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Recent research by Rathi et al. indicates that GPT-4 is often perceived as more human than actual humans in certain Turing test scenarios. These tests, described as displaced and inverted, challenge traditional methods of distinguishing between human and AI-generated text. The study highlights the difficulties faced by AI detection tools, as both humans and AI models struggle to identify AI in passive conversation contexts. This finding underscores the rapid advancement of language models and the increasing challenge of differentiating AI from human communication.
New research shows that GPT-4 is mistaken for a human more often than real people in passive Turing test scenarios. Here’s a summary of the research paper: “GPT-4 is judged more human than humans in displaced and inverted Turing tests” https://t.co/gbfCbnGXDB
GPT-4 is judged more human than humans in displaced and inverted Turing tests Rathi et al.: https://t.co/f2hMK2ZExf #AIAgent #ArtificialIntelligence #DeepLearning https://t.co/vO24Isx1mz
How do we get our intuition to catch up to fact that we probably can't distinguish bot from human text? In this study, both humans and chatbots "judged the best-performing GPT-4 witness to be human more often than human witnesses." https://t.co/Fecq0d6hjx h/t @emollick
