He sees every project, whether research, engineering work, or community involvement, as one step in a broader path toward developing AI systems that offer sustained value. Freelance work and peer teaching followed naturally, reinforcing his sense that explaining ideas can deepen technical understanding. He views this research as preparation for building AI systems that behave reliably in dynamic environments. Alongside formal research, Tony contributes to open technical projects that translate abstract ideas into usable tools. As Tony Siu continues refining his expertise in agentic systems, multimodal models, and optimization, he remains focused on depth.