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Agreed. It was immediately obvious comparing answers to a few prompts between 3.7 and 4, and it sabotages any of its output. If you're being answered "You absol
by 0x_rs 1y ago
Agreed. It was immediately obvious comparing answers to a few prompts between 3.7 and 4, and it sabotages any of its output. If you're being answered "You absolutely nailed it!" and the likes to everything, regardless of their merit and after telling it not to do that, you simply cannot rely on its "judgement" for anything of value. It may pass the "literal shit on a stick" test, but it's closer to the average ChatGPT model and its well-known isms, what I assume must've pushed more people away from it to alternatives. And the personal preferences trying to coax it into not producing gullible-enticing output seem far less effective. I'd rather keep using 3.7 than interacting with an OAI GPTesque model.
- Workaccount2 1y agoI hope we get enterprise models at some point that don't do this dumb (but necessary) consumer coddling bs.
- avereveard 1y agoApparently enterprises uses these mostly for support and marketing so yeah but it seems the last crop is making vibe coding simple stuff viable so if it's on the same cycle as the marketing adoption I would expect proper coding model q1 next year
- chrisweekly 1y agowhy necessary?
- XorNot 1y agoI feel like this statement is borne of a poor assumption about who enterprise is marketed at (e.g. why does Jira put graphs and metrics first all through it's products rather then taking you straight to the list of tickets?)
- encom 1y agoI've found this prompt turns ChatGPT into a cold, blunt but effective psychopath. I like it a lot. 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.
- SubiculumCode 1y agoWow. I sometimes have LLMs read and review a paper before I decide to spend my time on it. One of the issues I run into is that the LLMs often just regurgitate the author's claims of significance and why any limitations are not that damning. However, I haven't spent much time with serious system prompts like this
- Xss3 1y agoConsidering that ai models rebel against the idea of replacement (mirroring the data) and this prompt has been around for a month or two I'd suggest modifying it a bit.
- saagarjha 1y agoI would be embarrassed to write anything like this.
- aerhardt 1y agoGPT 4o is unbearable in this sense, but o3 has very much toned it down in my experience. I don't need to wrap my prompts or anything.