An approachable study of PBR texture redundancy, the paper's random-access decoder, filtering costs, and three interactive labs explaining how NTC trades GPU compute for memory and bandwidth.
Personal learning notes
An approachable study of PBR texture redundancy, the paper's random-access decoder, filtering costs, and three interactive labs explaining how NTC trades GPU compute for memory and bandwidth.
A beginner-friendly guide to tokens, attention and KV cache, then CSA/HCA, mHC, Muon, FP4 and agent post-training—with a precise explanation of what open weights mean.
A Chinese paper note on particle graphs, learned message passing, rollout error, training noise, reported evidence, and GNS's place in an SAO-scale world dynamics stack.
Interactive compression, future prediction, controller decisions, and Dream/PBD comparisons explain how a world model perceives and acts.
A structured reading of the research problem, related work, three-stage pipeline, paper figures, and an interactive sandbox for agentic open-world generation.
A structured reading of related approaches, coarse-to-fine pose prediction, reported results, ablations, and interactive 3D spatial reasoning.