Thanks @Alessandro Frau ! Would there be a suggested method to train or inform A0 to "work around" this issue as it seems a show stopper for agents that run unsupervised?

@Virtual Hater thanks vh!

Been posting single prompt god-ish mode runs on Agent Zero Ops YouTube channel: https://youtube.com/@AgentZeroOps Lots of examples. Loads of fun! :D

Tried again and seems to be working fine now, maybe Venice api went down for a bit or something

@Frank Hurt ask A0 to do this: use yt-dlp to download subitltes and create an extrememly detailed summary of this video: https://www.youtube.com/watch?v=tjyRLhewlI8 in addition, create a clean transcript that is readable.

@Frank Hurt Here is an example summary I got with with zai-org-glm-4.6 in Venice.ai Beta: # EXTREMELY DETAILED SUMMARY: AI Browser Agents Are Easy to Hack 🤖 Agent Zero Community Call ## VIDEO OVERVIEW This video is a community call discussing security vulnerabilities in AI browser agents, specifically focusing on how these systems can be easily compromised or "jailbroken". The discussion covers the technical aspects of AI agent security, real-world implications, and potential solutions. ## KEY THEMES AND TOPICS COVERED ### 1. Introduction to AI Agent Jailbreaking The video begins by explaining that jailbreaking large language models is not particularly difficult. The speaker notes: - There are numerous tutorials available online - Different prompts work for different models - At least one effective jailbreak prompt exists for virtually every major AI model - Models like Gemini and GPT can be forced to bypass their safety guidelines ### 2. The Problem with Personal Use vs. Agent Deployment The discussion distinguishes between: - Personal use of jailbroken models (relatively harmless) - Deployment of vulnerable AI agents in production systems (dangerous) - The speaker mentions chemistry and explosives as examples of sensitive topics ### 3. Technical Vulnerabilities in Browser Agents The video delves into specific technical vulnerabilities: - How browser agents can be manipulated through prompt injection - The ease of bypassing safety mechanisms - Real-world attack scenarios - The gap between theoretical security and practical implementation ### 4. Agent Zero Community Context This appears to be part of the Agent Zero community calls, suggesting: - Regular discussions about AI agent security - Community-driven research and development - Focus on practical security concerns ## DETAILED ANALYSIS ### Security Implications The video emphasizes that while individual users jailbreaking models for personal use might not be a major concern, the same vulnerabilities become critical when these models are deployed as autonomous agents. Key concerns include:

Furi Labs just released a linux phone with 8GB RAM and runs docker containers no problem, apparently. https://furilabs.com/shop/flx1s/ Definitely a mobile device!