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    Location-specific grounding for world models in robotics

    Niantic Spatial says location-specific grounding lets robots choose the right action in the right place.

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    1 Source, 15d ago, first seen 15d ago

    TLDR

    Niantic Spatial argues that world models cannot reach their potential for physical AI without grounding in the real world. The company compares location-specific grounding for robots to retrieval-augmented generation (RAG), which it credits with reducing hallucinations in large language models.

    Combined views

    33.2K

    1 Source, first seen 15d ago

    Combined views

    33.2K

    1 Source, first seen 15d ago

    41 likes
    41 likes
    2 comments
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    8 reposts

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    2 comments
    22 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @NianticSpatialWorld models that aren't grounded in the real world will never reach their potential for physical AI. 🌎 Just as RAG cut hallucination in LLMs, location-specific grounding lets robots choose the right action in the right place. Read more about Niantic Spatial’s thinking: https://hubs.ly/Q04xBplB0 #WorldModels #PhysicalAI #AI #EmbodiedAI #SpatialAI #Robotics

    1 Source

    @NianticSpatialWorld models that aren't grounded in the real world will never reach their potential for physical AI. 🌎 Just as RAG cut hallucination in LLMs, location-specific grounding lets robots choose the right action in the right place. Read more about Niantic Spatial’s thinking: https://hubs.ly/Q04xBplB0 #WorldModels #PhysicalAI #AI #EmbodiedAI #SpatialAI #Robotics