Its time we focus on sub 24gb Mac’s - in this day and age, when someone goes and buys a $3000 Mac, while us local-pilled people understand that nearly all that matters is RAM and its speed, the main majority of people in the world consider and expect it to be a high end device - which when compared to the amount of raw compute you’d be able to get 5-10 years ago for that cost, it is. I will be focusing on our “mixture of models” theory; where a main orchestration/chat model spawns and delegates specifics tasks over to another model which specializes in that task and proceeds to act in a manner of; Main model 1 is unloaded -> task specific model 2 is loaded -> does task -> unload model 2 -> load model 1 back and resume I hope that over time this will be able to prove that its not a high parameter count that matters, but that having a handful of models which hyperfocus on specific topics being loaded and unloaded in an efficient manner can come to meet the needs of all automation.