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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Ah, I think we ended up talking across eachother, so I mis-parsed. My specific point is journalists are well-placed to think about the implications of conditional news generation, so we gave them the model (via a conditional UI we built) so they could explore.
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Similarly we've been demoing this privately with other people and in the future are going to seek to let others fiddle with this model. (Eg, I'm very excited about fiction writers fooling around with this). Note we also released a paper and small model so you can interact with it
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Why can’t journalists evaluate this type of research? There’s an entire field in journalism dedicated to it called algorithmic transparency reporting.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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