Why AI is Harder Than We Think
A preprint by Melanie Mitchell, arXiv:2104.12871, dated 26 April 2021. arXiv v1 submission date.
- 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 Melanie Mitchell.
- Dates
- No date claim recorded yet. The source record gives the publication date as 2021-04-26.
- Exact source
- Why AI is Harder Than We Think arXiv:2104.12871 · published 2021-04-26 · Retrieved for the candidate pack on 2026-10-29 (SHA-256 6cf4c319a0d394a2e6664858a4dbb7c700c8ede94a8c3c90a830dbd4d3a0c880). arXiv v1, 26 Apr 2021.
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.
Bears on · 1
Propositions a passage comes close to without meeting the criterion; each record names what is missing.
- Capabilities will plateauMitchell's paper of April 2021 describes four fallacies that lead to overconfident predictions about AI, including the assumption that narrow advances lie on a continuum with general intelligence, and states that AI systems remain far from the general abilities that benchmark names suggest.2021-04-26 · publication · Stated in source · Supported Inspect claim & evidence ↗Capabilities will plateau: 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.