According to @satyanadella, Azure's AI infrastructure is experiencing compounding S curves in pre-training, inference time, and systems design, resulting in model performance doubling every six months (source: @satyanadella on Twitter). This rapid acceleration enhances trading algorithms and crypto market analytics by reducing cost per token and boosting performance per megawatt. For traders, this means access to faster, more cost-efficient AI-driven analytics, enabling quicker decision-making and potentially higher returns in volatile markets.