Why a Single AI Chat Thread Fails as a Research Workspace

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Software developer Omid argues that using a single AI chat session — whether ChatGPT, Claude, or Gemini — is fundamentally ill-suited for sustained research work. Chat threads are linear, lack honest memory, and cannot hold contradictory ideas that evolve over time, making them unreliable for long-term knowledge building. As context windows fill and summaries drop key details, researchers risk losing track of what was observed, guessed, or simply generated by the model. He proposes maintaining a separate, file-based workspace — such as Markdown notes stored in a Git repository — where ideas can remain messy, contradictory, and duplicated without pressure for early organization. In his view, AI chat should be a tool pointed at a knowledge base, not the knowledge base itself.

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