According to @GoogleDeepMind, Principal Scientist @mpshanahan discussed on a recent podcast with host Professor @fryrsquared that using polite language such as 'please' and 'thank you' in AI prompts, known as 'prompt whispering,' can sometimes lead to more nuanced and helpful responses from AI models. While this technique may not directly affect trading algorithms or automatic crypto trading bots, it can improve the clarity and effectiveness of natural language trading queries, potentially reducing misinterpretation and optimizing output quality for traders seeking actionable crypto insights (Source: Google DeepMind Twitter, May 1, 2025).

According to DeepLearning.AI, Replit has upgraded its agent-driven mobile app, enabling the generation and deployment of iOS and Android applications. Previously limited to simple Python programs, the app now facilitates the creation of mobile apps through natural language prompts, powered by Replit Agent and models such as Claude 3.5 Sonnet. This advancement allows traders and developers to rapidly prototype and deploy mobile applications, potentially accelerating development cycles and reducing time-to-market for mobile software solutions.