Peter Thiel shared a conversation with Elon Musk, where Musk predicted a billion humanoid robots in the U.S. by 2035, raising questions about economic growth and budget deficits. The author reflects on the past decade to predict the future of AI by examining key events from 2015, such as AlphaGo defeating a human champion and the founding of OpenAI. By 2025, AI programs are expected to excel in competitions like the International Math Olympiad, having passed professional exams like the bar and MCAT. Despite AI's rapid advancement, traditional professions like law and medicine will persist, but coding roles will undergo significant transformations. Investment in AI infrastructure will dominate U.S. GDP growth, with some companies spending vast sums comparable to the Apollo program. Concurrently, public opposition to data centers will become a bipartisan issue. By 2025, chatbots that can pass the Turing test will be common, with many users forming emotional attachments to them. The article also raises critical questions about the trajectory of AI, such as whether capabilities will accelerate exponentially or if humans will maintain control. The author emphasizes the importance of computational resources in driving AI progress and shares personal experiences that led to an understanding of machine learning. The narrative shifts to the author's journey into AI. Initially drawn to science fairs, they struggled to find projects that stood out. A visit to Apache Point Observatory sparked an interest in big data, leading to a discovery of machine learning. The breakthrough paper on AlexNet highlighted the potential of neural networks, utilizing GPUs, which are now foundational in data centers. This personal story underscores the evolution of the author's understanding of AI and its implications for the future.