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The Silicon Base Flow platform has launched the open-source MoE model Kimi K2 developed by Moonshot AI. The model has a total of 1T parameters and 32B activated parameters, supports a context length of 128K, and performs excellently in coding and agent tasks. The pricing is 4 yuan per million tokens for input and 16 yuan per million tokens for output. New users can get 14 yuan in trial credit upon registration. The model has three technical advantages: 15.5T tokens of large-scale training, MuonClip optimizer for stable expansion, and design optimized for agent tasks. Tests show that it excels in coding

Recently, Hon Hai Precision Industrial Co., Ltd. (commonly known as Foxconn) submitted a trademark registration application for "FoxBrain" to the Trademark Office of the National Intellectual Property Administration. This AI inference large model is not only Foxconn's first attempt but also the first AI model of this type in Taiwan. According to public information, the international classification of this trademark is scientific instruments, and it is currently in the "waiting for substantive examination" status. "FoxBrain" is an AI inference large model launched by the Hon Hai Research Institute, covering data analysis

Recently, ERGO Innovation Lab and ECODYNAMICS conducted a study focusing on how insurance-related content is displayed in AI-driven search. The research analyzed over 33,000 AI search results and 600 websites, exploring the preferences of large language models (LLMs) such as ChatGPT when processing this content. The study found that LLMs tend to prioritize content that is easy to read, well-structured, and trustworthy, which closely aligns with traditional SEO strategies.

New Oriental officially launched its first consumer-facing original AI education product - New Oriental AI 1-on-1 today. This is not only a major breakthrough in teaching methods, but also marks a critical step in New Oriental's strategic layout of "Education + AI." The core competitiveness of New Oriental AI 1-on-1 lies in providing learners with a high-frequency interactive 1-on-1 learning experience. The AI teacher can realistically reproduce the learning environment, achieving real interaction and real Q&A. At the same time, the AI teacher is patient, responsible, proficient in teaching, and can provide timely feedback, as well as praise and encourage students.

Ant Group officially launched the AI health application "AQ" on June 26, offering more than 100 AI functions such as health education, medical consultation, and report interpretation. It connects over 5,000 hospitals, nearly one million doctors, and nearly 200 AI avatars of famous doctors nationwide. The application is now available on major app stores. Han Xinyi, CEO of Ant Group, stated: Ant hopes that through AQ, everyone will have a trusted health assistant, becoming a helpful assistant for universal health and an accessible medical aid. Intelligent questioning and multimodal recognition address medical challenges. Facing nearly 75% of Chinese

Anthropic, an American startup focused on generative artificial intelligence, recently announced the launch of a new feature called "Artifacts," which allows users to create personalized applications. Users can create by means of simple conversations without any programming knowledge. This feature's release marks an important step for Anthropic in the field of artificial intelligence application development. The Artifacts feature was initially launched last June and became available to all users in August. Users can access it next to the conversation window.

Recently, Tencent Cloud officially launched the first full-chain AI-powered application development platform in China – AI Builder. This platform significantly reduces the threshold for application development through natural language processing technology, allowing ordinary users without technical backgrounds to independently create mini-programs or web applications, providing strong support for the realization of creativity. In traditional application development processes, users often need to master programming languages, understand database design, configure servers, and other complex skills, which is undoubtedly an insurmountable obstacle for non-professional developers.

On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

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.

In the rapid development of technology, the application of artificial intelligence (AI) is becoming more and more widespread. Many people are beginning to look forward to the rise of the "agent" technology. An agent refers to an intelligent program that can work autonomously and accomplish specific goals. Recently, discussions about AI agents have been flourishing, but existing technologies still have a long way to go before achieving true intelligent agents. Imagine if we could have an AI agent capable of automatically writing academic papers. It could delve into learning how to write papers, analyze data, and conduct literature reviews after receiving datasets and research fields...

Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

The independent AI application Meta AI launched by Meta has drawn extensive attention from users. However, this application has also revealed serious privacy issues. Many users unintentionally publicly share private conversations with chat bots, causing their sensitive information to be exposed in public view. The Meta AI application allows users to post conversation content to social platforms via a sharing button after interacting with the AI. But surprisingly, many users are unaware of this, and the content they post