We've trained an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training: https://blog.openai.com/better-language-models/ …pic.twitter.com/360bGgoea3
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Hiya, here are some malicious use cases (outlined in the blog). What do you think?pic.twitter.com/HwWu3Vxma5
This is exactly hype and misleading the media. Where is any evidence that your system is actually capable of doing this? Which independent researchers have scrutinized your system? None. Media people don't count.
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Thanks for continuing discussion - the conditional news samples are pretty striking and have been fairly consistent. I feel like journalists are the appropriate experts to consult with regard to the news aspects. Talked to a few governments re disinformation and got validation
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I agree with
@AnimaAnandkumar here: fake text is very cheap to generate, with higher quality results than this model. The only thing where this model has an edge is the raw amounts you can generate (which still require a human filtering step!). How is that a threat? - Show replies
New conversation -
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It hardly seems more dangerous than something like state of the art face verification, or speech synthesis, image generation, or any of dozens of other things.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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