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Helpful chatbots may be worse at acting like people
Key Takeaways
- Researchers used a dataset covering roughly 208,000 participants and 26 million responses.
- Base models beat post-trained assistant variants at predicting human answers.
- The result suggests usefulness and human-likeness can diverge as models are tuned.
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DT Editorial Team··via the-decoder.com
