The Abduction Gap: Why LLMs Cannot Leap to New Scientific Axioms
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LLMs cannot achieve true scientific breakthroughs because they lack the physical sensory grounding required for abductive reasoning and axiom formation.
AI systems designed to perceive and act in the physical world through robotic or physical embodiments, bridging digital reasoning with real-world spatial and motor tasks.
LLMs cannot achieve true scientific breakthroughs because they lack the physical sensory grounding required for abductive reasoning and axiom formation.

FLUX 3 demonstrates that a single multimodal foundation model can master both high-quality media generation and real-world robotic control by learning a unified representation of physical reality.

Gemini Robotics-ER 1.6 provides robots with enhanced spatial reasoning and instrument-reading capabilities to bridge the gap between AI and physical action.