Mastodawn

Just ran Qwen3-4B locally on LM Studio and asked "who are you?"
It said: "I am Gemini, a large language model developed by Google."
Sir. You are a 2.5GB GGUF file sitting in my RAM. You have never seen the internet. Google has no idea you exist.
Local AI is wild. 🏠🤖
#LocalAI #LMStudio #Qwen3 #LLM #AIHallucination #selfhosted

Winbuzzer May 26

https://winbuzzer.com/2026/05/26/fake-biomedical-citations-rose-12-fold-in-3-years-xcxwbn/

Fake biomedical citations have surged 12-fold in the last three years; according to an audit across 2.5 million biomedical papers

#AI #MedicalResearch #AIHallucination #Verification #Research #AIEthics

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Zuri (he/him) ❌️👑 | 🕐 CET May 20

"#AI is getting better and better!"
"Look, how far we've come!"
Yet, the percentage of participants for whom hallucinations and inaccuracies are pain point, have increased by 63%(!), let alone, truthfulness is the most requested feature with nearly 50%(!)

https://2026.stateofai.dev/en-US/risks-pain-points/

#AIHallucination #amCoding #amProgramming #StateOfAI #noAI #AIHype #softwareEngineering #softwareDevelopment #StateOfWebDev #artificialIntelligence

Andrew May 18

Wow! Over 100,000 AI-generated fake citations caught in 2025, with male names more likely for fake researchers. https://phys.org/news/2026-05-ai-generated-fake-citations-scientific.html #science #sciencenews #ai #aislop #research #peerreview #tech #aihallucination #academia #chatbot #integrity #technology

AI-generated fake citations are flooding scientific literature across publications, scientists warn

The citations at the end of a research paper should represent a solid foundation of existing knowledge about a particular field, a pool of peer-reviewed sources built over years of research and study. However, with the increasing use of AI and large language models in writing research papers, there's a growing chance that the citation someone clicks on may not even exist, and that the study, the source, or even the researchers themselves could be entirely fake.

Phys.org

Thomas Fricke (he/his)May 17

https://halupedia.com/

Just released by the https://halupedia.com/ministry-of-truth

This is all you need to know!

#ai #aislop #aihallucination

Halupedia

An encyclopedia of a universe that does not exist until you visit it.

N-gated Hacker News May 4

Ah, yet another groundbreaking revelation: AI models "hallucinate"—as if we didn't already know they embellish like a caffeinated novelist. 🤪 Who would've guessed that predicting the future involves a little guesswork? Maybe the next paper will enlighten us on water being wet. 🧐
https://arxiv.org/abs/2401.11817 #AIhallucination #AImodels #TechHumor #PredictingTheFuture #GroundbreakingRevelation #HackerNews #ngated

Hallucination is Inevitable: An Innate Limitation of Large Language Models

Hallucination has been widely recognized to be a significant drawback for large language models (LLMs). There have been many works that attempt to reduce the extent of hallucination. These efforts have mostly been empirical so far, which cannot answer the fundamental question whether it can be completely eliminated. In this paper, we formalize the problem and show that it is impossible to eliminate hallucination in LLMs. Specifically, we define a formal world where hallucination is defined as inconsistencies between a computable LLM and a computable ground truth function. By employing results from learning theory, we show that LLMs cannot learn all the computable functions and will therefore inevitably hallucinate if used as general problem solvers. Since the formal world is a part of the real world which is much more complicated, hallucinations are also inevitable for real world LLMs. Furthermore, for real world LLMs constrained by provable time complexity, we describe the hallucination-prone tasks and empirically validate our claims. Finally, using the formal world framework, we discuss the possible mechanisms and efficacies of existing hallucination mitigators as well as the practical implications on the safe deployment of LLMs.

arXiv.org