I noticed this while working through a fairly complex Al workflow.

📰 Medium · Deep Learning

Learn how adaptive thinking in AI workflows can lead to expanding reasoning chains without converging to a solution, and why this matters for AI development

intermediate Published 25 Apr 2026
Action Steps
  1. Identify complex AI workflows where adaptive thinking is applied
  2. Analyze the reasoning chain expansion in these workflows
  3. Determine if the expansion is leading to improved solutions or just adding unnecessary complexity
  4. Optimize the workflow to balance adaptive thinking with convergence to a solution
  5. Test and evaluate the optimized workflow for improved performance
Who Needs to Know This

AI engineers and data scientists can benefit from understanding this phenomenon to improve their AI workflow design and optimization

Key Insight

💡 Adaptive thinking in AI doesn't always converge, it can expand indefinitely, leading to unnecessary complexity

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Adaptive thinking in AI workflows can lead to expanding reasoning chains without convergence #AI #MachineLearning

Key Takeaways

Learn how adaptive thinking in AI workflows can lead to expanding reasoning chains without converging to a solution, and why this matters for AI development

Full Article

Title: I noticed this while working through a fairly complex Al workflow.

URL Source: https://medium.com/@omyaduvanshi98/i-noticed-this-while-working-through-a-fairly-complex-al-workflow-c589fc89c723?source=rss------deep_learning-5

Published Time: 2026-04-25T00:30:40Z

Markdown Content:
# I noticed this while working through a fairly complex Al workflow. As the task grew, the model kept extending its reasoning adding steps, drawing connections, building a longer chain of logic. On the… - Omyaduvanshi - Medium

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I noticed this while working through a fairly complex Al workflow.

As the task grew, the model kept extending its reasoning adding steps, drawing connections, building a longer chain of logic.

On the surface, it looked impressive as you know haha.. But after a point, the behavior changed.

The model wasn't improving the answer. It was just adding more reasoning around it.

That's something I'm starting to see more often:

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Adaptive thinking in Al doesn't really converge, it tends to expand.

Mor
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