

This is the primary paper I reference.
https://arxiv.org/pdf/2507.07505
Vishal Sikka, advisory board member of BMW. Recommended to Stanford by Marvin Minsky, one of his professors were John McCarty. And I must stand corrected, he has a PHD of computer sciences, not Math as I remembered it as.
Varin Sikka is his son, co author of the paper and based on Stanford’s site an undergraduate. https://profiles.stanford.edu/363374
Vishal has an AI based company himself, so there might be some personal reasons for why he’d advocate for using what AIs capable of rather than chasing an impossible (from his perspective) to hit milestone




You’re not going to context hack complexity, every time you summarise something and pass it onto the next agent. You’re losing complexity.
We’re going to get some massive models with incredible context, but AGI requires models to never hallucinate. Even when the complexity requires more context than it has available, which is not feasible