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MiniMax Audio, a leading innovator in audio technology, has officially released its new Speech-02 series voice model. Supporting over 30 languages and capable of processing 200,000 characters at once, it delivers a more natural, fluent, and convenient audio experience. The new Speech-02 series is the core highlight of this update. According to the official introduction, this series has significantly improved multilingual support, enabling more accurate and native-sounding pronunciations in various languages. Even more impressively, Speech-

On March 19th, an open-source text-to-speech (TTS) model called Orpheus TTS was officially launched. This model has quickly gained attention for its human-like emotional expression, natural and fluent voice quality, and ultra-low latency real-time output stream. Orpheus TTS reportedly excels in real-time conversational scenarios and promises to bring new breakthroughs to intelligent voice interaction. Orpheus TTS focuses on low latency and high emotional expression, with core features including: - **Ultra-Low Latency**: Default latency approximately 2

The Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) has recently signed a landmark agreement with the AI voice company Ethovox, setting clear regulations for the AI application of actor voice data. This agreement not only provides a reliable framework for the entertainment industry’s use of AI technology but also establishes new standards for protecting actors' rights. According to the agreement, actors will receive dual revenue guarantees: an upfront payment for voice recordings and ongoing revenue sharing from the application of AI voice models. More importantly, any use of voice data requires consent.

Recently, researchers from UCLA and Amazon conducted an in-depth analysis of the reasoning capabilities of large language models (LLMs). They systematically differentiated between inductive and deductive reasoning for the first time, exploring the degree of challenge each poses to AI systems. Inductive reasoning refers to deriving general principles from specific observations, while deductive reasoning involves applying general rules to specific cases. The aim of the study is to understand which reasoning capability presents more challenges for large language models.