That seems reasonable, but I'm not sure if we really know yet. If current models are given direction and control to change how the next model is trained or architected it seems plausible that they could stumble into such a breakthrough.
The current LLM approach makes huge assumptions, including that training only on text prediction is enough to simulate true intelligence. That may or may not be a valid assumption, but it could be enough for the LLM to make one seemingly small change that ends up running away from us faster than we would realize.
