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Why AI Lacks the Human Touch in Understanding Flowers
- A recent study suggests that AI tools like ChatGPT lack the depth of representation seen in human understanding, particularly regarding sensory and motor experiences.
- Large language models (LLMs) struggle with representing concepts like flowers due to their reliance on linguistic data, unlike humans who engage in multisensory experiences.
- The study found that AI excels in words devoid of sensory connections but faces challenges with concepts requiring rich human experiences.
- AI's limitations lie in its inability to engage in sensory interactions, leading to a gap in understanding complex concepts compared to humans.
- Research compared human and AI representations of concepts using tools like OpenAI's GPT-3.5 and GPT-4, Google's PaLM and Gemini, focusing on sensory and motor information.
- While AI performed well on abstract concepts, it struggled with sensory-rich terms, impacting its ability to understand words like 'flower' that evoke diverse sensory experiences.
- Future interactions between AI and humans may face challenges due to differences in conceptual understanding, emphasizing the need for improved AI models.
- Models trained on both textual and image data show promise in enhancing AI's grasp of vision-related concepts, hinting at a path for more enriched representations.
- As AI evolves, incorporating sensory modalities could enhance its understanding, potentially leading to more effective interactions with humans.
- The study underscores the complexity of human understanding shaped by direct engagement with the world, highlighting room for growth in AI technologies for better mimicry of human cognition.
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