翻訳言語

現代のLLMは「blueberry」のbの数を実際に数えられるのか？

「blueberry」という単語に含まれるbの数を数えることは、LLMにとって敵対的な質問ではあるが、不当なものではない。この単純なタスクが、現代の大規模言語モデルの能力と限界を浮き彫りにする。

Updated LLM Benchmark (Gemini 3 Flash)
2.0
The article presents benchmark results for Gemini 3 Flash, comparing its performance across various tasks including reasoning, coding, and mathematics against other large language models. The updated evaluation provides insights into the model's capabilities and relative strengths in different domains.
Are LLMs not getting better?
2.0
The article examines whether large language models are actually improving, analyzing recent benchmark results and questioning if apparent progress is real or just due to test data contamination. It discusses the challenges of measuring true capability gains versus superficial improvements.
LLMs predict my coffee
2.0
The article discusses using large language models to predict coffee preferences and suggests benchmarking with physical experiments. It explores the potential of AI models to understand and forecast individual coffee taste patterns.

翻訳言語

Updated LLM Benchmark (Gemini 3 Flash)
2.0
The article presents benchmark results for Gemini 3 Flash, comparing its performance across various tasks including reasoning, coding, and mathematics against other large language models. The updated evaluation provides insights into the model's capabilities and relative strengths in different domains.
Are LLMs not getting better?
2.0
The article examines whether large language models are actually improving, analyzing recent benchmark results and questioning if apparent progress is real or just due to test data contamination. It discusses the challenges of measuring true capability gains versus superficial improvements.
LLMs predict my coffee
2.0
The article discusses using large language models to predict coffee preferences and suggests benchmarking with physical experiments. It explores the potential of AI models to understand and forecast individual coffee taste patterns.

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