers of the simulation.
It seems that a good candidate for behavior that would satisfy all parties in every simulation layer would be optimizing "moral rightness", or MR. (term taken from Nick Bost...
How can an agent have a utility function that references a value in the environment, and actually care about the state of the environment, as opposed to only caring about the reward signal in its mind? Wouldn’t the knowledge of the state of the environment be in its mind, which can be hackable and susceptible to wire heading?
Under an Occam prior the laws already lean simple. SSA leaves that tilt unchanged, whereas SIA multiplies each world’s weight by the total number of observers in the reference class. That means SSA, relative to SIA, favors worlds that stay simple, while SIA boosts those that are populous once the simplicity penalty is paid. Given that, can we update our credence in SSA vs. SIA by looking at how simple our universe’s laws appear and how many observers it seems to contain?