Post by John Bailey

The OpenAI Foundation just laid out its vision for AI resilience and it's exactly the kind of ecosystem thinking this moment demands. Wojciech Zaremba frames this effort by noting that every general purpose technology, from fire to electricity to the internet, followed the same arc of rapid innovation, real risk, and institutions racing to catch up. What made each one safe wasn't the technology itself but the resilience built around it, layer by layer. The difference with AI is speed. Fire resilience took millennia. Electricity took decades. AI resilience has to evolve in a matter of years built alongside the technology, not after it. A few areas of the important areas they're focusing on include: 🔐 Cyber-resilience: Well-resourced companies can defend their own systems. The Foundation's focus on the under-resourced institutions that keep society running—the ones that can't deploy AI-ready defenses fast enough—is where the real gap is. 🛡️ AI model safety: The recognition that alignment can't rest on labs alone. We need independent institutions to evaluate safety and public infrastructure to verify safe deployment in practice. A broader, more robust ecosystem. 🌱 AI's impact on young people: As someone focused on youth wellbeing, this one matters most to me. Young people are the earliest adopters, and we still lack the evidence base to understand how AI shapes human connection, learning, and development. Leading with independent research before standards is the right sequence. Resilience is a permanent discipline and it takes many people and institutions building, investing, and collaborating together. Glad to see this work taking shape, and looking forward to following where it goes. https://lnkd.in/g5mgmPcj