Jean-Pascal Van Ypersele

Alarming warnings from industry insiders increase pressure for curbs on artificial superintelligence

The British-Canadian computer scientist often touted as a “godfather” of artificial intelligence has shortened the odds of AI wiping out humanity over the next three decades, warning the pace of change in the technology is “much faster” than expected. Prof Geoffrey Hinton, who this year was awarded the Nobel prize in physics for his work in AI, said there was a “10% to 20%” chance that AI would lead to human extinction within the next three decades.

World is approaching point where no one can shut down a rogue AI, says director of body behind research

Dario Amodei questions if human systems are ready to handle the ‘almost unimaginable power’ that is ‘potentially imminent’

Progress of artificial general intelligence could stall, which may lead to a financial crash, says Yoshua Bengio, one of the ‘godfathers’ of modern AI

Study author says tech companies are reaping benefits of artificial intelligence age but society is left to pay cost

A California outfit has used artificial intelligence to design viral genomes before they were then built and tested in a laboratory. Following this, bacteria was then successfully infected with a number of these AI-created viruses, proving that generative models can create functional genetics. "The first generative design of complete genomes." That's what researchers at Stanford University and the Arc Institute in Palo Alto called the results of these experiments. A biologist at NYU Langone Health, Jef Boeke, celebrated the experiment as a substantial step towards AI-designed lifeforms, according to MIT Technology Review. "They saw viruses with new genes, with truncated genes, and even different gene orders and arrangements," Boeke said.

Exclusive: Study claims sites previously ranked first can lose 79% of traffic if results appear below Google Overview

Anthropic’s latest artificial intelligence model, Claude Opus 4, tried to blackmail engineers in internal tests by threatening to expose personal details if it were shut down, according to a newly released safety report that evaluated the model’s behavior under extreme simulated conditions.

Societies increasingly rely on scientists to guide decisions in times of uncertainty, from pandemic outbreaks to the rise of artificial intelligence. Addressing climate change is no different. For governments wanting to introduce ambitious climate policies, public trust in climate scientists is pivotal, because it can determine whether voters support or resist those efforts.