Category: Blog
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Rethinking Peer Review in the Age of AI
Peer review is essential to research, but it is also under growing pressure. Researchers face increasing publication volumes, more complex methods and data, and significant demands on the time of qualified reviewers. Against this backdrop, AI is beginning to find a potentially valuable role: not replacing peer reviewers but helping them focus their expertise where…
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When Four AI Models Agree, They Can Still Be Wrong
New research shows why agreement among AI models is a useful signal for human review, but not a substitute for judgment. More AI models, fewer mistakes? Imagine asking an AI model whether a law protects people’s data in a particular way. The model says yes and points to a passage in the legislation. You ask…
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Three ways to make Zotero talk back
Zotero‘s search is exact: it matches the words you typed against the words in your library. It has no way to answer “did I already save something that argues X drives Y,” no way to read six papers and summarize them back to you, and no way to draft a related-work section on a topic…
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Why AI Scaling Hits a Wall: The Hidden Ceiling Behind Large Language Models
Editorial Note: The visual figures embedded in this article are conceptual diagrams created to intuitively illustrate the geometric and mathematical principles established in the cited MIT research [3], rather than figures taken directly from the original publications For the past decade, the dominant heuristic in artificial intelligence has been straightforward: bigger models yield smarter behavior…