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“Hopefully in three or four years, we will be on 50% of all the devices on the planet,” Ramin Hasani, co-founder and CEO of Liquid AI and a machine-learning scientist at MIT’s Computer Science and Artificial Intelligence Laboratory, tells Bloomberg Intelligence senior technology analyst Anurag Rana. In this episode of the Tech Disruptors podcast, the pair discuss how Liquid AI’s alternative to transformer architecture could make foundation models dramatically more efficient, allowing specialized intelligence to run directly on cars, phones, laptops and other edge devices rather than relying on data centers. Hasani explains how Liquid AI is working with companies including Mercedes-Benz and Shopify while developing personalized and proactive agents that could turn its models into an intelligence layer spanning devices, enterprises and the physical world.
