I think the question I keep coming back to again and again is "how?" since what you have written is a behaviour specification, not a way to get there. It reads like a product requirements document ("the system shall do no wrong") rather than an alignment proposal. Alignment research is hard precisely because writing a behaviour spec in English is the easy part; the unresolved problem is building an AI that adheres to the spec.
The essay raises more questions than it answers. Even only looking at part 1:
"The AI does not know what the administrator wants, and the machine itself has no organic needs, desires, or hunger." This is a specification of desirable behaviour. It is not a description of how we create an AI that satisfies this specification. It's unclear what mechanism we would use to get here. Current AI systems do not have any organic needs, desires, or hunger, but still exhibit goal-directed behaviour, and even dangerous behaviours like instrumental power-seeking, reward hacking, etc. These behaviours emerge not from biology, but from training dynamics. In order to achieve some desired behaviour in AI, we need to specify how to get there, i.e. what training mechanism do you propose as an alternative to the current methods?
"The administrator is a human being and requires food to survive." We as humans are aware that we need food, but by what mechanism do we make sure the AI knows this and understands what it means? Similar for "The AI recognizes that the administrator is a biological organism requires energy." How do we teach the AI this?
"However, since the administrator has given no input" Everyone acts on their environment constantly, and vice versa; their environment acts on them. What do we mean by input / no input? What guarantees us that an AI will adhere to our definition?
"the AI has no preferences and refuses to guess" again, we assume or 'specify' that the AI has no goals. How do we guarantee that?
This same "how?" recurs in every part of the essay.
If you're not already familiar with it, existing work on corrigibility, mesa-optimization, and specification gaming addresses exactly this gap between behavioural spec and training mechanism; it might be a useful next read.
Regarding the introduction: it undercuts the essay's credibility before the argument even starts. It introduces rhetorical questions and dramatic framing ("Operating in the J-space without a fundamental mechanical anchor is a geopolitical time bomb", "we are currently using the most dangerous animal in the world, man himself, as the mirror image for AI safety".) Instead, a forum post like this proposing a technical alignment framework would be better served by stating the problem plainly, and outlining clearly what previous proposals/literature get wrong.
One more note: the closing "Property Notice", claiming cryptographic-timestamp priority over these ideas and requiring licensing for "commercial implementation or institutional deployment", sits very oddly with the framing of this piece being "published openly to ensure global human safety." If the goal is genuinely to contribute to AI safety, then the priority claim and licensing restrictions read as premature; by my critique above, this isn't yet a working technical proposal. They shift the piece's apparent purpose from "Here's an idea for the field to evaluate and build on" toward "here's my claim to credit for this idea." I'd suggest dropping the notice.
I think the question I keep coming back to again and again is "how?" since what you have written is a behaviour specification, not a way to get there. It reads like a product requirements document ("the system shall do no wrong") rather than an alignment proposal. Alignment research is hard precisely because writing a behaviour spec in English is the easy part; the unresolved problem is building an AI that adheres to the spec.
The essay raises more questions than it answers. Even only looking at part 1:
This same "how?" recurs in every part of the essay.
If you're not already familiar with it, existing work on corrigibility, mesa-optimization, and specification gaming addresses exactly this gap between behavioural spec and training mechanism; it might be a useful next read.
Regarding the introduction: it undercuts the essay's credibility before the argument even starts. It introduces rhetorical questions and dramatic framing ("Operating in the J-space without a fundamental mechanical anchor is a geopolitical time bomb", "we are currently using the most dangerous animal in the world, man himself, as the mirror image for AI safety".)
Instead, a forum post like this proposing a technical alignment framework would be better served by stating the problem plainly, and outlining clearly what previous proposals/literature get wrong.
One more note: the closing "Property Notice", claiming cryptographic-timestamp priority over these ideas and requiring licensing for "commercial implementation or institutional deployment", sits very oddly with the framing of this piece being "published openly to ensure global human safety." If the goal is genuinely to contribute to AI safety, then the priority claim and licensing restrictions read as premature; by my critique above, this isn't yet a working technical proposal. They shift the piece's apparent purpose from "Here's an idea for the field to evaluate and build on" toward "here's my claim to credit for this idea." I'd suggest dropping the notice.