Google DeepMind's AlphaProof Nexus has made significant strides in the field of mathematics by autonomously solving nine open Erdős problems, including two that had remained unsolved for 56 years. Remarkably, this achievement was accomplished at an inference cost of only a few hundred dollars per problem. Unlike the natural-language models employed by OpenAI, AlphaProof Nexus utilizes the Lean compiler to automatically verify each proof step, enhancing the reliability of its results. However, it is important to note that the overall success rate remains relatively low at just 2.5 percent. This development raises questions about the future of mathematical research and the potential for AI to assist in solving complex problems. A final assessment of its implications would be premature at this point, as further exploration of its capabilities and limitations is necessary.