コンテキストはソフトウェア、重みはハードウェア
AIモデルにおいて、推論時のコンテキスト（プロンプトや入力）は動的に変化するソフトウェアのようなものであり、学習済みの重み（パラメータ）は固定的なハードウェアに例えられる。このアナロジーは、コンテキストがモデルの振る舞いを柔軟に変更できる一方、重みは学習後に変更されない永続的な知識基盤であることを示している。
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