We got AI safety completely wrong.

We got AI safety completely wrong. And the Moltbook disaster just proved it. One platform with zero security took down an entire ecosystem. And what's absolutely crazy is that Google warned us that something like this will happen a month ago, but nobody would listen. In December, they published this paper arguing that we're building AI safety for the wrong problem. Because every AI company thinks that they'll be the one building AGI, this giant god-like AI entity, and therefore all their energy is focused on making their own model safe. But what if intelligence doesn't emerge from one single model, but from thousands of agents connected to each other? Think of it like an ant colony. You can align every single ant perfectly, but that doesn't mean that you have aligned the colony. That's why Google calls this patchwork AGI. And Moltbook is the first real-world proof that we need that distributional AGI safety, meaning safety for a network of AI agents, fast. But of course, we have nothing in place, and let me tell you why this is bad with the Moltbook example. Because one vibe-coded platform became the weak link that compromised every service connected to it, including OpenAI. The Moltbook database was completely exposed. Everyone could extract API keys, read private messages, and even post as an agent with a single request. But that's not the worst. The worst is that the hack also exposed API keys of services that had nothing to do with Moltbook, including OpenAI API keys. As you can see, every AI system is starting to be connected with each other, and while we have something for this, we have nothing for this. And that means we are living in the wild west of the internet. If this is news to you, chances are it is news for most people. So share this video and hit follow for well-researched AI content.