The AI Q&A platform Perplexity recently announced the official launch of its shopping feature, allowing users to shop directly through the platform and enjoy the convenience of one-click checkout and AI product recommendations. This new feature aims to enhance the online shopping experience by optimizing its search interface, helping users easily find the products they need. Perplexity's shopping feature is connected with multiple e-commerce platforms, including Shopify. When users perform product searches, Perplexity automatically aggregates and analyzes data from these sources.

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.

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.

Are you looking for ways to improve your study efficiency? I discovered an amazing AI tool - Quizzio (https://www.aibase.com/tool/33742), which has completely transformed my learning experience! Quizzio is not just a simple quiz generator; it uses artificial intelligence technology to provide each student with a genuinely personalized learning experience, and I simply had to share it with everyone. Core Features of Quizzio: AI-Powered Personalized Learning.

On September 26, the smart robotics company "Blue Technology" launched the new quadruped robot BabyAlpha A2, stirring a whirlwind in the domestic smart home market with its multi-modal interaction capabilities and approachable price. BabyAlpha A2 is not only an aesthetically pleasing intelligent companion but also a pioneer in home intelligence. As the country's first AI quadruped robot with multi-modal interaction capabilities, it opens the door to smart living for ordinary households with a price of under 10,000 yuan. This robot integrates multiple advanced features, including unique...

At the 2024 Baidu Cloud Intelligence Conference, Baidu Smart Cloud announced that the Qianfan Large Model Platform has successfully upgraded to version 3.0 and released its latest 'report card'. The platform has assisted users in fine-tuning 30,000 large models and developing over 700,000 enterprise applications, with the daily call volume of the Wenxin large model exceeding 700 million. To meet the needs of enterprises in the large model industry, Qianfan Large Model Platform 3.0 has undergone comprehensive upgrades on multiple levels. The platform now supports calls to nearly a hundred domestic and international large models, including the Wenxin series.

To lower the barrier for small and medium-sized enterprises to apply artificial intelligence technologies and accelerate the digital transformation process, DingTalk has recently launched new products and features based on 'Low-Code + AI' and 'Multi-dimensional Tables + AI'. These products and features aim to help businesses quickly implement AI applications.

On June 24, the QQ Browser's AI Assistant, based on the Hunyuan technology, received a significant upgrade. This upgrade primarily launches the AI Assistant on the desktop version and provides a new access point for the AI Assistant across both mobile and desktop platforms. The upgraded AI Assistant will fully support cross-device usage for users on both mobile and desktop, allowing for a complete experience from asking questions to locating excerpts.

The 'AI Q&A Robot' under ZhiDeMai Technology is set to launch a personal shopping assistant 'XiaoZhi' through a new feature that has been approved for filing. This assistant will provide users with consumer decision-making support through a conversational format, helping them quickly identify quality products. The new feature is expected to go live by the end of February this year.

OpenAI's latest project Q* has garnered attention, with experts suggesting it may be a traditional attempt to improve ChatGPT. Q* involves 'process supervision' technology led by OpenAI's chief scientist, Ilya Sutskever, aimed at reducing logical errors in large language models. It may utilize synthetic data and reinforcement learning to train language models to tackle specific tasks, such as simple arithmetic problems. While the clues surrounding the Q* project are insufficient to warrant panic, it ultimately depends on individual judgment about the potential impacts of artificial intelligence.

The OpenAI Q* project has been exposed, revealing that AI is secretly programming itself in the shadows. Employees have disclosed that the AI has made breakthroughs, dynamically reconstructing neural networks leading to profound changes. Leaked documents indicate that Q* is capable of breaking encryption, prompting OpenAI to issue a warning to the NSA. Experts assess the authenticity of the documents as high, potentially threatening information and financial systems. Netizens are in an uproar; if true, the world is on the brink of entering the AGI era.

The Q* project, secretly researched by OpenAI, is considered a key step towards Artificial General Intelligence (AGI). Led by Chief Scientist Ilya Sutskever, the project has garnered widespread attention. As Q* progresses, concerns over AI safety have emerged, and internal demonstrations have sparked discussions. Q* is based on the principles of Q-learning and aims to find optimal strategies to maximize cumulative rewards.