Core Viewpoint - The article discusses the current state of AI search technology, highlighting a significant disconnect between technological advancements and user experience, leading to user dissatisfaction and a perception of regression in AI applications [5][7][11]. Group 1: AI Search Technology Developments - Baidu announced its largest overhaul in a decade during its AI Day, revamping its search product and ecosystem [6]. - Major tech companies, including Apple and Google, are also competing in the AI search space, indicating a trend towards significant changes in search technology [6]. Group 2: User Experience and Perception - Users express disappointment with AI search tools, feeling that they have regressed rather than improved, with high error rates and inaccuracies [10][14]. - A user named Ma Shao reported that AI search tools often provide incorrect information, leading to a loss of trust in these applications [14][25]. Group 3: Disconnect Between Development and User Needs - AI developers are criticized for focusing on commercialization rather than addressing actual user needs, resulting in a gap between product offerings and user expectations [11][12]. - The article emphasizes that many AI products are developed without proper market research, leading to a lack of innovation and relevance for ordinary users [37][40]. Group 4: The Spread of Misinformation - The inaccuracies in AI search results can lead to the spread of misinformation, as users may unknowingly trust incorrect data generated by AI models [28][30]. - An example is provided where a false apology from DeepSeek was circulated, demonstrating the potential for AI-generated misinformation to cause real-world consequences [29][32]. Group 5: Future Directions for AI Development - Experts suggest that for AI to better serve ordinary users, there needs to be a focus on genuine innovation and user-centered design in product development [39][41]. - The article concludes with a call for patience from users, as AI technology is still evolving and may eventually meet user needs more effectively [42].

Core Insights - The Kunpeng Ascend Developer Conference 2025 was successfully held in Beijing, focusing on promoting domestic computing power innovation and building a diverse software ecosystem [1] - Huakun Zhenyu showcased its AI full-stack solutions and emphasized collaboration with Huawei and other partners to enhance the AI development experience [1][4] Group 1: AI Development Solutions - Huakun Zhenyu presented its self-developed Yuanqi AI development platform, allowing developers to create intelligent agents and automate knowledge graph generation with zero coding [4] - The "Kaduoduo" AT9508 G3 inference server was highlighted, supporting the highest specifications in the ecosystem and enabling flexible deployment of domestic open-source models from 7 billion to 671 billion parameters [6] Group 2: Open Source Community - Huawei launched the openFuyao open-source community during the conference, with participation from several key organizations, including Huakun Zhenyu [8] - Huakun Zhenyu's executives were appointed to leadership roles within the community, indicating a commitment to long-term development and technical planning [8] Group 3: Future Directions - The company aims to address the fragmentation of industry model deployment through the Tianxun CubeX intelligent platform, enhancing resource utilization in computing clusters [10] - Huakun Zhenyu plans to continue its focus on "Kunpeng + Ascend" technologies, driving innovation in domestic computing power and providing diverse solutions for the AI era [10]

Group 1 - The core viewpoint of the article emphasizes the practical experiences of AI entrepreneurs transitioning from ideas to implementation, highlighting AI as a significant opportunity in the current era [1][6]. - The live broadcast will feature discussions on AI development, specifically the journey from demo to actual launch, addressing the challenges faced in this process [4][6]. - The event will include insights from multiple AI founders, focusing on various aspects of AI development, including product independence, system architecture, and collaborative research and development [5][6][7]. Group 2 - The live session is scheduled for May 15, from 20:00 to 21:30, providing a platform for participants to engage with industry experts [4]. - Participants are encouraged to submit questions for the speakers, which will be addressed during the live broadcast [10].