Unveiling Lost Literature: How AI is Resurrecting History
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Chapter 2: The Quest for Deciphering the Papyri
In the video "Is AI Ruining Our Perception of History?", experts discuss the implications of AI in understanding ancient texts and its potential to reshape our historical narratives.
For two decades, various teams have sought ways to decode these scrolls without physically unrolling them. Brent Seale has utilized three-dimensional computed tomography (CT) to capture high-resolution images. His work with the Diamond Light Source particle accelerator has shown promise, though distinguishing ink from papyrus remains a challenge.
Seale successfully demonstrated this method by virtually unrolling scrolls from En-Gedi, a Jewish community site dating back to the late eighth century BCE. This process involved intricate transformations and preprocessing of the images, allowing researchers to read what turned out to be the oldest copy of a Pentateuchal text.
The charred scroll from En-Gedi (left) and completed virtual unwrapping for the scroll (right). image source: here
Despite these advancements, determining the optimal scanning protocol before identifying ink presence is complex. Each step requires meticulous calibration, and identifying the text is equally daunting.
In response to the challenges, "The Vesuvius Challenge" was organized to encourage community participation in developing sensitive algorithms capable of reading the scrolls. The competition offered significant prizes, motivating participants to innovate.
In a breakthrough moment last October, researchers detected faint traces of ink resembling Greek letters. This led to the creation of a machine learning algorithm designed to identify these textual nuances. Early findings included the word πορϕυρας (porphyras), meaning 'purple'.
In the accompanying video "Care to Learn the History of AI? Read Genius Makers by Cade Metz," viewers can explore the intersection of AI and historical research, shedding light on the ongoing evolution of technology in the humanities.
Despite the excitement, research continues. Teams submitted models to compete for the Grand Prix, uncovering hundreds of words within the papyrus. However, the text revealed only 15 columns and less than 5% of the entire scroll, indicating it contains previously unknown literature.
The winning design, featuring a small architecture with divided space-time attention, has been made available on GitHub, providing a valuable resource for future research.
What does this text reveal? Preliminary transcriptions indicate that the scroll is not a duplicate of any existing work. Instead, it presents an original text from antiquity, delving into themes of pleasure and abundance within Epicurean philosophy.
Parting Thoughts
Decoding a scroll charred for two millennia is an extraordinary technical feat, yet it also ignites curiosity about future discoveries. Researchers speculate about potential texts from Aristotle, Homer, or other forgotten authors. The exploration of the mansion where these papyri were found is still incomplete, suggesting more treasures may lie ahead.
These algorithms not only hold promise for the scrolls from Herculaneum but could also be adapted for other ancient texts, whether from different locations or wrapped around mummies, all while preserving these invaluable artifacts.
Are you intrigued by the potential of uncovering more lost literature? Share your thoughts in the comments!
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