Uploaded July 2025 | Updated September 2026, 2 weeks ago
Paper: research.trychroma.com/context-rot
Abstract:
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.
In this report, we evaluate 18 LLMs, including the state-of-the-art GPT-4.1, Claude 4, Gemini 2.5, and Qwen3 models. Our results reveal that models do not use their context uniformly; instead, their performance grows increasingly unreliable as input length grows.
Authors: Kelly Hong, Anton Troynikov, Jeff Huber
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Paper: research.trychroma.com/context-rot
Abstract:
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.
In this report, we evaluate 18 LLMs, including the state-of-the-art GPT-4.1, Claude 4, Gemini 2.5, and Qwen3 models. Our results reveal that models do not use their context uniformly; instead, their performance grows increasingly unreliable as input length grows.
Authors: Kelly Hong, Anton Troynikov, Jeff Huber
Links:
Homepage: ykilcher.com
Merch: ykilcher.com/merch
YouTube: youtube.com/c/yannickilcher
Twitter: twitter.com/ykilcher
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If you want to support me, the best thing to do is to share out the content :)
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![[ML News] Llama 3 changes the game](https://i.ytimg.com/vi/kzB23CoZG30/mqdefault.jpg "[ML News] Llama 3 changes the game
Metas Llama 3 is out. New model, new license, new opportunities.
References:
https://llama.meta.com/llama3/
https://ai.meta.com/blog/meta-llama-3/
https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md
https://llama.meta.com/trust-and-safety/
https://ai.meta.com/research/publications/cyberseceval-2-a-wide-ranging-cybersecurity-evaluation-suite-for-large-language-models/
https://github.com/meta-llama/llama-recipes/tree/main/recipes/responsible_ai
https://llama.meta.com/llama3/license/
https://about.fb.com/news/2024/04/meta-ai-assistant-built-with-llama-3/?utm_source=twitter&utm_medium=organic_social&utm_content=thread&utm_campaign=imagineflash
https://twitter.com/minchoi/status/1782775792298037639?t=6U7Ob9P0SQmYdyLGUGq0Kg&s=09
https://twitter.com/_akhaliq/status/1782607138952499661?t=osENiISXOhJEf89b9QAjSA&s=09
https://twitter.com/_philschmid/status/1782420712105357616?t=vQQt7O9abWazZ-R3k3l9Kg&s=09
https://twitter.com/lmsysorg/status/1782483699449332144?t=h1EdrbrXi0_03gXXbhXskw&s=09
https://twitter.com/SebastienBubeck/status/1782627991874678809?t=QvZngdG1k0TllAyzT0qAsg&s=09
https://twitter.com/_Mira Mira_/status/1782595759726354485?t=QvZngdG1k0TllAyzT0qAsg&s=09
https://twitter.com/_philschmid/status/1782358903558205556?t=h1EdrbrXi0_03gXXbhXskw&s=09
https://twitter.com/cHHillee/status/1781060345366503527?t=5ONxSzdwnghsKcwq3IPmEQ&s=09
https://www.meta.ai/?icebreaker=imagine
https://twitter.com/OpenAI/status/1777772582680301665?t=DKDx-qwUP3Xr4oFvAM9mOQ&s=09
https://twitter.com/OpenAIDevs/status/1780640119890047475?t=YOJFQ6Ysx7JVDfZ6o3TT6A&s=09
https://twitter.com/OpenAIDevs/status/1779922566091522492?t=KhlVzoXh3NjCld1JiobsTw&s=09
https://twitter.com/CodeByPoonam/status/1776902550811525146?t=3cK96YjTWJnY0RmHLwAPsg&s=09
https://twitter.com/hey_madni/status/1776950057801236933?t=P2x2bXrYgMHm8jX7k2CAaQ&s=09
https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-gemini-image-2-and-mlops-updates
https://twitter.com/altryne/status/1778522661070475586?t=jdDna4B-45yLez12yuElig&s=09
https://twitter.com/xenovacom/status/1778812177215881395?t=oGLiMj6GQdKTuM6GbiYrAg&s=09
https://twitter.com/minchoi/status/1778074187778683253?t=Mb-mQvm4YIZ35pVpEijs6g&s=09
https://www.udio.com/
https://www.udio.com/pricing
Links:
Homepage: https://ykilcher.com
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Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n")
