According to Andrew Ng, achieving speed in AI development relies on four actionable factors: concreteness, domain expert intuition, AI-assisted coding, and rapid user feedback (source: Andrew Ng on Twitter, May 8, 2025). These methodologies enable faster deployment of AI-powered trading tools, which can enhance market responsiveness and decision-making for cryptocurrency traders. As AI-driven trading algorithms become more responsive using these techniques, market participants may notice increased volatility and tighter reaction windows, impacting both short-term and long-term crypto trading strategies.