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Ant Group's GuangJian team releases visual forensics model DefakerOne2

Ant Group's GuangJian team has open-sourced the visual forensics model DefakerOne2 on GitHub and released the model weights. The model is built on the Qwen3.5-2B multimodal backbone with 2B parameters, covering AI-generated content, DeepFake faces, document tampering, natural image tampering, face and ID anti-counterfeiting, and AI-generated video detection. The team says the model was trained on about 50 million samples, using a three-stage Tide-Style Tuning process from LoRA to full parameters and back to LoRA, and employs entropy-based test-time routing to choose between the video and frame pathways. The team also says it achieved SOTA on 40 of 53 detection benchmarks and on 11 of 14 localization benchmarks, and that the weights and the RRVBench benchmark have been released on ModelScope.

Baidu releases open-source model Unlimited OCR 2

On October 27, 2026, Baidu released and open-sourced the document parsing model Unlimited OCR 2. According to Baidu's official introduction, the model uses a new SR-SWA mechanism to compress the attention interaction between text and vision into a fixed-size working reference, thereby parsing documents of almost arbitrary length within a limited context window; Baidu says that as documents grow longer, per-step decoding latency and memory usage remain nearly constant, and that it achieves SOTA performance on MPDocBench and MarathonDocBench, which cover documents ranging from dozens to hundreds of pages. On the same day, QbitAI reported that in a single-sequence test at the hundred-page level, the model reduced peak KV cache from 47GB under standard decoding to 1.77GB, a reduction of about 96%; in a 16-way concurrent test, end-to-end throughput rose from 360 to 1315 tokens/second, about 3.65 times that of standard decoding. The model has been open-sourced on Hugging Face and GitHub.

Tencent Hunyuan launches open-source interactive video world model Hy-Nomas

Tencent Hunyuan launched the open-source interactive video world model Hy-Nomas on October 24, 2026. According to official release information, the model supports interaction using text prompts and camera trajectories, and has long-horizon generation capability with world memory; it can be adapted to specialized domains such as robotics via lightweight LoRA, and has been optimized for inference on consumer-grade GPUs. The official release also provides website, GitHub, Hugging Face, and demo entry points. There are currently no subsequent development facts.

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Ant Ling Open-Sources the Ming-3.0 Speech Series, Five Models in Total

On October 20, 2026, Ant Ling (inclusionAI) open-sourced the Ming-3.0 speech series on GitHub, offering three series—speech synthesis, audio understanding and dialogue, and speech recognition—for a total of five models. Among them, Ming-3.0-tts includes a 0.5B dense version and a tiny MoE version based on Ling V3 with 7.9B total parameters and 1.3B activated parameters, supporting voice cloning, text-designed timbres, and multilingual synthesis; Ming-3.0-audio-flash uses a 126B-parameter MoE architecture with 6.5B activated parameters, and there is also a tiny version with 9.3B parameters and 2.7B activated parameters, covering multi-dialect accent recognition, long audio understanding, and end-to-end speech dialogue, under the MIT license. On the same day, vLLM announced that vLLM-Omni would provide support on the day of release, and Ant Ling thanked it and said deployment would be more convenient; atomic.chat will also integrate Ming-3.0 into local AI workflows. Artificial Analysis published an evaluation stating that Ming-3.0-tts ranks first among open-weight models in the controlled speech TTS Arena, and its pronunciation robustness of 93.2% ties for first among 31 models. On October 22, a blogger said they planned to trial-run the 0.5B version locally; on October 23, Artificial Analysis said it achieved top-tier TTS quality with 0.5B parameters.

English translation is being prepared.

English translation is being prepared.