
Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models
From "The Cognitive Revolution" by Erik Torenberg, Nathan Labenz
July 4, 2026 · 1h 48m · Season 1
About this episode
Ramin Hasani discusses the future of AI and the importance of device-native foundation models.
Liquid AI co-founder and CEO Ramin Hasani joins Nathan to make a technically grounded case against the idea that scale alone defines the future of AI. Drawing on Liquid’s path from MIT CSAIL work on liquid time-constant networks to Automated Foundation Model Design, he explains why efficient, hardware-aware architectures can look very different from frontier-scale attention models. The conversation centers on device-native foundation models for phones, laptops, cars, and wearables, including Liquid’s open-weight LFM family and production deployments at Shopify and Mercedes-Benz. The stakes are whether useful intelligence can move beyond the data center into local, privacy-sensitive, low-latency applications—and which model and chip companies will own that on-device intelligence layer. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/intelligence-on-the-edge-liquid-ai-s-ramin-hasani-on-the-search-for-device-native-foundation-models/ Mercury: Command is Mercury’s new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies…
People in this episode
Host: Nathan Labenz
Guest: Ramin Hasani
Topics covered
- device-native foundation models
- AI architecture
- local intelligence
- privacy-sensitive applications
- hardware-aware models
Keywords
- Liquid AI
- foundation models
- AI efficiency
- local applications
- hardware architecture
Sponsors
Claude
Mentioned in this episode
Organizations: Liquid AI, MIT CSAIL, Shopify, Mercedes-Benz, Anthropic
Products: Claude Pro
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