# Great Models Aren't Enough for Physical AI

Page: https://stenobird.com/podcast/the-good-tech-companies-6882802/great-models-aren-t-enough-for-physical-ai
Text version: https://stenobird.com/podcast/the-good-tech-companies-6882802/great-models-aren-t-enough-for-physical-ai.md
Podcast: [The Good Tech Companies](https://stenobird.com/podcast/the-good-tech-companies-6882802)
Published: 2026-06-24T08:30:52+00:00
Episode link: https://share.transistor.fm/s/f2c77d83
Audio file: https://media.transistor.fm/f2c77d83/8c7a0469.mp3
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JSON: https://stenobird.com/v1/public/podcasts/the-good-tech-companies-6882802/episodes/great-models-aren-t-enough-for-physical-ai
Duration seconds: 244

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/great-models-arent-enough-for-physical-ai . Physical AI deployment depends on more than models. Explore how safety, regulation, operations, and data shape real-world autonomy. Check more stories related to undefined at: https://hackernoon.com/c/undefined . 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. This story was written by: @tigerdata . Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com . Physical 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.

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## Transcript

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