Based of Tom Blomfield's talk about self improving companies with AI, he talks about loops present in companies that make AI agents self improve. He talks about loops that look like this :
- Data acquisition / feeding mechanism
- Policy layer
- Tools
- Quality Gates
- Learning Mechanism
The policy layer is the one that looks the most abstract to me, what does this look like ? Is this a CLAUDE.md ? Is this a state action graph like what you learn when you start RL ? What does this look like ?
The policy layer is the one that looks the most abstract to me, what does this look like ? Is this a CLAUDE.md ? Is this a state action graph like what you learn when you start RL ? What does this look like ?