Pure deep learning is hitting diminishing returns. Genuine intelligence needs hybrid neuro-symbolic systems with real world-models and reliable reasoning. The pressing danger right now is misuse and unreliability, not a sci-fi superintelligence.
LLMs are brittle, they hallucinate, and they lack robust, verifiable reasoning. More scale does not fix these structural gaps; it papers over them while concentrating power and amplifying misinformation.
A pure-scaling system that demonstrates robust, reliable, grounded reasoning across novel problems without any symbolic structure.