Show notes
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. Visit https://mercury.com to learn more and apply online in minutes.Sponsor:Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcrCHAPTERS:(((((((((((((((((PRODUCED BY:https://aipodcast.ingSOCIAL LINKS:Website: https://www.cognitiverevolution.aiTwitter (Podcast): https://x.com/cogrev_podcastTwitter (Nathan): https://x.com/labenzLinkedIn: https://linkedin.com/in/nathanlabenz/Youtube: https://youtube.com/@CognitiveRevolutionPodcastApple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk



