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Google Beats OpenAI to Full Voice Mode Release
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
Embrace the Unquantifiable
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Recent updates to models like GPT-40 reflect qualitative improvements preferred by users, yet specifics remain vague due to the challenge of granular measurement. While acknowledging the lack of clear metrics, the ongoing research aims to refine how model behavior enhancements are communicated. Continuous iterative improvements are based on user feedback and experimental data. Critics emphasize the need for serious benchmarking of large language models (LLMs) beyond conventional methods, describing the current approach as 'vibes-based computing' due to the absence of standardized evaluations. The community relies on subjective experiences to assess model performance, indicating a demand for better measuring techniques.
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