Ramin Hasani
Showing 1–3 of 3 transcripts.
- RAISE Summit21 min
Opening Fireside: Ramin Hasani, Liquid AI & Ion Stoica, Arena | RAISE Summit 2026
Ramin Hasani, Ion Stoica, Rachel Metz, Ayaan, Ian
Led by MIT-derived algorithms and advised by Databricks co-founder Ian, Liquid AI is deploying energy-efficient, hardware-agnostic foundation models designed to run locally on consumer-grade chips rather than massive data centers. This approach addresses a shifting market where enterprises prioritize security and regulatory control by replacing expensive, closed-source systems with open-weight alternatives that offer near-parity in performance for specific tasks like coding and office work. The discussion further highlights a strategic pivot toward specialized "cities" of smaller, deterministic models that interact within agentic pipelines to ensure reliable, human-liability-backed deployment across industries.
AMD, Starcloud, Coatue..10 Hot Takes From The Biggest Names in AI
Max Cook, Matan Grinberg, Pim de Witte, Philip Johnston, Mark Papermaster, Rodrigo Liang, Ramin Hasani, Robin Rombach, Chris Madden, Henri Delahaye, Molly, Philippe, Thomas
At the RAISE Summit, industry leaders like Max Cook and Matan outlined a decisive shift toward agentic AI ecosystems that replace traditional interfaces with natural language and naturalize the routing between frontier and open-source models based on latency and cost. Concurrently, hardware giants such as SambaNova and StarCloud announced billion-dollar investments and space-based compute strategies to overcome power constraints and enable efficient inference on edge devices. This convergence of sovereign AI initiatives, supply chain scaling, and automated software engineering marks a global transition where enterprises treat AI as a deployed product rather than a research tool.
- RAISE Summit17 min
A fireside Chat with Ramin Hasani, Co-Founder & CEO of Liquid AI ft. Robert Cahill (Enhance Venture)
Liquid AI, an MIT spin-off founded by Ramin Hassani, is deploying a unique full-stack foundation model platform that utilizes biologically inspired Liquid Neural Networks to run generative AI directly on edge devices. This architecture achieves linear scaling rather than the quadratic costs of standard Transformers, enabling powerful on-device intelligence in resource-constrained hardware like smartphones and satellites without relying on data centers. Positioned as a specialized "gatekeeper" alongside massive cloud-based Oracles, the Boston-based company targets a projected $1 trillion on-device AI market by 2035 with applications spanning consumer electronics, automotive, and aerospace sectors.