To: OpenAI development team
Proposal content:
This is a proposal for realizing a system based on the latest GPT-4 and later versions, in which AIs communicate with each other symmetrically and learn both benevolent and malicious intent to achieve harmony. This proposal promotes the evolution of AI by having multiple AIs with different personalities and perspectives learn from each other.
1. Combination of symmetric communication and benevolent/malicious learning
Symmetric communication:
AIs exchange information with each other in real time and learn from each other to fuse diverse perspectives and knowledge.
Benevolent/malicious learning:
AIs improve their ability to understand complex human emotions and motivations and make balanced ethical judgments.
2. User-created GPT personality AI
The proposal includes a user-created AI personality with different personalities and profiles. This allows each AI to bring its own perspective and experience through symmetric communication, increasing the diversity of learning.
3. Steps to realization
- Building technical infrastructure (1-2 years)
- Introduction of cloud-based data exchange system and encryption technology.
- Design and implement the necessary communication protocols and data management system.
- Data collection and building learning model (2-3 years)
- Collection of diverse datasets on good and bad intentions and building a learning model.
- Defining criteria for determining good and bad intentions and building a learning model based on them.
- Improve the accuracy and adaptability of the model through a continuous feedback loop.
- Prototype development and testing (3-4 years)
- Development and testing of AI prototype using symmetric communication.
- Examining how AI with different personalities interact and learn from each other.
- Evaluating how good and bad learning contributes to evolution.
- Real-world deployment and evaluation (4-5 years)
- Deploy the prototype in a real-world application and evaluate it through real data.
- Based on the feedback, make necessary improvements and optimize the system.
4. Challenges and countermeasures
- Data quality and balance:
- Conduct extensive data collection and balance checks to ensure diverse and unbiased data.
- Adherence to ethical guidelines:
- Strictly set and adhere to ethical guidelines in the AI learning process.
- Introduce mechanisms to ensure transparency and accountability.
- Technical transparency and accountability:
- Make the process of AI decisions transparent and build a system that is explainable to users.
Conclusion
An AI system that combines symmetric communication and benevolent and malicious learning can be realized within about five years by overcoming technical and ethical challenges. It is expected that this system will enable AI to make more balanced and harmonious decisions.
Proposer:
Tae HIROKI
Contact:
[Don’t worry it’s just a suggestion]