How did papers that demonstrated single layer neural networks can't do XOR, but multi layer neural networks can, hamper development? XOR is simply not linearly

How did papers that demonstrated single layer neural networks can't do XOR, but multi layer neural networks can, hamper development? XOR is simply not linearly serperatable, requiring an MLP or kernel trick still holds. It is a similar reason that attention works for majority gates but not parity gates in the general case. Acknowledging that reality resulted in new developments, but is still a limitation. Perceptrons are binary classifiers.