Bazi Calculation: The Difference Between AI Fortune Telling and Traditional Fortune Tellers

Bazi is a core theory in Chinese metaphysics, using the combination of birth year, month, day, and hour to predict one's fate. With the rise of artificial intelligence (AI), AI fortune telling has emerged as a new trend, contrasting sharply with traditional fortune tellers. This article explores their differences in terms of theoretical basis, analysis methods, efficiency, cost, personalization, and limitations.

Theoretical Basis and Analysis Methods

1. Traditional Fortune Tellers: Experience and Schools of Thought

Traditional fortune tellers rely on centuries-old systems like Zi Ping or Purple Star Astrology, with different schools offering varying interpretations. For example, some emphasize the balance of the Five Elements, while others focus on the influence of major life cycles.
Their analysis is subjective, requiring years of experience to master complex rules and practical insights.

2. AI Fortune Telling: Data-Driven and Algorithmic Models

AI models, such as DeepSeek-V3, use machine learning to analyze vast amounts of historical data and literature. They can quickly identify patterns like the interplay of the Five Elements or the structure of a Bazi chart.
AI offers standardized outputs, reducing human error and providing instant results.

Efficiency and Cost

1. Traditional Fortune Tellers: High Cost and Low Efficiency

Traditional consultations are time-consuming and expensive, often requiring hours of personalized analysis.
The learning curve is steep, with years of study needed to become proficient.

2. AI Fortune Telling: Low Cost and Instant Results

AI can handle multiple requests simultaneously, delivering results in seconds at a fraction of the cost.
Users can input their birth details and receive basic analyses for free or at a low price.

Personalization and Interaction

1. Traditional Fortune Tellers: Deep Interaction and Flexibility

Traditional fortune tellers can tailor their analysis to specific needs, such as career or relationships, and adjust based on real-time feedback.
They offer emotional support and practical advice, such as remedies for unfavorable life cycles.

2. AI Fortune Telling: Standardized Outputs and Limitations

AI provides template-based reports, lacking the ability to adapt dynamically to user input.
While AI excels in data processing, it struggles with understanding nuanced human emotions or free will.

Controversies and Limitations

1. Traditional Fortune Telling

Subjective interpretations and differing schools of thought can lead to inconsistent conclusions.
Critics argue that its predictions lack scientific validation and may rely on psychological biases.

2. AI Fortune Telling

AI models may perpetuate cultural biases or deterministic views present in historical data.
They cannot replace the emotional connection and complex decision-making offered by human practitioners.

Future Trends: Complement or Replace?

Currently, AI and traditional fortune tellers complement each other:

AI as a Tool: Handles basic chart analysis, freeing up time for human experts.
Human Expertise: Remains essential for deep consultations, emotional support, and personalized solutions.

In the future, advancements in AI and multimodal interaction may lead to a hybrid model, combining the strengths of both approaches.

Conclusion

AI fortune telling and traditional fortune tellers each have unique strengths: AI excels in efficiency and cost, while traditional methods offer personalization and emotional depth. While AI is reshaping the field, the core value of metaphysics lies not just in prediction but in philosophical reflection and human connection. Together, they are driving the modernization of this ancient practice.