The way I understand the users didn't necessarily realize McAfee is responsible, just that a bunch of sqlite files appeared in temp so they might not connect the dots here anyway. Or even know McAfee is installed considering their shady practices.

Personally my threshold for intelligence versus consciousness is determinism(not in the physics sense... That's a whole other kettle of fish). Id consider all "thinking things" as machines, but if a machine responds to input in always the same way, then it is non-sentient, where if it incurs an irreversible change on receiving any input that can affect it's future responses, then it has potential for sentience. LLMs can do continuous learning for sure which may give the impression of sentience(whispers which we are longing to find and want to believe, as you say), but the actual machine you interact with is frozen, hence it is purely an artifact of sentience. I consider books and other works in the same category.

I'm still working on this definition, again just a personal viewpoint.

He bases the next row of stones on the previous one, changing them by a consistent rule? Its an unorthodox computer with infinite memory. Why does that not count as a simulation? I'm not following

Its a thing. https://en.m.wikipedia.org/wiki/Busy_waiting

"There are only two kinds of languages: the ones people complain about and the ones nobody uses" - Bjarne Stroustrup

I feel like its difficult to quantify for jobs where you're being paid to think. Even when I'm goofing off, the problem I need to solve for the day is still lingering in the back of my head somewhere. Actively squinting at it doesn't seem to make things go any faster and when I do return to work it's usually to mash out reems of code after letting it stew, but yes, the actual amount of time I'm fulfilling my job description is... less than my working hours.

I was a curious child, and things spiralled out of control from there...

Anybody have a link to the paper? The article strikes me as a used car salemans trying to sell me a journal. Mostly what I'm getting is new reinforcement learning technique catered to language? But what model architecture? Is it new? I'd like to know

They previously did not use APEX but that seems to have changed recently: https://github.com/GrapheneOS/grapheneos.org/commit/7bf9b2671667828d1553c92bf4f64cc749b74d0b Regardless it will need the verified boot keys it seems so Google can't update them, likely the devs will take responsibility to update the CAs. No idea if they will restore the user control though.

Yeah, in my mind I thought of it more as a "why not" in addition to vision. Like why make it only as capable as the humans its trying to replace when it can have even more data to work with? Probably would have been even more expensive though

True that, he did good on that front for a while though. He got too confident

I remember hearing a while back that Musk made an executive decision at Tesla to not use LIDAR. I thought: "That's a stupid decision. At least invest in making it better if you think its not sufficient" and I had a quite negative view of his engineering abilities ever since. Seeing as a Tesla can be fooled by a projector these days, I'm willing to die on that hill. I will admit that he is an exceptional businessman, most people would piss away a fortune if given one, but an engineer he is not, not by a loooooooong way.