| 6. On “This is just a critique of current models—not AGI itself” No. This isn’t about GPT-4, or Claude, or whatever model’s in vogue this quarter. Neither is it about architecture. It’s about what no symbolic system can do—ever. If your system is:
a) Finite
b)Bounded by symbols
C) Built on recursive closure …it breaks down where things get fuzzy:
where context drifts, where the problem keeps changing, where you have to act before you even know what the frame is. That’s not a tuning issue, that IS the boundary.
(And we’re already seeing it.) In The Illusion of Reasoning (Shojaee et al., 2025, Apple),
they found that as task complexity rises:
- LLMs try less
- Answers get shorter, shallower
- Recursive tasks—like the Tower of Hanoi—just fall apart
- etc That’s IOpenER in the wild:Information Opens. Entropy Rises.
The theory predicts the divergence, and the models are confirming it—one hallucination at a time. |