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Why Physical AI Needed a Completely New Data Stack
The future of AI is physical. In this episode, Lukas Biewald talks to Nikolaus West, CEO of Rerun, about why the breakthrough required to get AI out of the lab and into the messy real world is blocked by poor data toolin...
About This Episode
Why Physical AI Needed a Completely New Data Stack is an episode from Gradient Dissent by Lukas Biewald. The future of AI is physical. In this episode, Lukas Biewald talks to Nikolaus West, CEO of Rerun, about why the breakthrough required...
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Episode Details
Published Dec 16, 2025, 01:00:52 long, audio available.
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Questions About This Episode
What is Why Physical AI Needed a Completely New Data Stack about?
The future of AI is physical. In this episode, Lukas Biewald talks to Nikolaus West, CEO of Rerun, about why the breakthrough required to get AI out of the lab and into the messy real world is blocked by poor data tooling. Nikolaus explains how Rerun solved this by adopting an Entity Component System (ECS), a data model built for games, to handle complex, multimodal, time-aware sensor data. This is the technology that makes solving previously impossible tasks, like flexible manipulation, suddenly feel "boring." Connect with us here: Nikolaus West: Rerun: Lukas Biewald: Weights & Biases:
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Which podcast is Why Physical AI Needed a Completely New Data Stack from?
Why Physical AI Needed a Completely New Data Stack is an episode from Gradient Dissent by Lukas Biewald.
How long is this episode?
This episode is 01:00:52 long.
When was this episode published?
This episode was published on Dec 16, 2025.
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Are there related episodes from Gradient Dissent?
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Where can I listen to Why Physical AI Needed a Completely New Data Stack?
You can listen to Why Physical AI Needed a Completely New Data Stack on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Why Physical AI Needed a Completely New Data Stack is from Gradient Dissent by Lukas Biewald.
What are the episode details?
Published Dec 16, 2025 and 01:00:52 long