not much happened today

**OpenAI** launched both **Reinforcement Finetuning** and **Deep Research on GitHub repos**, drawing comparisons to **Cognition's DeepWiki**. **Nvidia** open-sourced **Open Code Reasoning models (32B, 14B, 7B)** with Apache 2.0 license, showing 30% better token efficiency and compatibility with llama.cpp, vLLM, transformers, and TGI. Independent evaluations highlight **Mistral Medium 3** rivaling **Llama 4 Maverick**, **Gemini 2.0 Flash**, and **Claude 3.7 Sonnet** in coding and math reasoning, priced significantly lower but no longer open-source. **Google's Gemini 2.5 Pro** is noted as their most intelligent model with improved coding from simple prompts, while **Gemini 2.5 Flash** incurs a 150x cost increase over Gemini 2.0 Flash due to higher token usage and cost. The **Absolute Zero Reasoner (AZR)** achieves SOTA performance in coding and math reasoning via reinforced self-play without external data. Vision-language model **X-REASONER** is post-trained on general-domain text for reasoning. **Apple ML research** released **FastVLM** with on-device iPhone demo. **HiDream LoRA trainer** supports QLoRA fine-tuning under memory constraints. **Nvidia's Parakeet ASR model** tops Hugging Face ASR leaderboard with MLX implementation. New datasets **SwallowCode** and **SwallowMath** boost LLM performance in math and code. Overall, a quiet day with significant model releases and performance insights.