ryan Reimer, a research scientist at MIT, argues that the current frenzy surrounding artificial intelligence often neglects the most crucial element of technological integration: the human being. The central claim is that we must shift our focus from mere automation to human-centric AI design, ensuring that tools serve to augment rather than replace our capabilities. Rather than being enamored by the sheer power of generative AI, Reimer suggests that we evaluate these technologies based on their actual utility in solving mobility and professional challenges. He posits that we are currently on a 'bumpy road' where the rapid deployment of autonomous technologies has outpaced our ability to establish robust policy frameworks and maintain consumer trust. The conversation underscores that without a blend of business-driven innovation and societal-good frameworks, we risk eroding public confidence, which is difficult to rebuild once lost. Reimer emphasizes that we should treat AI as a 'collaborative tool'—a co-pilot—rather than a replacement for human judgment and creativity. By viewing AI output as a 'good opinion' rather than absolute fact, users can better leverage these systems as research and productivity assistants, similar to how we once consulted various experts in a library. Ultimately, the success of AI depends on our willingness to prioritize the 'wet computer'—the human brain—to guide and critically evaluate these systems to ensure they align with our societal needs.