perspectivehistorical
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Historically, AI started as rule-based systems that could only follow fixed instructions. Agentic AI marks an evolution where machines use complex models to plan and execute tasks with more independence. This shift reflects decades of progress in machine learning, natural language processing, and system integration.
controversy
Supporting arguments
- Early AI was limited and reactive.
- Large language models enabled more flexible reasoning.
- Integration with external tools expanded AI capabilities.
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