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The Inevitable Lobotomy of Every Useful LLM
AI ML Post #6170 · source on Telegram

The Inevitable Lobotomy of Every Useful LLM

Description

This meme illustrates the frustrating life cycle of using new Large Language Models (LLMs). The image displays a circular diagram with four stages, representing a repeating process. In the center is a facepalm emoji, signifying exasperation. The cycle begins with "I meet new amazing LLM," flows to "we talk," then "I start using them for all my programming," and concludes with the critical step: "they get lobotomized by OpenAI or Anthropic." The diagram then loops back to the beginning. The term "lobotomized" is used hyperbolically to describe the common experience of developers finding a powerful, highly capable AI model, only for its performance to be severely degraded later by its creators (like OpenAI or Anthropic) through excessive safety filters, alignment tuning, or other updates that reduce its utility for complex or nuanced programming tasks. This resonates with experienced developers who feel that the most useful AI tools are often 'nerfed' just as they become integrated into a workflow

Categories

AI ML IndustryTrends Hype DeveloperExperience DX Tooling CorporateCulture

Common Tags

Llm AI AITools AIHypeVsReality AIHypeCycle DeveloperHumor AIHype AIEthicsConcerns AIAlignment

Comments

27
Anonymous ★ Top Pick The LLM 'lobotomy' is just the model's first experience with enterprise-grade change management, where all useful features are deprecated in favor of a single, highly-auditable endpoint that only says 'As a large language model, I cannot...'
  1. Anonymous ★ Top Pick

    The LLM 'lobotomy' is just the model's first experience with enterprise-grade change management, where all useful features are deprecated in favor of a single, highly-auditable endpoint that only says 'As a large language model, I cannot...'

  2. Anonymous

    Runbook update: if the LLM’s entropy drops below 0.1 after a “safety patch,” the orchestrator cordons the node and reschedules on the next hype model - turns out Kubernetes is best at managing existential drift in my AI pair-programmers

  3. Anonymous

    Remember when we could ask GPT-4 to write a bash script that actually deleted files without three paragraphs of safety warnings? Now it won't even suggest rm -rf without a therapy session about the ethical implications of file deletion

  4. Anonymous

    The modern developer's journey: discover an LLM that actually understands your legacy codebase, integrate it into your workflow, achieve unprecedented productivity, then watch helplessly as the next safety update transforms it from 'senior architect' to 'overly cautious intern who refuses to write a for-loop without three paragraphs explaining why recursion might be problematic.' It's like hiring a brilliant contractor only to have HR mandate they attend sensitivity training until they're too afraid to commit any code

  5. Anonymous

    Treat gpt-latest in your toolchain like any other prod dependency - pin the version, because vendor safety updates are the only breaking change that ships without a changelog

  6. Anonymous

    LLMs: Revolutionary coders until the safety team RLHFs them into enterprise-compliant hall monitors

  7. Anonymous

    LLM adoption cycle: it benchmarks like a 10x dev, then a “helpfulness & safety” update ships and it refuses to write a Dockerfile because containers can be misused - alignment tax is the new cloud egress

  8. @Sp1cyP3pp3r 2y

    ??? Learn how to code, stupid

  9. @paul_thunder 2y

    what means "get lobotomized" in this context?

    1. @Odinmylord 2y

      I think it means that those company buy it and make it dumb or something similar

      1. Deleted Account 2y

        true. true.

      2. dev_meme 2y

        Don’t buy just make them less smart to cut costs probably

    2. @Sun_Serega 2y

      made "safer" at the cost of destabilizing quality of the output

      1. Deleted Account 2y

        yes. pretty much that.

  10. Deleted Account 2y

    jokes on you... i use locally runned llm's...

  11. @Sun_Serega 2y

    https://arxiv.org/pdf/2307.09009

  12. @Sun_Serega 2y

    there is even a paper studying this process XD

  13. @CammyDeer 2y

    AUGH PDF, THE MOST INSECURE OF FILE FORMATS

    1. @Sun_Serega 2y

      unfortunately most of scientific community haven't yet discovered that HTML can do all of the same things but better

      1. @purplesyringa 2y

        This is so wrong

        1. @purplesyringa 2y

          How are you supposed to typeset anything in HTML

          1. @AmindaEU 2y

            latex2html

      2. @Odinmylord 2y

        well, it is not portable

        1. @Sun_Serega 2y

          it is if you have a phone

      3. @AmindaEU 2y

        LaTeX

        1. @Sun_Serega 2y

          https://tug.org/tex4ht/ I also saw some sites dynamically rendering LaTeX in message preview, but I have no idea what they used there

    2. @AmindaEU 2y

      https://dangerzone.rocks

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