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FantiaとFANBOX更新しました❤ 今回は日焼け跡ジュンちゃんと身体洗いっこからの生えっち&生中〇し差分です❤❤❤ 画像は参考までに🙏 My support site has R18 illustrations that you can't see here❤ よろしくお願いします🥰🙏 Fantia FANBOX
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Google Pics — our image creation and editing tool in @GoogleWorkspace — is rolling out to Google AI Pro and Ultra subscribers and most Workspace business customers. Built on our Nano Banana image generation and editing model, Pics gives you the control you need to create whatever you're imagining — like designing a poster, producing social media posts, or editing digital illustrations. It also includes a suite of fine-tuned editing capabilities that let you generate images and make precise edits rather than starting from scratch.
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ドレスが慣れていないイヴリン SFW illustration #ゼンゼロ# #ZenlessZoneZero‌#
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Cognitive reward shapes in sports and career Sports are amazing environments to learn. When you play a sport for thousands of hours, you start to see the world through that sport. It is a simple fact—your biological neural network is being conditioned to respond to the behavior incentivized by the rules of the sport. The funny thing is that most people choose their sports for accidental reasons such as parents, geography, or school programs. People rarely think about how the particular sport you play influences how your brain thinks more generally. Going a step further, playing the right sport may even benefit your career. My two favorite sports are tennis and soccer. Tennis is one of the best sports for teaching consistency. In tennis, there are hundreds of points in a match, and each point is worth exactly one unit, regardless of whether your opponent made an unforced error or if you constructed the most beautiful point ending with a winner. Tennis is low-variance optimization—you win by reducing unforced errors, playing percentages, and grinding out small advantages. Tennis is also an individual sport, which teaches you to rely on yourself consistently. Tennis has a similar cognitive reward shape to professions like being a surgeon or a pilot. Surgery and aviation require consistency, self-accountability, and deep focus. And similar to how you can only win one point at a time in tennis no matter how spectacular it was, there is no extra credit for the best appendectomy or the smoothest SFO-JFK flight. Your craft is to provide consistency with very low tolerance for error. On the other hand, the tennis mindset transfers relatively little to entrepreneurship. Entrepreneurship is a high-variance, team game where failure is tolerated and occasional creativity gets rewarded exponentially. Minimizing unforced errors in tennis is a totally different mindset from deciding whether to make a moonshot business move that will likely fail but could potentially net a billion dollars. Obviously I am not saying that tennis players cannot be great entrepreneurs, but I do think it is a totally different cognitive reward shape. Being a forward in soccer has a much closer reward shape for entrepreneurship. What a forward in soccer learns is to create many small chances. It is a fact that most of the game, you are not scoring—even if you look at all the times that Mbappe got on the ball in one of his best games, most of those led to nothing! But all that matters is creating enough chances to score once (or a few times) and win the game. If you break down a 90-minute game for a forward, almost all the time is failure or noise, a few minutes will be leverage, and a few seconds will determine the fate of the game. I have not played soccer for thousands of hours, but I can imagine that being a lifetime forward in soccer would teach you to be comfortable with failure and asymmetric returns. In summary, I am claiming that there can be substantial value when the cognitive reward shape of your sport mirrors that of your career. I’ll admit that I’ve done some cherry-picking for illustration purposes—entrepreneurship also requires consistency and error avoidance; and goalies in soccer have reward shapes that are very different from strikers. But I think the point stands. If sports shape how we perceive risk, effort, and reward, then we should choose them wisely.
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FantiaとFANBOX更新しました❤ 今回はお互い身体を洗いっこする大人しそうな娘と生えっち&生中〇し差分です❤❤❤ 画像は参考までに🙏 My support site has R18 illustrations that you can't see here❤ よろしくお願いします🥰🙏 Fantia FANBOX
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Kotama(camp) This was an extra illustration included with JP version of Kotama doujinshi I did in C104 but I don't think I've ever posted it publicly.
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FantiaとFANBOX更新しました❤ 今回はこの夏何か始まる気がする隣のあおのさんと生えっち&生中〇し差分です❤❤❤ 画像は参考までに🙏 My support site has R18 illustrations that you can't see here❤ よろしくお願いします🥰🙏 Fantia FANBOX
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中文内容创作者,必装的 10 个 skill 1|Humanizer-zh 中文"去 AI 味"神器,专抓空话、套话、三段式、过度排比那股机器腔,改得像人写的(归藏做的汉化版)。 2|dbskill 内容"选题诊断器",帮你诊断商业表达、抠 hook、拆爆款、想小红书标题。 3|content-research-writer 从选题、找资料、列提纲到初稿,一条写作流跑通,公众号、长文、Newsletter 都能写。 4|notebooklm-skill 让 NotebookLM 先查资料、Claude 再动笔,基于你的资料库写,少胡编,适合深度文和行研。 5|khazix-skills 卡兹克开源的写作合集,写作流偏重,适合啃 AI 热点分析、万字长文、深度观点。 6|ian-xiaohei-illustrations 正文配图神器,把观点、流程、情绪画成"小黑"手绘插图,不是随便甩你一张图。 7|guizang-social-card-skill 写完文章直接切成小红书图文和公众号封面,一篇长文拆成多张能发的卡片。 8|baoyu-skills 宝玉做的视觉工具箱,封面、信息图、结构图、图解都能出,专管文章包装。 9|guizang-ppt-skill 把文章观点做成 PPT、演讲图、公众号头图、小红书封面,二次分发省事。 10|html-anything 把 Markdown、文案变成好看的 HTML 页面、海报、卡片、PNG,杂志风、知识卡都能做。
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Lucy / ルーシー SFW Illustration #zzzero# #zenlesszonezero# #PixAI# #ゼンゼロ#
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Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:
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