Scaling up RL is all the rage right now, I had a chat with a friend about it yesterday. I'm fairly certain RL will continue to yield more intermediate gains, but I also don't expect it to be the full story. RL is basically "hey this happened to go well (/poorly), let me slightly

What if a generative model learned by spitting out many samples at once instead of just one? A researcher from StepFun and Megvii proposes Discrete Distribution Networks (DDN) — a model that approximates data by generating hierarchical discrete distributions. Here’s how it

Got burned by an Apple ICLR paper — it was withdrawn after my Public Comment. So here’s what happened. Earlier this month, a colleague shared an Apple paper on arXiv with me — it was also under review for ICLR 2026. The benchmark they proposed was perfectly aligned with a