The 'Scaling Illusion,' a mechanism the engine describes.
It's the idea that AI progress looks better on paper than it really is.
As more computing power is thrown at models, the internal metrics (loss curves) keep improving even while the real output quality stagnates — because people evaluate the metrics instead of the actual results.
It warns that impressive-looking numbers can mask diminishing real-world returns on all that energy and compute.