Chroma Research company blog
Context Rot: How increasing input tokens impacts LLM performance
Large Language Models (LLMs) are typically presumed to process context uniformly—that is, the model should handle the 10,000th token just as reliably as the 100th. However, in practice, this assumption does not hold. We observe that model performance varies significantly as input length changes, even on simple tasks…
- Points
- 260
- HN comments
- 59
- Submissions
- 1
- Cited by
- 13 commenters
AI & Machine LearningSoftware Engineering2025
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Jul 14, 2025 | Context Rot: How increasing input tokens impacts LLM performance by kellyhongsn | 260 | 59 |
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Linked from 12 Hacker News comments by 13 different people, from Jul 2025 to Apr 2026.
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