According to @ai_darpa citing @Tech_girlll, the underlying mathematics is the silent force driving all AI advancements, regardless of ongoing debates among developers over syntax or engineers over tech stacks (source: https://twitter.com/ai_darpa/status/2007407088574836839). The tweet highlights that overlooking mathematical fundamentals can undermine AI projects, as core fields like linear algebra, calculus, and statistics form the structural backbone of machine learning algorithms. For businesses and AI practitioners, investing in mathematical literacy is crucial for building robust, scalable AI solutions and maintaining long-term competitive advantage in a rapidly evolving market. This trend underscores the need for strong mathematical foundations in AI hiring, training, and R&D strategies.