The Cognitive Revolution · Saturday, July 4, 2026
Liquid AI's core mission, originating from MIT research, is to maximize the intelligence that can be encoded into the smallest algorithmic formats, with efficiency as its cornerstone. Ramin Hassani elaborated that their work on "Liquid neural networks" aims to deliver the reliability of larger AI systems while running on smaller, embedded hardware like CPUs and NPUs.
“So, Liquid AI three and a half years ago, we spun out of MIT. C-cell, building on a technology that we have actually have been working on it like 10 years before, like basically like a decade before.”
“When we started the the the whole company. We've been our objective function like at MIT has always been like maximizing the amount of intelligence that we can into the smallest format of algorithms. So efficiency has been like the cornerstone of our research.”
“So that we can actually host them directly on, let's say, CPUs, NPUs, or let's say like your like smaller GPUs that are mounted on top of like physical systems, while delivering the reliability of much larger kind of instances of artificial intelligence systems.”