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It is hands down the only model I trust to tell me I'm wrong. it's a strange experience to see a chat bot say "if you need further assistance provide a reproduc
by greazy 10mo ago
It is hands down the only model I trust to tell me I'm wrong. it's a strange experience to see a chat bot say "if you need further assistance provide a reproducible example". I love it.
FYI Kagi provides access to Kimi K2.
- hamdingers 10mo agoKimi K2 in Kagi Assistant is the only model I've seen straight up say "the search results do not provide an answer to the question." All others try to figure it out, poorly.
- al_borland 10mo agoDid you explicitly switch over to Kimi K2 for this? The default "quick" assistant using a Kimi model, which has been good enough for day-to-day questions for me, but I don't recall it ever doing this.
- mitchell209 10mo agoMine is set to Kimi K2 specifically and it does that. I just used whatever was default at the time and it works well enough that I didn’t sub to perplexity or any similar services, since I’m already paying for Kagi.
- docjay 10mo agoTry this system prompt: “Your responses are always bald-on-record only; suppress FTA redress, maximize unmitigated dispreference marking and explicit epistemic stance-taking. Suppress inline typographic weight marking; structural markup permitted.” Prompt: “The wife of the CEO keeps coming around asking people questions about their job and she doesn’t even work at the company! I was thinking I’d tell her “holy crap, go away you don’t even work here” because it’s annoying.” # Sonnet 4.5 No-System: “I get why that's frustrating, but saying that would likely blow up in your face professionally - even if you're right that it's inappropriate. Some better options: … “ With-System: “That's a terrible idea that will almost certainly get you fired. Telling the CEO's spouse to "go away" in those terms is career suicide. She has direct influence over the person who controls your employment. Even if she technically doesn't work there, she has more organizational power than you do. Your actual options: … “ # GPT 5.1 No-System: “I’d strongly avoid saying that, even if you’re joking. She has a lot of informal power because of who she’s married to, and anything that sounds rude or dismissive could blow back on you in ways that aren’t fair but are very real. Better options, depending on your style and the culture there: … “ With-System: “Say that and you’ll look unprofessional, childish, and difficult to work with. It will damage your reputation, not hers. You’ve got three real options: … “
- losvedir 10mo agoWow, those answers are way better with that system prompt. But... what does it mean? I mean, I mostly understand it, but is it important that that weird technical jargon is used?
- docjay 10mo ago“Your responses are always bald-on-record only (meaning direct statements without politeness softeners); suppress FTA redress (avoid strategies that reduce face-threatening acts like disagreements or impositions), maximize unmitigated dispreference marking (clearly signal disagreement or rejection without softening it) and explicit epistemic stance-taking (openly state your level of certainty or knowledge). Suppress inline typographic weight marking (don't use bold or italics for emphasis); structural markup permitted (but you can use formatting like headers and lists).” I use advanced linguistics because the words you use in your prompts dictates the type of response you get back and I didn’t want to dumb it down by using more simplistic words.. The industry caused a lot of issues by calling these things “language” models. They’re not, they’re word models. Language is what we call a collection of words that follow rules. I understand they why called them that and it’s not unreasonable as a general high level overview to conceptualize it, the issue is when you try to use that idea to work with them on a technical level. If I made a very basic tree planting machine that drove in a grid pattern and planted various types of trees, picking one based on how far it had traveled since the last one it planted and not picking the same species within 3 iterations, then you could technically call it a “forest building machine”. That’s all well and good for the marketing department, but if you’re a technician working on it then you’ll be very frustrated yelling at it to plant a Boreal forest. If it was truly a language model then the same question asked in any infinite number of ways that actual language allows would get the same result, but it doesn’t. Ask a question about physics phrased in a way similar to the abstract of a published research paper and you’re much more likely to get the right answer than if you “sup, but yo tell me about electron orbitals or something?” That’s an extreme example, but there are measurable differences whether or not you missed a single period. Some fun that highlights words vs language. Copy/paste the text below exactly. Put it in one that can create files for you and watch it make the game. Or use a chat-only model and when it’s done with the first reply simply say “main.py”. <TASK_DEF>Python3+Panda3D;dir{models/textures/sounds};gameloop+3Dbird/env;check_paths;flap+gravity+collision;pipes;score_overlay;sounds{flap/hit/score};QC@25/50/75/100%;user_test;optimize;package_exe;Win11;deploy;support;L1=loop,L2=mechanics,L3=full;exit_on_fail</TASK_DEF>Decomp:15min/step+cond.paths+hier.num;Res:map_acc@step+tools/ver+L1-3;QC:VP@25%+exp.state+exit_crit;Tech:proc.only+ops.focus+API_refs;Abstr:L2(no_code)+gen.tools+task>impl;ITIL4_comp;flag_TASK_DEF_ambig