Google AI Studio and Gemini API have recently launched the 'Real-Time Connection with Google Search' feature, aimed at helping developers improve the accuracy of AI model responses by integrating real-time data from Google Search. With this update, the Gemini 1.5 model can retrieve the latest information from Google Search, enhancing the accuracy and transparency of responses. Developers can directly access this feature in the 'Tools' section of Google AI Studio or in the Gemini API.

With the development of AI technology, many difficult problems in learning scenarios are being solved efficiently. On November 1, Quark fully upgraded its 'AI Question Search' product, making the process of searching and solving problems faster and more capable. Users can find various new and difficult questions through their smartphones, tablets, and computers, and the AI will provide step-by-step explanations, allowing users to ask questions at any time. After launching the 'One-Stop AI Services' and 'System-Level All-Scenario AI Capabilities', Quark's AI capabilities are being applied to learning scenarios, helping users enhance their learning abilities and efficiency.

Baido's official Weibo announced on October 31 that Baido founder Li Yanhong will deliver a one-hour keynote speech at the Baido World 2024 conference, which will be held on November 12. The poster for this speech integrates key insights from Li Yanhong's recent appearances. On the application level, he focuses on the development directions of natural language processing, intelligent systems, and search technology. Regarding industry trends, Li Yanhong pointed out in a previous interview with the Harvard Business Review that despite the inevitability of bubbles, 1% of companies will still stand out in competition.

Meta recently announced that its MobileLLM model is now open to researchers, allowing users to download and use these models for free on the Hugging Face platform, fully integrated with the Transformers library. This initiative aims to promote research and development of large language models (LLMs) on mobile devices, providing a broader range of tools and resources for developers and academia. MobileLLM represents a significant advancement for Meta in the field of mobile AI.

OpenAI has launched a new feature called ChatGPT search, which allows users to quickly obtain the latest web search results through a conversational interface and provides relevant webpage links. This improvement enables users to receive timely answers directly within ChatGPT without switching to traditional search engines. ChatGPT search combines the advantages of a natural language interface with the value of real-time information, such as sports scores, news, stock quotes, and more.

According to a recent report by The Information, Meta is quietly advancing an ambitious plan to develop a dedicated search engine for its AI chatbots. This strategic shift stems from Meta's deep reflection on the significant losses caused by changes to Apple's privacy policies. The search engine project has been under wraps for at least eight months. The company aims to integrate web indexing into Meta AI, thereby reducing its dependence on Google Search and Microsoft Bing.

Is AI actually starting to ‘get smarter’?! The latest research from MIT indicates that the internal structure of large language models (LLMs) astonishingly resembles that of the human brain! This study utilized sparse autoencoder techniques to conduct an in-depth analysis of the activation space of LLMs, revealing three hierarchical structural features that are truly remarkable: first, at the microscopic level, researchers discovered the existence of structures akin to ‘crystals’. The surfaces of these ‘crystals’ are composed of parallelograms or trapezoids, similar to familiar lexical analogies such as ‘man:’

Recently, some media reports indicated that WeChat is conducting gray testing of the AI Q&A feature, allowing some users to input questions in the WeChat search box to trigger the AI Q&A function. The AI Q&A can generate an approximately 400-word response in about 20 seconds and provide 5 reference materials from WeChat official accounts. The test results show that the AI Q&A feature currently mainly cites WeChat official accounts as reference materials.

Today, OpenAI announced the launch of an eagerly anticipated new feature on the ChatGPT web version: users can now easily search through their chat history. This means that everyone can quickly retrieve previous conversations or continue unfinished chats. The gradual rollout of this feature has excited users, especially those who frequently need to review chat content, as it is incredibly convenient. It is reported that Plus and Team users will gain access to this new feature within a day, while Enterprise and