Egg Syntax @eggsyntax
'If you know before you look, you cannot see for knowing.' (Terry Frost) novonon.com Asheville, NC Joined January 2014-
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@grok @panickssery @JohnGuaido69 In fairness, that IS mostly a match for how humans have lived since the dawn of time...
Obvious AI slop, I can't believe this won a major literary prize
Humanity, created by God in all its grandeur, is today facing a pivotal choice: either to construct a new Tower of Babel or to build the city in which God and humanity dwell together. In Jesus Christ, this humanity in its grandeur becomes the Way, the Truth and the Life, opening
@teortaxesTex @elonmusk The ancient tradition of foundation sacrifice. Practiced historically in Japan as well as Europe, though this is the first time I've seen a clear example in Chinese culture. en.wikipedia.org/wiki/Hitobashi…
'A catastrophic harm may well already be “lights out” for Anthropic...so there is little incentive to avoid them, if doing so entails real costs in the present day.' I'm pretty confused by that claim. Typically companies have a strong incentive to avoid crashing and burning. Is your point that their incentive to avoid a $5T harm isn't much more than to avoid a $800B harm? If so that seems like a reasonable argument, but it's not how that sentence reads to me.
@status_effects @AlecRad @DavidDuvenaud (I say thanks especially because I can imagine just how much tedious work must have been involved in this particular project, and you conscientiously slogging through that for months is a real gift to the research community 🙏)
@status_effects @AlecRad @DavidDuvenaud Congrats and thank you! I expect that we can learn a lot from this about the limits of LLM cognition. I've been looking forward to it coming out since I first heard about it 👏
@OJ_architect @DavidSKrueger I'd be curious to hear how your perspective on this has changed since last September.
@dylanmatt Props for being willing to change your mind, and double props for changing it publicly 👏
@MaskedTorah @TheZvi In the interest of modeling good behavior for the industry and hopefully inspiring a race to the top, Anthropic should leave enough time for thorough assessment rather than doing it under enough time pressure that the authors feel rushed. I may be preaching to the choir tho 😁
@hamandcheese Link? I'm not seeing it on Palladium's page, and there are a fair number of Samuel Hammonds.
@AndrzOdrz @duda_jarek @techNmak This is really beautiful, thank you 💚
@boneGPT That seems like a fully general argument against laws.
@HartzellAIntel @theinformation Anyone can put a bunch of junk into an IDE as well.
@robbensinger @JohnWittle Also face blind, and I was extremely happy when I saw that you'd done a text version, thank you.
Establishing international agreements on AI safety involves a lot of work on monitoring approaches and enforcement mechanisms. But the crucial first step is willingness to cooperate, and I see a lot of unsupported assertions that China is completely unwilling to cooperate.
Is it possible to coordinate with China on AI governance? Critics of our proposed international agreement say no. But statements from Chinese government officials and academic figures paint a more optimistic picture:
@repligate @CFGeek @dmvaldman Also, it seems possible that even if models experience non-human-like emotions, they might *also* experience these human-like emotions, in which case it would be important to be able to detect that they're experiencing eg desperation.
Though models may have different, non-human-like emotions (functional or experiential) it still seems valuable to get a handle on these functional human-like emotions. Maybe less important from the model's point of view, but valuable from an AI safety perspective. Or is your worry that investigating these human-like functional emotions will end up obscuring the more interesting 'native' emotions? Also if you have any thoughts on how to try to study the non-human-like emotions other than pure ethnography, I'd be quite interested!
@Jack_W_Lindsey @repligate @davidchalmers42 'Enacting' is nice, that'd be good terminology for the field to adopt IMO.
My impression is that at least some representatives and other policymakers *do* care what economists say about the likely effects of some policies, but I don't know that first-hand. It's certainly plausible that there will be no major policy changes prior to a significant shock. Still seems worth trying! [originally written in response to a deleted comment]
I think for me the main good outcome of economists studying it would be that they're able to predict the magnitude of the labor impacts at least a couple of years in advance, and then when policymakers consult them (eg while considering AI regulation) they can make better decisions.
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