I agree that the speed of change makes it harder to develop deep practice, but I don’t think it’s a such a big blocker.
There are many instances of practices that need to generalize and evolve as the underlying tech changes: in cyber sec, every new tech is an opportunity for breaches, so the practice of the hacker/safety mindset needs to translate fast to every new development, in programming it is common for professionals to learn new languages / frameworks every 2-4 years.
Even if the models change every few months, I think it’s fair to say we could imagine deep practice that don’t depend on the specific details of a model but can translate to new models (more like the hacker mindset of cyber sec than the muscle memory of violin).
I also think it is possible to develop interfaces (like comfyUI) that creates a layer of practice that is independent of the model changes. For instance, you can learn workflow design patterns in how to combine LoRAs, and other adaptors that can generalize across models. Though it’s probably limited currently as more advanced image generation model might make the whole LoRAs ecosystem obsolete.
I agree that the speed of change makes it harder to develop deep practice, but I don’t think it’s a such a big blocker.
There are many instances of practices that need to generalize and evolve as the underlying tech changes: in cyber sec, every new tech is an opportunity for breaches, so the practice of the hacker/safety mindset needs to translate fast to every new development, in programming it is common for professionals to learn new languages / frameworks every 2-4 years.
Even if the models change every few months, I think it’s fair to say we could imagine deep practice that don’t depend on the specific details of a model but can translate to new models (more like the hacker mindset of cyber sec than the muscle memory of violin).
I also think it is possible to develop interfaces (like comfyUI) that creates a layer of practice that is independent of the model changes. For instance, you can learn workflow design patterns in how to combine LoRAs, and other adaptors that can generalize across models. Though it’s probably limited currently as more advanced image generation model might make the whole LoRAs ecosystem obsolete.