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Two AI models pass benchmark Turing Test, blurring line between human, machine

OpenAI’s GPT-4.5 and Meta’s Llama-3.1 models have passed the Turing Test, a benchmark proposed by Alan Turing in the 1950s to assess whether machines can exhibit intelligent behaviour indistinguishable from humans that has always been held up as a sort of tipping point on the maturity and sophistication of Artificial Intelligence. This methodology, tested across two independent populations — undergraduate students and prolific workers — provides the first robust evidence that any system passes the original three-party Turing test. “It is arguably the ease with which LLMs can be prompted to adapt their behaviour to different scenarios that makes them so flexible: and apparently so capable of passing as human,” the researchers illustrate in their paper, suggesting that new benchmarks testing reasoning and ethical alignment may better gauge AI progress. Is it entirely surprising that — despite how rigorously the test was designed — AI would eventually beat us at ‘sounding human’ when it has been trained on more human data than any one person could ever read or watch?” said Sinead Bovell, founder of Waye, a tech education company, quoted in the original article.

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