Meituan's LongCat-2.0 — a 1.6T-parameter open-weight MoE trained entirely on domestic Chinese ASICs — spent two months deployed anonymously on OpenRouter as "Owl Alpha," quietly reaching #1 on Hermes Agent and #2 on Claude Code before the company claimed it. The reveal is technically notable, but the verification gaps are worth keeping in view.
Meituan open-sourced LongCat-2.0 today — a 1.6-trillion-parameter MoE with a 1M-token context window trained entirely on domestic Huawei Ascend ASICs. It is the first plausible demonstration that frontier-scale pre-training is achievable without NVIDIA hardware, arriving on the same week that US export restrictions on Anthropic's top models remained in partial force.