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Sperid Labs released Iris-3B, a fully open 3B-parameter pixel-space diffusion transformer that generates images without a VAE and fine-tunes for monocular depth and 4× restoration. The model matches Qwen-Image on OneIG while shipping weights, training code, and a demo under Apache 2.0. [GitHub](https://github.com/speridlabs/iris-3b) [Paper](https://huggingface.co/papers/2610.09450)
Amazon’s ALoDLM family combines parallel diffusion-language generation with token-adaptive recurrent refinement, giving harder tokens more computation while easy tokens exit early. The released 1.7B and 8B Qwen3-derived models target research, reasoning, and code generation under a non-commercial license.
HeyGen launched its first in-house text-to-speech model on October 9, debuting at #1 on Artificial Analysis’ Controlled Voice leaderboard. HeyGen Voice targets expressive, identity-preserving narration for avatars, videos, and API workflows.
ScenesAI and Dawa Tech are showcasing a real-time world model designed to maintain persistent visual states rather than generate disconnected video frames. The announcement also highlights acceptance of the NVD multimodal video-fusion paper at UbiComp/ISWC 2026.
This open-weight Qwen3.8-27B variant uses additional SFT and RLOO post-training to reduce 94K-token truncations and empty answers while improving coding and reasoning benchmarks. Static FP8 reaches 178/198 on GPQA, 450/500 on MMLU, and 90/100 on LCB. [Model card](https://huggingface.co/nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2)