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Orthogonal (website: orxl.org) is an AI alignment research organization focused on “agent foundations,” specifically formal-goal alignment and related theory work. Its public materials frame the core problem as designing a formalized objective (“formal goal”) that an AI system can pursue reliably, with the aim of avoiding catastrophic misalignment as systems become more capable.
Orthogonal also presents periodic technical/research outputs on its site under a “Publications” section, including posts that discuss formal-goal alignment (QACI) and other strategy/agenda topics. The organization solicits donations via a 501(c)(3) tax-deductible giving route shown on its website.
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Publications are not yet indexed for this organization. Read them on orxl.org ↗.
A listed Orthogonal publication (date shown on Orthogonal’s site) discussing epistemic states in the context of alignment/strategy.
Orthogonal: A new agent foundations alignment organizationAnnouncement of Orthogonal as a non-profit alignment research organization focused on agent foundations and QACI, including a statement of intended recruiting/hiring and funding needs.