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AI ML Post #6744 · source on Telegram

A Developer's Poetic Warning on AI Integration

Description

A screenshot of a post from the social media platform Bluesky by user @joles.bsky.social. The post is captioned 'applying for jobs again' and contains an image of a job application question followed by a highly literary and metaphorical response. The question asks: 'Can you describe specific ways you have integrated AI tools into your development workflow? Please include any custom setups, automations, or use cases beyond simple prompt usage.' The response is a multi-paragraph, poetic description of a 'monster in the forest' that 'speaks with a thousand voices.' This monster, a clear allegory for generative AI, can answer any question and offer immense power, but it is amoral, knowing 'no right and no wrong.' The text warns that while its services seem free, there is a hidden price. The chilling conclusion states, 'when you dream you see the monster; the monster wears your face,' symbolizing a loss of individual identity, creativity, and originality through over-reliance on AI tools. The humor arises from the stark contrast between the expected dry, corporate response and this profound, cautionary, and almost Lovecraftian philosophical treatise

Comments

34
Anonymous ★ Top Pick The hiring manager wanted to know if you could pipe `git diff` into a GPT-4 prompt. They were not prepared for a full-blown SCP Foundation entry on generative AI
  1. Anonymous ★ Top Pick

    The hiring manager wanted to know if you could pipe `git diff` into a GPT-4 prompt. They were not prepared for a full-blown SCP Foundation entry on generative AI

  2. Anonymous

    Yes, I’ve container-wrapped the forest monster behind an internal API gateway - rate-limited so it only consumes souls at 30 requests per minute

  3. Anonymous

    After 15 years of watching tools promise to 'revolutionize development,' you realize the real monster isn't the AI that writes your code - it's the technical debt from the junior who copy-pasted its hallucinations straight into production without understanding why the unit tests suddenly started speaking in tongues

  4. Anonymous

    When the hiring manager asks about your AI workflow integration and you respond with existential poetry about forest monsters, you're either getting hired immediately by a visionary CTO who appreciates the philosophical implications of LLM dependency, or you're getting filtered out by an ATS that ironically uses the very AI you just metaphorically warned about. Either way, the monster has already read your resume - it just hasn't decided whether to wear your face yet

  5. Anonymous

    Custom AI workflow: Prompt the forest monster for specs, deploy its fabrications to prod, then spend sprints herding its emergent CAP theorem violations

  6. Anonymous

    Asked how I used AI beyond prompts, I said I wrapped the stochastic parrot with a retriever, a rate limiter, and OPA guardrails - now the monster speaks with a thousand voices, but only within an 8k context and our budget

  7. Anonymous

    Our AI “integration” ships as a feature flag called summon_monster behind a rate-limited proxy with DLP and audit logs - because the last time Legal said the monster was wearing a customer’s face

  8. @pulsar_sp 1y

    ts is so peak

  9. @pulsar_sp 1y

    or smth, I don't speak genZ really well

    1. @mihanizzm 1y

      ur doing well

  10. @qwnick 1y

    this is good

  11. @lilfluffyears 1y

    I can just feel how HR didn't even read that and just instantly denied them.

  12. @Turok1234 1y

    it is also dumb as fuck

    1. @nightingazer 1y

      how so?

      1. @Turok1234 1y

        I genuinely do not understand how ChatGPT works well for some people and yet is practically unusable for others at the same time. Are those people some kind of prompt wizards, or are they just so dumb they can't notice it?

        1. @Algoinde 1y

          Different levels of base intelligence and knowledge

          1. @Algoinde 1y

            Or they're asking it too much and it just can't handle big context windows, or the explanation of the problem is so bad a regular human wouldn't even understand it

            1. Deleted Account 1y

              Average tech support guy experience

              1. @Algoinde 1y

                "when i put string in python, how can it return value of sum of all strings" is one prompt i saw someone do with my own eyes juniors............

                1. @Algoinde 1y

                  it took chatgpt 6 paragraphs to come up with possiblities of what it might mean and then 1 paragraph to actually answer it

                2. Deleted Account 1y

                  People explaining an error to tech support are a higher level of stupid

                  1. @Algoinde 1y

                    i didn't do anything, then it show error so i closed it, nothing is working

                3. @deadgnom32 1y

                  I think I know where it comes from. you actually do concatenation using + sign. and a misconception is so common that python even has a special Error message for this case. but if you don't use the sum function, what you do with strings kinda looks like summing.

                  1. @Algoinde 1y

                    no they had a task where they received data from standard input, and had to sum the numbers from the input (they were in string form)

                  2. @CcxCZ 1y

                    from operators import plus Sum over non-integers used to work in py2 though the docs discouraged it. They changed that along with other breaking changes when going to py3 I believe. I'm not sure about the rationale, but making sum() always produce numeric result helps the (optional) static type checkers. Same for ''.join() always producing strings. OTOH reduce() requires rather complex inference to figure out what the resulting type will be.

            2. @Turok1234 1y

              I'm pretty sure I can understand a change to a Docker file, no need to rewrite it from scratch

        2. @nightingazer 1y

          ah, so you're talking about ai overall? I've thought I've been talking about this text itself (which I find pretty awesome)

          1. @Turok1234 1y

            I am talking about LLMs in general

        3. @CcxCZ 1y

          Amount of time spent solving things myself is way smaller than checking LLM output for correctness.

        4. @ZgGPuo8dZef58K6hxxGVj3Z2 1y

          Yes. I have seen so many people ask questions wrong and getting wrong or stupid answers. Not to mention imo stock chatgpt is unusable without "customize chatgpt"

  13. @Algoinde 1y

    it depends

  14. アレックス 1y

    good concept, but very sloppily done; the monster already has my face, nor is the monster mimicing me shown explicitly to be a bad thing

  15. アレックス 1y

    Better literary "AI bad" quote: Man, the flower of all flesh, the noblest of all creatures visible, man who had once made god in his image, and had mirrored his strength on the constellations, beautiful naked man was dying, strangled in the garments that he had woven. Century after century had he toiled, and here was his reward. Truly the garment had seemed heavenly at first, shot with colours of culture, sewn with the threads of self- denial. And heavenly it had been so long as it was a garment and no more, man could shed it at will and live by the essence that is his soul, and the essence, equally divine, that is his body. The sin against the body — it was for that they wept in chief; the centuries of wrong against the muscles and the nerves, and those five portals by which we can alone apprehend — glozing it over with talk of evolution, until the body was white pap, the home of ideas as colourless, last sloshy stirrings of a spirit that had grasped the stars. —E.M. Forester, 1902

  16. @Agent1378 1y

    I what this read in "brother may I have some oats" voice

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