A well designed edge platform would significantly outperform a traditional cloud-based system. Naive search can, on average, outperform space partitioning approaches on higher dimensional spaces. In purely discriminative tasks, DSNs outperform conventional DBNs. Clock-for-clock basis the Motorola 68040 could significantly outperform the Intel 80486 chip. On typical modern architectures, efficient quicksort implementations generally outperform mergesort for sorting RAM-based arrays. In some cases, such randomized algorithms even outperform the best deterministic methods. Transistor for transistor, a RISC design would outperform a conventional CPU, hopefully by a lot. ESNs outperform all other nonlinear dynamic models. On average, no other ensemble can outperform it. Receivers with internal DGPS receivers can outperform those using external RTCM data. In practice, listwise approaches often outperform pairwise approaches and pointwise approaches. Production scheduling tools greatly outperform older manual scheduling methods. Similarity learning can often outperform predefined similarity measures. Sometimes, they even outperform more celebrated draft picks. In the absence of these inputs, traditional varieties may outperform the modern ones.