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

  1. What a year of testing & thinking about AI academic search taught me https:// aarontay.substack.com/p/what-a -year-of-testing-and-thinking # AI # search # libra

    A year of experimenting with AI academic search tools has revealed significant limitations and areas for improvement. The author found that current AI tools struggle with accuracy, often hallucinating citations and misinterpreting complex queries. While promising, these tools require substantial development to become reliable resources for academic research. AI

    IMPACT Current AI academic search tools require significant development to overcome issues with accuracy and hallucination before they can be reliably used by researchers.