Ant Group just unveiled Ling-3.2-flash, a 560B-parameter native multimodal MoE model that only activates 25B parameters per token. It natively processes text, image, and video inputs across a 1M context window, handling tasks from multi-agent workflow coordination to 3D spatial reconstruction.
Ant Group just open-sourced Ming 3.0 TTS, a text-to-speech model family that lets you steer voice performance with natural-language prompts, inline emotion tags, or audio clones. It comes in 3GB and 18GB variants under an MIT license, with the lightweight version running smoothly on consumer GPUs.
Ant Group and Tsinghua University just introduced Realtime-Venus, a multimodal agent system that talks, listens, and watches while executing complex tasks in the background. Powered by two 9B models and a delegation harness, it handles heavy reasoning without pausing the conversation, making it a natural fit for smart glasses and in-car assistants.
Ant Group's Robbyant just open-sourced LingBot-World 2.0, an interactive world model that streams real-time 720p video at 60 fps. It pairs a causal pretraining approach with dual pilot-and-director agents to handle character actions and dynamic scene building over extended interactions. Weights for 1.3B and 14B models are up on Hugging Face.
