Power-seeking can be probable and predictive for trained agents
A preprint by Victoria Krakovna and Janos Kramar, arXiv, dated 13 April 2023. The arXiv v1 stamp reads 13 Apr 2023.
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- Power-seeking can be probable and predictive for trained agents arXiv (2304.06528v1) · published 2023-04-13 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 fb4a67296bdcdd624be8ec8f117af466b04a4249571873f67e3fba736bf6e69d). arXiv v1 of 13 April 2023. The cross-family check retrieved it again on 2026-10-31, with the same bytes.
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- Arguments about catastrophic risk from advanced AI →1 record on this document
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- Instrumental convergenceKrakovna and Kramar's paper of 13 April 2023 (arXiv v1) states a proof that, under simplifying assumptions, a trained agent facing a choice to shut down or avoid shutdown in a new situation is likely to avoid shutdown.2023-04-13 · publication · Stated in source · Supported Inspect claim & evidence ↗Instrumental convergence: propositions page →
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