not much happened today

**Qwen model family** released quantized versions of Qwen3 models including **14B**, **32B**, and **235B** parameters, with promising coding capabilities in Qwen3-235B. **Microsoft** launched **Phi-4-reasoning**, a **14B** parameter model distilled from OpenAI's o3-mini, emphasizing supervised fine-tuning and reinforcement learning, outperforming larger models in some benchmarks. **Cohere's Command A** leads SQL performance on Bird Bench. **Google** introduced the **TRAJAN** eval for video generation temporal consistency and updated the **Gemini** OpenAI compatibility layer. **Inception Labs** launched a diffusion LLM API claiming 5x speed improvements over autoregressive models. Community rankings show **OpenAI's o3** model debuting strongly in web app-building tasks. Other releases include **AllenAI's OLMo2 1B** and additional Phi 4 variants. *"Qwen3-235B shows promise for coding"* and *"Phi-4-reasoning tech report emphasizes SFT gains"* highlight key advancements.