Please log in to bookmark this story. Log In Create Free Account A team of technology experts issued a global call on Monday seeking the toughest questions to pose to artificial intelligence systems, which increasingly have handled popular benchmark tests like child’s play. Dubbed “Humanity’s Last Exam,” the project seeks to determine when expert-level AI has arrived. It aims to stay relevant even as capabilities advance in future years, according to the organizers, a non-profit called the Center for AI Safety (CAIS) and the startup Scale AI. The call comes days after the maker of ChatGPT previewed a new model, known as OpenAI o1, which “destroyed the most popular reasoning benchmarks,” said Dan Hendrycks, executive director of CAIS and an adviser to Elon Musk’s xAI startup. Mr. Hendrycks co-authored two 2021 papers that proposed tests of AI systems that are now widely used, one quizzing them on undergraduate-level knowledge of topics such as U.S. history, the other probing models’ ability to reason through competition-level math. The undergraduate-style test has more downloads from the online AI hub Hugging Face than any such dataset. At the time of those papers, AI was giving almost random answers to questions on the exams. “They’re now crushed,” Mr. Hendrycks told Reuters. As one example, the Claude models from the AI lab Anthropic have gone from scoring about 77 per cent on the undergraduate-level test in 2023, to nearly 89 per cent a year later, according to a prominent capabilities leaderboard. These common benchmarks have less meaning as a result. AI has appeared to score poorly on lesser-used tests involving plan formulation and visual pattern-recognition puzzles, according to Stanford University’s AI Index Report from April. OpenAI o1 scored around 21 per cent on one version of the pattern-recognition ARC-AGI test, for instance, the ARC organizers said on Friday. Some AI researchers argue that results such as this show planning and abstract reasoning to be better measures of intelligence, though Mr. Hendrycks said the visual aspect of ARC makes it less suited to assessing language models. “Humanity’s Last Exam” will require abstract reasoning, he said. Answers from common benchmarks may also have ended up in data used to train AI systems, industry observers have said. Mr. Hendrycks said some questions on “Humanity’s Last Exam” will remain private to make sure AI systems’ answers are not from memorization. The exam will include at least 1,000 crowd-sourced questions due Nov. 1 that are hard for non-experts to answer. These will undergo peer review, with winning submissions offered co-authorship and up to $5,000 prizes sponsored by Scale AI. “We desperately need harder tests for expert-level models to measure the rapid progress of AI,” said Alexandr Wang, Scale’s CEO. One restriction: the organizers want no questions about weapons, which some say would be too dangerous for AI to study. Please enable JavaScript to view this content.