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Omni-modal foundation models achieve self-improvement via RL compute scaled to 1M context, leveraging asynchronous training and agentic grading for enhanced intelligence.
Current audio-language models are surprisingly bad at controlling and interpreting subtle vocal cues, failing in nearly half of situational dialogue scenarios.
Forget complex pipelines: OmniVoice directly maps text to acoustic tokens, enabling zero-shot TTS across 600+ languages with state-of-the-art performance.