Google DeepMind 展示了其“预测过去”技能，这是一种旨在推进历史研究的人工智能工具。该技能分析古代文本和文物，以重建历史事件、网络和习俗。例如，绘制了多德玛神谕的访客图，绘制了罗马领土上 Aufaniae 邪教的图谱，并通过对诅咒石板进行年代测定和定位来识别 Aquae Sulis 的一名戒指盗贼。 AI
影响 通过实现人工智能驱动的古代文本和文物分析，增强了历史研究能力。
排序理由 演示了应用于历史研究的人工智能技能，而非核心人工智能模型发布或研究论文。
AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →
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. Find out more → https://t.co/ItIg8BFKgu
🔮 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. https://t.co/1NKaUzzY…
🗺️ 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 ht…
🔍 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 …
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. 🧵 https://t.co/Qz8lXnxbkJ