By driving the price of experimentation toward zero, AI makes failure cheap, fast, and informative. This decouples discovery from institutional risk aversion. We can shift the architecture from a linear, hypothesis-driven model (reliant on human intuition about where to look, while punishing boldness in those bets) to a parallel, machine-speed,... See more

The critical impact of autonomous research agents is not merely their endurance – Locus at 64-hour-cycles or Kosmos exploring a six-month search space in 12 hours. It is the collapse in the cost and time required to run experimental loops.