According to Jeff Dean, the Gemini 2.0 models exhibit significant performance improvements on a chart where the X axis represents a logarithmic scale, indicating exponentially decreasing costs. This suggests that these models could offer better efficiency and cost-effectiveness in AI processing, which is crucial for traders looking to optimize computational expenses in cryptocurrency algorithmic trading. Source: Jeff Dean on Twitter.