Total funding reaches $17.5M as the company launches Perle Labs, a platform that rewards users for reviewing and contributing accurate data sets to AI systems.

Apple’s recent paper, "The Illusion of Thinking," lays bare a core tension in AI development: the belief that more tokens equals more intelligence. Their work investigates Large Reasoning Models (LRMs) in a tightly controlled puzzle environment, showing that performance doesn’t scale cleanly with size. In fact, these models break down when reasoning gets too complex.

A new dataset paper, Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark, by Gao, Pradeepkumar, Das, Thati, and Sun, offers an important lens on the role of labeling in high-stakes AI development-particularly in healthcare, where the cost of getting it wrong is high.