# Google Engineer Uses AI Agents to Discover Unmapped Maya Pyramid Forty-eight AI agents analyzed NASA lidar data to identify an ancient site in Mexico. - **Source:** [Hacker News](https://news.ycombinator.com) - **Published:** 2026-11-11 - **Topic:** [technology](https://brifing.si/c/technology) - **Original article:** - **On Brifing:** https://brifing.si/s/86f21e2d-08d2-46dd-b1fe-93007a843278 ## Rapid Archaeological Discovery A Google software engineer utilized 48 AI agents to identify a previously unrecorded Maya site in Mexico. By processing public NASA lidar data, the system successfully mapped a hilltop structure within 72 hours. This process transitioned from an initial concept to an official confirmation from the Mexican government in record time. ## Lidar Data Processing Lidar technology fires laser pulses to penetrate dense jungle canopies, mapping the ground surface beneath. The agents converted 1,200 square kilometers of lidar strips into visual images. By systematically filtering out natural terrain features like sinkholes and hills, the agents identified man-made structures including a plaza and an oval pyramid. ## Agentic Workflow Execution The project employed multiple models, including Gemini, ChatGPT, Claude, and Grok, to perform the analysis. Rather than using specialized classifiers, the agents followed a precise visual guide to identify straight edges and sharp corners. They cross-referenced findings against literature and archives to ensure the site had not been previously registered. ## Site Structural Analysis The identified site features a levelled plaza, an 8–12 meter tall pyramid, and a raised courtyard. A flat-bottomed hollow suggests a potential aguada, or rainwater reservoir, common in Classic period Maya towns. These structures likely served as a civic center for local elites between AD 250 and 900, according to agent-led analysis. ## Official Verification Process The researcher contacted Mexico's National Institute of Anthropology and History (INAH) with a formal report. INAH confirmed that no archaeological site was previously registered at the specific coordinates provided. While the discovery remains unofficial pending a field inspection, the institute now holds the authority to authorize potential future ground-based research. ## Historical Context of Lidar Archaeologists have increasingly used lidar to reveal hidden structures, such as the 2024 discovery of an entire Maya city. Previous studies have utilized NASA’s G-LiHT instrument to estimate population density in Maya lowlands. This project builds upon established methodologies where environmental research data is repurposed for significant archaeological and historical mapping efforts. ## Democratizing Scientific Discovery The project highlights how non-experts can leverage computational power to solve complex research problems. By treating the archaeological search as a data-processing task, the engineer bypassed traditional bureaucratic hurdles. This approach suggests that curiosity and imagination, supported by sufficient compute, are becoming the primary drivers for future breakthroughs in various scientific fields. ## Future of Agentic AI This experiment demonstrates that agentic AI is applicable beyond coding and physics, offering utility in diverse research domains. The author proposes that lidar scanning the entire planet could lead to massive discoveries. As AI agents become more capable, the bottleneck for scientific progress shifts toward the human ability to formulate questions. ## Sources covering this story - https://pietromiotti.com/latest/maya-site/?maya — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._