Many Arguments for AI X-Risk Are Wrong
A blog post by Alexander Matt Turner, The Pond, dated 5 March 2024. "Published on March 5th, 2024" on the author's page.
- Issued by
- No issuing record yet. A missing record is a gap in coverage.
- Authors credited
- No authorship claim recorded yet. The source record lists Alexander Matt Turner.
- Dates
- No date claim recorded yet. The source record gives the publication date as 2024-03-05.
- Exact source
- Many Arguments for AI X-Risk Are Wrong The Pond (turntrout.com), the author's site · published 2024-03-05 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 9af4caa770887c53ef76c228ecdb4bcb43d0e1d3676d717eff4b97523459c201). Current page as served on 2026-10-29 at turntrout.com/invalid-ai-risk-arguments: "Published on March 5th, 2024", "Updated on August 19th, 2026"; the LessWrong copy of March 2024 could not be retrieved (HTTP 403).
Appears in
- Arguments about catastrophic risk from advanced AI →1 record on this document
Versions
No other versions of this document are recorded. The evidence applies to the source version listed above. Other versions, such as a preprint, working paper or journal publication, are not identified or substituted.
Documentary relations
Each relation is listed separately. Citing, crediting and reporting the use of a method are different acts, and none of them shows agreement or influence by itself.
Contests · 1
Propositions a passage of this document disputes, or a premise they depend on.
- Inner or deceptive misalignmentTurner's post of March 2024 argues that the counting arguments for deceptively aligned or scheming AI provide about zero evidence that pretraining followed by RLHF will produce an intrinsically unsafe system.2024-03-05 · publication · Stated in source · Supported Inspect claim & evidence ↗Inner or deceptive misalignment: propositions page →
Not recorded for this document: cites · cited by · explicitly credits · reports using a method from · method reported as used by · applies parts of · parts applied by · discusses · reports evaluation of. A missing record does not show that the relation does not exist.