It's very obviously media bait, and Keumars Afifi-Sabet, a self-described journalist, is the most gullible fucking idiot imaginable and gobbled it up without a hint of suspicion. Joke is on us though, because it probably gets hella clicks.
theluddite
AI systems in the future, since it helps us understand how difficult they might be to deal with," lead author Evan Hubinger, an artificial general intelligence safety research scientist at Anthropic, an AI research company, told Live Science in an email.
The media needs to stop falling for this. This is a "pre-print," aka a non-peer-reviewed paper, published by the AI company itself. These companies are quickly learning that, with the AI hype, they can get free marketing by pretending to do "research" on their own product. It doesn't matter what the conclusion is, whether it's very cool and going to save us or very scary and we should all be afraid, so long as its attention grabbing.
If the media wants to report on it, fine, but don't legitimize it by pretending that it's "researchers" when it's the company itself. The point of journalism is to speak truth to power, not regurgitate what the powerful say.
My editor is an actual saint. Imagine all the shit that she has to put up with that gets cut if that made it through!
Dates could be made up, too.The blog posts that I generated for my site included made up dates in the past. The internet archive says it has a snapshot for March of 2023, but when I click it, it says it doesn't, so I have no way of verifying. The theory about parking real estate hoping to sell it also seems pretty plausible to me. Who knows what dumb shit they're up to.
Couldn't agree more! We shouldn't outsource planning the world that we want to make to oversimplified heuristics, including "whatever is cheapest."
It's probably either waiting for approval to sell ads or was denied and they're adding more stuff. Google has a virtual monopoly on ads, and their approval process can take 1-2 weeks. Google's content policy basially demands that your site by full of generated trash to sell ads. I did a case study here, in which Google denied my popular and useful website for ads until I filled it with the lowest-quality generated trash imaginable. That might help clarify what's up.
Yes absolutely! Debord comes up a lot on my blog too. I fucking love the Situationists. A lot of these theorists that lived through the earlier days of mass media saw it with such clarity for exactly what it is in a way that those of us born later I think would struggle to see were it not for their writing, not that we bothered to heed their warnings.
I actually think that this is part of a larger phenomenon. It's something that Adorno and Horkheimer identified all the way in the 1940s (in "Dialect of Enlightenment," especially in the chapter "The Culture Industry") that is now greatly accelerating because of computers. The result is what I call The Tyranny of Data. The essay isn't that long and most of the length comes from examples, but I'll try to do a super quick tl;dr of my argument. Here's some Adorno and Horkheimer quotes that I cite:
For enlightenment, anything which does not conform to the standard of calculability and utility must be viewed with suspicion.
and
Bourgeois society is ruled by equivalence. It makes dissimilar things comparable by reducing them to abstract quantities. For the Enlightenment, anything which cannot be resolved into numbers, and ultimately into one, is illusion[.]
Basically, modern society culturally values arguments presented in numbers, especially when expressed in units of currency. I argue that now that we have computers, aka a machine capable of turning everything into numbers very easily, we can easily collapse everything into units of currency. This is a homogenizing and conservative (as in change averse) force (quoting myself):
You can measure how people feel about another Marvel movie, or a politician they already know, or whether they prefer this version or that version of a product. It's much harder to measure interest in a brand new movie idea, or an unknown politician, or a radically new invention. The bigger the change, the harder it is to measure.
Because it's so easy to turn things into numbers now, and because we culturally value data-based arguments as superior to other kinds, like moral or ideological, our collective ability to think in other ways is atrophying. As a result, we struggle to take the necessarily irrational risks that we need to take to make real progress, be it social progress, artistic progress, or whatever.
I go through a bunch of examples, like Joe Biden, who I call "a statistically generated median in corporeal form. He's literally a franchise reboot, the single most derivative but fiscally sound cultural product." I specifically talk about digital media too:
When deciding how much to value websites or podcasts or any other online media, we simply add up the number of downloads. No one actually thinks that's a good way to decide the value of art, writing, journalism, story-telling, lascivious true crime blogs, or reality TV rewatch podcasts. It's just the first number that fell out of a computer. Just like that, a complex social situation was transmuted into a number.
When the writer Ryan Broderick joined Substack in 2020, it felt, he told me, like an “oasis.” The email-newsletter platform gave him a direct line to his readers.
Everyone is going to be so pumped when they learn about websites. The media has reported on substack this way since they began and it's so fucking stupid. It's a website with an email list as a service. Substack is nothing.
Yes and no. It's the same word, but it's a different thing. I do R&D for a living. When you're doing R&D, and you want to communicate your results, you write something like a whitepaper or a report, but not a journal article. It's not a perfect distinction, and there's some real places where there's bleed through, but this thing where companies have decided that their employees are just regular scientists publishing their internal research in arxiv is an abuse of that service./
... a lot, actually? I happen to be married to one. Her lab is at a university, where there are many other people who are also experts.