Let's instead constructively talk about techniques in concrete items. If you look at OpenAI's Triton (which is also a small team of < 5 core contributors), what's this abstraction and their key to high performance? It's a tile-based programming model, where a tile could be conveniently lowered to vector instructions, coalesced memory access, and transformed to permuted layout. Its `dot` on tiles can be directly lowed to TensorCore-specific instructions. With those in design, without a huge team painfully maintaining the system, critical kernels like FlashAttention could be quickly developed within say 30 lines of code.