Redefining AI Benchmarks

This chapter explores the challenges and limitations of current benchmarking methods in AI research, advocating for more meaningful evaluations that reflect real-world complexities. It emphasizes the necessity of developing rigorous benchmarks to accurately assess AI advancements, particularly in fields like mathematics, while also addressing the broader implications of AI on the economy and job market.