Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The Turing test is not a good benchmark for thought in LLMs

Bibliographic Data

ID4681020
AuthorsTim Bayne (0000-0001-8591-7907, Canadian Institute for Advanced Research, corresponding author), Iwan Williams (0000-0003-0582-0983, Monash University)
Year2023
Volume7
Issue11
Pages1806-1807
Publication date2023-11-20
Open AccessYes
TypeARTICLE
VenueNature Human Behaviour (JOURNAL)
Journal identifiersISSN: 2397-3374 • E-ISSN: 2397-3374
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1038/s41562-023-01710-w
PMID37985901
OpenAlexW4388824487
LanguageEN
Citations received4
References cited6

Biology · Geography · Turing test · Computability, Logic, AI Algorithms · Computer Science · Explainable Artificial Intelligence (XAI · Psychology · Reinforcement Learning in Robotics · Artificial Intelligence · Ecology

  • Transforming agency

    Open Access•Xabier E Barandiaran, Lola S Almendros•Phenomenology and the Cognitive…•2025

  • Transforming phenomenological sociology for virtual personalities and virtual worlds

    Open Access•Kazuhiko Shibuya•AI & Society•2025

  • Explanation, understanding, and the methodological problem in consciousness science

    Open Access•Andy Mckilliam•Synthese•2025

  • Co‐textual dopes

    Open Access•Ole Pütz•Journal of Linguistic Anthropology•2026

  • The debate over understanding in AI’s large language models

    Open Access•Melanie Mitchell, David C Krakauer•Proceedings of the National…•2023

  • I.—computing Machinery and Intelligence

    A M TURING, Alan Turing•Mind•1950

  • Sharing Our Concepts with Machines

    Open Access•Patrick Butlin•Erkenntnis•2023

  • Psychologism and Behaviorism

    Ned Block•The Philosophical Review•1981

Citations per year4
Citation span2025 - 2026 (2)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae