Name: How a worm could save humanity from bad AI
Uploaded: 2024-10-14T13:43:15Z
Duration: 4 min 4 s
Description: What if AI could think and adapt like a real brain? TED Fellow and AI scientist Ramin Hasani shares how liquid neural networks — a new, more flexible AI technology inspired by physics and living brains — could transform how we solve complex problems.

Ramin Hasani: How a worm could save humanity from bad AI

How a worm could save humanity from bad AI

What if AI could think and adapt like a real brain? TED Fellow and AI scientist Ramin Hasani shares how liquid neural networks — a new, more flexible AI technology inspired by physics and living brains — could transform how we solve complex problems.

Inspired by the tiny worm C. elegans, scientists are building liquid neural networks that can adapt and learn like living brains. Remarkably, this worm shares 75 percent of its genome with humans, and its neural principles now help make AI systems more explainable. By moving away from black box models to algorithms that can be understood and controlled, this approach aims to unlock superintelligent tools while keeping humanity firmly in charge.