OpenAI’s path toward building versatile AI agents began with a research team called MathGen, which focused on improving the models’ reasoning skills – starting with math. This work led to the creation of o1, a powerful reasoning model that became the foundation for agents capable of handling complex tasks like a human.
Using reinforcement learning, chain-of-thought methods, and new training approaches, the models have significantly improved. While current agents still struggle with subjective tasks, OpenAI is testing new techniques to address those challenges. The ultimate goal: to develop a universal, intuitive AI – before Google, Anthropic, Meta, or xAI get there first.