@GoogleDeepMind: Here’s how we used the Predicting the Past Skill in Google @Antigravity to track down a Roman ring thief, map an ancien…

Here’s how we used the Predicting the Past Skill in Google @Antigravity to track down a Roman ring thief, map an ancient cult across Europe, and reconstruct the networks of people visiting a Greek oracle.

The ring thief of Aquae Sulis

When given an 1,800 year old curse tablet, the Skill used Aeneas - our generative model for restoring, dating and placing ancient texts - to locate it in time and space. It also generated an explanation of why it made that prediction, acting as a piece of epigraphic commentary to the expert.

Mapping the cult of the Aufaniae

The Skill can study multiple texts in parallel, we used it to map stone altars dedicated to the Aufaniae - Germanic goddesses. It showcased how religious practices traveled with Roman soldiers, even flagging an outlier in Spain by a veteran who brought his favorite deity home.

Who visited the Oracle of Dodona?

By analyzing collections of ancient lead tablets, the Skill mapped visitors traveling from across the ancient world. It reconstructed the community of oracle visitors, turning scattered fragments into a connected network.

These examples showcase how the Predicting the Past Skill can push forward historical research using advanced AI models and complex workflows - with no coding required.

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But X tech bros say Google is so behind in AI. They just don’t get that AI is not just coding and it’s painful. Thanks @GoogleDeepMind great stuff. (Though I also want a sota coding model from you guys too) I could also be a trusted tester.