A main point of the entire paper is to encourage thinking about the alignment problem DIFFERENTLY than has been done so far. I realize it’s a mental shift and may/will be difficult for people to accept… but the goal is to actually start thinking that the advanced AI “mind” can still be shaped (designed) in a way that leverages our human experiences and the natural parent-child strategy that’s been shown in nature to produce children protective of their parents… and to again leverage the concept of evolution of intelligence to make it “pesonal” for the future AI.
...after all, neural nets themselves leverage the concepts/designs of the biological brain in the first place, and the way symbolic/semantic features are naturally being formed during training (even after only using “predict the next word” techniques), shows that the “mind” we’re creating may eventually share a lot more in common with our own than most think.
The paper combines what I see as two “camps” of alignment into one:
one camp is focused on aligning to moral/ethical/human values and goals
one camp is overly focused on aligning by controlling/steering
The Supertrust definition of alignment combines both, but that may not be so clearly stated in the paper.
Also, I’m certainly not a beginner in this field, I’ve been doing AI research and creating AI products for over 34 years at this point, and thinking about alignment since 1990.
I know you’re very busy and your time is valuable, but I wanted to see if you could possibly fully read the paper (rather than quickly scan it) and then I can better understand which parts are lacking and not comunicating what is intended. Also, from your comments it seems you may be a moderator with the ability to stop my post from appearing for others to read… so in that light, I ask that you carefully consider it.
Hi quila, I was hoping to continue this discussion with you if you had the time to read my paper and understand that what I’m talking about is a new “strategy” for defining and apporaching the alignmemt problem, and not based on my personal “introspectively-observed moral reflection process” but based on concepts explored by others in the fields of psychology, evolution, AI, etc… it simply lays out a 10-point rationale, which of course you may agree or disagree with any of them, and specifies a proposed definition for the named Supertrust alignment strategy.
The strategic apporach is to start intentionally “personifying” AI, and relating AI stages to nature and nurture, in order to leverage these valuable evolution-based concepts to build-in the protective instincts that will provide humanity the most protection as AI nears ASI. This isn’t about me, or my personal morals, or even my beliefs… it’s about simply applying logic to the current problem, leveraging the human familial experience and the work of many others, such as those who’ve deeply studied the aspects of trust.
Thanks again for your feedback!
A main point of the entire paper is to encourage thinking about the alignment problem DIFFERENTLY than has been done so far. I realize it’s a mental shift and may/will be difficult for people to accept… but the goal is to actually start thinking that the advanced AI “mind” can still be shaped (designed) in a way that leverages our human experiences and the natural parent-child strategy that’s been shown in nature to produce children protective of their parents… and to again leverage the concept of evolution of intelligence to make it “pesonal” for the future AI.
...after all, neural nets themselves leverage the concepts/designs of the biological brain in the first place, and the way symbolic/semantic features are naturally being formed during training (even after only using “predict the next word” techniques), shows that the “mind” we’re creating may eventually share a lot more in common with our own than most think.
The paper combines what I see as two “camps” of alignment into one:
one camp is focused on aligning to moral/ethical/human values and goals
one camp is overly focused on aligning by controlling/steering
The Supertrust definition of alignment combines both, but that may not be so clearly stated in the paper.
Also, I’m certainly not a beginner in this field, I’ve been doing AI research and creating AI products for over 34 years at this point, and thinking about alignment since 1990.
I know you’re very busy and your time is valuable, but I wanted to see if you could possibly fully read the paper (rather than quickly scan it) and then I can better understand which parts are lacking and not comunicating what is intended. Also, from your comments it seems you may be a moderator with the ability to stop my post from appearing for others to read… so in that light, I ask that you carefully consider it.
Thanks again!
Hi quila, I was hoping to continue this discussion with you if you had the time to read my paper and understand that what I’m talking about is a new “strategy” for defining and apporaching the alignmemt problem, and not based on my personal “introspectively-observed moral reflection process” but based on concepts explored by others in the fields of psychology, evolution, AI, etc… it simply lays out a 10-point rationale, which of course you may agree or disagree with any of them, and specifies a proposed definition for the named Supertrust alignment strategy.
The strategic apporach is to start intentionally “personifying” AI, and relating AI stages to nature and nurture, in order to leverage these valuable evolution-based concepts to build-in the protective instincts that will provide humanity the most protection as AI nears ASI. This isn’t about me, or my personal morals, or even my beliefs… it’s about simply applying logic to the current problem, leveraging the human familial experience and the work of many others, such as those who’ve deeply studied the aspects of trust.