Categories: AI/ML News

People struggle to tell humans apart from ChatGPT in five-minute chat conversations, tests show

Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken for those written by humans?

Like humans, ChatGPT favors examples and ‘memories,’ not rules, to generate language

A new study led by researchers at the University of Oxford and the Allen Institute for AI (Ai2) has found that large language models (LLMs)—the AI systems behind chatbots like ChatGPT—generalize language patterns in a surprisingly human-like way: through analogy, rather than strict grammatical rules.

May 13, 2025

In "AI/ML News"

AI models mirror human ‘us vs. them’ social biases, study shows

Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and generate texts tailored for specific purposes. As these models are trained on large amounts of texts written by humans, they could exhibit some human-like…

January 23, 2026

In "AI/ML News"

AI thinks like us—flaws and all: Study finds ChatGPT mirrors human decision biases in half the tests

Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI's ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations—showing biases like overconfidence of hot-hand…

April 2, 2025

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People struggle to tell humans apart from ChatGPT in five-minute chat conversations, tests show

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