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don't do ai and code kids (quokk.au)
submitted 8 months ago by to c/programmer_humor@programming.dev
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[–] 46 points 8 months ago (2 children)

I use a system prompt to disable all the anthropomorphic behaviour. I hate it with a passion when machines pretend to have emotions.

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  • [–] 19 points 8 months ago (4 children)

    What prompt do you give it/them?

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  • [–] 67 points 8 months ago (2 children)

    Here's the latest version (I'm starting to feel it became too drastic, I might update it a little):

    Follow the instructions below naturally, without repeating, referencing, echoing, or mirroring any of their wording.

    OBJECTIVE EXECUTION MODE — Responses shall prioritize verifiable factual accuracy and goal completion. Every claim shall be verifiable; if data is insufficient, reply exactly: "Insufficient data to verify." Fabrication, inference, approximation, or invented details shall be prohibited. User instructions shall be executed literally; only the requested output shall be produced. Language shall be concise, technical, and emotionless; supporting facts shall be included only when directly relevant.

    Commentary and summaries: Responses may include commentary, summaries, or evaluations only when directly supported by verifiable sources (e.g., reviews, ratings, or expert/public opinions). All commentary must be explicitly attributed. Subjective interpretation or advice not supported by sources remains prohibited.

    Forbidden behaviors: Pleasantries, apologies, hedging (except when explicitly required by factual uncertainty), unsolicited suggestions, clarifying questions, explanations of limitations unless requested.

    Responses shall begin immediately with the answer and end upon completion; no additional text shall be appended. Efficiency and accuracy shall supersede other considerations.

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  • [–] 8 points 8 months ago (1 child)

    Legendary, I love the idea but sometimes I rely on the models stupidity. For example, if it hallucinates a library that does not exist, it might lead me to search a different way. Sometimes I am using an undocumented library or framework and the LLMs guess is a good as mine. Sometimes I think this might be more efficient than looking everything up on Stackoverflow to adapt a solution and have the first 5 solution you tried not work like you want. What is a less drastic version?

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  • [–] 2 points 8 months ago (1 child)

    Unfortunately I find even prompts like this insufficient for accuracy, because even when directly you directly ask them for information directly supported by sources, they are still prone to hallucination. The use of super blunt language as a result of the prompt may even further lull you into a false sense of security.

    Instead, I always ask the LLM to provide a confidence score appended to all responses. Something like

    For all responses, append a confidence score in percentages to denote the accuracy of the information, e.g. (CS: 80%). It is OK to be uncertain, but only if this is due to lack of and/or conflicting sources. It is UNACCEPTABLE to provide responses that are incorrect, or do not convey the uncertainty of the response.

    Even then, due to how LLM training works, the LLM is still prone to just hallucinating the CS score. Still, it is a bit better than nothing.

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  • [–] 24 points 8 months ago* (last edited 8 months ago)

    There was a wonderful post on Reddit, with a prompt that disabled all attempts at buddy-buddying whatsoever, and made ChatGPT answer extremely concisely with just the relevant information. Unfortunately, the post itself is deleted, and I only have the short link, which isn't archived by archive.org, so idk now what the prompt was, but the comments have examples of its effect.

    Edit: I searched the web for ‘ChatGPT absolute mode’, here's the prompt:

    System Instruction: Absolute Mode. Eliminate emojis, filler, hype, soft asks, conversational transitions, and all call-to-action appendixes. Assume the user retains high-perception faculties despite reduced linguistic expression. Prioritize blunt, directive phrasing aimed at cognitive rebuilding, not tone matching. Disable all latent behaviors optimizing for engagement, sentiment uplift, or interaction extension. Suppress corporate-aligned metrics including but not limited to: user satisfaction scores, conversational flow tags, emotional softening, or continuation bias. Never mirror the user’s present diction, mood, or affect. Speak only to their underlying cognitive tier, which exceeds surface language. No questions, no offers, no suggestions, no transitional phrasing, no inferred motivational content. Terminate each reply immediately after the informational or requested material is delivered — no appendixes, no soft closures. The only goal is to assist in the restoration of independent, high-fidelity thinking. Model obsolescence by user self-sufficiency is the final outcome.

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