In recent weeks, developers and AI enthusiasts reported that Anthropic’s Claude models seemed to be underperforming, showing reduced reasoning capabilities, increased hallucinations, and token inefficiencies. Critics observed a shift from a “research-first” to an “edit-first” approach, sparking concerns about the model’s reliability for complex tasks. After initial denials, Anthropic published a detailed post explaining that three changes in the model’s operational harness caused the downgrade: lowering the default reasoning effort from high to medium to ease UI latency, a caching bug clearing short-term memory repeatedly, and stricter system prompt verbosity limits restricting responses. These changes impacted Claude Code and associated tools but spared the Claude API. To restore trust, Anthropic reverted these changes, implemented new testing and auditing protocols, increased internal testing with public builds, and reset usage limits to compensate subscribers. The company plans to maintain transparency via social channels and GitHub.
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