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How I Used Python to Almost Crash ChatGPT

  • An individual conducted an experiment using Python to test the limits of ChatGPT's response generation capabilities.
  • The experiment included exploring how ChatGPT handles recursion, large inputs, and nested logic, as well as practical limitations such as length and memory.
  • Observations revealed that ChatGPT has hard limits on token counts, context management weakens with longer threads, and the model fails for prompts exceeding certain character limits.
  • The key learnings highlighted ChatGPT's finite token limits, its abstraction of recursive prompts, and the importance of context management for longer sessions.

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