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AI models hallucinate 28 percent of software dependency upgrade recommendations, study finds

Leaving software dependency decisions to AI models can be risky, a study found. DevSecOps firm Sonatype analysed 36,870 dependency upgrade recommendations generated across four package repositories and reviewed 258,000 recommendations produced by seven AI models from Anthropic, OpenAI and Google. In an earlier study, nearly 28 percent of upgrades recommended by OpenAI GPT-5 were hallucinations involving non-existent versions or paths. A follow-up study found errors persisted in newer models.