Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)
Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works w...
