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The TEN Agent team recently announced that its core models **TEN Voice Activity Detection (VAD)** and **TEN Turn Detection** are now open source, providing powerful technical support for building real-time, multimodal speech AI agents. This move marks a significant advancement in the TEN framework's efforts to promote the democratization and open-source collaboration of speech interaction technology. The following is the latest information compiled by AIbase, offering an in-depth analysis of these two core models.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

This comprehensive review of the Solar AI development tool examines how it generates complete applications via natural language input, reducing 83% of development time. Explore Solar's core features, use cases, and comparisons with mainstream tools to determine if it can truly deliver on its 'light-speed development' promise.

Recently, researchers at the University of Tokyo found that the application of artificial intelligence (AI) tools in taxi drivers, especially for those with lower skills, helps improve their work efficiency. This study revealed a surprising trend: AI can not only help high-skilled workers but, in some cases, can significantly enhance the performance of low-skilled workers and narrow the skill gap. Image source notes: The image was generated by AI, and the image authorization service provider is Midjourney. The research team focused on taxi drivers in Yokohama City, Japan, analyzing...

NVIDIA officially released Llama Nemotron Nano VL on June 3, 2025. This compact visual-language model (VLM) is specially optimized for document intelligence processing. The model topped the OCRBench v2 benchmark test, showcasing its outstanding capabilities in handling complex documents, charts, and video frames. With efficient inference performance and flexible deployment options, Llama Nemotron Nano VL provides enterprises with solutions from the cloud.

Recently, the DeepSeek team released a technical paper about their latest model, DeepSeek-V3, focusing on the challenges of scaling in large AI model training and related considerations of hardware architecture. This 14-page paper not only summarizes the experiences and lessons learned during the development of V3 by DeepSeek but also provides deep insights for future hardware design. Notably, CEO of DeepSeek, Liang Wenfeng, also participated in writing the paper.