You can tell the days are getting shorter more quickly now

Nice overview of KA Networks: https://spectrum.ieee.org/kan-neural-network. There is a nice pytorch library, too: https://github.com/KindXiaoming/pykan

• In the new architecture, the synapses play a more complex role. Instead of simply learning how strong to make the connection between two neurons, they learn an activation function that maps input to output. And unlike the activation function used by neurons in the traditional architecture, this function could be more complex—in fact a “spline” or combination of several functions—and is different in each instance. Neurons, on the other hand, become simpler—they just sum the outputs of all their preceding synapses. The new networks are called Kolmogorov-Arnold Networks (KANs), after two mathematicians who studied how functions could be combined. The idea is that KANs would provide greater flexibility when learning to represent data, while using fewer learned parameters.