On March 2, the firm unveiled a system called ”synthetic biological intelligence” (SBI). In it, neural networks of human cells are formed on a silicon chip, representing an ”ever-evolving organic computer.” It allows ”code to run directly on real neurons and solve today's most complex problems.” ”CL1 is the first biological computer that allows medical and research labs to test how real neurons process information, offering an ethical alternative to animal testing and providing more relevant data and insights,” the project's website says. With CL1, researchers can study brain function ”with unprecedented clarity” through biological computations that capture the adaptability and learnability of neurons in real time, revealing disease mechanisms and the impact of connections on cognition. According to the developers, SBI is capable of fast and flexible learning, making it superior to silicon AI chips used to train existing large language models. ”Unlike traditional AI, our neural systems require minimal energy and training data to master complex tasks. This is not just a new computer. This is computing technology created anew,” the project's website says; Customers can buy CL1 outright or rent time with it, accessing it remotely via the cloud. Its mass rollout is expected in the second half of 2025. ”Today is the culmination of an idea that has driven Cortical Labs for almost six years. We have made some major breakthroughs in recent years [...],” commented Dr. Hong Weng Chong, founder and CEO of the startup. All the possibilities of SBI will become clearer once the system is in the hands of users, the executive added.