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Tencent announced WorldClaw, a new 3D generation model showcased on the Hunyuan3D-WorldClaw page, with the community hoping for open weights.
Tencent Hunyuan team releases quantized versions for the 295B-parameter Hy3 large model. The 1-bit version compresses weights to 85.5GB, enabling deployment on a single 96GB inference GPU with ~50% faster decoding. The open-source GGUF format is compatible with the llama.cpp ecosystem.
Tencent consultant Yao Shunyu investigated the lagging performance of the Hunyuan large model, finding systemic issues such as data contamination from chasing leaderboard scores and poor annotation quality.
Fenng explained the positioning difference between Tencent's WeLM (closed-source large model) and Hunyuan (open-source large model), pointing out that the closed-source model will not disclose technical details or participate in evaluations, and suggested understanding it through product experience.
A developer shares experience using cheap AI models (DeepSeek v4, Hunyuan Hy3 preview) to automate 90% of coding tasks, with Opus reserved for the harder 10%, highlighting cost and latency trade-offs.
Hunyuan3D-2 is an open-source AI model that instantly converts 2D images into complete 3D assets, removing the need for complex modeling software.