Brad Taylor @bradrtaylor
Political theorist working on AI risks. QLD, Australia Joined June 2009-
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I think we should stop AI progress now, first unilaterally by key AI companies and then scaling up to more US companies and then China via international agreements. The reason for now is not that current AI models are the ones that could kill everyone, but because the coordinate steps take time. Immediate action means we have more time for the second steps. When I tell this story to AI company folk, the typical response is "Yes pausing is good, but we should wait until the last minute when the very next model will be dangerous, and stop then." What I realized recently is that this is being implicitly way more optimistic about government speed than I am (and I joined the UK government and was happy there for 2.5 years). They are imagining a world where, the moment the danger is imminent, a bunch of international coordination can happen on a dime. Which is entirely inconsistent with their actual views about government! I'm the one that is more optimistic about government; why am I the one advocating for more time cushion to let the government story play out?
Misperceptions and low quality information result in polarization when agents learn from shared news---Now forthcoming @QJEHarvard!! Huge thanks to co-authors Simone and @Danil_Dmitriev7 (on the market this year!) drive.google.com/file/d/122BwGL…
As I was grading my final exam for my upper-level undergraduate Economics of Education course, I decided to check how ChatGPT would do on the exam. Answer: ChatGPT scored a 77%, which was just slightly below the class average.
@MarijaTaflaga Congrats Marija. Well deserved.
This job is so much easier now that only the faculty are held to ethical standards.
Almost all of Turing's work was amazing, but we should definitely forget about the Turing Test, this was a mistake
Something I told 13 yo: Controversy is artificial interestingness.
3 PPE postdocs at Brown apply.interfolio.com/114213
Humans are bad at detecting liars, we are right about lies 53% of the time (guessing would be 50%). Machine learning seems to do better, 60%-80% accurate. But, in this case, combining human judgement & machines actually backfires, since people incorrectly overrule the computer!
One of the best Wikipedia photos, "Powerful owl on a suburban TV aerial, Chatswood West, New South Wales". Put this in the Louvre en.m.wikipedia.org/wiki/Powerful_…
why did the chicken sat on her eggs because she doesn't have a chair
Whenever you see someone call economics the "dismal science", make sure to explain that it refers to how economists opposed slavery.
But, like, if you are gonna go in on people for being ever so evil while they literally transfer their resources to the world's poor in a way that saves lives and you... like... write about how it would be good if things were better for the world's poor... then shut the fuck up.
—Interviewer: Do you have any special skill that can benefit our company? Me: x.com/Solocuriosos_1…
Word of the day is ‘bayard’ (16th century): one who has all the self-confidence of ignorance.
@kbguzzo @researchwhisper This is also reflected in the fact that institutions these days treat grants/external funding as an output. Which really doesn't make any sense really even if using an economic logic I guess.
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