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scottaaronson.blog | ||
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jembendell.com
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| | | | | The rapid rise of Artificial Intelligence (AI) has shifted discussions about its advantages and threats from fiction to significant societal concerns. Predictions suggest AI might achieve 'super intelligence' by 2027, raising fears around existential threats. In this essay, I take that as an invitation to offer my views on responsible AI use rather than outright... | |
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windowsontheory.org
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| | | | | By Boaz Barak andBen Edelman [Cross-posted on Lesswrong ; See also Boaz's posts onlongtermism andAGI via scaling , as well as other "philosophizing" posts. This post also puts us in Aaronson's "Reform AI Alignment" religion] [Disclaimer:Predictions are very hard, especially about the future. In fact, this is one of the points of this essay. Hence,... | |
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windowsontheory.org
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| | | | | [Yet another "philosophizing" post, but one with some actual numbers. See also this follow up. --Boaz] Recently there have been many debates on "artificial general intelligence" (AGI) and whether or not we are close to achieving it by scaling up our current AI systems. In this post, I'd like to make this debate a bit... | |
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www.greaterwrong.com
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| | | Author's note: this is somewhat more rushed than ideal, but I think getting this out sooner is pretty important. Ideally, it would be a bit less snarky. I've made a few edits in response to David Johnston's comment here, mostly about the paper's reporting of its own results. Anthropic[1] recently published a new piece of research: The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity? (arXiv, Twitter thread). This is a selective emphasis of the results, where in most experiments, model coherence remained unchanged or increased with size. There are a few[3] obvious exceptions. | ||
