Musings About the Future of Search: A Return to the Past?
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917879665917952 |
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| author | Lin, Jimmy Gupta, Pankaj Horn, Will Mishne, Gilad |
| author_facet | Lin, Jimmy Gupta, Pankaj Horn, Will Mishne, Gilad |
| contents | When you have a question, the most effective way to have the question answered is to directly connect with experts on the topic and have a conversation with them. Prior to the invention of writing, this was the only way. Although effective, this solution exhibits scalability challenges. Writing allowed knowledge to be materialized, preserved, and replicated, enabling the development of different technologies over the centuries to connect information seekers with relevant information. This progression ultimately culminated in the ten-blue-links web search paradigm we're familiar with, just before the recent emergence of generative AI. However, we often forget that consuming static content is an imperfect solution. With the advent of large language models, it has become possible to develop a superior experience by allowing users to directly engage with experts. These interactions can of course satisfy information needs, but expert models can do so much more. This coming future requires reimagining search. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18956 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Musings About the Future of Search: A Return to the Past? Lin, Jimmy Gupta, Pankaj Horn, Will Mishne, Gilad Information Retrieval When you have a question, the most effective way to have the question answered is to directly connect with experts on the topic and have a conversation with them. Prior to the invention of writing, this was the only way. Although effective, this solution exhibits scalability challenges. Writing allowed knowledge to be materialized, preserved, and replicated, enabling the development of different technologies over the centuries to connect information seekers with relevant information. This progression ultimately culminated in the ten-blue-links web search paradigm we're familiar with, just before the recent emergence of generative AI. However, we often forget that consuming static content is an imperfect solution. With the advent of large language models, it has become possible to develop a superior experience by allowing users to directly engage with experts. These interactions can of course satisfy information needs, but expert models can do so much more. This coming future requires reimagining search. |
| title | Musings About the Future of Search: A Return to the Past? |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2412.18956 |