roboboffin

If human need drives the creative process, then there will always be a human in the loop. Instead, each human becomes the “random seed” that initialises the process based on their own unique make-up. This is only different from how things work now, in that humans are also creating the artefact.

Similar to how synths meant we no longer need to play an instruments by plucking strings, it hasn’t affected the higher level creativity of creating music, only expanded it.

Depends what you mean by creativity. In some ways, AI is not creative at all, everything is generated by mapping text to visuals using diffusion modelling via a shared latent space. It has no agency or creative thought of its own.

Humans have demonstrated time and again, even things beyond our experience can be explored by us; quantum mechanics for example. Humans find a way to map very complex subjects to our own experience using analogy. Maybe AI can help us go further by allowing us to do this on even more complex ideas.

In theory, creativity is an infinite space. As technology advances it allows humans to explore more and more complex things; take the advancement of music as an example, synths, loops etc.

If humans are not stretched to their limits, and are still able to be creative, then the tools will help us find our way through this infinite space.

AI will never be able to generate everything for us, because that means it will need infinite computation.

I just had a thought. It used to be that complex C++ systems used to take so long to compile that developers used to go and have a coffee etc. This was before distributed compiling.

Maybe it will return to that, the job will have a lot of waiting around, and “free” time.

I’m not saying people will be laid off, although this is what the article is about. So, I think people will still be prompting, but if you can prompt an agent and it can happily code away, what are you supposed to be doing ? Watching it do its work ? The only option is that you will have to generate ideas of new work constantly to drive value. This is something that generally happens over time now, but as implementation becomes quicker; idea generation will have to accelerate.

The difference for me, is that things are changing too fast to keep up. For example, if a large part of your job is taken away seemingly overnight, by a new model, your whole job could change in a heartbeat.

What preparation are you supposed to do for this ? Previously, change was relatively slow and it was reasonable to keep up in your own time. I believe that is no longer possible.