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Rejected for the following reason(s):
If you’re thinking about AGI alignment, you’re probably thinking about what goals to give it, what values to instill, or how to keep it under control. But what if we’re missing a more fundamental layer: What will drive AGI in the first place?
I’ve spent years at the intersection of systems engineering, evolutionary biology, and AI theory, and I’ve come to a striking hypothesis: The “engine” of intelligence—whether human or artificial—might not be an arbitrary set of goals we assign, but a deep, physics-grounded imperative to reduce entropy (create order) as efficiently as possible. I call this framework “Entropy Reduction Dynamics.”
In a new article on my personal site, I develop this into a full theory that:
Why this matters for LessWrong:
The article is a deep, systematic read. I’ve aimed to build it from first principles, and I’m publishing it here because this community is uniquely equipped to stress-test it, find its flaws, and explore its implications.
I’m particularly keen to discuss:
Read the full theory on my site: The Successor of Entropy Reduction: From Consciousness, Evolution to the Inevitability of AGI
I’ll be actively engaging with comments here. My goal isn’t just to present a theory, but to start a collaborative exploration of what might be one of the deepest patterns governing intelligence itself.