SAIR competition: Andrew-Curtis challenge The SAIR Foundation and Caltech's Math-AI group opened the Andrews–Curtis Conjecture Challenge today, organized by Sergei Gukov, Terence Tao, and Lucas Fagan, to apply reinforcement learning and combinatorial search to the open problem in combinatorial group theory. The organizers note that the Akbulut–Kirby family remains the most notable potential counterexample, with AC-triviality open for the case of total relator length 12 on two generators, and that Bridson has given a four-generator presentation requiring more than 10^10 moves to trivialize. The challenge also covers the stable Andrews–Curtis conjecture, which adds moves AC4 and AC5 for adding and removing a generator and its matching relator. This is a guest post by Lucas Fagan https://math.ucsb.edu/people/lucas-fagan . This blog post was initially written in a different file format and converted using AI. — T. I am excited to announce the Andrews–Curtis Conjecture Challenge https://competition.sair.foundation/competitions/acc , which opens today. This challenge is a collaboration between the SAIR Foundation https://sair.foundation/ and the Math-AI group at Caltech https://math-ai.caltech.edu/ , organized by Sergei Gukov, Terence Tao, and myself. The Andrews–Curtis conjecture is one of the most prominent open problems in combinatorial group theory and also has deep connections to low-dimensional topology. Its potential counterexamples are relevant to the search for exotic smooth four-spheres and the smooth four-dimensional Poincaré conjecture https://arxiv.org/abs/0906.5177 , as well as the Generalized Property R conjecture about surgery on links https://doi.org/10.2140/gt.2010.14.2305 . Yet unlike many open problems at its level, Andrews–Curtis can be formulated as a combinatorial search problem with easily checkable solutions, making it ideal for a challenge of this form. At Caltech, we have been developing reinforcement learning and combinatorial search methods for this problem to resolve potential counterexamples see What makes math problems hard for reinforcement learning: a case study https://arxiv.org/abs/2408.15332 and The Two-Hump Problem https://arxiv.org/abs/2606.21611 . However, many important cases have resisted all our efforts. We hope that this challenge will lead to resolving these and more or disproving the conjecture , especially given the recent progress in AI. We give more details about the different tracks of the competition below. To briefly introduce the problem: the Andrews–Curtis conjecture https://doi.org/10.1090/S0002-9939-1965-0173241-8 says that any balanced presentation of the trivial group can be transformed to the trivial presentation using the following moves which do not change the underlying group : - AC1 Invert a relator: . - AC2 Multiply a relator by another: for some . - AC3 Conjugate a relator by a generator or its inverse: for some . Two presentations connected by these moves are called AC-equivalent ; a presentation that is AC-equivalent to the trivial presentation is called AC-trivial . As a simple example, is AC-trivial: It is generally suspected that the conjecture is false https://arxiv.org/abs/math/0302080 ; there are many simple potential counterexamples in which all computational efforts have failed to find a path to the trivial presentation. The most notable of these is the Akbulut–Kirby family