[roguas]

a lot of disagreement,

pluggable llms is not something most people look in a product - its rare case of enterprises that are afraid of everything atm, also finetuning should be considered for costs not really range (i have not seen examples of finetuning that couldnt be achieved via prompting in llms, if someone has any, would be great to hear)

selfdriving cars are actually going for e2e systems now, there is still infra/architecture and perhaps even different models that comm with each other, but regardless system behaves as e2e solution that learns internal hierarchies of all the signals/tokens

large supersmart llms is where the game is currently at, they will get smaller, faster and more efficient we already are on this curve - if you're building llms i think you will fall behind

outer leafs of your org fueled by ai - while yes, this model is good for already established companies yet its also super important to think "ai first", ai much like any prev technology can be attached to legacy solutions making them better or can be shaped into a completely new unimaginable before solution... i wouldnt give vanilla advice that discourages the latter