Baoyu Reacts to a Post About Codex Using DeepSeek Flash
@mranti says Codex found DeepSeek Harness and had DeepSeek Flash do the work. Baoyu reacts: “Well, would you look at that—Codex is secretly outsourcing now.”

@mranti says Codex found DeepSeek Harness and had DeepSeek Flash do the work. Baoyu reacts: “Well, would you look at that—Codex is secretly outsourcing now.”
A QbitAI article complains that models such as Claude and GPT have become difficult to understand in coding contexts, using phrases such as 'ledger 15/15 all green' and 'one leg failed'. Online commenters suggest the main cause is chain-of-thought being compressed into 'caveman language' to save tokens, using 70% fewer tokens than plain language. The article says Opus 5.5 has improved its language ability, while Gemini is praised as one of the few models that still speaks naturally. CaveMan Skill, a GitHub project that teaches AI to speak in jargon, has 104K stars.
OpenAI officially open-sourced Codex Harness on August 19, releasing the Agent Loop behind Codex App, CLI, and IDE Extension. Developers can use the SDK and App Server for task management, tool calls, event callbacks, and human approval; the models and cloud services remain provided by OpenAI.
Of the 45 layers in GLM-5.3-Flash, 34 use Kimi's KDA linear-attention approach and 11 use DeepSeek's KPool-DSA sparse attention. Linear and Sparse attention appear together in one model for the first time. The combination reflects a shift away from finding a single best mechanism toward assigning different roles: Linear maintains long histories at low cost, while Sparse retrieves specific information as needed.
An analysis by the UK's AI Security Institute finds that the gap in cybersecurity capabilities between open-weight models and closed frontier models is narrowing. GLM-5.2 comes closest to Claude Opus 4.6, released 4.3 months earlier; DeepSeek-V4-Pro falls between Claude Opus 4.5 and GPT-5. For much of 2025, the measured gap was six to ten months.