Researchers are proving that small open source models, using a well-established algorithm, can compete successfully with proprietary frontier models. Large language models continue to improve through larger architectures and more training data, but recent evidence suggests diminishing returns from scaling model size alone. A complementary approach—inference-time scaling (ITS)—allocates more computation during inference to improve performance […]