Human intelligence is emerging as a crucial factor in advancing AI, particularly in coding and reasoning tasks. As models improve their coding abilities, they also enhance their performance in various domains, including math and logical reasoning. Techniques like process supervision highlight the importance of human-endorsed reasoning chains, while domain-specific knowledge is essential for applying generative AI effectively in business workflows. The challenge lies in finding ways to leverage and integrate human intelligence into these models.
