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Dead Sea Scrolls get jaw-dropping twist due to AI 'time machine'

Cutting-edge artificial intelligence technology has fundamentally transformed Dead Sea Scrolls research, revealing that many of these ancient biblical manuscripts are centuries older than previously established and potentially contemporary with their original authors.

by  Erez Linn
Published on  06-05-2025 06:31
Last modified: 06-05-2025 08:41
Dead Sea Scrolls get jaw-dropping twist due to AI 'time machine'Lior Mizrahi

The Dead Sea Scrolls | Photo: Lior Mizrahi

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Revolutionary artificial intelligence analysis has revealed that numerous Dead Sea Scrolls are considerably more ancient than scholars previously determined, with several biblical manuscripts potentially dating to the era of their original authors, according to groundbreaking research findings.

Bedouin shepherds initially uncovered the first ancient manuscripts in Qumran's caves within the Judean desert during the mid-20th century. The Guardian reported that these documents encompass everything from legal paperwork to Hebrew Bible portions, with scholars traditionally placing their origins between the third century BCE and second century CE.

Researchers have now employed artificial intelligence technology to extract new information regarding the dating of specific scrolls – discoveries that specialists believe could revolutionize understanding about the timing, location, and authorship of these ancient texts. The Guardian noted that the findings represent a significant advancement in biblical archaeology.

"It's like a time machine. So we can shake hands with these people from 2,000 years ago, and we can put them in time much better now," stated Professor Mladen Popović, the study's lead author from the University of Groningen in the Netherlands.

Researchers examine artifacts in the Judean Desert in 2021 (Shai Halevi / IAA)

Although certain scrolls underwent radiocarbon dating during the 1990s, Popović explained that researchers failed to address castor oil contamination issues – a substance applied in the 1950s to enhance manuscript readability, which could distort dating results.

Furthermore, many manuscripts had only received dating through handwriting analysis methods. The Guardian reported that this traditional approach proved less accurate than the new AI-enhanced techniques.

Publishing their findings in the journal Plos One, the research team described their radiocarbon dating attempts on 30 specimens from various manuscripts discovered at four locations and believed to span five centuries. Significantly, researchers initially cleaned all specimens to eliminate castor oil contamination.

The scientists successfully radiocarbon-dated 27 specimens, discovering that while two proved younger than handwriting analysis indicated, many were substantially older than previously thought.

Among additional discoveries, researchers found that two distinct writing styles – identified as Hasmonean and Herodian scripts – coexisted for a much more extended period than scholars had believed, while a specimen from manuscript 4Q114 containing Daniel verses was older than traditional palaeography suggested.

"It was previously dated to the late second century BCE, a generation after the author of the Book of Daniel. Now, with our study we move back in time contemporary to that author," Popović explained.

The team subsequently utilized machine learning artificial intelligence to construct a model they named Enoch – referencing a biblical figure connected with scientific knowledge. Researchers trained Enoch by providing it with 62 digital images of ink traces from 24 radiocarbon-dated manuscripts, along with their carbon-14 dates.

They then validated the model by presenting Enoch with an additional 13 images from identical manuscripts. In 85% of instances, the model generated ages that corresponded with radiocarbon dates, and frequently produced narrower probable date ranges than radiocarbon dating alone achieved.

"What we have created is a very robust tool that is empirically based – based on physics and on geometry," Popović stated.

When researchers presented Enoch with images from 135 undated manuscripts it had never encountered, it realistically dated 79% of them – as determined by expert palaeographers. Popović added that those deemed unrealistic might have contained problematic data, including poor-quality images.

The system has already generated new insights, including that an Ecclesiastes copy dates from the presumed author's era. Popović noted that Enoch enables further scroll dating without radiocarbon dating – a process requiring small sample destruction. "There are more than 1,000 Dead Sea scrolls manuscripts so our study is a first but significant step, opening a door unto history with new possibilities for research," he stated.

Visitors float on the water of the Dead Sea in the Israeli resort town of Ein Bokek on June 13, 2023 (AFP / Jewel Samad)

Professor emerita Joan Taylor from King's College London indicated the results would significantly impact Qumran studies. "These results mean that most of the manuscripts found in the caves near Qumran would not have been written at the site of Qumran, which was not occupied until later," she explained.

However, Dr. Matthew Collins from the University of Chester warned that radiocarbon dating only illuminates parchment age, not when writing occurred, while questions remain about how stylistically representative the limited training samples were for different historical periods.

"Overall, this is an important and welcome study, and one which may provide us with a significant new tool in our armory for dating these texts," he stated. "Nevertheless, it's one that we should adopt with caution, and in careful conjunction with other evidence."

Tags: artificial intelligenceDead Sea ScrollsHebrew Bible

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