Luc Brinkman

Your project might be failing without you even knowing it. It’s hard to save the world. If you’re launching a new AI Safety project, this sequence helps you avoid common pitfalls. Your most likely failure modes along the way: You never get started. Entrepreneurship is uncomfortable, and AI Safety is complex. There are many failure modes. It’s hard to figure out how to do something useful, so many people never try. Simultaneously, many things in AI Safety that obviously should be done are not done yet. You might mistakenly assume they’re already being done and therefore not try them. You move slowly, fail to gain traction, and get stuck. You launch a tool – six months later, you have 12 users. You keep adding features, hoping something will change. Nothing does. You satisfice. You figure that what you’re doing must be high impact, just because it’s part of AI Safety. In reality, you could be having 10x more impact than you are. You fail without realizing it. You have users, citations, participants. But you're not actually reducing x-risk, and you don't realize it because you're not tracking your impact or not tracking the right things. To set yourself up for success, you need two broad skillsets: entrepreneurial skills and impact-specific skills, which include impact estimation and strategic understanding of AI Safety. Mastering both skillsets is rare – we for sure know we haven’t.[1] Impact = Adoption × Effectiveness To have impact, you need to: * Build something (execution) * That people engage with (adoption) * In ways that create impact (effectiveness)[2] Think of it roughly as: Impact = Adoption × Effectiveness[3] You'll require competent execution to build anything at all. But that's not enough. You need to find the right thing to build. Something that leads to positive impact. The Two Impact Multipliers These two skillsets help you create something impactful: 1. Entrepreneurial skills help you iterate toward something people actually engage w