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A Hugging Face blog post introduces a project that uses TRL and OpenEnv to train a coding model to paint watercolors: the model outputs about 150 lines of JavaScript code and paints via the p5.brush library, and the prompt allows only 10 of the library's 47 methods. The reward is jointly given by the HPSv3 open 7B preference model and a Qwen3-VL-30B-A3B-Instruct pairwise judge, which compares candidate paintings with 4 randomly drawn reference images; three runs with different weight ratios were trained in total.
A Hugging Face blog post introduces a project that uses TRL and OpenEnv to train a coding model to paint watercolors: the model outputs about 150 lines of JavaScript code and paints via the p5.brush library, and the prompt allows only 10 of the library's 47 methods. The reward is jointly given by the HPSv3 open 7B preference model and a Qwen3-VL-30B-A3B-Instruct pairwise judge, which compares candidate paintings with 4 randomly drawn reference images; three runs with different weight ratios were
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Google AI Developers announced the launch of Gemini 3.7 Flash, calling it the most intelligent workhorse model for coding and agentic tasks, with improvements in instruction following, first-pass code accuracy, and the quality of agentic task execution. The official demo showed the model building a complex 3D web game with Three.js in Antigravity, covering 3D engine logic, generating PBR materials and sprite sheets with Nano Banana, and procedural sound effect integration. The tweet includes a link to learn more.
Google AI Developers announced the launch of Gemini 3.7 Flash, calling it the most intelligent workhorse model for coding and agentic tasks, with improvements in instruction following, first-pass code accuracy, and the quality of agentic task execution. The official demo showed the model building a complex 3D web game with Three.js in Antigravity, covering 3D engine logic, generating PBR materials and sprite sheets with Nano Banana, and procedural sound effect integration. The tweet includes a l
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