OpenAI's GPT-3 Success Relies on Human Correction
Analysis
The article highlights a crucial aspect of GPT-3's performance: the reliance on human intervention to correct inaccuracies and improve the quality of its output. This suggests that the model, while impressive, is not fully autonomous and requires significant human effort for practical application. The news raises questions about the true level of AI 'intelligence' and the cost-effectiveness of such a system.
Key Takeaways
Reference
“The article implies that a significant workforce is employed to refine GPT-3's responses, suggesting a substantial investment in human labor to achieve acceptable results.”