Dreams of AI ending aging and of AI killing everyone through a purely in-silico-designed pandemic both rely on this fallacy. It's understated here how much we lack ground truth data about what's happening inside of cells, or sensors to get that data. A single cell contains billions of protein molecules, across at least thousands of types, and at least trillions of interactions per second. Think we solved protein folding? We've made enormous progress predicting static protein structures. But these proteins constantly change their conformation and interact with one another, often in ways we can't observe or model accurately. Our best sensors capture a miniscule fraction of the activity in a living cell, orders of magnitude short of what's happening. We actually lack the ability to perceive what's going on that would be required to build such a bottoms up simulation. Let alone to scale this up to an organism or a global population. We know we have an expanding universe not because of breakthroughs in theory or computation - but because Edwin Hubble got new data by looking through the Hooker telescope. Possibly the greatest mind, Einstein, was wrong in his model of the universe because he lacked the right instrument to bring him the right data. That's where we are in biology. Our sensors are still so crude. No amount of pure computation or AI can build a perfect model. We need an instrument revolution in biology, not just a computational or intelligence revolution. AI can generate hypotheses, but without sufficient ground truth data, we can't know whether our simulations are modeling reality.