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Recently, a research team from Renmin University, Shanghai Artificial Intelligence Laboratory, University College London, and Dalian University of Technology revealed an important finding in the reasoning process of large models: when the model is thinking, the 'thinking words' it uses actually reflect a significant increase in its internal information. This research result provides a new perspective for better understanding the reasoning mechanisms of artificial intelligence through methods of information theory. You may have seen large models output some language that seems human-like when answering questions, such as "Hmm..." or "Let me think...".

According to NetEase Technology, JD.com's layout in the field of embodied intelligence is accelerating rapidly. The embodied intelligence brand JoyInside under JD.com has reached cooperation with more than ten leading robot companies, becoming the core engine for JD.com to seize the smart robot market. According to insiders, JoyInside is supported by JD's large model technology, focusing on providing smart interaction capabilities between robots and consumers. Its product strategy focuses on scenario-based applications such as one person, one dog, and one toy. Since its launch, the brand has successfully attracted leading enterprises from multiple niche fields to join.

Microsoft CEO Satya Nadella recently announced on a social platform that Microsoft has officially launched the revolutionary medical AI system MAI-DxO. This innovative system stands out with its unique "model-agnostic" design, allowing it to flexibly adapt to language models of different manufacturers and capabilities, thereby significantly improving their diagnostic performance. More excitingly, MAI-DxO is not only able to simulate the diagnostic process of real doctors, but also demonstrated diagnostic accuracy far exceeding that of professional physicians in tests, while greatly reducing the cost of medical diagnosis. Microsoft has released test data.

Meta is undergoing a major internal restructuring, deciding to consolidate all artificial intelligence-related teams into a new unit called "Meta Superintelligence Labs." This information was disclosed by Bloomberg, according to an internal memo from Meta, which shows that CEO Mark Zuckerberg hopes to focus the company's efforts on developing "superintelligence" artificial intelligence.

In a recent interview, Sam Altman, the CEO of OpenAI, expressed his concern about users' excessive trust in the AI chatbot ChatGPT. Although ChatGPT is becoming increasingly widely used around the world, Altman pointed out that this technology is not without flaws, and users should remain cautious when using it. In the first episode of OpenAI's official podcast, Altman mentioned that although ChatGPT is beloved by many and applied in various fields

In the context of artificial intelligence becoming increasingly prominent, OpenAI's CEO Sam Altman recently issued an important warning. He pointed out that although his company's chatbot ChatGPT has gained widespread application and recognition globally, the level of user trust in it has surprised him, even caused some concern. In a recent interview, Altman emphasized that users should maintain a cautious attitude towards ChatGPT. Altman at OpenAI

China's first open-source large model in the marine field, OceanGPT (Cangyuan), was officially launched in Hangzhou, Zhejiang. This innovative achievement was developed by the National Key Laboratory of Marine Precision Sensing Technology at Zhejiang University, marking a significant step forward for China in the field of marine technology. OceanGPT has basic capabilities for answering questions about marine knowledge and can interpret multi-modal data such as sonar images and marine observation maps in natural language. This capability allows OceanGPT to perform exceptionally well when handling complex marine data. The model also adopts

Google launched a new experimental app called Doppl on Thursday in the US for iOS and Android platforms, aiming to let users see how different clothes look on them through artificial intelligence technology. The app uses AI to generate virtual images of users wearing clothes, even converting static images into dynamic videos, providing an immersive try-on experience. The core feature of Doppl allows users to upload full-body photos, then import photos or screenshots of clothing to try them on their digital version.