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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.

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...

To address the increasingly competitive AI market, OpenAI recently introduced a new API called Flex Processing. This new option allows users to utilize AI models at a lower cost, although with some trade-offs in response speed and availability. Flex Processing is designed to support lower-priority and non-production tasks such as model evaluation, data enrichment, and asynchronous workloads. Specifically, Flex Processing offers significantly reduced costs. For example, when using the o3 model, Flex Processing's price is...

The rise of artificial intelligence is democratizing application development. Recently, AIbase learned from social media about the launch of Haisnap, a new AI application development tool gaining significant attention for its user-friendly interface and powerful features. Designed for users with no prior coding experience, Haisnap allows users to generate directly accessible web applications simply by describing their needs. It also provides the option to download the complete source code. This in-depth AIbase report explores the unique appeal and market potential of this innovative tool. Haisnap

This project details the creation of Pusa, a high-quality open-source video model built with a budget under $100. It leverages Mochi fine-tuning for efficient and cost-effective training, demonstrating the feasibility of achieving impressive results with minimal resources.

Once a respected business publication, Quartz was recently sold off cheaply after a confusing period of low-quality AI-generated content, resulting in the near-complete dismantling of its editorial team. This serves as a cautionary tale, highlighting the potentially devastating consequences of the media industry's uncritical embrace of poor-quality AI. As recounted by co-founder Zach Seward (now head of AI initiatives at the New York Times) in a blog post, Quartz has changed hands several times since its founding in 2012. Last week, it was sold to Canadian software company Redbri.

Amidst the growing prevalence of artificial intelligence, the collaboration between DeepSeek and Tsinghua University has garnered significant industry attention. DeepSeek, a Chinese startup, is renowned for its breakthroughs in low-cost inference models. This collaboration aims to further reduce the training costs of AI models, thereby enhancing operational efficiency. DeepSeek recently launched a new low-cost inference model that has generated considerable market excitement. To further optimize this model, DeepSeek's research team...

On March 24, 2025, without any prior announcement, the Chinese AI research institution DeepSeek released the latest version of its flagship language model, DeepSeek-V3-0324, on the Hugging Face platform. This understated yet powerful update quickly sparked heated discussions within the tech community, with numerous developers and AI enthusiasts sharing their initial experiences and expectations. The following is an in-depth report compiled from feedback within the tech community. I. Mysterious Release: A Quiet Debut with 685 Billion...

On March 6, 2025, a new language model called **Light-R1-32B** was officially launched. Built upon the **Qwen2.5-32B-Instruct** model, this mathematical problem-solving tool, specially trained for exceptional mathematical abilities, low training costs, and reproducibility, is a significant highlight in the field of artificial intelligence. The development team xAI stated that Light-R1-32B not only surpasses similar models in performance but also provides significant benefits for academic research and practical applications.

The DeepBeepMeep team recently released Wan2.1GP on GitHub, a video generation model optimized for users with low-end GPUs. Based on Alibaba's Wan2.1, this model aims to provide powerful video generation capabilities to those lacking access to high-performance GPU resources. The launch of Wan2.1GP marks a significant advancement in video generation technology, particularly within the open-source community. Image source note: Image generated by AI, licensed from Midjourney.

Sony's recent promotion of an AI-generated game has met with significant backlash from players due to its perceived low quality and questionable gameplay. The controversy highlights concerns about the use of AI in game development and the potential impact on player experience.

At the 2025 Global Developer Pioneer Conference, SenseTime announced the launch of its open-source low-code platform, LazyLLM, aimed at lowering the barrier to entry for AI application development. Developers can now build complex multi-agent large model applications with approximately 10 lines of code. LazyLLM not only helps users rapidly develop AI applications but also simplifies the development process through intuitive operations, making it as easy as building with blocks. The name "LazyLLM" reflects SenseTime's goal of enabling effortless AI application development.