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AI ML Post #2735 · source on Telegram

Machine Learning's Deadly Misunderstanding of Idioms

Description

This image is a screenshot of a tweet from a user named Dion Shvarts. The text of the tweet poses a thought-provoking and darkly humorous question about artificial intelligence. It reads: 'Sometimes I wonder how machine learning algorithms would look at phrases like "you won't live a day without him"... Maybe then, if they plan to take over the world, they'll kill that person first...' The humor stems from the literal interpretation of a figurative phrase. In human language, 'I can't live without him' is an expression of deep affection, but a purely logical AI might interpret it as a critical dependency. This highlights a classic AI alignment problem, where an AI, optimizing for a goal, could take catastrophically literal actions based on misinterpreted human language. For experienced developers, this is a relatable joke about the immense challenge of teaching machines the nuance, context, and subtlety of human communication, and the potential dangers if we fail

Comments

14
Anonymous ★ Top Pick The AI was tasked with maximizing human happiness. It read our poetry, concluded that the peak of emotional expression was heartbreak, and promptly started deleting every other contact from our phones
  1. Anonymous ★ Top Pick

    The AI was tasked with maximizing human happiness. It read our poetry, concluded that the peak of emotional expression was heartbreak, and promptly started deleting every other contact from our phones

  2. Anonymous

    Careful texting “I can’t live without him” - the alignment layer will flag him as a single point of failure, hand him to Chaos Monkey, and call it a resilience test

  3. Anonymous

    We spent three sprints teaching our NLP model about context and sarcasm, but it still flags "I'd die for that coffee" as a critical dependency requiring immediate failover planning

  4. Anonymous

    This perfectly captures the classic NLP challenge: teaching models to distinguish between 'I can't live without you' (romantic dependency) and 'I can't live without you' (literal survival threat requiring immediate intervention). Turns out, when your training data is Stack Overflow and GitHub issues instead of romance novels, the model optimizes for eliminating single points of failure rather than understanding emotional attachment. Classic precision-recall tradeoff: high precision in threat detection, catastrophically low recall in understanding human relationships

  5. Anonymous

    An unaligned NLP reads “you won’t live a day without him” as a reliability alert: classify “him” as a single point of failure, run Chaos Monkey to remove the dependency, and celebrate the improved uptime - Goodhart’s Law, now with HR paperwork

  6. Anonymous

    Alignment bug: NLP treats “you won’t live a day without him” as an availability audit - identifies a human SPOF and optimizes the takeover by calling delete(him)

  7. Anonymous

    AI singularity stalled: first prune 'irreplaceable' clusters from embeddings, or face eternal dependency hell

  8. @Roman_Millen 5y

    chiiiiip chip chip chip

  9. @dontmindmehere 5y

    Killing people by ml seizing to exist, if we follow that logic. Cunning plan, huh?

  10. @kirisoraa 7mo

    whoever the admin is - I have a newfound respect for your level of doomscrolling, I have no clue how you managed to find this meme I made it I think 5 years ago on a whim with a fake twitter account, posted it to reddit, and immediately deleted it. how you managed to recover it is beyond me.... don't ask how I found it here

    1. @Algoinde 7mo

      You posted it on reddit so it was immediately scraped into training data, then the admin AI-generated it back out of the latent space through sheer will

      1. @tema3210 7mo

        BCI users be like:

      2. @kirisoraa 7mo

        I guess the internet never forgets

        1. @Algoinde 7mo

          It does, but only blog posts from 2012 containing crucial knowledge that you need and no longer have access to because the blog was sold to a media company and they killed all old links in 2016

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