Core Viewpoint - The article discusses the advancements and effectiveness of FinGPT, a financial-focused AI research tool, highlighting its superiority over other deep research products in the market [5][19]. Group 1: Product Features and Performance - FinGPT is described as the first truly financial-focused autonomous agent in China, which has generated significant interest due to its specialized capabilities [1][5]. - The tool consumes approximately 200 points per task, indicating its high computational demand for advanced features [2][3]. - FinGPT's performance in investment research is ranked first in internal tests, showcasing its efficiency and effectiveness compared to other products [21]. Group 2: Data Sources and Credibility - FinGPT leverages proprietary data from major financial institutions, including real-time research memos, strategy comments, and expert interviews, enhancing its reliability [9][19]. - The AI tool provides results sourced from licensed institutions, which increases the credibility of the information compared to other products that may rely on less reliable sources [11][19]. Group 3: User Experience and Interface - The interface of FinGPT allows users to visualize the AI's workflow, breaking down complex questions into manageable tasks and generating detailed research reports in a matter of minutes [13][16]. - Users can share generated reports easily, which enhances collaboration and knowledge sharing within the financial community [16][19]. Group 4: Industry Context and Future Outlook - The article emphasizes the importance of specialized AI tools in the financial sector, suggesting that general-purpose AI may not be as effective in niche areas [6][23]. - The evolution of FinGPT reflects a broader trend in the industry where AI is becoming an essential tool for analysts, potentially replacing basic data-gathering roles while augmenting more complex analytical tasks [35].