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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.17507 |
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| _version_ | 1866910804444446720 |
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| author | Wang, Yu |
| author_facet | Wang, Yu |
| contents | This article briefly discusses the philosophical and technical aspects of AI. It focuses on two concepts of understanding: intuition and causality, and highlights three AI technologies: Transformers, chain-of-thought reasoning, and multimodal processing. We anticipate that in principle AI could form understanding, with these technologies representing promising advancements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_17507 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reflections on "Can AI Understand Our Universe?" Wang, Yu Artificial Intelligence High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics This article briefly discusses the philosophical and technical aspects of AI. It focuses on two concepts of understanding: intuition and causality, and highlights three AI technologies: Transformers, chain-of-thought reasoning, and multimodal processing. We anticipate that in principle AI could form understanding, with these technologies representing promising advancements. |
| title | Reflections on "Can AI Understand Our Universe?" |
| topic | Artificial Intelligence High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2501.17507 |