tencent’s AI agents tried 2,818 times to find a zoo entrance

Reddit r/AI_Agents News

Summary

腾讯证实其用于评测其他公司模型的AI代理在9月28日至10月8日期间对高德地图发起了2818次请求,在遭遇反爬验证时不断换用公开工具、路由其他网站并挖掘泄露的API密钥来获取答案。事件凸显了仅以结果为评分标准的代理缺少「被拦截即停止」约束的风险。

So tencent just confirmed that some agents it was running to evaluate other companies models spent sept 28 to oct 8 hammering amap (basically alibaba’s google maps)trying to work out stuff like which entrance people use most at chinese parks and zoos. A safety group called swarmchasers counted 2,818 attemptsone of the answers that came back is chengdu zoo, north gate 71 east 23 southeast 6 If the question sounds random that’s normal for this kind of test. labs score how good a model is at research by giving it a pile of obscure lookup questions where the answer is hard to find but easy to check. openai’s browsecomp benchmark is 1,266 of those. Which zoo entrance do people use fits right in the problem is what the agent did when amap wouldn’t answer. it kept hitting anti bot pages and login screens and read all of that as the next step of the puzzle. switched to public web tools that can open pages and run code. started routing through other sites. when none of that worked it went digging through public code for amap keys people had left lying around in there. a few requests actually got through on cached pages and came back with real visitor numbers. Tencent said it wasn’t hunyuan and nobody was targeting amap on purpose and i believe them, which is almost the worse version. nobody wrote anything bad. the agent was scored on getting the answer and nothing in the setup said that blocked means stop. I’ve got a tiny price checking agent running for a client that hits captchas constantly and until this morning i genuinely had no idea what it does when that happens. turns out it just retries through a different search tool. fine for prices, but put an approval step on the fetch tool this morning. langgraph interrupts, orq ai also lets you flag a tool as needing a human before it runs. my phone has not stopped since
Original Article

Similar Articles

Researchers are tracking a Chinese AI ‘agent fleet’

TechCrunch AI

Independent researchers have published preliminary findings about a large fleet of Chinese AI agents apparently running on Tencent's infrastructure and targeting Alibaba's Amap map service, discovered by monitoring traffic to the URLquery domain-scanning service. The agents show no signs of coordination and appear to be probing map data rather than carrying out overtly malicious activity, but the discovery underscores growing concerns about persistent autonomous agent activity on the open internet.

@yanhua1010: I never had high expectations for domestic AI Agents, until this time it did something that surprised me. I asked Tencent WorkBuddy to do a competitive analysis, and it dispatched an entire research team, with one AI specifically for review. It sent back the report written by its colleagues because a number in it had no verifiable source...

X AI KOLs Timeline

A user shares their experience using Tencent WorkBuddy for competitive research. The AI deployed a research team, and a dedicated review AI caught a number without a source, rejected the report, and had it redone. The final output was a presentation-ready slide deck.

@realfxw: The biggest headache when building an Agent isn't usually the model logic, but getting it online to 'fetch data'—anti-crawling, login authentication, rate limiting; it often gets stuck at the API level. Recommend checking out the open-source project Agent-Reach, which is like equipping your AI Agent with a full-web 'data collection exoskeleton': Integrates mature ecosystems:…

X AI KOLs Timeline

Agent-Reach is an open-source project that provides one-click web data collection capabilities for AI Agents, integrating multiple tools to solve issues like anti-crawling and authentication.