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Recursive LLM Training Cost.

Models the exponential cost of training future LLMs on AI-generated data, calculating the "Data Poisoning" premium required to clean synthetic datasets for model integrity.

## The Ouroboros of Information

As AI content floods the internet, AI models are beginning to eat their own tail. Training an AI on AI output leads to 'Model Collapse'—a loss of variance and truth.

### FAQ

**Q: Why does training the next model cost 10x more?**
A: The Verification Tax. Five years ago, data was 'Human-Made' and thus high-variance. Today, 40%+ of web text is LLM-generated. To prevent the model from becoming a 'copy of a copy,' developers must spend billions on human annotators to filter out the synthetic sludge. This tool models the 'Purification Premium' that will define the next decade of AI development.