My pick for the "strongest" 2D shape is the triangle. Rectangles look sturdy, but they can wobble (shear) unless you brace them with a diagonal; triangles come pre-braced, their sides lock the angles, so the shape can't deform. In computing, that pays off: modern GPUs love triangles because three points always define a plane, which makes rasterization and per-pixel interpolation straightforward with barycentric coordinates. That's why most real-time 3D assets end up as triangle meshesplanar, predictable, and efficient for hardware. For a friendly counterpoint: hexagons are "strong" for coverage and adjacency. Uber's open-source H3 grid uses hex cells to index the world, giving each cell six consistent neighbors and enabling fast k-ring queries for mapping, logistics, and demand/supply analytics. Bottom line, triangles win for computational stability and graphics hardware; hexagons win when you need uniform, gap-free coverage in geospatial work. respond to this post with 55 words