In July 2024, significant developments in mathematics occurred as a machine solved a problem that had been open since 1939, verified by another machine. This event marked a shift from AI being seen as mere marketing hype to demonstrating real discovery capabilities. In May, an OpenAI model resolved a mathematical conjecture posed by Paul Erdős 80 years earlier, presenting a novel solution that challenged existing assumptions. Additionally, a Stanford team created a platform where AI agents collaboratively worked on unsolved problems, producing results superior to those achieved by humans or previous machines. Meanwhile, in the financial sector, Alphabet and Tesla exceeded earnings expectations but faced market backlash due to increased spending on AI research. The article highlights the growing impact of AI in scientific discovery while noting the challenges of valuing such advancements in traditional financial metrics.
Bias read (Center): The article focuses on technological advancements in artificial intelligence and their implications for scientific discovery and financial markets. It does not engage with political issues, policies, or figures directly. The content is descriptive and analytical, emphasizing technical achievements,機





