深度推理大模型，去魅“天价报志愿”

Core Insights - The article discusses the evolving landscape of AI-assisted college application services, particularly in the context of high school students filling out their college applications in China. It highlights the limitations of current AI services and the potential for future advancements through deep reasoning technology. Group 1: Current State of AI College Application Services - The popularity of high-priced college application services is on the rise, with products priced at 12,999 yuan and 18,999 yuan selling out quickly [1] - Current AI college application products primarily rely on database technology, matching students' information with historical admission data to generate recommendations [2][3] - The main products in the market before 2024 are based on data filtering rather than advanced AI models [2] Group 2: Advantages of Deep Reasoning Technology - Deep reasoning technology is expected to enhance the accuracy of college application recommendations, addressing the complexities of individual student profiles [5] - The technology allows for real-time information retrieval from the internet, providing more targeted advice compared to traditional database-linked products [3] - A notable improvement in deep reasoning models has been observed, with significant advancements in performance, such as achieving a score of 145 in a national math exam [3][4] Group 3: Innovations in AI College Application Products - New algorithms utilizing graph embedding technology have been developed to analyze the relationships between different colleges and majors, improving the recommendation process [5] - The introduction of a "volunteer report" feature simulates the decision-making process of a human advisor, enhancing user experience and accuracy [6][7] - The AI college application services are becoming more accessible and affordable compared to traditional services, which can cost thousands of yuan [8] Group 4: Limitations and Future Outlook - Despite advancements, AI college application services still have shortcomings, such as occasional inaccuracies in recommendations, indicating that human advisors remain essential [9] - The collaboration between AI and human advisors is seen as complementary, with AI helping to bridge information gaps in the college application process [9] - The ongoing development of AI technology is expected to lead to a more rational and informed college application market [9]