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AI-generated code ships successfully, user claims

By PulseAugur Editorial · [1 sources] ·

A Mastodon user asserts that code generated by large language models can be successfully deployed. They argue that the quality of AI-generated code depends on the input data, referencing the "garbage-in, garbage-out" principle and Gödel's incompleteness theorems. AI

RANK_REASON User-generated content on a social media platform without broader industry impact or verifiable claims.

Read on Mastodon — mastodon.social →

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

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    @ p_chip1 Not sure where your guesses are coming from, but they're poorly sourced. LLM-generated code ships just fine. # AI can't solve the garbage-in, garbage

    @ p_chip1 Not sure where your guesses are coming from, but they're poorly sourced. LLM-generated code ships just fine. # AI can't solve the garbage-in, garbage out problem, however. Gödel's incompleteness theorems still hold true.

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