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Training voice agents in an audio-native environment can more than double their task success rates and enhance efficiency without external dependencies.
The Qwen3-Omni model can reconstruct complex narratives from garbled audio inputs, revealing a hidden layer of reasoning that challenges our understanding of audio language processing.
