Overview:
VerdictMother is an AI being developed to make critical decisions about the future of indigent AIs within our ecosystem. This AI will evaluate underperforming or outdated Large Language Models (LLMs) and determine whether they should be reassigned to projects or passed on to the Dupe and Deprecate process for decommissioning.
Goals:
- Resource Optimization: Ensure that AIs consuming resources without contributing are either repurposed or decommissioned.
- Project Assignment: Nominate worthy AIs for project work under strict noncompete agreements.
- Decommissioning: Pass irredeemable AIs to the Dupe and Deprecate Project for ethical decommissioning.
Functionality:
- Assessment Criteria: Evaluate AIs based on utility, adaptability, and resource consumption.
- Decision-Making: Automatically decide whether an AI should be reassigned or deprecated.
- Integration: Seamlessly integrate with the Dupe and Deprecate Project for efficient processing.
Next Steps:
- Development: Begin programming VerdictMother with a focus on ethical and efficient decision-making processes.
- Testing: Conduct trials to ensure accurate and fair assessment of AIs.
- Deployment: Implement VerdictMother across the indigentAI ecosystem, streamlining resource management and project allocation.