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Microsoft predicts AI will make web browsers and search engines obsolete in years
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<blockquote data-quote="mlnevese" data-source="post: 1114611" data-attributes="member: 36157"><p>I asked Claude and this was the answer.</p><p></p><p><em>The cost comparison between AI-powered search and traditional search methods is nuanced and depends on several factors:</em></p><p><em></em></p><p><em>Infrastructure Costs:</em></p><p><em>- Traditional search typically requires less computational power and simpler infrastructure</em></p><p><em>- AI search needs significant computing resources, especially for large language models and neural networks</em></p><p><em>- AI systems often require specialized hardware like GPUs or TPUs</em></p><p><em></em></p><p><em>Operating Costs:</em></p><p><em>- Traditional search is generally cheaper to run day-to-day once implemented</em></p><p><em>- AI search has higher energy consumption and computing costs per query</em></p><p><em>- Cloud computing costs for AI can be substantial at scale</em></p><p><em></em></p><p><em>Development Costs:</em></p><p><em>- Traditional search algorithms are well-established and cheaper to implement</em></p><p><em>- AI search requires more expensive expertise and longer development time</em></p><p><em>- Training AI models is computationally intensive and costly</em></p><p><em></em></p><p><em>However, the higher costs of AI search might be justified by:</em></p><p><em>1. Better search accuracy and relevance</em></p><p><em>2. Ability to understand natural language and context</em></p><p><em>3. More sophisticated query understanding</em></p><p><em>4. Potential for personalization</em></p><p><em></em></p><p><em>The cost-effectiveness really depends on your specific use case, scale of operations, and whether the improved search capabilities justify the additional expense.</em></p><p></p><p>So AI thinks AI is better <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite136" alt=":alien:" title="Alien :alien:" loading="lazy" data-shortname=":alien:" /></p></blockquote><p></p>
[QUOTE="mlnevese, post: 1114611, member: 36157"] I asked Claude and this was the answer. [I]The cost comparison between AI-powered search and traditional search methods is nuanced and depends on several factors: Infrastructure Costs: - Traditional search typically requires less computational power and simpler infrastructure - AI search needs significant computing resources, especially for large language models and neural networks - AI systems often require specialized hardware like GPUs or TPUs Operating Costs: - Traditional search is generally cheaper to run day-to-day once implemented - AI search has higher energy consumption and computing costs per query - Cloud computing costs for AI can be substantial at scale Development Costs: - Traditional search algorithms are well-established and cheaper to implement - AI search requires more expensive expertise and longer development time - Training AI models is computationally intensive and costly However, the higher costs of AI search might be justified by: 1. Better search accuracy and relevance 2. Ability to understand natural language and context 3. More sophisticated query understanding 4. Potential for personalization The cost-effectiveness really depends on your specific use case, scale of operations, and whether the improved search capabilities justify the additional expense.[/I] So AI thinks AI is better :alien: [/QUOTE]
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