What sets it apart from other AI models is its ‘test-time scaling,’ a technique that allows it to iterate its responses by dynamically using additional computational resources during testing. Reportedly,

AI researchers at Stanford and the University of Washington were able to train an AI "reasoning" model for under $50 in cloud compute credits, according

A team of researchers at Stanford and the University of Washington have developed an AI reasoning model, s1, for less than $50. This is a massive achievement, given the notion that significant financial resources are essential for developing AI reasoning models.