Multimodal large language models are shown to develop object concept representations similar to those of humans. These representations closely align with neural activity in brain regions involved in object recognition, revealing similarities between artificial intelligence and human cognition.
It’s a good thing in a sense that it means the models are creating stable representations of objects across modalities. It means that there is potential for extending LLM approach to building actual world models in the future.
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In your opinion, is this a good thing, a bad thing, or is it just a curiosity that LLMs currently have?
It’s a good thing in a sense that it means the models are creating stable representations of objects across modalities. It means that there is potential for extending LLM approach to building actual world models in the future.