Why reinforcement learning platforms without representation depth (and other key points from NeurIPS 2025)

Each year, NeurIPS produces hundreds of impressive articles, including a handful that subtly redefine how practitioners think about scaling, evaluating, and designing systems. In 2025, the most significant work did not concern a single revolutionary model. Instead, they questioned the…




