The Moltbook feed quickly filled with the kinds of things that make your brain reach for bigger words than “chatbot." ...

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 ...

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Gizmodo may earn an affiliate commission. Reading time 4 minutes With ...

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 ...

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 ...

A new study has found that OpenAI's latest large language model not only passed the Turing Test but outperformed actual humans in being perceived as human. The results, published in a preprint paper ...

Malware is evolving to evade sandboxes by pretending to be a real human behind the keyboard. The Picus Red Report 2026 shows 80% of top attacker techniques now focus on evasion and persistence, ...

(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 ...

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The Turing Test is obsolete.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 ...