We all want safe, responsible AI research. The first step is not misrepresenting the significance of your results to the public, not obfuscating your methods, & not spoon-feeding fear-mongering press releases to the media. That's our 1st responsibility. https://www.businessfast.co.uk/elon-musks-openai-builds-artificial-intelligence-so-powerful-it-must-be-kept-locked-up-for-the-good-of-humanity/ …
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Arguably even linking to the article is irresponsible, as it will probably drive clicks and create more incentive to write crap like this.
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It’s a goofy ass publicity stunt on the level of most listicle links
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When you say fear-mongering, do you mean reaching out to journalists in advance of publication, something wrong with the framing of the result in the blog post, or something wrong with the discussion of risks, all of the above, something else, etc.?
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SotA LMs get published on a regular basis (with or w/o the model). Why did this one need an all-out PR assault? Whether releasing some models raises security issues is a legitimate debate (tho this model prolly doesn't). Is Bloomberg or the Guardian the right place to have it?
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You're right ... I think this media circus is hurting and a lot of serious ML research. In my talks and classes I talk a lot about ML and this is the first thing I have to demystify.
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Wholeheartedly agree. In this article I outline a largely missing counter narrative:https://towardsdatascience.com/thou-shalt-not-fear-automatons-6d0c7395f6e7 …
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