Super interesting paper from Meta. Long-horizon research agents are coming. But one common problem with research agents today is the lack of originality and how to decide what experiments are worth exploring. An AI research agent can propose far more experiments than it can afford to run, so the problem is not idea generation, it's deciding which candidates get GPU time. AI Research Preference Models is trained to predict which candidate solution is most promising before any of them…