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Yeah!!! 上电视啦!!! 感兴趣的朋友一定要听呀! https://t.co/Qe24i37AOD https://t.co/ghujwz4cj0
韩国黑色电影《无可奈何》,有点当年《寄生虫》的感觉了,好看啊! 中年失业大叔为了找工作,把其他竞争对手一一干掉。 人生真的是一念天堂一念地狱啊。 https://t.co/tTcBENVAFJ
妈妈你为什么带精灵的帽子? 帽子的第一性原理不是保暖吗? https://t.co/cleU30rW4e
上次被那堆愚蠢的、记错日期的东欧老乡给气着之后落了个病根儿,一生气就胃疼。哪怕稍微烦躁一下、血压升高了都会疼,反应极其灵敏,真是逼着我学会修身养性,凡事儿别生气。 花了一天时间,已经和出版社battle得差不多了,他们已经把电子书撤了,我发了我自己的,等审核通过就可以给大家发链接了,真是不容易。也证明了很多时候生气什么的情绪其实没什么用,先把事情沟通做好最重要。
Use this simple prompt to generate more poses In a 3x3 grid, show this character in different angles, keep the scene the same, random poses https://t.co/CW9g1VEXyM
🌿🍂 Capture the romance of the seasons with this healing botanical leaf art style—nature is the best artist. 🎨 🍌 nano banana pro prompt --- Prompt Template --- Creative botanical art collage depicting [Scene/Activity]. The image is constructed entirely from exquisite cut natural leaves, flower petals, plant stems, and wild berries. The silhouettes of figures and objects are formed by the intricate arrangement of these plant elements. The plant surfaces feature a slightly wet, glossy texture adorned with crystal-clear morning dew droplets. Rich, vibrant colors with distinct visual layering. The background is a soft, natural bokeh that harmonizes with the mood of the scene. Macro photography style, hyper-realistic organic textures, 8K resolution, masterpiece. --- Scene:a girl riding a bicycle through a park
最近推友推荐的这两个 App,都是 AI 让小应用变得非常便捷的案例 比大公司产品好用得多 https://t.co/m6JI6Epvok
几秒钟内将你的 localhost 分享给任何人。 通过一个在全球可访问的 HTTPS URL! $ brew install cloudflared $ cloudflared tunnel --url <你的本地域名> 这是 ngrok 的一种替代方案,无需注册、完全免费。 https://t.co/I0XqN47TD3
This JSON lets you turn any image into a stylish, retro magazine cover poster with one click. Just replace {{TITLE_TEXT}} with the title you want, and the big headline on the poster will update automatically. { "poster_structure": { "format": { "aspect_ratio": "2:3", "orientation": "vertical", "safe_margins": "medium", "grid": "classic magazine cover grid with generous top header area and bottom utility area" }, "layers": { "background_layer": { "type": "single-photo-or-flat-color", "treatment": \[ "subtle paper grain", "light halftone/print texture", "slightly faded print tones" \] }, "title_layer": { "type": "oversized headline behind subject", "text": "GOOD NIGHT", "placement": "upper third, spanning wide", "z_index": "behind_subject", "style": { "case": "title case or sentence case (match exactly)", "font_feel": "bold retro editorial display", "color_rule": "match dominant background color for embedded look", "effects": \["no outline", "no glow", "clean fill"\] } }, "subject_layer": { "type": "foreground cutout", "masking": "clean edge cutout, natural silhouette", "z_index": "top", "rules": \[ "subject must overlap and partially cover the title text", "no extra cutout artifacts", "no duplicated subject" \] }, "frame_layer": { "type": "border + inner line + ornaments", "outer_border": { "material": "off-white textured paper", "shape": "rounded corners", "rule": "NO outer black frame" }, "inner_frame_line": { "style": "thin line near edges", "color": "subtle warm gray/beige", "opacity": "low" }, "corner_ornaments": { "style": "small classic corner marks", "quantity": "4", "subtlety": "minimal" } }, "header_microtext_layer": { "type": "small header metadata text", "placement": "top margin area", "alignment": "left to center, magazine-like", "text_blocks": \[ { "text": "GOOD NIGHT", "role": "micro_title" }, { "text": "Designed by @underwoodxie96", "role": "credit_line" }, { "text": "Date 16-12-2025", "role": "date_line" }, { "text": "Day Thirty {two}", "role": "day_counter" }, { "text": "2/5", "role": "issue_fraction" } \], "style": { "font_feel": "clean editorial sans or simple serif", "size": "very small", "tracking": "slightly increased", "color": "muted dark gray" } }, "barcode_layer": { "type": "barcode graphic", "placement": "bottom right", "size": "small to medium", "style": "clean black/gray on light background", "rule": "must remain visible" } }, "print_finish": { "global_texture": \["paper grain", "subtle halftone"\], "contrast": "medium-low", "saturation": "slightly faded", "clarity": "high but not HDR" } }, "constraints": { "must_keep": \[ "off-white textured border with rounded corners (NO outer black frame)", "thin inner frame line near the edges", "small corner ornaments", "oversized title text placed behind the subject and partially covered by the subject cutout", "paper/halftone print texture across the whole design", "barcode at bottom right", "header microtext blocks present at the top" \], "text_lock": \[ "Designed by @underwoodxie96", "Date 16-12-2025", "Day Thirty {two}", "2/5", "GOOD NIGHT" \], "avoid": \[ "outer black border/frame", "extra random text", "misspelled or garbled typography", "neon colors", "heavy HDR", "watermarks or extra logos" \] }, "negative_prompt": [ "watermark", "extra logos", "misspelled text", "garbled typography", "random letters", "outer black frame", "overprocessed", "heavy HDR", "neon colors", "low resolution" ] }
每当我抛出一个观点 评论区都会有人问 那该咋变现赚钱? 信息差赚钱方法不要太多 赚国内的就是卖课卖社群 搞咨询公司卖咨询服务 我说一个靠信息海外赚钱的思路吧 就是做参考阅读的海外版 直接搞聚合然后做精选的深度阅读 然后用Dan koe的工作流newsletter转长推做增长 重点解决俩问题: 信息过载的精选-有限时间,不错过重要内容 深度信息的洞察压缩-3小时访谈精选出核心观点(甚至带着时间戳) 就围绕一个人群干垂直 肯定可以变现
现在有一种流派玩法 前期靠运营n8n验证 验证成功后工程师vibe coding+hitp去反转n8n workflow成代码产品化 不过n8n的workflow有很都不太能直接投产使用 比如就拿youtube视频转中文来举例吧 这种东西卡点很多 ytb视频下载就是一个非常大的卡点 之前还可以无限下 现在一个cookie只能下一次 然后时间戳校对也是个卡点 这些卡点都拼在一起后,多数情况下光靠工作流想做到比较好的效果还是非常困难的 这种需求还是建议找靠谱的开源项目,比如videolingo 简单总结一下我对n8n的看法: 1、产品/运营专家能用来验证流程,想量产还是要代码化,如果会vibecoding,直接写很多时候比n8n快 2、个体户/机构可以用来唬smb,没啥使用规模,业务几近定制,n8n切这里是有很多市场空间的,一方面可以自己外包赚钱,另外一方面可以靠这个验证需求,后面再想办法产品化 3、做培训的/搞自媒体的可以用来搭玩具,做一些看起来有用的情绪价值很大的东西,很容易传播 4、不要对n8n抱有太高预期,也不应该太低估它,很适合个体户/小业务做运营验证和初步自动化,也适合搞社群卖课,不适合产品化规模化,上体量追求性能还是需要换换

Yangyi
Lenny采访了 OpenAI Codex 产品负责人 Alexander Embiricos 我总结了几个信息观点: 借助AI缩短构建时间 - Sora安卓版是一个仅有 2-3 名工程师 的团队,在 18 天 内从零构建的应用,并在 28 天 后向公众发布 - Atlas 团队利用 Codex 完成了繁重的工作,将原本需要多名工程师 3 周 完成的任务缩减为单人 1 周 完成 OpenAI的自我套壳 - Codex靠模型在达到上下文限制时压缩,才使 Codex 能够在一个任务上连续运行 24 小时以上 模型 、工具/接口,上下文管理,这些共同造就了Agent的能力 新时代对工程师的新要求 - 对AI代码的审查能力,人类的提示词输入与验证已经匹配不上AI的生产效率了 - 关注 系统工程 和 架构 ,现在不需要你手动写算法,但你要知道为什么选择这个算法而不是另外那个 - 初级工程师的差异:有学习能力,善于利用AI的工程师可以顶一个高级工程师,但如果没有,AI会顶替他 AGI - AGI受限于Agent的自我学习能力 - 当前的Agent都是被动的,让Agent主动,会塑造更多机会,急剧加速迭代循环 - AGI的能力受限于人类的语言输入和多任务处理速度 ------ 几个共识: 1、元学习与元构建 2、Agents的自我学习 3、Agents主动发起对话 4、模型时代的工程化重要性 https://t.co/kTE3ebFuFl
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