A formal mechanism is presented in which a willing regulator-matchmaker fosters cooperation on resources among participants in the AGI race, collects a Pigouvian tax based on the speed-up it induces, and invests the proceeds into alignment research. The construction is derived in the continuous-time options framework of Tan (2025) in which cooperation is treated as a jump in the underlying asset value of participating players, the Pigouvian component is matched to the marginal effect of increasing expected loss, and the total collected fund endogenizes the rate of learning on safety. It is shown how the framework allows for determining participation and optimal activity levels. Conditions under which it is optimal to enter the market are derived, and it is proven that if the orthogonality condition holds between the supported portfolio and the abilities component, the Suicide Region collapses at finite time, and the upper bound for this time is derived as sum of a deterministic and random term. Finally, if orthogonality is violated, it is proven that enhancing matchmaker capacity does not recover the market's superiority. The construction links research areas including two-sided markets, Pigouvian taxes, self-regulatory organizations, private law enforcement, evolutionary modeling of AI races, real options and option games, measurement of comparative progress and analysis of the Suicide Region.

翻译：本文提出一种正式机制：有意愿的监管者-匹配机构通过促进通用人工智能（AGI）竞赛参与者之间的资源合作，依据其导致的加速效应征收庇古税，并将所获收益投入人工智能安全对齐研究。该构建基于Tan（2025）的连续时间期权框架，其中合作被视为参与方标的资产价值的跳跃，庇古成分与预期损失边际增量的影响相匹配，所募集资金则内生化安全知识的学习速率。本文展示了该框架如何确定参与及最优活动水平，推导了进入市场的最优条件，并证明：若支持的投资组合与能力成分之间满足正交条件，则自杀区域将在有限时间内坍缩，且该时间上界可表示为确定性项与随机项之和。最后，若正交条件被违反，则证明增强匹配机构能力无法恢复市场优越性。该构建将以下研究领域相关联：双边市场、庇古税、自律组织、私人执法、人工智能竞赛演化建模、实物期权与期权博弈、比较进展度量及自杀区域分析。