Importance of Data Accuracy and Efficiency in Machine Learning

The perceived impact of being 5 ohms off can be misleading, as it actually represents a 100,000x deficit in data. While data efficiency improvements and multi-modal training can provide some benefits, they are not sufficient to address the exponential increase in data required to keep up with compute demand. Additionally, self-play synthetic data faces two critical challenges, including evaluation.