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Google's Aeneas AI Cracks the Code on 2,000-Year-Old Roman Texts
Technology News, General

Google's Aeneas AI Cracks the Code on 2,000-Year-Old Roman Texts


Jul 23, 2025    |    0

Google DeepMind just released an AI that's basically giving historians superpowers, and it's pretty incredible.

Meet Aeneas – the first artificial intelligence model designed specifically to decode, restore, and contextualize ancient Roman inscriptions. Published today in Nature, this isn't just another AI breakthrough; it's a game-changer for anyone trying to understand what Romans were actually writing on everything from imperial monuments to bathroom walls 2,000 years ago.

Roman Inscription Decoder Simulator

Roman Inscription Decoder Simulator

Experience how AI helps decode ancient Roman texts

Click on the highlighted gaps to reveal AI restoration suggestions with confidence scores
DIS • MANIBVS
• • • • IVLIVS • • • • • •
MILES • LEG • III • • • • •
VIXIT • ANNIS • • • • • MENSIBVS • VI
• • • • • • • • ET • FRATER
BENE • MERENTI • FECERVNT

AI Restoration Suggestions

73%
Text Restoration Accuracy
72%
Geographic Attribution
±13
Years Dating Precision
176K
Training Inscriptions

The Ancient Social Media Problem

Here's the deal: Romans were obsessed with writing stuff down. They carved political rants, love poems, business deals, birthday invitations, and even magical spells onto monuments, tombstones, walls, and random objects. These folks were basically the original social media generation.

But here's the catch – most of these inscriptions are now fragmentary, weathered, or deliberately damaged. Imagine trying to understand a broken tweet by manually searching through millions of other tweets to find similar ones. That's essentially what historians have been doing for centuries, spending months or years hunting for "parallels" – similar inscriptions that might help fill in the missing pieces.

What Makes Aeneas Special

Named after the wandering hero from Roman mythology, Aeneas changes everything. The AI has been trained on over 176,000 Latin inscriptions from major historical databases, and it can now do in seconds what used to take historians days or weeks.

Here's what makes it revolutionary:

• Lightning-Fast Pattern Recognition: Aeneas scans its massive database and finds similar inscriptions faster than you can Google "ancient Rome." What used to be painstaking manual detective work now happens instantly.

• Multimodal Analysis: This isn't just reading text – Aeneas analyzes actual images of the inscriptions too. It's looking at the stone, the carving style, the visual context. Think of it as having X-ray vision for ancient artifacts.

• Smart Gap Filling: Here's the really impressive part – Aeneas can restore missing text even when it has no clue how much text is supposed to be there. Previous AI models needed to know roughly how many characters were missing. Aeneas just figures it out.

The Numbers Are Impressive

The performance stats speak for themselves:

• Text Restoration: 73% accuracy for gaps up to ten characters, and 58% accuracy even when it doesn't know how long the missing section should be

• Geographic Attribution: 72% accuracy identifying which of 62 ancient Roman provinces an inscription came from

• Dating Precision: Gets within 13 years of expert historians' estimates

• Database Scale: Trained on over 176,000 Latin inscriptions from across the ancient Roman world

Real Historians, Real Results

The Google DeepMind team tested Aeneas with 23 professional historians who regularly work with ancient inscriptions. The results were clear: historians performed significantly better when using the AI, especially when they combined Aeneas's suggestions with their own expertise.

One historian in the study said Aeneas "completely changed my perception of the inscription. It noticed details that made all the difference for restoring and chronologically attributing the text."

The Augustus Challenge

To really test Aeneas, researchers fed it one of history's most famous inscriptions: the Res Gestae Divi Augusti – Emperor Augustus's first-person account of his achievements. Historians have argued about when this text was written for decades.

Instead of picking one date, Aeneas did something brilliantly nuanced: it provided a probability distribution showing two peaks – one around 10-1 BCE and another between 10-20 CE. Essentially, it captured both major scholarly theories quantitatively and showed how confident it was in each possibility.

That's not just technical wizardry – that's genuine understanding of historical uncertainty and scholarly debate.

How the Technology Works

Under the hood, Aeneas combines several advanced techniques:

• Multimodal Neural Network: Processes both text and images of inscriptions simultaneously

• Historical Fingerprints: Creates unique "embeddings" that encode each inscription's textual and contextual information

• Transformer Architecture: Uses the same underlying technology as ChatGPT, but specialized for ancient texts

• Massive Training Dataset: Built from the Latin Epigraphic Dataset (LED), combining multiple historical databases into a single, machine-readable collection

Beyond Roman Inscriptions

While Aeneas focuses on Latin texts, the underlying approach could work with other ancient languages, scripts, and historical documents. The team has already upgraded their previous model, Ithaca (which worked on ancient Greek), to use Aeneas's improved capabilities.

We're potentially looking at a future where AI helps us understand ancient Egyptian hieroglyphs, decipher mysterious historical documents, or tackle those stubborn ancient scripts nobody's figured out yet.

Free for Everyone

Here's the best part: Google DeepMind is making Aeneas freely available to researchers, students, educators, and museum professionals at predictingthepast.com. They're also open-sourcing the code and dataset, so other researchers can build on this work.

It's refreshing to see cutting-edge AI research shared so openly, especially for something as specialized as ancient history.

What This Really Means

Aeneas represents something bigger than just a cool tool for historians. It's showing how AI can amplify human expertise rather than replace it. The historians in the study didn't become obsolete – they became more effective, more confident, and able to tackle more complex problems.

This is collaborative intelligence at its best: machines bring computational power and pattern recognition, while humans provide context, critical thinking, and historical understanding. Together, they're unlocking secrets hidden for millennia.

The Bigger Picture

We're still in the early days of what AI can do for historical research. Future possibilities include:

• Expanded Language Support: Adapting the technology to ancient Egyptian hieroglyphs, mysterious undeciphered scripts, and other historical languages

• Archaeological Integration: Combining inscription analysis with site data to understand how ancient people lived and what they believed

• Immersive Experiences: Virtual reality tours of ancient Rome with AI-restored graffiti and texts translated in real-time

• Educational Tools: Making ancient history more accessible to students and the general public through interactive AI-powered platforms

For now, Aeneas is already making a real difference for historians trying to understand our ancient past. And honestly, in a world where AI news often feels overwhelming, it's pretty great to see artificial intelligence helping us connect with human stories from thousands of years ago.

Want to try decoding ancient Roman inscriptions yourself? Check out Aeneas at predictingthepast.com