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kept by eddie jan 19

The value of AI agents lies in the RL-trained model, not in code abstractions; an agent is just a loop that calls the model until it stops.

Training Composer for longer horizons
Cursor trains Composer to generate its own compact summaries mid-task, reducing context errors by 50% while using 80% fewer tokens than traditional prompting.
also on #reinforcement-learning, #ai-agents, #software-engineering
Agents are not thinking, they are searching
AI agents are not thinking but searching through trajectories toward reward signals; environment and context window bound the search space.
also on #reinforcement-learning, #ai-agents, #software-engineering