Add Yahoo as a preferred source to see more of our stories on Google. When you buy through links on our articles, Future and its syndication partners may earn a commission. GPT-4.5 is the first LLM to ...

When Alan Turing first proposed an approach to distinguish the “minds” of machines from those of human beings in 1950, the idea that a machine could ever achieve human-level intelligence was almost ...

Large language models (LLMs) are getting better at pretending to be human, with GPT-4.5 now resoundingly passing the Turing test, scientists say. In the new study, published March 31 to the arXiv ...

For decades, fashion images have been retouched. But this isn’t airbrushing a real person; it’s a “person” created from scratch, a digital composite of data points, engineered to appear as a beautiful ...

(via Sabine Hossenfelder) The Turing test used to be the key benchmark for artificial intelligence. The idea, going back to Alan Turing, was that a human interrogator would have a chat with a ...

The test of a new paradigm is often the extent to which it can settle old issues that other perspectives have failed to resolve. Where the diametric model of the mind is concerned, I have already ...

Most people know that the famous Turing Test, a thought experiment conceived by computer pioneer Alan Turing, is a popular measure of progress in artificial intelligence. Many mistakenly assume, ...

In a recent preprint study, researchers put GPT-4.5 to the test—not to solve complex problems or write code, but to do something far more human—hold a conversation. The results were impressive. When ...

The Turing test, proposed by computer scientist Alan Turing in 1950, is a measure of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.

It may not have a soul, but AI has learned the mathematical recipe for the sights and sounds that most people find moving. Jacob Wackerhausen/iStock via Getty Images Plus Pick up an August 2025 issue ...

The Turing Test is obsolete. We can't let big biz define intelligence. Men and women took a swan dive into neural nets and deep learning long before they had the computing power to make their ...