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Mac Mini M4 + OpenClaw Is Dangerous

161.3K views· 3,854 likes· 22:54· Feb 8, 2026

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I pushed the Apple Mac Mini, most affordable computer to its absolute limits by running OpenClaw, a local AI automation agent that can code, browse, execute commands, and make decisions on its own. This simple AI experiment quickly turned into a security deep dive. From permissions and terminal access to system-level risks, this Mac Mini exposed way more than I expected. If you’re running AI tools, local LLMs, automation agents, or even just experimenting with scripts on macOS Get our NEW Preset for Sony Camera's, iPhone RAW and Android RAW. https://andresvidoza.gumroad.com/l/yxtmdq Wallpapers Featured In My Videos https://gumroad.com/a/952456307 📸 Featured products Mac Mini | 🇨🇦 https://amzn.to/4a3ofb0 | 🇺🇸 https://amzn.to/3ZU6iWd Thank You for the support, Andres. 🔔 SUBSCRIBE for more 📧 BUSINESS inquiries | andresvidoza@ankestudio.ca 📱 Follow Me ✨ Instagram | https://www.instagram.com/andresvidoza ✨ Twitter | https://www.twitter.com/andres_vidoza ✨ TikTok | https://www.tiktok.com/@andresvidoza #apple #macbook #mac

About This Video

I took the brand new Mac Mini (M4, 16GB RAM) and tried to push it into something I honestly don’t trust yet: a fully local AI assistant that can read, reason, and act. I ran OpenClaw (formerly “Clawbot/Cloudbot”) on top of Ollama with a local Qwen 2.5 model, because my whole goal was to keep things off the cloud and away from my accounts. I even made a separate non-admin macOS profile ("Jarvis") with zero iCloud access, because giving an agent control over a machine tied to your real life is… yeah, no thanks. But the more I set it up, the more it turned into a security deep dive. Running local helps privacy, but it doesn’t automatically make the system secure—prompt injection and “trust confusion” are still a thing. I also ran into the reality of agent overhead: my model could answer in ~1.6 seconds in terminal, but the same prompt inside OpenClaw took ~24 seconds because of all the extra layers happening in the background. Then I tested how dangerous this gets when an agent can touch your filesystem. My rules helped block some actions, but with direct commands the protection fell apart, and the agent even rewrote my Python script and wiped its contents. My takeaway: these tools are powerful, but they’re not hardened by default—if you don’t understand the permissions and controls you’re setting up, don’t run an agent on a machine you care about.

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