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            "content": "<p>People refer to generative AI when they just say \u201cAI\u201d nowadays.<\/p>\n<p>There are a ton of small, single purpose neural networks that work really well, but the \u201cgeneral purpose\u201d AI paradigm has wiped those out in the public consciousness. Natural language processing and modern natural sounding text to speech <em>are<\/em> by definition AI as they use neural networks, but they\u2019re not the same as ChatGPT to the point that a lot of people don\u2019t even consider them AI.<\/p>\n<p>Also AI is really good at computing protein shapes. Not in a \u201cChatGPT is good enough that it\u2019s not worth hiring actual writers to do it better\u201d way, in a \u201cthis leaves the previous state of the art academia level protein folding algorithms in the dust\u201d way.<\/p>\n",
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                "content": "People refer to generative AI when they just say \"AI\" nowadays. \n\nThere are a ton of small, single purpose neural networks that work really well, but the \"general purpose\" AI paradigm has wiped those out in the public consciousness. Natural language processing and modern natural sounding text to speech *are* by definition AI as they use neural networks, but they're not the same as ChatGPT to the point that a lot of people don't even consider them AI.\n\nAlso AI is really good at computing protein shapes. Not in a \"ChatGPT is good enough that it's not worth hiring actual writers to do it better\" way, in a \"this leaves the previous state of the art academia level protein folding algorithms in the dust\" way. ",
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