

Reflections on Reflection
4 snips Nov 2, 2024
Delve into a four-day crisis that raises questions about scrutiny and standards in the AI community. Discover a cautionary tale about misleading claims surrounding an AI model's performance. The discussion highlights the importance of research integrity and how media narratives shape public perception of technological advancements.
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Reflection 70B Fraud
- Matt Schmuer, CEO of HyperWrite, claimed their model, Reflection 70B, achieved 99% on GSM8k.
- Independent analysis revealed Reflection underperformed, used various models' weights, and was a Claude wrapper.
Bad Practice is Rampant
- Bad practice in research is more common than assumed, as communities tend to give the benefit of the doubt.
- The Retraction Watch database reveals the scale of bad practice across scientific disciplines.
Dataset Contamination
- Dataset contamination is widespread, impacting real-world model performance.
- Scale AI found inconsistencies in benchmark results, with models like Phi and Mistral underperforming.