How a Worm Could Save Humanity From Bad AI | Ramin Hasani | TED
My Vision for AI: A Friend to Humanity
The Dream of Beneficial AI
- Ramin Hasani expresses his aspiration to create artificial intelligence that acts as a friend, capable of solving complex global issues like mathematics and humanitarian conflicts.
- He envisions an AI system that can leverage Einstein’s and Maxwell’s equations to advance physics and address energy problems, ultimately helping humans become better versions of themselves.
Introduction to Liquid AI
- Ramin Hasani introduces himself as the co-founder and CEO of Liquid AI, which is based on "liquid neural networks," a technology he developed at MIT.
- Unlike traditional fixed AI systems, liquid neural networks are designed to be flexible, mimicking the human brain's ability to adapt thoughts and responses through feedback mechanisms.
Nature-Inspired Intelligence
- The research draws inspiration from the C. elegans worm, which shares 75% of its genome with humans; understanding its nervous system could lead to building intelligent systems that surpass human capabilities.
- By studying nature's evolutionary algorithms over billions of years, researchers aim to shortcut the development process for efficient algorithms in artificial intelligence.
Understanding and Control in AI Systems
- Liquid neural networks incorporate principles from nature into artificial neural networks, allowing them to solve problems in an explainable manner previously deemed impossible.
- Hasani emphasizes that current AI systems are often "black boxes," making regulation difficult; however, Liquid's approach creates "white box" systems where behavior is understandable.
Addressing Concerns about Advanced AI
- With transparent systems like those developed by Liquid, there is potential for greater control over advanced technologies, mitigating fears associated with unregulated superintelligent AIs.