For the first experiment with 354 participants, one group was tasked with solving 15 basic fraction problems without help, while another had ChatGPT open on the side to use for assistance and to even ask for the answer. The group with AI access started off more accurate than the group without it. Then, after 12 problems, researchers took away the AI tool. Almost immediately, the people in that group stopped solving questions accurately.

A similar thing happened when they ran the experiment on a second, larger group of 667 participants. Whereas the AI users got answers wrong or gave up entirely when the AI assistance was withdrawn, the group without AI stuck with the task and were more successful at the end.

Researchers then ran a third experiment with 201 participants and an SAT reading comprehension prompt. The results echoed those from the fraction problems: When the AI tool was removed, persistence and accuracy dropped.

It pains me to say this, but we are in the midst of a revolution…

This post is insightful, thanks !

You see, wire telegraph is a kind of very, very long cat. You pull his tail in New York and his head is meowing in Los Angeles.

That’s a great image.

Vulnerable deep-sea habitats will be mapped with the help of artificial intelligence (AI) in a study made possible by a £2m investment.

The Deep Vision project - run by Plymouth Marine Laboratory and the University of Plymouth - will study ecosystems such as cold-water coral reefs and sponge fields in the Atlantic.

The aim is to build the largest-ever dataset of these habitats and help shape legal protections.

Leader of the project, Kerry Howell, said: “As the deep-sea becomes more accessible for exploitation, there is an urgent need to map its ecosystems to enable the conservation of biodiversity in this, the last wild frontier on Earth.”

She said AI could quickly and accurately tag thousands of deep-sea images.

The project will be funded by the Bezos Earth Fund as part of its AI for Climate and Nature Grand Challenge.

Interesting