TED Tech How a worm could save humanity from bad AI | Ramin Hasani
Jan 24, 2025
Ramin Hasani, a 2024 TED Fellow and AI scientist, discusses revolutionary concepts in artificial intelligence through the lens of liquid neural networks, inspired by the C. elegans worm. He explains how this innovative technology could enable AI to think and adapt like a human brain. The conversation delves into the importance of transparency and control in advanced AI to prevent potential risks, highlighting the transformative potential of nature-inspired AI in solving complex problems and ensuring its role as a benevolent partner to humanity.
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AI's Potential
- AI that understands math could solve economic problems.
- AI that understands humanities could resolve conflicts and help humans improve.
Worm-Inspired AI
- Liquid neural networks are inspired by the C. elegans worm's brain.
- This worm shares 75% of its genome with humans, offering insights into intelligence.
Nature's Shortcut
- Studying nature provides shortcuts for AI development, leveraging billions of years of evolution.
- Ramin Hasani applied a principle from the worm to create flexible, explainable AI.