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Thursday, April 30, 2026

“AI Uncovers Multiple Authors of Bible’s Oldest Texts”

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A team of experts has utilized cutting-edge artificial intelligence (AI) technology to uncover hidden language patterns and identify potential authors of some of the Bible’s oldest texts. Led by Duke University in the US, the international researchers conducted a detailed analysis of the initial nine books of the Hebrew Bible, known as Enneateuch, employing advanced linguistic techniques and a specially developed AI model. Through their investigation, they identified distinct writing styles that indicate multiple authors or groups of scribes contributed to these sacred writings, providing new insights into longstanding debates on the origins of the Bible.

According to Professor Thomas Römer from the ColleÌ€ge de France, who was part of the research team, each group of authors demonstrated unique styles, even in the use of common words like ‘no,’ ‘which,’ or ‘king,’ which the AI model accurately distinguished. The project was initiated by mathematician Shira Faigenbaum-Golovin, who began her research in 2010 by studying ancient inscriptions on pottery fragments from 600 BC, aiming to date texts from the Old Testament. Faigenbaum-Golovin assembled a diverse team of mathematicians, archaeologists, linguists, and computer scientists to blend scientific methodologies with biblical analysis.

Through the AI model, the researchers categorized the text into three primary writing styles: the Priestly source, the Deuteronomistic History, and the Book of Deuteronomy itself. While most sections aligned with these categories, the discovery of discrepancies in the Ark Narrative in 1 Samuel suggested the presence of additional unknown authors in the Bible’s composition. The team believes that their approach could be extended to analyze other historical documents effectively.

Looking ahead, Faigenbaum-Golovin emphasized the potential for applying this methodology to explore further revelations about ancient texts beyond the Bible. The team’s findings, which have been published in the journal PLOS One, offer significant evidence of distinct linguistic characteristics in biblical writings that can be automatically identified, opening up new avenues for resolving debates in biblical studies. The researchers are now contemplating using their innovative approach to unlock fresh insights into various ancient texts, highlighting the fruitful collaboration between scientific research and the humanities in advancing knowledge boundaries.

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