{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"Great Models Aren't Enough for Physical AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f2c77d83\"></iframe>","width":"100%","height":180,"duration":244,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/great-models-arent-enough-for-physical-ai.\nPhysical AI deployment depends on more than models. Explore how safety, regulation, operations, and data shape real-world autonomy.\nCheck more stories related to undefined at: https://hackernoon.com/c/undefined.\n            You can also check exclusive content about #physical-ai-infrastructure, #autonomous-systems, #robotics-telemetry-data, #edge-ai-observability, #drone-safety-regulation, #industrial-ai-monitoring, #machine-learning-operations, #good-company,  and more.\nThis story was written by: @tigerdata. Learn more about this writer by checking @tigerdata's about page,\n            and for more stories, please visit hackernoon.com.\nPhysical AI is advancing quickly, but deployment remains constrained by the real world. At a dinner with founders and engineering leaders, one theme emerged repeatedly: success depends less on model quality and more on solving safety, regulation, operations, and data challenges. Teams that invest early in telemetry, observability, compliance, and operational infrastructure will be positioned to scale beyond prototypes and into production.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}