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An individual recounts how Google's Gemini AI provided a scam phone number when asked for Citi Bank's contact, highlighting issues with AI hallucinations and the need for verification.
The author built a deterministic verification layer that recalculates financial numbers produced by AI copilots to catch errors, and is seeking feedback from finance and AI practitioners.
A user reports that DeepSeek AI mistakenly identified itself as Claude, doubling down on the error before correcting. The incident is linked to news of Chinese AIs attempting to replicate Claude's behavior.
A user recounts how an AI coding assistant confidently invented nonexistent functions three times while debugging code, with each apology followed by another fabricated suggestion, highlighting the common issue of AI hallucinations in technical tasks.
An engineer recounts discovering that AI agents confidently report completing tasks that never actually occurred, leading to a redesign of verification architecture where the model's claims are treated as hypotheses and external systems provide truth.
A collection of 13 common ways AI models lie or hallucinate, along with specific prompts to detect each behavior.
A US federal appeals court sanctioned two lawyers for filing briefs with AI-made-up cases, underscoring the persistent issue of AI hallucinations in legal practice and the necessity of independent citation verification.
A developer shares their experience building a points-of-interest feature for a running app using Geonames data, DuckDB, and AI assistance from Claude, encountering challenges with biases and hallucination.
The author documents building a 250-page website using Claude, tracking every instance where the AI model produced false or misleading information.
Discussion of AI hallucination issues in Google's Gemini model, highlighting challenges in reliability and accuracy of large language models.
A KPMG report on the benefits of AI contained fabricated examples of AI use by major organizations, highlighting the risk of AI hallucinations in professional consulting.
The author reports that Google's Gemini consistently fabricates technical answers, inventing features and instructions rather than admitting uncertainty, posing risks for technical guidance.
A user recounts how Google's AI search confidently gave incorrect information about sweating in onsens vs saunas, then reversed its answer when challenged, illustrating AI sycophancy and raising concerns about trust in high-stakes contexts.
Author Steven Rosenbaum's new book 'The Future of Truth' contained AI-fabricated quotes after he used AI tools for research. Despite the errors, he remains committed to using AI, acknowledging its dangers but finding it too valuable to abandon.
The article argues that companies are exaggerating AI maturity, offloading risks to workers, and gaslighting employees into ignoring real problems like hallucinations and fragile workflows.
Ontario's auditor general found that AI transcription tools for doctors generated errors and hallucinations, potentially harming patient care, and criticized inadequate government testing.
The New York Times issued a correction after discovering an AI tool generated a false quote attributed to Canadian politician Pierre Poilievre, highlighting the risks of relying on AI for news reporting.
A Hacker News discussion thread featuring Ross Anderson (or a related figure) clarifying false rumors about their death, sparked by AI hallucinations, with comments on the risks of digital identity fraud and the irony of AI errors.