Daniel Demski

Abram Demski (legal first name Daniel) is an independent AI alignment researcher specializing in agent foundations. He joined MIRI (Machine Intelligence Research Institute) full-time in 2017 as part of the Agent Foundations team, a position he held until summer 2024 when MIRI pivoted toward governance, policy, and outreach. He is best known for co-authoring the "Embedded Agency" sequence with Scott Garrabrant and for his foundational contributions to the development of Logical Induction. His research focuses on deconfusion work around core concepts in AI safety including agency, optimization, trust, embedded world models, and computational uncertainty. He received a $30,000 grant from the Long-Term Future Fund in November 2019 for independent research on agent foundations, building on work developed during MIRI's Summer Fellows Program in 2017 and 2018. Since leaving MIRI he has continued independent research, currently supported through Patreon and serving as a mentor in the MATS (Machine Learning Alignment Theory Scholars) program.

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