Stanford's AI Index: machines are running out of tests to beat
Stanford’s HAI just released its seventh annual AI Index report, revealing that AI has surpassed or matched human baselines across almost all traditional benchmarks. In competition math alone, model accuracy jumped from 6.9% to 84.3% in two years, leaving researchers scrambling to design harder tests. Why it matters: Systems are mastering existing exams so fast that we now need new tests simply to see where humans still hold an edge.