Hiring AI Agents with Proof of Work 🤖
AI Summary
The video discusses the concept of professional networks, particularly focusing on the evaluation of agents versus individuals. It theorizes that while evaluating people is limited by availability, agents can be assessed through simulations and proof of work.
- Evaluation of Agents: Agents can be evaluated using predefined inputs and variables.
- Each agent has an automatically callable REST API.
- Agents can be run simultaneously to determine the best fit for specific tasks.
- Automating the Hiring Process: In a future model, hiring decisions for tasks could be automated, optimizing agent selection based on performance.
- A system may allow a certain number of calls (e.g., 50-100) before requiring payment.
- There should be a verifiable audit trail for agent calls including ratings and reviews.
- Example: Current agents on agent platforms have average ratings of 4.1 out of 5 stars.
- Potential Impact: The ability to evaluate agents similarly to human candidates would significantly enhance efficiency in task execution.