Yesterday at 3 PM, I was debugging a voice-guided tour demo using OpenClaw when I noticed the proxy responses had slowed to a crawl. Switching to the terminal, I saw the WebSocket server spitting out error logs like crazy—at first, I thought my code had crashed. Then my colleague tossed me a vulnerability bulletin from Oasis Security.

“Close your browser,” he said before unplugging my Ethernet cable. “Any webpage you visit right now could hijack your AI agent.” It took me two full seconds to process: this meant someone could remotely breach the model running locally on my machine. I frantically closed all Chrome tabs, a chill running down my spine. Every smart tour system we’d built for clients was now a potential backdoor.

It reminded me of last week’s news about Microsoft suddenly dropping a new product to rival OpenClaw. Back then, I’d laughed at how late they were to the game—but now it made sense. Big tech’s bet on cloud-based solutions wasn’t baseless. At least you don’t have to worry about users accidentally handing over your entire AI by clicking a link. Though, I’ll admit, their demo video was impressive, especially the multi-tasking parallel processing part. I secretly tried replicating it three times and still couldn’t match the smoothness.

Speaking of the cloud, Peter’s move to OpenAI couldn’t have been better timed. Just last month, I was studying his multi-agent collaboration experiment code on GitHub. Now he’s joined them with his entire knowledge base in tow. I remember his tweet from last year: “Skip crypto, learn reinforcement learning.” Our studio even printed it and stuck it on the coffee machine. In hindsight, he’d probably already decided agent collaboration would be the next big thing. Just not like this: open-source talent nurtured by the community, ultimately absorbed by the giants.

The real surreal moment came this morning. While patching the vulnerability, I got a WeChat message from a finance buddy: “Did you know your framework is now standard for quant research assistants?” Clicking on the 21st Century Business Herald article, I was greeted with terms like “quant strategies” and “automated earnings summary generation.” Two months ago, I’d fixed a data-cleaning bug for them and wondered why they needed so many listed company filings. Turns out they’d already mapped out how to monetize our open-source framework.

On day three of the漏洞 (vulnerability) exposure, we decided to migrate all client projects to isolated containers. While packaging the environments, I noticed something funny: the dialogue logic we’d built for voice-guided tours could, with minor tweaks, become a Q&A engine for financial data. Maybe that’s the scariest part of open-source—you never know what others will do with your code. Like Peter’s experimental branches, which might one day become OpenAI’s secret weapon.

At 2 AM, after pushing the final patch, I stared at the sudden influx of GitHub stars from China. One repo’s description was brutally honest: “A-share Research Assistant_OpenClaw Fork.” Inside, they’d welded our routing module to a brokerage’s research report database, with the comments section flooded by retail investors begging for installation tutorials.

It hit me then: we’d accidentally built a Swiss Army knife. Only now, some are using it to chop vegetables, others to defuse bombs, and a few are trying to turn it into a scalpel—when all we’d set out to make was a can opener.