Dead Sea Scrolls Age: New Evidence?
- A new artificial intelligence model named Enoch is providing fresh perspectives on the dating of the Dead sea Scrolls,potentially reshaping our understanding of ancient Jewish history and biblical...
- Enoch's development stemmed from earlier work on a deep neural network designed to identify handwritten ink patterns through micro-level geometric shape analysis.
- The new model suggests that many Dead sea Scrolls are older than previously thought.
An AI model named Enoch is making waves, potentially rewriting history by re-evaluating the dating of the Dead Sea Scrolls. This groundbreaking technology challenges established timelines by analyzing Dead Sea Scrolls age wiht unprecedented precision. News Directory 3 explores how Enoch’s innovative approach, using deep neural networks, is providing new insights into ancient Jewish scripts and the very foundations of biblical authorship, going beyond paleography. The findings suggest critically important revisions to when key texts were written, creating debate and stimulating further inquiry. Discover what’s next as this cutting-edge technology unlocks new secrets from the ancient world.
AI Model Dates Dead Sea Scrolls,Potentially Rewriting History
Updated June 06,2025
A new artificial intelligence model named Enoch is providing fresh perspectives on the dating of the Dead sea Scrolls,potentially reshaping our understanding of ancient Jewish history and biblical authorship. Researchers developed Enoch to improve upon customary paleography methods, aiming to reconstruct the evolution of ideas within the scrolls.
By combining writing styles with carbon-14 dates of manuscripts using artificial intelligence, the date-prediction model Enoch is able to produce an accurate date for the manuscript.
University of Groningen/CC BY-SA
mladen Popovic and Maruf Dhali working with Enoch to date a manuscript from the Dead Sea Scrolls.
University of Groningen/CC BY-SA
Enoch’s development stemmed from earlier work on a deep neural network designed to identify handwritten ink patterns through micro-level geometric shape analysis. Unlike traditional paleography, wich focuses on subtle differences in style, enoch emphasizes shared characteristics and similarity matching. Researchers tested Enoch by comparing its age estimates to evaluations from paleographic experts. The AI’s estimates were considered “realistic” about 79% of the time.
The new model suggests that many Dead sea Scrolls are older than previously thought. This could significantly impact the timeline of ancient Jewish script styles, specifically the “Hasmonean” and ”Herodian” scripts. While the Hasmonean script was believed to have emerged between 150 and 50 BCE, Enoch’s analysis suggests it could have appeared much earlier. Similarly, the herodian script’s timeline may also need revision. Both scripts may have coexisted as the late second century BCE, challenging the prevailing view.
Enoch’s capabilities extend to biblical authorship.The AI identified two scrolls as the earliest known fragments of the Book of Daniel, thought to have been completed around 160 BCE by an anonymous author. Moreover, Enoch suggests that Ecclesiastes was likely written in the third century BCE, not by King Solomon in the 10th century BCE.
“With the Enoch tool we have opened a new door into the ancient world, like a time machine, that allows us to study the hands that wrote the Bible, especially now that we have established, for the first time, that two biblical scroll fragments come from the time of their presumed authors,” the authors wrote. “It is indeed very exciting to set a significant step into solving the dating problem of the Dead Sea Scrolls and also creating a new tool that could be used to study other partially dated manuscript collections from history.”
What’s next
The Enoch tool promises to revolutionize the study of ancient manuscripts, offering a new approach to dating and authorship analysis. Its application could extend beyond the Dead Sea Scrolls, providing valuable insights into other historical texts.