According to Greg Brockman (@gdb), recent advancements in AI are heavily powered by optimized matrix multiplications (matmuls), which serve as the computational foundation for deep learning models and neural networks (source: Twitter, August 28, 2025). By leveraging efficient matmuls, AI models such as large language models (LLMs) and generative AI systems achieve faster training times and improved inference capabilities. This trend is opening new business opportunities in AI hardware acceleration, cloud computing, and enterprise AI adoption, as companies seek to optimize large-scale deployments for competitive advantage (source: Twitter, @gdb).