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AI expert notes decline in Chain-of-Thought value with agentic systems

By PulseAugur Editorial · [1 sources] ·

Ethan Mollick observes that the value of Chain-of-Thought reasoning in AI is diminishing with the rise of agentic systems. He suggests that effective AI interaction and understanding now necessitate requesting intermediate outputs and utilizing AI assistance for troubleshooting. AI

IMPACT Suggests a shift in how users interact with and steer AI systems, potentially impacting prompt engineering and AI development.

RANK_REASON Opinion piece from a known AI commentator discussing a conceptual shift in AI interaction.

Read on Bluesky Jetstream — AI desk →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI expert notes decline in Chain-of-Thought value with agentic systems

How we ranked this

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3 / 100
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Commentary
Opinion piece from a known AI commentator discussing a conceptual shift in AI interaction.
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Single-source cluster
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opinion
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AI-industry relevance
High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · emollick.bsky.social ·

    The sudden collapse of the value of Chain-of-Thought (even summarized CoT) in the agentic era changes working with AI.

    The sudden collapse of the value of Chain-of-Thought (even summarized CoT) in the agentic era changes working with AI. Effectively steering AIs and getting any sort of observability now requires you to ask for interim outputs & tests, and to use AI help to troubleshoot problems …

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