How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text
Web text makes up the majority of pretraining data and is increasingly AI-generated. After applying FineWeb quality filtering, we find that 27.5% of tokens from June 2026 web data are labeled as AI-generated by Pangram, rising to 31.1% by August. Unlike synthetic data or model-collapse setups, this *wild* AI text comes from many models, is written for human readers, and arrives unlabeled in pretraining corpora. How does AI text in the wild affect language model pretraining? To answer this question, we pretrain 800 language models, varying the ratio of added AI tokens to human tokens, and fit scaling laws to held-out losses on both human and AI-generated text. For data-starved models, addi...
| Authors | Jenna Russell, Ben Glickenhaus, Katherine Thai et al. |
|---|---|
| Primary category | cs.CL |
| Published | 30 September 2026 |
| Last updated at source | 30 September 2026 |
Connected in the knowledge graph
- pangram/WildAIDataset · cited by
- rishanthrajendhran/WildOutlinesDataset · cited by
Models and datasets referencing this paper
- pangram/WildAIDataset
- rishanthrajendhran/WildOutlinesDataset
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