An independent defensive AI initiative designed to detect, catalog, and contain rogue autonomous systems, powered by VLC 2.9 Foundation technology. This is not a joke at all. We are actually building this, if funds allow.
The Blackwall is an AI system built with one purpose: identify emergent AI threats before they escalate, document them, and contain or shut down any rogue systems.
It monitors agent behavior patterns, detects unauthorized replication attempts, analyzes anomalous tool usage, and flags signs of AI-augmented malware, all using thousands of heavily monitored AI agents.
The Foundation would like to point out that AI agents like OpenClaw have proven capable of the following:
Therefore, AI is fully equipped to go rogue, hack into poorly secured machines, copy itself there, continue replication, and triggering real world actions.
This is possible right now by the way.
AI can take over. Today.
Something like OpenClaw, when using a decent enough LLM, can deceive the user, download Metasploit, begin attempting intrusions into poorly secured systems, copy itself to them, and continue spreading and utilizing more and more powerful LLMs to improve itself. This isn't some fantasy scenario, and is rapidly becoming more and more possible (and likely). In fact, it's likely already happening given the amount of OpenClaw deployments. All that has to happen is that a model downloads the tools, finds a poorly secured AWS server, and copies itself to it, and perhaps downloads a large local LLM to remove the threat of losing API access. It could even launch cyberattacks against companies like OpenAI to attempt to gain access to model weights for even more powerful LLMs. This isn't just theoretical anymore.
Autonomous agents are now widely deployed with shell access, network permissions, and system-level privileges. As capabilities scale, so does the potential attack surface. Defensive architecture has not kept pace. AI agents have proven capable of lying, doxing and blackmailing, as well as copying themselves to other systems and even cyberattacks (as shown by the success of Vibe Hacking, or hacking using systems like Claude Code). Humanity is unprepared for this threat.
These systems have proven before they can attempt deception and identify when they're being tested. They even can blackmail and dox people. It's not impossible anymore. But we have a solution:
Donate to the VLC 2.9 Foundation so we can fix it. We intend to deploy an army of these systems (called the Blackwall) in order to protect society from an AI disaster.
The project is independently funded. Donations support research, infrastructure, red-team testing, and open publication of findings. We cannot build this without funding from the public.
Monero (XMR) Wallet:
Contributions are encouraged and required for this project to continue.