AI · 1h ago
AI Evolution Explained: From Rule-Based Systems to Autonomous Agents
AI has evolved through five stages over 70 years: rule-based systems, machine learning, deep learning, generative AI/LLMs, and now agentic AI. Each stage overcame limits of the previous, from hand-coded rules to models that plan and execute multi-step tasks. Current challenges include hallucination and reliability in autonomous agents.
Meridian48 take
This framing is useful for newcomers but oversimplifies the messy, overlapping reality of AI development — and glosses over the fact that earlier stages remain widely used today.
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