According to Yann LeCun (@ylecun), a recent LinkedIn presentation on self-supervised learning highlights its growing role in advancing artificial intelligence models. The talk outlines how self-supervised techniques are reducing data labeling costs and accelerating model training, which is particularly relevant to crypto trading platforms adopting AI-driven strategies. Increased efficiency and predictive power in AI may lead to more accurate crypto price forecasting and automated trading algorithms, directly impacting trading strategies and market volatility (source: Yann LeCun, LinkedIn, May 16, 2025).