LLMs Echo Millennial Slang In Outputs
A Boston Globe senior correspondent reports that ChatGPT, Google Gemini, and other LLMs increasingly default to millennial-era language because they were trained on internet posts from roughly 2006–2020. The columnist cites repeated use of terms like "chaotic" and "unhinged" and notes multimodal models often reproduce dated visuals such as skinny jeans. The piece argues this reflects training-data bias and urges developers to update data and style controls.
Key Points
- 1Observe LLMs frequently output millennial-era terms such as "chaotic" and "unhinged".
- 2Attribute this to training on 2010–2020 internet content, embedding dated slang and cultural signals.
- 3Recommend developers curate training data and add style controls to mitigate outdated millennial voice.
Scoring Rationale
Practical, timely observation of model bias with direct mitigation suggestions; limited by opinion format and shallow technical detail.
Sources
Public references used for this report.
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