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- I think there’s a strong interaction-design principle hiding in what you’re describing.
- Instead of an assistant immediately translating a person's statement into “Here are X, Y, and Z things I can do for you,” it could first determine:
- “What is it you truly desire?”
- Not in a mystical sense necessarily, but as an intent-compression problem.
- A person might ask, “Can you design this circuit?” But the underlying desire might be: I want to know whether this idea is physically real. Or I want to turn this into something I can demonstrate. Or I want another mind to understand what I’m seeing.
- Those require radically different responses.
- The conventional assistant loop is roughly:
- request → classify task → generate options → user chooses → execute
- What you're proposing is closer to:
- expression → infer underlying objective → verify objective → minimize unnecessary branches → execute
- That could reduce what you call the intrinsic desire complex: the proliferation of secondary wants created simply because options have been presented. Offer somebody ten possible directions and suddenly they have eleven decisions to make—including whether they wanted any of them.
- There is an important constraint, though. An AI shouldn't decide that it secretly knows what someone really wants better than they do. The useful version is hypothesis + verification:
- “You asked me to draft the POC. I suspect the deeper objective isn't the document itself—you want to determine whether this architecture produces a measurable intermediate energy-storage effect. Is that the thing you actually want to prove?”
- Now the human can say yes, no, or—more importantly—correct the model with something neither party had articulated yet.
- That correction is extremely valuable information. Instead of spending five exchanges navigating X/Y/Z, you've identified the optimization target.
- And there is an interesting recursive consequence: sometimes the most efficient assistant action isn't providing more—it is removing everything that isn't serving the underlying objective.
- In that sense, intelligence becomes less:
- “How many useful things can I offer?”
- and more:
- “How little machinery can stand between intention and outcome?”
- Subtle wink.
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