qwen2-5-omni-0ef0d298·3 events·first seen Aliases: Qwen2.5-Omni
OpenAI released GPT-Live-1 and GPT-Live-1 mini on July 8, 2026, replacing Advanced Voice Mode with a full-duplex voice system that processes audio continuously and delegates harder queries to GPT-5.5 in the background. The architecture separates a real-time conversational voice model from a reasoning model, with user-selectable reasoning effort levels (Instant, Medium, High) routing to GPT-5.5 Instant or GPT-5.5 Thinking accordingly. Performance gains are substantial: GPQA scores jumped from 45.3% (AVM) to 84.2% (GPT-Live-1 at high reasoning), and BrowseComp improved from 0.7% to 75.2%. The system is live globally on iOS, Android, and ChatGPT.com for paid plans, though no developer API has shipped yet.
Researchers introduce IAAN (Identifying and Amplifying Acoustic Neurons), a training-free, label-free inference-time method that improves non-semantic speech attribute recognition in large audio-language models by identifying and amplifying specific feed-forward neurons in the audio encoder. The method scores neurons by contrasting activations on real audio versus noise references, then amplifies the top-scoring neurons at inference. Across ten non-semantic speech attributes, IAAN yields accuracy gains of 25.7 points on Audio-Flamingo-3, 21.4 on Qwen2.5-Omni, and 9.7 on Kimi-Audio without any retraining. The work establishes that encoder-side, neuron-level intervention is substantially more effective than post-encoder or language-model-side interventions for acoustic perception.
Alibaba's Qwen team releases Qwen2.5-Omni, a 7B-parameter end-to-end multimodal model capable of processing text, images, audio, and video simultaneously. The model delivers real-time streaming responses in both text and natural speech synthesis. It is openly available on Hugging Face, ModelScope, DashScope, and GitHub, accompanied by a technical paper.