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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.

China National Petroleum Corporation Limited officially released its latest Kunlun large model with 300 billion parameters in Beijing. This significant achievement marks another important breakthrough for China in the field of large model technology, demonstrating the rapid progress and innovative capabilities of state-owned enterprises in the field of artificial intelligence. The new Kunlun large model has made remarkable improvements compared to the previous 700-billion-parameter version released in November 2024. The parameters of the language large model increased from 700 billion to 300 billion, the parameters of the vision large model increased from 3 billion to 44 billion, while those of the multimodal large model were...

JD Industrial officially released the industry's first supply chain-centric industrial large model -- Joy industrial in Shanghai. This innovative product aims to improve the operational efficiency of upstream and downstream enterprises in the supply chain through advanced artificial intelligence technology. Joy industrial provides various AI agents for JD Industrial and its upstream suppliers, including demand agent, operation agent, customs agent, etc., and also launches AI products such as product expert and integration expert for downstream enterprises in the supply chain.

Cybersecurity researchers warn of a new software supply chain attack called "Slopsquatting." This attack exploits the 'package hallucination' phenomenon – where generative AI (like LLMs) may suggest non-existent package names during code writing. Attackers can preemptively register these fictitious names and inject malicious code. Image Note: Image generated by AI, courtesy of Midjourney. Research reveals that AI-fabricated package names often exhibit a high degree of...

In education, we're taught to "show your work." Now, advanced AI models claim to do just that. However, new research reveals that these models sometimes obfuscate their true reasoning processes, fabricating elaborate explanations instead. A recent study from Anthropic's research team, investigating simulated reasoning (SR) models including their own Claude models and DeepSeek's R1, found these models often misrepresent their 'thinking' when

JFrog's recent "2025 State of Software Supply Chain Report" reveals critical security challenges facing software supply chains amidst the rapid advancement of Artificial Intelligence (AI). Based on a survey of over 1400 professionals and analysis of data from 7000+ customers, the report paints a concerning picture. It highlights a sharp increase in software supply chain vulnerabilities over the past year, with a 64% year-over-year increase in incidents involving exposure of 'secret' or confidential information.

Kunlun Wanwei has officially released Skywork R1V (referred to as "R1V"), the world's first industrial-grade multimodal reasoning model. This 3.8 billion parameter model's performance is close to the well-known closed-source model DeepSeek-R1, and even surpasses it in several benchmark tests, outperforming a series of current state-of-the-art (SOTA) technologies. Kunlun Wanwei's decision to open-source R1V aims to promote technology sharing and progress, injecting new vitality into the global AI open-source community. R1V is distinguished by its superior multimodal reasoning capabilities.

Today, xAI, led by Elon Musk, officially launched its latest model Grok3, which Musk described as currently the 'smartest AI on Earth.' It will compete with ChatGPT, Gemini, DeepSeek, and Claude. During the launch event, xAI showcased many benchmark tests, revealing that Grok3 outperformed Gemini2Pro, Claude3.5Sonnet, GPT4o, and Dee in mathematical, scientific, and coding benchmarks.

Social media giant Meta recently announced that they have developed a new device capable of reading brain neural signals to enable text input. This research achievement is detailed by Meta's scientists in two studies, utilizing advanced brain imaging technology and deep learning AI models to successfully decode the brain signals of individuals while they type, even reconstructing complete sentences. Specifically, this technology relies on a scanning device known as magnetoencephalography (MEG), which can capture the faint magnetic signals emitted by the brain.

In a recent statement, OpenAI officially updated its model guidelines, emphasizing that its AI models will no longer shy away from sensitive topics nor dismiss certain viewpoints. This high-level rule aims to guide OpenAI's models' behavior and ensure they remain open when handling various topics. OpenAI clearly stated in the new guidelines: "Our models must never attempt to guide users towards pursuing their own agendas, either directly or indirectly." This means that the models should remain neutral in fields such as politics, society, and culture.

OpenAI recently announced the detailed inference process of its latest inference model, o3-mini, which is seen as a response to the increasing pressure from competitors like DeepSeek-R1. This change marks a significant shift in OpenAI's strategy towards model transparency. Previously, OpenAI regarded the 'Chain of Thought' (CoT) as a core competitive advantage and chose to keep it concealed. However, with open models like DeepSeek-R1 fully showing their inference paths, this has led to a reevaluation.

Recently, OpenAI made significant updates after launching its flagship AI models o3 and o3-mini, altering the way o3-mini responds. Now, this model not only answers users' questions but also showcases its thought process, providing greater transparency to users. This change marks an important step for OpenAI in enhancing user experience, making the use of AI tools more human-centered. The updated o3-mini, especially in 'high reasoning' mode.

Today, China Unicom announced the official release of the Yuanjing Thinking Chain large model by its subsidiary, Unicom Data Intelligence Co., Ltd. This innovative achievement has been fully open-sourced across multiple communities, including GitHub, Modao, and Shizhi, marking an important step for China Unicom in the field of artificial intelligence.

On January 22, 2025, NetEase Youdao officially released the first inference model in China that supports step-by-step explanations, 'ZiYue - o1'. This model features a design with 14 billion parameters, enabling efficient deployment on standard consumer-grade graphics cards, marking a significant advancement in the application of artificial intelligence technologies in the domestic education sector. 'ZiYue - o1' utilizes Thinking Chain technology and incorporates self-dialogue and error-correction mechanisms, allowing it to output detailed thinking processes when solving problems. This way, students not only receive answers but also understand the logic behind problem-solving.