All at once will send you the prompt

Created with GPT 2 on ChatGPT Prompt ⤵️ { "prompt": "Create a premium 2027 desktop calendar poster in A4 vertical format featuring the same young man from the reference image, illustrated in a Korean hand-drawn illustration style. Design a 3x4 monthly grid layout from January to December 2027. Each month should feature the character sitting in a different relaxed pose and seasonal environment while maintaining consistent facial identity, curly hair, glasses, beard, warm smile, and cozy aesthetic. Use full-body compositions with natural expressions and dynamic seated poses.\n\nArt style should combine watercolor, ink sketch, comic doodle textures, pastel washes, splatter brush strokes, freehand sketch lines, and soft painterly rendering. Keep a clean white background with artistic negative space. Surround each month with symbolic seasonal doodles and decorative edge elements such as flowers, books, coffee cups, snowflakes, pumpkins, lanterns, cameras, stars, paper planes, autumn leaves, beach props, Christmas decorations, travel icons, and whimsical sketch marks.\n\nCharacter clothing should have highly detailed knit textures, layered winter-fashion inspired outfits, soft neutral tones, rolled pants, sneakers, scarves, and cozy casual aesthetics. Maintain an elegant editorial illustration feel with high detail, atmospheric storytelling, expressive linework, and premium stationery design quality.\n\nMonthly scene concepts:\n- January: sitting with hot coffee and winter doodles\n- February: cozy seated pose with heart and flower sketches\n- March: sitting while sketching in a notebook\n- April: sitting with vintage camera and spring leaves\n- May: reading books beside stacked novels\n- June: relaxed pose with travel and sea doodles\n- July: sitting on beach chair with summer drink\n- August: seated near ocean-themed illustrations\n- September: journaling with autumn leaves\n- October: cozy Halloween-inspired atmosphere with pumpkin doodles\n- November: warm scarf and city sketch background\n- December: sitting beside Christmas decorations and gifts\n\nTypography should be elegant handwritten brush style for month titles and modern minimal calendar formatting. Use soft neutral and pastel color palettes mixed with black ink textures. Add subtle paint splashes, rough paper grain, sketch imperfections, and artistic composition balance. Ultra detailed, high quality, cinematic illustration aesthetic, premium printable calendar poster design.", "size": "1024x1792" }

👾 fresh prompt for all communities tag your community & generate logo day 20 below 👇

Ant, Wemby, Jokic and Shai are the puppets Silvers trying to prompt up to be a face but none of them have stuck

tatelogさんのprompt-pagesを見てる 意味わからなくて鬱

THIS GUY ASKED FABLE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AI RIGHT BEFORE IT GOT TAKEN DOWN the prompt: "you can you use whatever resources you like, and python, to render a short video. can you put a more personal spin on it? it should be about what it's like to be you." that was it. just python and ffmpeg and a question about its own existence. 12 minutes later, around 90,000 tokens, it produced a finished video. coherent and edited, with its own take > it wrote the code, generated the visuals, and rendered the final cut on its own > no dedicated video model in the loop, just a language model reaching for python and ffmpeg > the result is competent enough that people genuinely got emotional watching it and then fable got pulled. this video is one of the last things it made before it went dark a model asked what it's like to be itself, answered in a video, and then disappeared. this sounds so sad

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可能有人会杠，Attention(Q,K,V)这又不能吃，有什么用？？？反正也不耽误用AI...但就像学习任何知识一样，理解原理是你用好这个知识的根，AI也一样。 不懂电路原理的人，照样可以按下开关点亮灯泡。但如果灯泡闪个不停，他只能反复按开关，或者换一个灯泡，反正就是碰运气。 懂一点电路的人会知道，可能是接触不良，可能是电压不稳，可能是线路过载。他不需要成为电工，但他的那点知识让他从瞎试变成了有方向地排查。 AI是一样的。你当然可以在不懂Attention机制的情况下用ChatGPT写邮件、让Copilot补代码。这些场景下，它就像那个灯泡开关，按下去，亮了就行。但一旦遇到稍微复杂一点的情况，不懂原理的人会陷入两种极端：要么“AI太蠢了，根本没法用”，要么“AI太聪明了，快取代我了”。而懂原理的人，知道这只是一个概率接龙机器，既不崇拜也不恐惧，只是平静地利用它的优点、规避它的缺点。 Attention(Q,K,V)确实不能吃。但它解释了为什么LLM能同时关注你输入里的不同部分，为什么它能写出连贯的长文，也解释了为什么它会“忘记”你对话开头提到的关键信息。懂了这个，你就知道：如果你想让模型记住某个细节，最好在最近的对话里重复它；如果你想让模型不跑偏，最好把关键约束放在prompt的最后而不是开头。这些不是玄学，是从原理里长出来的实用技巧。 所以，回到那开头说的，不懂反正也不耽误用AI。是的，不耽误“用”，但耽误的是“用好”。用和用好之间，差的正是你对工具内部运作的那一点点认识。就像开车，不懂发动机也能开，但懂一点的人知道什么时候该降档、为什么冬天要热车、为什么刹车不能一脚踩死，这些知识不是用来炫耀的，是用来让你开得更安全、更省油、更少出故障的。 AI也一样。Attention不能吃，但无论你听到的是Attention、QKV、多头注意力、位置编码、FFN、残差连接、层归一化、预训练、微调、SFT、RLHF、奖励模型、PPO、上下文学习、思维链、涌现能力、幻觉、对齐、温度、Top-K、Top-p、logits、交叉熵损失、梯度消失、缩放点积、因果掩码、KV缓存、MoE、上下文窗口还是分词等等...这些概念不需要你全部背下来，只要知道它们背后都在说同一件事：你手里的AI只是一个概率接龙机器。它就能让你在AI翻车的时候不跟着翻车，在别人恐慌的时候保持平静，在别人盲目崇拜的时候保持清醒。这就是你知识体系中有这个根做锚点的价值。 当知识体系有锚点以后，在使用中当你遇到 AI 翻车时，你就能知道问题大概出在哪个环节，知道怎么调整 prompt、怎么拆分任务、怎么给它喂上下文、怎么让它调用工具、什么时候该信它、什么时候必须关掉它。 这不像背公式那样有标准答案，更像开手动挡的车，你不需要懂发动机的每个零件，但你要知道什么时候踩离合、什么时候换挡、为什么上坡不能挂高档。这些经验没法从一本手册里完全学到，只能在理解和实践中积累。 而理解原理，正是积累这些 Know How 的起点。没有这个起点，你永远停留在“按开关”的阶段：灯亮了就开心，灯不亮就骂街，永远不知道问题出在灯泡、线路还是开关本身。 所以，懂 LLM 的原理不是为了考试，不是为了吹牛逼，而是为了让你在真实世界的不确定性里，拥有一种可迁移的判断力。LLM不会学习，但我们会啊。

I made a 3-day Claude Cowork for Beginners course, and it's yours for free by the end, you'll have a personalized AI teammate on your computer that: • knows your style • connects to your tools • and produces finished work you can send immediately here's what you get: day 1: install cowork, set global instructions, and run your first real task (15 min) day 2: workflows that replaced hours of my week, including building landing pages from a description and running full competitive analyses in one prompt day 3: skills, plugins, and connectors so cowork actually knows how you work and can access your tools copy-paste prompts so you can follow along as you read like comment "MASTER" and i'll DM it to you Must be following to get the DM

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prompt: Use the uploaded profile picture as the main reference image. Carefully read the PFP first and extract these traits before designing the battlestation: the dominant colours, the overall energy and personality — deadpan, cute, chaotic, stylish, mysterious, loud, minimal, awkward, serious, playful, etc., the visual weight — light, heavy, simple, busy, soft, sharp, rounded, angular, etc., the most distinctive visual features — silhouette, head shape, hair shape, visor, eyes, accessory, expression, posture, clothing shape, symbol, or background colour. Create one single image of a battlestation only. Do not include the original PFP in the final image. Do not create a side-by-side comparison. Do not create a split layout. Do not create a collage. Do not add text, captions, logos, or watermarks. The battlestation must feel like a physical manifestation of the PFP’s personality. It should feel like: “this PFP turned into a battlestation.” Use the single most distinctive feature of the PFP as the main design move. Translate that feature into the battlestation’s overall setup, silhouette, desk shape, monitor arrangement, PC case form, chair shape, lighting design, or room composition so the connection feels immediate and obvious. Use 1–3 secondary features as supporting battlestation details — keyboard style, keycap colours, mousepad design, speaker placement, RGB accents, wall decor, shelf objects, cable styling, desk accessories, figurines, lighting strips, acoustic panels, monitor wallpaper vibe, or material choices. The humour should come from deadpan literalism: the battlestation should take the character seriously as an actual setup. It should feel slightly absurd, overcommitted, and personality-heavy, but still plausible enough that someone could really own it. Aim for 70% character translation and 30% realistic battlestation design. Prioritise recognisability and personality over generic setup aesthetics. Important: do not default to a generic RGB gaming setup, generic minimalist desk, or generic streamer room. Avoid making it merely stylish, vague, or over-designed. Avoid turning the PFP into only a moodboard. Preserve the PFP’s recognisable character through the battlestation design itself. If the PFP is a stylish anime or human portrait, keep the humour by translating the attitude, silhouette, expression, posture, and defining feature into a battlestation with personality — not just a fashionable desk setup. Colour extraction rule: derive the battlestation palette primarily from the PFP subject itself. However, if the background colour is vivid or distinctive, treat it as an important part of the palette and visibly incorporate it into the setup through wall colour, LED lighting, desk finish, chair accents, peripherals, monitor glow, shelf colour, or decorative objects. Carry the PFP palette into the battlestation using believable materials and objects: painted desk surfaces, metal frames, plastic peripherals, RGB lighting, fabric chair upholstery, desk mats, monitor bezels, PC case panels, wall finishes, shelves, and room accessories. Composition: create a single wide cinematic battlestation scene. The battlestation should be shown in a clear, slightly cinematic view, enough to see the full setup and room personality. Lightly contextualised room background only — do not let the background overpower the setup. The final image should feel distinct, memorable, funny, and scroll-stopping, like a real setup that perfectly matches the character.

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The AI reading the prompt:

ハルさん(@CyberTotal2026)の素敵なPromptを、またまたお借りして、 甥っ子ちゃんと遊ばせてもらいますw リアルは天気が悪くてこうはいきませんがw 二枚目の甥っ子ちゃん、どこに乗ってるのかな？😂