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Raviteja Nekkalapu·hackernoon.com·· 2 min read

AI's False Pretenses: Most 'Agents' Are Just Workflows

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TL;DR

Most AI 'agents' are actually just workflows in disguise, lacking key characteristics like persistent goals and self-regulation.

Google just killed Kubernetes pricing as we know it. In reality, most AI agents aren't doing what they claim to do - being actual agents. They're just workflows in disguise. This revelation comes from a new paper that scrutinizes the agent model, revealing a lack of persistent goals, adaptive identity, self-regulation, and continuous learning. It's time for developers to rethink their assumptions about autonomous AI.

AI's False Pretenses: Most 'Agents' Are Just Workflows — ContentBuffer article

Key Takeaways

  • •Assess your AI projects: Are they truly agents or just workflows?
  • •Understand the difference between agentic workflows and genuine agentive systems
  • •Rethink your approach to AI development: Focus on building real agents, not just pretending
aimachine learningautonomous systems
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Originally published by Raviteja Nekkalapu on hackernoon.com. Summarized by ContentBuffer.

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