Observed Signal · May 21, 2026 · Content Correction · Source: t3n · Impact: 2/5 · Sentiment: Negative
Author's Book Contains Invented AI-Generated Quotes
The New York Times reported that Steven Rosenbaum’s book The Future of Truth: How AI Reshapes Reality contains numerous apparently AI‑invented or misattributed quotes. Rosenbaum, who disclosed using ChatGPT and Claude during research, writing and editing, acknowledged the errors, said he is working with his publisher to review and correct affected passages, and promised corrections in future editions. Examples include quotes attributed to tech journalist Kara Swisher, a passage misattributed to Lisa Feldman Barrett’s book, and a quote assigned to Meredith Broussard that actually came from a 2023 interview. The story highlights risks from LLM hallucinations and renewed concerns about AI‑assisted research and publishing quality.
Signals practical risks from LLM hallucinations in published content, undermining trust in AI-assisted research and increasing verification burdens for publishers and platforms; relevant to media quality and content safety but not industry‑shifting.
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Key Takeaways & Evidence Grounding
- Steven Rosenbaum authored The Future of Truth: How AI Reshapes Reality.
- The New York Times reported the book contains numerous apparently AI‑invented or misattributed quotes.
- Rosenbaum said he used ChatGPT and Claude for research, writing and editing.
- Rosenbaum is working with his publishers to review and correct affected passages and said future editions will be corrected.
- Specific problematic attributions cited include quotes linked to Kara Swisher, Lisa Feldman Barrett, and Meredith Broussard.
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Related Market Signals & Shifts
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Fake Bezos Quote Exposes AI Hallucinations and Fact‑Check Crisis
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Three Examples of AI Hallucinations in 2026
Gary Marcus published an opinion post on Substack (June 12, 2026) highlighting three recent examples of generative AI 'hallucinations.' The piece references an Anne Applebaum X post that calls out a KPMG report whose business case studies reportedly contained AI-generated fabrications, and cites follow-ups from 404 Media and a submission from Valerio Capraro as additional instances. Marcus uses these cases to illustrate ongoing gaps between the capabilities and the claimed reliability of contemporary large language models. The article is commentary rather than a technical or investigative report and appears on Marcus’s Substack newsletter.
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