WHEN New Scientist editors sat down to discuss the biggest story of 2023, one topic shot straight to the top of the list. It can't have escaped anyone's notice that artificial intelligence rocketed to prominence this year, with OpenAI, the maker of ChatGPT, becoming a household name. Hundreds of millions of people are now using large language models on a regular basis, in a rapid roll-out of technology that is essentially unprecedented.

As artificial intelligence (AI) continues to embed itself in our daily lives, many focus on the threats it poses to privacy, security, due process, and …

The paper argues machine learning can be used in many climate change related areas including energy production, carbon dioxide removal, and solar geoengineering. Penn postdoctoral research fellow David Rolnick co-authored a paper on artificial intelligence's ability to help combat climate change. The paper, titled "Tackling Climate Change with Machine Learning," argues that machine learning can be used in many climate change related areas including energy production, carbon dioxide removal, and solar geoengineering, according to National Geographic. The paper was originally submitted in June and revised earlier this month. In the paper, the researchers wrote that artificial intelligence could help assess damage after disasters, select new materials to use for batteries or carbon capture technology, and reduce food waste.

Maybe we can get through the climate crisis without a global catastrophe, although that door is closing fast. And maybe we can cope with the huge loss of jobs caused by the revolution in robotics and artificial intelligence (AI) without a social and political calamity. But can we do both at the same time? We should know how to deal with the AI revolution because we have been down this road before. It's a bit different this time, of course, in the sense that the original industrial revolution in 1780-1850 created as many new jobs (in manufacturing) as it destroyed (in cottage industries and skilled trades).