Teaching AI to understand the structure and logic of press dies and to accurately represent them through diagrams and videos is a challenge far greater than expected. Despite repeated attempts to explain the functions of each die component and its role in the process using visuals, discrepancies and misinterpretations still arise. This has made us keenly aware of how difficult it is to instill in AI the “experience-based intuition” that humans take for granted.
For example, simply presenting a diagram with “punch and die,” “stripper plate,” and “guide post” does not enable AI to fully grasp how these components interact or the phenomena they generate. Additionally, the nuances of troubleshooting and fine adjustments within the process require years of expertise. Conveying this to AI feels like navigating in the dark.
Expressing Knowledge in Words and Structuring a Database
Through this experience, we have realized the importance of explicitly articulating know-how and expertise in words and storing them in a structured database. Specifically, the following steps are necessary:
- Clearly verbalizing the cause analysis and countermeasures when facing problems or defects.
- Organizing the roles and functions of components in simple, comprehensible language.
- Structuring this information in a way that AI can effectively reference.
Even if AI cannot yet “fully understand” the intricacies of metal forming, this approach will allow it to provide insightful advice and support problem analysis based on accumulated know-how.
Expectations for the Future of AI
AI technology will continue to advance, potentially enabling it to deeply understand processes from diagrams and videos, making problem analysis and solution proposals more seamless. It is even conceivable that in a few years, AI could fully grasp the principles of die design and provide precise solutions.
However, this future depends on the trials, errors, and structured knowledge we are compiling today. The insights gained through this challenging process will form the foundation for AI’s evolution. As we look forward to the moment when AI can inherit and expand upon our expertise, we will continue to take on new challenges.
