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Anthropic's Opus 5 faces user criticism for unreliability

Users on Reddit are expressing significant dissatisfaction with Anthropic's Opus 5 model, citing issues with verbosity and unreliability. They are questioning whether the problems stem from new pre-training weights, a flawed post-training process, or the specific harness used for Opus 5. The ongoing criticism suggests that these issues may be deeply embedded within the model's architecture, as Anthropic has apparently struggled to implement fixes for weeks. AI

IMPACT User feedback highlights potential issues in model development and deployment, impacting trust and adoption.

RANK_REASON User-generated commentary on a specific model release.

Read on r/Anthropic →

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

Anthropic's Opus 5 faces user criticism for unreliability

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1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Commentary
User-generated commentary on a specific model release.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, opinion
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Clearly on-topic for AI-industry coverage.
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Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/Anthropic TIER_1 English(EN) · /u/py-net ·

    How did Anthropic get Opus 5 so wrong from great predecessors like 4.8? Serious question here

    <!-- SC_OFF --><div class="md"><p>Was Opus 5 a new pre-trained weight set different from predecessors?</p> <p>Is it the same pre-training weights but post training went wrong?</p> <p>Is it in the specific harness of Opus 5?</p> <p>The verbosity and unreliability of Opus 5 has bee…