All articles tagged with #hallucinations
AI tools are increasingly shaping expert work and seeping into the permanent knowledge base, raising concerns about credible outputs, the provenance of information, and the need for human oversight and audit trails to prevent plausible but false content from becoming accepted knowledge.
arXiv announced it can ban authors for up to a year if their papers contain AI-generated hallucinated references, illustrating a push to hold researchers accountable for AI-assisted content. While the policy clarifies that authors are responsible for all material, many academics argue the standard is overly strict and difficult to verify, given language barriers and potential copy-paste errors in long papers. The debate highlights growing tensions over AI's role in scholarly publishing and the need for rigorous verification of AI-generated claims.
Ryan Reynolds opens up about his father’s Parkinson’s diagnosis and the disease’s often overlooked psychotic symptoms—hallucinations and delusions—that affect many patients. He’s championed More to Parkinson’s with Acadia Pharmaceuticals to raise awareness and discuss treatments like pimavanserin (Nuplazid). Neurologists note that 50%+ of people with Parkinson’s may experience such symptoms, underscoring the importance of open dialogue to reduce stigma. The piece also covers caregiver fatigue, practical guidance for families (reassure, acknowledge, redirect), and the NIH-funded Persevere trial to mentor new care partners, while highlighting the broader message that discussing these issues can improve care and outcomes.
Ryan Reynolds reveals how his father James, diagnosed with Parkinson’s at 52, later developed vivid hallucinations and delusions that doctors initially attributed to other causes, leaving his wife Tammy an overwhelmed caregiver. He details the loneliness and miscommunication around non-motor PD symptoms, the dangers of older antipsychotics for PD patients, and the shift to newer, safer treatments. Reynolds reflects on their strained relationship, the care his family provided, and his advocacy for awareness through the Michael J. Fox Foundation, urging others to openly discuss cognitive symptoms to improve empathy and quality of life for patients and caregivers.
TikTok is halting further testing of an AI feature that added text summaries to videos after the tool produced frequent inaccurate and silly captions (e.g., Charli D'Amelio described as blueberries). The company says it will refocus the feature on identifying products in videos and restrict the rollout to a limited experimental group in the US and a few other markets.
The article explains that some people can spot a hidden baby in a blotchy image, illustrating how the brain constructs reality through pattern recognition and context. Citing a 2015 Cambridge study, it discusses how predictive brain processes can make people see what isn’t there, linking this to mild hallucinations while noting such perceptual guessing is common and not necessarily a sign of illness. It also suggests seeing the hidden figure reflects cognitive flexibility and observational skill rather than a mental health issue.
A partner at Sullivan & Cromwell apologizes to a Manhattan bankruptcy judge after a court filing contained AI hallucinations and fake citations; the firm says safeguards failed, will submit a corrected filing, and notes AI errors in legal submissions are increasingly common.
Microsoft’s Copilot is reportedly described in its terms as being for entertainment purposes only, a phrasing Microsoft says is legacy and will be updated; critics warn about reliability and liability as AI tools like Copilot are embedded in Windows apps.
Google’s AI-powered search overviews are often accurate in tests, but the sheer scale of roughly 5 trillion queries per year means even a small error rate could yield millions of incorrect answers daily. Oumi pegged Gemini 2 at 85% accuracy and Gemini 3 at 91%, yet Google’s own testing reports 28% hallucinations when Gemini runs outside Search. Discrepancies between overviews and their cited sources increased after the February update, highlighting ongoing risks that AI summaries can mislead and should be double-checked.
Memvid, a California startup, is offering $800 for an eight-hour gig to challenge leading AI chatbots, documenting how they lose memory, repeat questions, or hallucinate as a way to expose reliability gaps in current systems and spur safer design; the role requires no AI expertise, only patience and an ability to critique the tech, reflecting broader concerns about AI safety in law, healthcare, and everyday use.
In Yunnan, eating Lanmaoa asiatica triggers hundreds of poisoning cases annually, with patients reporting nearly identical lilliputian visions of tiny people; the active compound remains unidentified (not psilocybin), and researchers are using mice to narrow down candidates, while the phenomenon is not leading to deaths or lasting damage.
In Shrinking season 3 episode 1, Paul’s Parkinson’s progresses to the point where he hallucinates Gerry (Michael J. Fox) at the wedding cake, a scene that echoes an earlier clinic moment and signals the disease’s encroachment on more aspects of his life. The episode leaves viewers questioning whether Paul has been hallucinating all along, highlighting the painful, non-motor toll of Parkinson's as his world—and his marriage—are affected.
A non-peer-reviewed paper argues that large language model–based AI agents cannot reliably perform complex computational or agentic tasks and are prone to hallucinations, though experts say guardrails and modular components can mitigate these limits.
A University of Cologne plant-science professor recounts losing two years of structured work after disabling ChatGPT’s data-sharing option, with chats disappearing instantly and no undo, prompting warnings about AI reliability in serious research, while OpenAI says chats can't be recovered and recommends backups; the incident adds to concerns about AI-generated content in science and underscores the need for caution and local backups.
Alaska's court system faced significant challenges in developing an AI chatbot, AVA, intended to assist with probate procedures, due to issues like inaccuracies, hallucinations, and reliability concerns, highlighting broader difficulties in applying AI for high-stakes government services.