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.

The Shanghai Municipal Cyberspace Administration announced the latest registration notice for generative AI services, aimed at further promoting the innovative development and standardized application of generative AI in the city. According to the requirements of the 'Interim Measures for the Management of Generative AI Services', Shanghai has orderly carried out the filing work for generative AI services and registered services that call the registered model capabilities through API or other methods. As of now, Shanghai has added 9 newly registered generative AI services, bringing the total number of registered services to 63.

In a recent strategy meeting, Google CEO Sundar Pichai told employees that 2025 would be a 'critical' year for the company's development. According to a report from CNBC, the meeting took place on December 18, where Pichai and other executives, dressed in holiday sweaters, discussed priorities for the coming year. Pichai emphasized the significance of this moment, stating, 'I believe 2025 will be critical. We must internalize the urgency of this moment; as a company, we need to accelerate, and the risks are high.' He mentioned the current

Thailand's Ministry of Industry recently announced the introduction of an artificial intelligence (AI) system to enhance the regulation of counterfeit products sold on online platforms. Pongpol Yodmuangcharoen, the secretary of the ministry's industrial reform and innovation committee, stated on Wednesday that the proposal was discussed during the committee's meeting on December 20. The committee learned during its second meeting on December 20 that a study indicated the ministry's AI system could monitor and detect 100,000 items daily.

On December 24, the Shanghai Municipal Government Office announced the 'Work Plan for the Development of Medical Artificial Intelligence in Shanghai (2025-2027)'. The plan clarifies the main tasks and goals for the next three years, aiming to respond to the national strategic deployment of 'AI + Action'. By promoting deep integration of medical innovation and artificial intelligence, it seeks to transform Shanghai into a globally influential hub for innovation, application demonstration, and industrial development in medical AI technology.

In 2024, the global AI craze continues to rise, and Thailand is no exception, standing on the brink of an explosion in artificial intelligence (AI). Imagine strolling through the streets of Bangkok, where everything around you is quietly changing. Restaurants have smart ordering systems that can converse with you fluently in Thai, hospitals have AI diagnostic systems capable of accurately analyzing your health status, and even the shared bicycles on the roadside are equipped with smart navigation. This is no fantasy; it is the ongoing AI transformation in Thailand. Image source note: The image is generated by AI, and the image is authorized.

In the age of AI, large language models (LLMs) are akin to martial arts secrets; their training processes consume massive computing power and data, much like martial arts experts who have spent years in secluded training. The release of open-source models is like these experts sharing their secrets with the public, but they come with certain licenses (such as Apache 2.0 and LLaMA 2 Community License) to protect their intellectual property (IP). However, the world can be treacherous, and incidents of 'shelling' are bound to occur. Some developers claim they have trained new LLMs when, in fact, they are using other foundational models (like Lla