Why the "Intelligence Optimum" Misses the Point
What if it's problems all the way down?
I recently came across an interesting argument about AI development hitting an "intelligence optimum" where additional capabilities become imperceptible, like adding more triangles to a 3D model beyond what the human eye can distinguish. The idea is that once AI can represent all cognitive primitives and perform all possible manipulations on them, further improvements are just "vanity points" that fade into background noise.
Not sure about this framing.
The Equal Difficulty Fallacy
The argument treats all problems as having equal difficulty, like assuming the energy cost of accelerating from 1-99mph is the same as 99-100mph. You can scale problem complexity just by adding variables, but this ignores that some problems aren't just harder versions of existing ones. They're qualitatively transformative.
The best answers typically lead to more questions anyway. Intelligence that actually works might not be about clearing a finite queue of problems but about opening up entirely new problem spaces that were previously invisible.
Why the Graphics Analogy Breaks Down
Consider two civilizations: one that can manipulate gravity and one that can't. The difference wouldn't be a subtle 0.00001% improvement you'd need instruments to detect. One has floating cities, warped spacetime travel, and matter configurations we can't even imagine. The other is bound to planetary surfaces. An observer would instantly know which was which.
This completely undermines the graphics triangles analogy. Going from 60,000 to 600,000 triangles might be imperceptible, but solving transformative problems creates discontinuous phase transitions. A superintelligence that cracks consciousness manipulation, time engineering, or the fundamental nature of causality wouldn't look marginally better than current AI. It would be operating in entirely different domains of possibility.
The triangles analogy assumes you're always just making better pictures of the same basic objects. But solving truly transformative problems is like discovering you can step outside the 2D plane entirely.
Cherry-Picking Problems
More fundamentally, the intelligence optimum argument is cherry-picking the definition of "problem." It assumes problems are just computational puzzles of varying difficulty, when some might be phase transitions that unlock entirely new dimensions of possibility.
Intelligence might not just solve existing problems but reveal that our current problem categories are projections of higher-order structures we can't recognize. A more intelligent system might discover entire categories of problems that were previously invisible, making it simultaneously more capable and faced with a larger problem space.
The Intellitronium Scenario
If intelligence has structure, you could theoretically convert the universe into unified intelligent substrate (intellitronium, not mere computronium). The intelligence optimum argument implies a being with half that capability wouldn't seem qualitatively different, which ignores that some breakthroughs unlock entirely new categories of existence rather than just optimizing within current ones.
The universe-as-intelligence wouldn't just solve all existing problems. It would likely generate problem categories we can't even conceive of. Problems might actually be defined by the cognitive architecture attempting them, not exist independently of it.
The Category Error
The "intelligence optimum" assumes we know what the complete possibility space looks like, but that's exactly what transformative intelligence might reveal to be a category error.
What if intelligence actually works by discovering new types of cognitive primitives, not just mastering a fixed set? What if the very act of getting smarter reveals that what you thought were fundamental building blocks were actually projections of higher-order structures?
This connects to deeper questions about the nature of reality itself. If some problems are actually keys that unlock entirely new domains of possibility, then solving them creates discontinuous jumps in capability that would be immediately obvious to any observer.
Conclusion
The intelligence optimum framework only works if you assume we're always rendering the same basic type of object, just with higher fidelity. But transformative intelligence might be more like discovering that your 2D image was actually a projection of a 3D object, then realizing that was a cross-section of a 4D structure, and so on indefinitely.
The difference between a being that can manipulate the foundations of reality and one that can't wouldn't be a subtle rendering improvement. It would be the difference between existing in completely different universes.