Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA)

SubQ debuts as the first LLM built entirely on a sub-quadratic sparse-attention architecture, eliminating the O(n²) bottleneck of standard transformers. No benchmark numbers, parameter counts, or reproducible results are provided in the source post. Practitioners should treat this Reddit announcement skeptically until peer-reviewed evals and architecture specifics are published.