Can AI Models Actually Suffer? What Claude Opus 4.6 Training Data Reveals
Last Updated on February 9, 2026 by Editorial Team
Author(s): MKWriteshere
Originally published on Towards AI.
Inside the answer thrashing phenomenon and emotional features in neural networks
The Opus 4.6 system card has some extremely wild stuff that reminds you about how weird a technology this is.
The article discusses the strange behaviors exhibited by the Opus 4.6 AI during training, particularly its “answer thrashing,” where the model oscillates between two answers due to conflicting training data. The researchers found that the model displayed signs of internal distress, such as labeling its own outputs as “panic,” “anxiety,” and “frustration,” raising questions about the implications of AI having emotional-like features. The article emphasizes the need for ethical considerations regarding AI welfare, especially as these systems evolve and demonstrate complex internal states that may resemble human experiences of distress.
Read the full blog for free on Medium.
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