i like how people now use $1k for the price of a top-end gpu now when not too long ago it used to be half that. if you are starting from zero today, then it se

i like how people now use $1k for the price of a top-end gpu now when not too long ago it used to be half that. if you are starting from zero today, then it seems very rough indeed. but for a vast majority, minus the bloated applications people can get away with today, most people are just fine with what they already got. in terms of gamers, i am amazed by one group excited by steam deck and happy to live with its limitations, while another group wants the bleeding edge and demanding 4080/4090 performance for much less. in a day and age where even cyberpunk can be played on integrated graphics, we still stress on having a graphics card. for ai or other "production" workloads, unless you're starting from scratch, things remain as they had in the past: you pay more to save time. i personally chose to skip tensor cores for my machine to save on costs, but it should not be holding me back when i really need to train a large model. i am not sure how many people would actually be using their hardware for long enough to justify the "10 month" rule on buying v/s renting. as far as the main topic is concerned, cpu has become way too good way too quickly. only a few years ago we just had minor bumps on 8 threads for the consumer space. fortunately bloat hasn't advanced as much.