Better Retrieval and Grounding Approaches The center of gravity in modern AI systems has shifted from raw generation to controlled, source-aware generation. When a model is asked to work inside real constraints, it needs more than fluency. It needs the right information at the right time, and it needs a method for tying its outputs […]

Memory Mechanisms Beyond Longer Context A larger context window can feel like memory, but it is not the same thing. A long context is closer to a bigger scratchpad: you can keep more text in view, but the system still has to re-read it and re-interpret it every time. True memory mechanisms change how information […]

Quantization Advances and Hardware Co-Design Quantization used to sound like a niche optimization. Today it is one of the most important bridges between frontier capability and deployable infrastructure. The reason is simple: most modern AI workloads are constrained less by raw arithmetic and more by the movement of data. Model weights must be fetched, activations […]