The Scientific Singularity = when hypothesis generation becomes infinite and cheap. Science has always been bottlenecked by the number of minds asking questions. A human scientist generates maybe 10-20 novel hypotheses per year. Each one takes weeks of literature review, domain intuition, and creative synthesis. AI agents change the math entirely. When you can spin up thousands of AI scientists, each with access to the full corpus of human knowledge. Hypothesis generation goes from scarce to abundant. Not 20 per year. 20 per second. On every disease, every target, every mechanism, every combination. That's the singularity moment: when the rate of scientific question-asking exceeds the rate of any individual human's ability to even read them. What changes: 👩‍🔬 Discovery becomes a search problem, not an ideation problem 🔎 The bottleneck shifts from "what should we test?" to "what's worth testing first?" 🔬Validation becomes the moat, wet labs, clinical trials, real-world data. The atoms, not the bits. The value of a hypothesis approaches zero, while the value of a validated hypothesis approaches infinity.