Opinionllmcreative writingopenaianthropic
AI Fails To Master Human-Style Humour
6.1
A journalist argues that large language models like ChatGPT and Claude consistently fail to produce genuinely funny material, based on weekly tests and examples. He attributes this to training on vast undifferentiated corpora, absence of lived experience, inability to learn from 'masters' only, and lack of access to failed drafts and serendipitous luck. He concludes AI may take a long time, or never, to develop true comedic talent.
Key Points
- 1Demonstrates that major LLMs like ChatGPT and Claude produce weak, formulaic humour.
- 2Attributes failure to training on vast undifferentiated data lacking masters, failed drafts, lived experience.
- 3Implies creative AI may remain limited; practitioners should temper expectations for original comic insight.
Scoring Rationale
Offers persuasive, experience-based explanation of LLM humor limits; limited by opinion format and lack of empirical evidence.
Sources
Public references used for this report.
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