Research question
What are the costs and risks of ever-larger language models?
Key findings
- Environmental and financial costs, unfathomable training data, encoded bias and the illusion of meaning - Calls for documentation and curation
The influential critique of large language models whose circumstances of publication also became a governance controversy at Google.
What are the costs and risks of ever-larger language models?
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