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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · Forbes — Innovation English(EN) ·

    E-Cigarettes Can Help You Quit Smoking, New Study Suggests

    A new study published in JAMA Network Open suggests that e-cigarettes containing nicotine can significantly aid smokers in quitting traditional cigarettes. The research found that participants using nicotine e-cigarettes were three times more likely to quit smoking within six weeks compared to those using nicotine-free versions. This study also indicated lower exposure to harmful chemicals among users of nicotine e-cigarettes, supporting their potential role in smoking cessation for adults who have not succeeded with other methods. AI

    E-Cigarettes Can Help You Quit Smoking, New Study Suggests
  2. RESEARCH · arXiv cs.CL English(EN) · · [16 sources]

    Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic Writing

    A new study published on arXiv investigated the hallucination tendencies of four popular LLMs—ChatGPT, Grok, Gemini, and Copilot—when used for academic writing. The research introduced a "Hallucination Index" (HI) and found that Grok and Copilot performed better in reference generation but struggled with abstract prompts, while Gemini and ChatGPT showed better tone control but higher factual hallucination risks. The study concluded that hallucination behavior is influenced by task type and prompting conditions, not solely by model architecture. Separately, Gary Marcus highlighted multiple studies indicating that current LLMs are unreliable for medical advice, often providing inaccurate or fabricated information with high confidence, and should not be used for unsupervised clinical decision-making. AI

    Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic Writing

    IMPACT LLM hallucinations in academic and medical contexts pose risks of misinformation and unreliable decision-making, highlighting the need for caution and further research.