Because AI models cannot effectively train themselves on their own output, known as synthetic data, they require the regular infusion of new training data to evolve and maintain integrity.

As the discipline advances, Ether0’s synergy of Q&A-guided training, chain-of-thought clarity, and data frugality represents a new standard for what is possible in scientific reasoning models.