The discussion revolves around implementing sorting algorithms using CUDA, a parallel computing platform and application programming interface (API) model created by NVIDIA. A user has brought attention to Futhark, a high-level language designed for GPU programming that offers convenience in implementing algorithms. Futhark compiles to GPU instructions and supports merge sort, making it accessible through Python libraries. This highlights an evolution in how sorting algorithms can be optimized using GPUs, enabling faster processing capabilities for large datasets.