Well I don't want to keep jumping between different AI models as the things progress and companies do one up on each other, I wonder if most people would shift to aggregated wrappers that create a pipeline and allow easily switch-ability between models like LangChain does, but targeted to consumers instead.

designer alchemy | everything is experimental |
a decade+ of consumer products | farcaster godview: /intelligent | self exploration: /tanishq

𝖒𝖆𝖓𝖉𝖆𝖙𝖚𝖒 𝖆𝖉 𝖆𝖘𝖙𝖗𝖆

That makes even more sense! It won’t work in closed models tho

But at the same time, aggregation on multiple open models might just work?

100%

I'd extend this even further. perhaps the knowledge base is really static/global & outcomes are just recombinant of non-inferential elements, so wrappers also bargain for lower cost by publicly aggregating as many instances of recombination, not internalizing into the models they chain together for their service.