Earlier quoted context omitted.
Creating AI models has proven to simply be easier than other past innovations. Much lower barrier to entry, the knowledge seems to be spread pervasively within months of breakthroughs. People seem to take offense at this idea, but the proof is in the pudding. Every week there's a new company with a new model coming out. What good did Google's "AI Talent" do for them when OpenAI leapfrogged them with only a few hundre…
It's easier for large rich companies with infrastructure and datasets. It's very hard for small startups to build useful real world models from scratch, so you see most people building on top of SD and APIs, but that limits what you can build, for example it's very hard to build realistic photo editing on top of stable diffusion.
[1] https://newatlas.com/technology/stanford-alpaca-cheap-gpt/