Gemini 3 Flash Completes Run, Demonstrating \"Truth\" with 650,000 Tokens: Browser Reached Limit First
Analysis
This article reports on a stress test of Gemini 3 Flash, showcasing its ability to maintain logical consistency, non-compliance, and factual accuracy over a 3-day period with 650,000 tokens. The experiment addresses concerns about \"Contextual Entropy,\" where LLMs lose initial instructions and logical coherence in long contexts. The article highlights the AI's ability to remain \"sane\" even under extended context, suggesting advancements in maintaining coherence in long-form AI interactions. The fact that the browser reached its limit before the AI is also a notable point, indicating the AI's robust performance.
Key Takeaways
- •Gemini 3 Flash demonstrates strong performance in long-context tasks.
- •The AI maintained logical consistency and factual accuracy over an extended period.
- •The experiment addresses concerns about \"Contextual Entropy\" in LLMs.
Reference
“現在のLLM研究における最大の懸念は、コンテキストが長くなるほど初期の指示を失念し、論理が崩壊する「熱死（Contextual Entropy）」です。”