Many people are optimistic about the potential for further progress in psychology, but I think they underestimate the obstacles, as well as how much of the low-hanging fruit has already been picked. update.news/p/the-limits-to-…
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Stefan Schubert retweeted
We have officially gone from my twigging "that's too stupid, an AI wrote that" to "that's too epistemically rigorous, an AI wrote that". (Pangram agrees.)
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Not only is the amount of attention to AI risk changing (increasing); which risks from AI that are getting attention is also changing
The voters are now worrying more about AI overpowering human control, rather than worrying about job losses. A shift from just half a year ago.
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As a society, we’re really bad at thinking about death. Besides the below there’s the preposterous idea that extending the human lifespan is bad. Plus the prohibition of assisted suicide, an important liberty. On point after point we fail to apply common sense to death.
There's the deathbed fallacy: thinking that people have irrefutable insights on the deathbed. Similarly, there's the suicide fallacy: thinking that people who commit suicide are necessarily morally right, and that those they were in conflict with were necessarily wrong.
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Pangram doesn't really test "is this AI-written?" It's more like "is this AI-written in a really sloppy way?" I get human-written on most of my AI-written texts (to which I've given feedback).
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Yes, they can be conflated. The problem is that there isn't a common quantitative expression for how dangerous a risk is in itself, but people obviously want to make graded claims about that. I think they therefore sometimes effectively use "P(Doom)" for it, confusingly.
Replying to @codytfenwick
I mean obviously broadly speaking there is value in probabilistic thinking. My only point is that "What is your P(Doom)" is a pretty different question from "do you think AI models pose existential risks?"
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Using language reasonably precisely is underrated
I think referring to people who are saying “there are non-trivial but sub-50% odds of something going badly wrong” as “doomers” is a bad epistemic practice in a pretty obvious way that makes me think less of arguments and analysis from anyone who does it.
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Separately from the impoverished thinking about AI safety in particular, many people have a confused image of how communication works, overestimating the effectiveness of PR, ads, etc.
People are desperate to believe that Jacob's tweet didn't go viral on its own, but no comms firm in the world can make that happen. They would be in quite high demand if they could.
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That’s not particularly informative, the risk was higher in the pre-Industrial era. (Also it’s more relevant to look at inflation adjusted numbers.)
Since 1300, long term government bond yields have averaged 5.8%. The current 5.2% 10-year Treasury yield is 60bps below the 726 year average.
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While those factors probably make some difference, I think the main reason is that students increasingly look for studies with better job prospects. That would likely be true even if the humanities had stayed more traditional.
Many professors in the humanities keep calling it a packaging problem. Wrong. The real reasons enrollment is collapsing: obsession with identity, speech policing as virtue, and the conversion of entire disciplines into political projects.
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Overall, it's striking how similar the AIs are in this regard (even though there are some minor variations). Presumably the companies' have copied popular features from each other. There's clearly selection pressure towards a certain type of epistemic/communicative character.
AIs have been set up to have particular styles of communication and epistemic character. Eg they’re: 1 Using the principle of charity 2 Sensitive to implicature (eg interpret many questions like a request) 3 Mellow It tells us what the average user finds an ideal in humans too
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AIs have been set up to have particular styles of communication and epistemic character. Eg they’re: 1 Using the principle of charity 2 Sensitive to implicature (eg interpret many questions like a request) 3 Mellow It tells us what the average user finds an ideal in humans too
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There are no doubt other notable examples. I think it goes to far re 1 and 2 and often think about how it was trained to behave like this by people who gave it different feedback than I would do. But I appreciate no 3; the matter-of-fact attitude.
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By your lights it should arguably rather be a cause for optimism if anti-pause people are so unpersuasive
If Jensen Huang’s interview with Ezra is the best case the anti-pause people can come up with, I’m even more convinced we’re doomed.
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Agree with Claude's assessment
Listened to an EA-adjacent AI safety expert from Redwood Research on podcast, and you come away with 2 obvious realizations. 1. The current working theories for how AI takes control of civilization are...for lack of a better word...ridiculous. The arguments consist of dozens of contingent assumptions held together by made up probabilities assigned to future states nobody can possibly know. Change just one variable and the whole web of doom unravels. That's not to say AI is harmless. Obviously a technology this powerful carries real risks. But if we’re going to accept extraordinary claims about human extinction (and then make major policy decisions around them) we should demand extraordinary rigor. 2. It’s a great reminder that the genius is no less prone to delusion than the midwit. If anything, they may be more prone because of their gift for rationalizing to their own conclusions. And that’s what’s so bizarre about this whole debate. You have outlandish, quasi-religious claims delivered with an air of inevitability, and somehow the perceived intelligence of the messenger gets mistaken for evidence that the arguments themselves are sound. At a certain point, it’s really no different from Tom Cruise talking your ear off about thetans...
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When you use an AI for work do you usually use “we” or “I” (eg as in “what should we do next?” or “what should I do next?”)
43% Mostly we
41% Mostly I
9% 50-50
7% Results
144 votes • Final results
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Stefan Schubert retweeted
AI is more likely to be safe, secure, and broadly beneficial if it is shaped by a wider range of democratic countries. We're delighted to be collaborating with the Astralis Foundation on their new request for proposals on how middle powers can help safeguard the AI transition.
I'm excited to share that Astralis Foundation (with Macroscopic Ventures) has launched an RFP on middle powers and transformative AI! We're looking to fund up to $10M in grants on how middle powers can make the AI transition more likely to be safe and broadly beneficial.
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Stefan Schubert retweeted
"Cynical explanations have a thought-terminating quality: they make people so indignant that they stop weighing the evidence for or against." We're biased towards assuming the skeptic is the smartest person in the room. @StefanFSchubert, publisher of The Update, warns that we can be led astray by mistaking cynicism for insight update.news/p/the-roots-of-c…
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AIs very much overestimate the effectiveness of hedges. Might relate to their generally poor theory of mind.
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Claude is subtle like an elephant in a china shop
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Stefan Schubert retweeted
Thrilled to share that @nonhumanminds is launching a digital minds research fund! It will provide small and seed funding for research that advances understanding of the nature and value of digital minds. The deadline is November 1. Please apply! nonhumanminds.org/digital-mi…
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