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LLM outputs may be characterised as bullshit, in the sense of being produced without regard for truth.
“In this respect, their outputs may be characterised as”
From Authenticity and Authorship Beyond the Algorithm: Action, Institution, and Epistemic Responsibility under Generative AI (2026) · cites this paper as Frankfurt, 2005
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- Authors
- Frankfurt, H. G.
- Corresponding author
- Frankfurt, Harry G.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2005-12-31
- OpenAlex
- W4250088333
- Cited by
- 1,175
- References
- 0
- Citations by year
- 2026: 161 · 2025: 146 · 2024: 128 · 2023: 74 · 2022: 74 · 2021: 95 · 2020: 103 · 2019: 53 · 2018: 63 · 2017: 34 · 2016: 25 · 2015: 29 · 2014: 21 · 2013: 23 · 2012: 34
- FWCI
- 41.83
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Princeton University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Philosophical Ethics and Theory
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › General Social Sciences › Philosophical Thought and Analysis
- Keywords
- bullshit, deception, epistemology
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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