What ML are people actually wanting to do on M1 laptops? (1) development - quickly train smaller networks locally to validate the code. Then offload to a big G

What ML are people actually wanting to do on M1 laptops? (1) development - quickly train smaller networks locally to validate the code. Then offload to a big GPU machine. (2) Smaller convolutional networks and RNNs may be below SOTA, but can still provide a good performance-accuracy trade-off. You could already train these networks pretty fast on an M1 thanks to AMX, but his makes training such networks even faster.