hardware now is so good you don't need to upgrade much... Progress on performance gains has pushed up on the limits of known architectures. Each iteration offers minor incremental gains, if any. Newly released products are more about the company needing the money to operate than having a worthy new worthy product that should replace the old obsolete models of yesteryear.

"I hate change"

In this year of 2025? No. But it still is basically setting oneself for failure from the perspective of Graphene, IMO. Like, the strongest protection in the world (assuming Graphene even is, which is quite a tall order statement) is useless if it only works on the mornings of a Tuesday that falls in a prime number day that has a blue moon and where there are no ATP tennis matches going on. Everyone else is, like, living in the real world, and the uniqueness of your scenario is going to go down the drain once your users get presented with a $5 wrench, or even cheaper: a waterboard. Because cops, let alone ICE, are not going to stop to ask you if they can make you more comfortable with your privacy being violated.

$ ls space?

This is where the magic of near meaningless corpo-babble comes in. The layoffs are part of a plan to aspirationally acheive the goal of $10b revenue by EoY 2025. What they are actually doing is a significant restructuring of the company, refocusing by outside hiring some amount of new people to lead or be a part of departments or positions that haven't existed before, or are being refocused to other priorities... ... But this process also involves laying off 500 of the 'least productive' or 'least mission critical' employees. So, technically, they can, and are, arguing that their new organizational paradigm will be so succesful that it actually will result in increased revenue, not just lower expenses. Generally corpos call this something like 'right-sizing' or 'refocusing' or something like that. ... But of course... anyone with any actual experience with working at a place that does this... will tell you roughly this is what happens: Turns out all those 'grunts' you let go of, well they actually do a lot more work in a bunch of weird, esoteric, bandaid solutions to keep everything going, than upper management was aware of... because middle management doesn't acknowledge or often even understand that that work was being done, because they are generally self-aggrandizing narcissist petty tyrants who spend more time in meetings fluffing themselves up than actually doing any useful management. Then, also, you are now bringing on new, outside people who look great on paper, to lead new or modified apartments... but they of course also do not have any institutional knowledge, as they are new. So now, you have a whole bunch of undocumented work that was being done, processes which were being followed... which is no longer being done, which is not documented.... and the new guys, even if they have the best intentions, now have to spend a quarter or two or three figuring out just exactly how much pre-existing middle management has been bullshitting about, figuring out just how much things do not actually function as they ssid it did... So now your efficiency improving restructuring is actually a chaotic mess. ... Now, this 'right sizing' is not always apocalyptically extremely bad, but it is also essentially never totally free from hiccups... and it increases stress, workload, and tensions between basically everyone at the company, to some extent. Here's Forbes explanation of this phenomenon, if you prefer an explanation of right sizing in corpospeak: https://www.forbes.com/advisor/business/rightsizing/

OpenAI has stated that its models were trained on publicly available and licensed data. There is no confirmed evidence that ChatGPT was specifically trained on copyrighted books like J.K. Rowling’s Harry Potter series. The company has not disclosed the full details of its training data.