[Hacker News](https://github.com/Danau5tin/ai-trains-ai)
[Show HN: I RL-trained an agent that trains models with RL (for ~$1.3k)](/story/cmrlqn6do000813bazlrtb3ya)
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
An AI agent was trained to autonomously train other models using reinforcement learning for approximately $1.3k, enabling the potential automation of model training at a significantly lower cost, which could reduce the expenses associated with training large language models and agents in production environments.
An agent can now train other models using RL for ~$1.3k total cost. This means you can automate hyperparameter tuning, architecture search, or even full model optimization loops in production without manual intervention, cutting weeks of engineering time and thousands in cloud spend per experiment. Expect faster iteration cycles but also new failure modes—agents may converge on brittle or overfit solutions, so you’ll need tighter eval guardrails.