Diffusion Language Models Explained — How Mercury Generates 1,000 Tokens Per Second
Mercury uses diffusion instead of autoregressive decoding to generate all tokens in parallel, hitting 1,000+ tokens/sec. We break down how it works.
Mercury uses diffusion instead of autoregressive decoding to generate all tokens in parallel, hitting 1,000+ tokens/sec. We break down how it works.
Four color theorem just hit O(n log n) — a 2026 paper proves planar graphs contain linearly many reducible configurations, beating the 30-year O(n²) bound.
Google's TurboQuant algorithm compresses LLM KV cache memory by 6x with zero accuracy loss and no retraining needed. We break down the ICLR 2026 paper.