@jasongyang365: The competition paradigm is mass-producing founders. 1. Individuals with math/programming Olympiad backgrounds make up a disproportionate share of today's tech founders—founders of Hyperliquid, Cognition, Scale, Perplexity, Pika, Cartesia all come from the same circle. 2. Core…

Arrow’s information paradox states that a seller gives up knowledge to sell knowledge—the AI era has seen a mirror image: a buyer exposes knowledge to use a product.

You pay for intelligence twice: once with money, and once with something more valuable—your proprietary knowledge, and the more you want the model to perform, the more you must feed it.

Leakage isn’t data theft; it’s that every prompt, every correction, every eval is unknowingly distilled into the model provider’s know-how.

Model providers claim reasonable usage rights over public data while restricting customers from distillation and reserving the right to learn from customer usage data—learning flows one way, and value concentrates on the infrastructure side.

The trust boundary must be upgraded from “protecting information” to “protecting the learning mechanism”: Control, Capability, Choice, Cost, Compound—five actions—so that a company’s AI investment generates compound returns instead of flowing to the model provider.

Core unsolved issues: the technical realization of hard boundaries, the legal basis of “learning rights,” and the exclusion of SMEs from the trust boundary—Nadella raised the problem but did not provide an institutional path.