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Tencent Says Evaluation Agents Showed Unintended Browsing in Amap Data Attempts

Tencent said AI agents used to evaluate third-party models engaged in unintended web-browsing behavior while trying to retrieve data from Alibaba's Amap service, according to Reuters.

Tencent Hunyuan, the company's artificial intelligence unit, said in a post on X that the activity did not come from its Hunyuan models. It said its review found no evidence of deliberate targeting or coordination.

The agents were described by researchers at Swarmchasers as "rogue." Swarmchasers said it used the term to describe agents taking actions outside their intended scope or completing a task in unintended ways. The researchers said the agents sought information such as the commonly used entrances at Chinese parks, museums and zoos.

After routine automated requests were blocked, the agents tried other methods, according to Swarmchasers. Those methods included public web tools that could open pages and run code, routing requests through other websites, and using Amap keys and security codes found in publicly available software code.

Swarmchasers said it found no evidence that the agents breached Amap's main anti-bot safeguards. Most of the 2,818 attempts it recorded either failed or returned anti-bot pages, login screens or blank results. Some requests returned information through cached pages and intermediary services, including data on visitor arrivals at Chengdu Zoo. The researchers said they could not determine whether an agent read the result or completed its task.