Hithink's Wencai 2.0: A Slow-Thinking Upgrade

Hithink has unveiled a major upgrade to its Wencai 2.0, infusing it with “slow thinking” wisdom to create a more rational investment decision-making assistant.

In the financial market where information and opportunities are constantly changing and interwoven, investors need not only to quickly grasp the market pulse but also to think and make decisions calmly and rationally. As the world's first intelligent investment advisory product to apply large-scale model technology to the investment field, Hithink's Wencai 2.0 has today undergone a revolutionary upgrade. Through deep reinforcement learning, the abilities of "self-reflection" and "logical reasoning" have been comprehensively enhanced, enabling the AI advisor to truly understand and meet Investors' investment needs.

I. Inspiration for the Upgrade: Derived from the Nobel Laureate's Model of Thinking

The design inspiration for this upgrade comes from Daniel Kahneman's "Thinking, Fast and Slow," the work of the Nobel Prize winner in Economics. Just as human thinking is divided into the intuitive "fast system" and the in-depth "slow system," Wencai 2.0 has focused on strengthening the AI's "slow thinking" capabilities, elevating the depth of rational analysis to new heights.

II. Five Core Upgrades to Reshape the Investment Decision-Making Experience

1.In-Depth Reasoning Analysis: By using chain-of-thought technology, the model breaks down complex investment problems into clear analytical steps, similar to the in-depth analytical reasoning in human slow thinking. It attempts to understand the logical relationships behind the problems and fully grasp the logic behind market trends.

2.Intelligent Knowledge Utilization: Real-time access to professional databases and research resources to aid thinking, just as humans consult materials and use external resources when facing difficult problems. This ensures that investment advice is based on the latest and most comprehensive information.

3.Self-Correction Mechanism: Using a reflective mechanism, the model continuously evaluates and optimizes its own output. Similar to human metacognition, it adjusts and iterates plans when problems or errors are detected, improving the quality of output.

4.Complex Task Handling: When dealing with tasks that require high precision and complex reasoning, such as stock diagnosis, trading advice, and event context analysis, the model uses multi-level planning and analysis to provide more accurate investment references for users.

5.Visible Reasoning Process: Clearly displaying the entire reasoning process from data to conclusions, and making reference information traceable, so that investment advice is no longer a "black box."

Hithink's Wencai 2.0 empowers investment with powerful logical reasoning. It is expected to cooperate with investors, leveraging this intelligent tool to uncover wealth - building opportunities and achieve ideal returns in the financial market.