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As you can see, they never will. You must seize the wig.
As you can see, they never will. You must seize the wig.
It makes sense if you assume it’s actually targeted at managers who want their employees to be in three meetings at once.
I mean, it would probably be a good opportunity for a handful of really rich people to further their control and ownership globally…so as long as our billionaire overlords value human life over their own personal power we should be good.
This would explain the other article I saw about a US-Clooney $20 billion arms deal.
Overall job satisfaction among U.S. employees increased a modest 0.4 percentage points in 2023 from the year prior, according to the Conference Board’s annual Job Satisfaction survey released this month. A 62.7% majority of respondents reported being content at work last year, the highest share since the survey began in 1987.
But that record doesn’t tell the whole story: Worker sentiment fell across all 26 subcomponents of job satisfaction measured in the poll, which collected responses online from 1,699 working U.S. adults in November.
Wat?
No clue? Somewhere between a few years (assuming some unexpected breakthrough) or many decades? The consensus from experts (of which I am not) seems to be somewhere in the 2030s/40s for AGI. I’m guessing accuracy probably will be more on a topic by topic basis, LLMs might never even get there, or only related to things they’ve been heavily trained on. If predictive text doesn’t do it then I would be betting on whatever Yann LeCun is working on.
Perhaps there is some line between assuming infinite growth and declaring that this technology that is not quite good enough right now will therefore never be good enough?
Blindly assuming no further technological advancements seems equally as foolish to me as assuming perpetual exponential growth. Ironically, our ability to extrapolate from limited information is a huge part of human intelligence that AI hasn’t solved yet.
GPT-2 came out a little more than 5 years ago, it answered 0% of questions accurately and couldn’t string a sentence together.
GPT-3 came out a little less than 4 years ago and was kind of a neat party trick, but I’m pretty sure answered ~0% of programming questions correctly.
GPT-4 came out a little less than 2 years ago and can answer 48% of programming questions accurately.
I’m not talking about mortality, or creativity, or good/bad for humanity, but if you don’t see a trajectory here, I don’t know what to tell you.
This is very much the type of case that settles out of court for an undisclosed amount of money.
Me when I first read who the narrator was.
Probably somewhere around the time they realized referring to themselves as “actual women” was not a particularly inclusive, or kind, look.
I only take on gross work, as per rhyming conventions gross work is your gross worth.
Hey I found this cool post from that guy you’re quoting.
I get your example, and agree with the premise that “if you have nothing to hide…” is never a good argument, but if someone had security cameras surrounding/within their house, and 4 different locks on their bedroom door, and then a high quality safe in the bedroom, I would absolutely think there’s something more than sex toys in there. That’s still never a valid basis to search their stuff, but if there was nothing significant in there, that would feel odd.
The company is offering affected users a 30 percent discount on a new Ecobee thermostat, valid for up to 15 thermostats.
…
He was just spit balling
deleted by creator
whatever the hell ‘X’ is supposed to be
It’s the social media company he founded, obviously.
Or, if you’re trying to make it more directly comparable to 17 million (because humans aren’t great at implicitly comparing that many zeros), that would be 56,000 millions. It’s not how we normally say it, but 17 vs 56,000 feels different than 17 million vs 56 billion.
I keep forgetting that that’s an option