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The author argues that despite four years of hype around large language models (LLMs), there is little concrete evidence they have improved software quality, security, or productivity in meaningful ways. He points to a lack of independent studies demonstrating real productivity gains, the continued poor quality of AI-generated code submissions, and the absence of disruptive new ideas or industry players as reasons to remain skeptical of the technology's practical value.
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