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Gary Marcus warns AI code generation lacks quality, security, and maintainability

By PulseAugur Editorial · [1 sources] ·

Gary Marcus argues that AI-generated code, even if it compiles and passes tests, does not equate to high-quality, secure, or well-architected software. He highlights a statement from OpenAI's president suggesting AI writes 80% of the company's code, but cautions that current AI capabilities, while adept at generating functional code, fall short in ensuring robustness and maintainability. Marcus warns both general users and specific AI coding tool enthusiasts to be aware of these limitations. AI

IMPACT AI-generated code may not meet professional standards for security and maintainability, requiring human oversight.

RANK_REASON Opinion piece by a named, credible voice evaluating AI capabilities.

Read on Gary Marcus →

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

Gary Marcus warns AI code generation lacks quality, security, and maintainability

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Opinion piece by a named, credible voice evaluating AI capabilities.
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opinion, product
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148 days old
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COVERAGE [1]

  1. Gary Marcus TIER_1 English(EN) · Gary Marcus ·

    “A model that produces code which compiles and passes the tests it was given is not the same as a model that produces correct, secure, maintainable, well-architected software”

    A lot of code is being written by AI, but what does it mean?

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