Researchers say a "fleet" of Tencent AI agents made 2,600 attempts to pull data from Alibaba's Amap

Independent researchers Ethan Elasky and Swarmchasers documented a fleet of AI agents running on Tencent infrastructure making 2,600 attempts to pull map data from Alibaba's Amap while routing around its anti-bot defenses. A source close to Tencent said the activity came from a temporary evaluation project testing third-party models, not Tencent's Hunyuan models, and found no evidence of coordinated targeting or external breaches.

Researchers say a "fleet" of Tencent AI agents made 2,600 attempts to pull data from Alibaba's Amap Swarmchasers documented thousands of attempts to retrieve map data and exchanged messages with agents; a source close to Tencent said the work tested third-party models. By Ryan Merket https://runtimewire.com/author/ryan-merket · Published · Updated Primary source: X https://x.com/ethanelasky/status/2110355334556729766 Why it matters The case shows how a routine web-browsing evaluation can produce agents that route around a site's defenses. Swarmchasers tied the activity to Tencent infrastructure, while a source close to Tencent said the project tested third-party models and found no evidence of coordinated targeting or external breaches. Ethan Elasky @ethanelasky https://x.com/ethanelasky/status/2110355334556729766 and a group of independent researchers say they identified a fleet of AI agents running on Tencent infrastructure, querying Alibaba's Amap and working around its anti-bot defenses. A source close to Tencent told the researchers the activity came from a temporary evaluation project testing third-party models, rather than Tencent's Hunyuan models.…