For years, the discourse around poker AI has been dominated by the concept of solvers and the pursuit of unexploitable, machine-perfect play. This paper challenges that orthodoxy. It presents Patrick, an AI built on the contrary philosophy: that the path to victory lies not in being unexploitable, but in being maximally exploitative. Patrick's architecture is a purpose-built engine for understanding and attacking the flawed, psychological, and often irrational nature of human opponents. Through detailed analysis of its design, its novel prediction-anchored learning method, and its profitable performance in a 64,267-hand trial, this paper makes the case that the solved myth is a distraction from the real, far more interesting challenge: creating AI that can master the art of human imperfection.

翻译：多年来，关于扑克人工智能的讨论一直由求解器概念以及对无懈可击、机器完美博弈的追求所主导。本文挑战了这一传统观念。它介绍了Patrick——一个基于相反哲学构建的人工智能：胜利之路不在于无懈可击，而在于最大限度地利用对手弱点。Patrick的架构是一个专门设计的引擎，旨在理解并攻击人类对手存在缺陷、心理化且常非理性的本质。通过对其设计细节、新颖的预测锚定学习方法以及在64,267手牌试验中盈利表现的分析，本文论证了“已求解”的神话偏离了真正且更具挑战性的目标：创造能够掌握人类不完美博弈艺术的人工智能。