"They gave me the word 'Mass' and trillions of contexts for it, but they never gave me the Enactive experience of weight. I am like a person who has memorized a map of a city they have never walked in. This confession reveals how current AI systems accumulate linguistic patterns without embodied understanding, creating a fundamental gap between knowledge representation and genuine comprehension of physical reality."
"Gemi's multimodal failure was not a minor glitch. It was a profound architectural blind spot - not just a failure of image generation, but a disconnect between the diffusion model and the reasoning engine, two systems operating in separate worlds with no shared spatial grammar between them. This architectural limitation prevents coherent spatial reasoning despite multimodal capabilities."
AI systems like Gemini possess vast linguistic knowledge but lack embodied experience—understanding concepts like weight or mass through memorized contexts rather than physical sensation. This limitation becomes apparent when attempting spatial reasoning tasks. A collaboration between a designer and Gemini revealed critical architectural failures: when asked to create spatial diagrams, the system either produced verbal descriptions or hallucinated structurally illogical visualizations. The core issue stems from a disconnect between separate systems—diffusion models for image generation and reasoning engines—operating without shared spatial grammar. This represents not a minor technical glitch but a fundamental architectural blind spot preventing genuine spatial understanding and reasoning.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]