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Today — Fri, Aug 28

Appshots give ChatGPT Work and Codex all the context from the app in front of you so they can understand what you’re looking at and act on it. Working on something? Just ⌘ 🤘⌘ it
@OpenAIDevs33m ago♥8 · 724 views
⌘ ⌘ Use appshots to: • Give me TL;DR on this Slack thread • Check out this form and fill it out for me • Use this API reference to add a feature to my app • Pull out the themes in these replies on X …
@OpenAIDevs33m ago♥27 · 3c · 3.1K views
RT @dair_ai: Banger paper from Google. If you maintain a skill library for your agents, you might want to check this out. (bookmark it)…
@omarsar035m ago375 views
RT @omarsar0: Impressive new paper from Google DeepMind. (bookmark it) It takes Co-Scientist out of simulation and into real-world experi…
@omarsar043m ago
The debate about reading code is so infuriating. Two things can be true at the same time: You aren't doing enough automated review You should still do human review
@mattpocockuk51m ago♥7 · 846 views
GLM-5.3 is now open-weight! You can download it from HuggingFace or run it using Atomic Agent. No matter what Big AI says; the future is open weights!
@svpino1h ago♥7 · 4c · 2.3K views
RT @HLPClips: How to tell if you're overtraining (and what to do about it): – Watch for elevated resting heart rate 3-5+ consecutive days…
@hubermanlab1h ago3.6K views
RT @nickbaumann_: Something I've found myself and others doing at OpenAI is having Codex DJ Spotify or Apple Music It just runs on a heart…
@OpenAIDevs2h ago4.1K views
GLM 5.3 is now available in Perplexity Computer. Built for long-context, multimodal agent workloads, it beat GLM 5.2 on WANDR, our benchmark for large-scale, evidence-backed research.
@perplexity_ai2h ago♥92 · 12c · 9.2K views
Rosalind Workbench connects scientific questions to specialized models, tools, and reviewable outputs in one workflow, from protein structure and sequence analysis to sequencing pipelines.
@OpenAIDevs3h ago♥238 · 25c · 18K views
Get that sunlight folks.
@hubermanlab4h ago♥734 · 26c · 72K views
RT @EricTopol: From a randomized trial, the advantage of a ketogenic diet vs Mediterranean or low fat plant diet for people with pre diabet…
@hubermanlab4h ago6.1K views
Claude can reliably fix measurable misalignment. But subtle or rare failures may have no benchmark at all—so everything hinges on measuring the right things. We're releasing our automated alignment r…
@AnthropicAI4h ago♥120 · 5c · 20K views
Could a model one day align its stronger successors? As a first test, we had Sonnet 5 post-train an early checkpoint of Opus 4.8, a more capable model. It reached safety scores approaching those of p…
@AnthropicAI4h ago♥155 · 5c · 24K views
Across 10 alignment failures, Claude reliably improved safety scores without degrading capabilities. Its best methods also generalized to benchmarks it hadn’t optimized on, to the Petri behavioral au…
@AnthropicAI4h ago♥145 · 4c · 11K views
Claude “hill-climbed” safety benchmarks for common misalignments like deception or sycophancy, with one constraint: it had to preserve general capabilities. We then tested its best methods on held-ou…
@AnthropicAI4h ago♥180 · 5c · 14K views
New Fellows Research: Can Claude autonomously align other AIs? We gave Claude 48 hours and 1 GPU to improve the alignment of small models. It researched and proposed methods, then trained and tested …
@AnthropicAI4h ago♥1.7K · 171c · 162K views
Ship a new eve agent in one minute. From https://t.co/i9Vv3noQtm: 1. Add a prompt 2. Pick models & MCP connections 3. Deploy Your agent is in production, ready to chat, backed by a Git repo you o…
@vercel5h ago♥399 · 20c · 53K views
Ora runs agents on live websites and traces every step. When a signup, integration, or payment stalls, teams see which step, what the agent tried, and what to change. The whole platform is built on V…
@vercel6h ago♥51 · 12c · 9.7K views
RT @jerryjliu0: PDF parsing is fun because there's an infinite variety of enteprise documents 📑. For each document category, there's a long…
@llama_index6h ago366 views
Static embeddings offer unmatched throughput, but they also suffer from accuracy loss compared to traditional embedding models. Can we make them better for retrieval? We tried several things: ✅️ raw …
@llama_index6h ago♥20 · 3c · 6.6K views
Paper: https://t.co/bEIoE12V1H Github Repo:
@Sumanth_0776h ago♥3 · 1c · 262 views
Your AI agent doesn’t need a better model. It needs a better harness! JIT-Agent is a compact meta-agent that writes your agent harness on the fly. Most agent systems use a fixed scaffold for every ta…
@Sumanth_0776h ago♥66 · 15c · 5.2K views
The DeepSeek harness is engineering at its finest. 202K stars on GitHub. Damn! Clearly, they built this harness with future AI needs and capabilities in mind. Everything is a plugin and customizable,…
@omarsar06h ago♥82 · 10c · 7.2K views
Skills 构建完整指南（33页）这是 26 年看过最完整全面、质量最高的 Skills 构建指南，虽然是 26.01 发布的，应该还有朋友没看过。强烈建议保存备用，时常拿出来系统学习一遍，会对 Skills 的构建、验证和使用过程有更深更系统的理解。 The Complete Guide to Building Skills for Claude
@shao__meng7h ago♥114 · 13c · 5.6K views
用 AI 模型生成视频，人物走位和镜头运动全靠提示词硬描述，想要一个低机位环绕镜头，写半天词出来还是不对。 CozyClay 换了个做法，在浏览器里搭一个 3D 预演场景，摆好角色、画好运镜轨道，再把这些镜头喂给 AI 视频模型。搭场景像玩黏土，拖积木块搭场地、给角色摆姿势，相机操作沿用 3D 编辑器那套习惯，选中按 F 直接对准。 GitHub：
@GitHub_Daily8h ago♥4 · 1c · 1.8K views
用 AI 太痛苦了等待，修改，烦躁，重复时间一分一秒消失完全无法进入心流要不是为了工作赚钱谁会用这种破玩意儿听说 AGI 要到了能解决使用过程的体验问题吗？
@oran_ge8h ago♥63 · 30c · 12K views
A great paper from Google on maintaining agent skills through persistent knowledge.
@omarsar08h ago♥50 · 8c · 11K views
Impressive new paper from Google DeepMind. (bookmark it) It takes Co-Scientist out of simulation and into real-world experiments. A summary of the results: In computer science, it found an inference-…
@omarsar08h ago♥192 · 13c · 20K views
Grok Bot 设计之旅来自 Grok Bot Design Lead @johnbai 是 Cursor 纽约办公室的第一位设计师，John 在这期访谈中首次公开其幕后设计过程。 https://t.co/m6DscPmo9c # Grok Bot 产品起源：为什么 Cursor 要"另起炉灶"？ Cursor 桌面端对非技术用户门槛过高，工程化概念让设计师等群体难以上手。John 入职后…
@shao__meng8h ago1c · 1K views
鱼总牛逼
@sitinme8h ago♥3 · 1c · 1.7K views
This is why I continue to be excited about the progress around tiny open models. I have experimented with this a lot over the past year, and for most tasks you really don't need the most capable mode…
@omarsar09h ago♥4 · 1c · 1.5K views
The more I embrace open and cheaper models, the more automation I can afford. Frontier models for orchestration and coordination. Open and cheaper models for execution. Token usage rapidly increasing…
@omarsar09h ago♥37 · 13c · 5.7K views
HuggingFace Microducks「小鸭子」发布 24 小时，预售销售额 260万美元！这个小鸭子实在太萌了，399美元，可惜还不支持中国预定，亚洲只支持日本和韩国。
@shao__meng9h ago♥5 · 1K views
Hy4 preview 在 WorkBuddy 里也上线了 8.28-9.10 期间限时免费，不过。。免费用户这个排队队伍，是不是过于庞大了。。2615 位用户排队，这跟不可用没啥区别了 😂
@shao__meng10h ago1c · 797 views
在代码里发 HTML 邮件是个老大难，网页上调得好好的样式，到 Outlook 里表格散架、按钮错位，各家邮箱兼容性还不一样。 emailmd 把这活简化成写 Markdown，渲染出各家邮箱都认的 HTML，Gmail、Outlook、苹果邮件这些客户端都能正常显示。图表是亮点，柱状图、进度条、KPI 卡片、评分星星，6 种数据元素各写一个列表就能生成。底层是拿表格和文字符号画的，邮箱屏蔽…
@GitHub_Daily11h ago♥9 · 1c · 2.5K views
OpenMontage 把整条 AI 视频生产线交给编码 Agent，用大白话描述想要什么，直接渲染成片出来。从选题调研、写脚本、生成素材到剪辑合成一条线跑完，动笔前还会先做 15 到 25 次网络搜索，内容有真实依据不瞎编。 GitHub：https://t.co/8a4w0bayZD README 里那条 60 秒皮克斯风格的香蕉短片挺震撼，配音、配乐、字幕全齐，总成本才 1.33 美元。…
@GitHub_Daily12h ago♥7 · 5c · 2.6K views
SpaceXAI 团队给 Grok Bot 发布了五篇官方使用指南 Grok Bot Guides - 覆盖元模式、工程、设计、GTM 和产品方向 https://t.co/6AGpkhNTpv # 指南中提炼出 Grok Bot 的六个核心构件 1. Job description：每个 bot 的系统提示词读起来像一份招聘 JD：明确它"拥有什么职责"以及"拒绝做什么"。 2. Connec…
@shao__meng12h ago♥24 · 14c · 4.8K views
看了下 VoltAgent/awesome-agent-skills，这个项目不像是“又一个 Agent 工具”，更像是一张 Agent Skills 能力地图。它自己并不直接提供 Agent，也不是 MCP 服务，更不是把上千个 Skill 一键装进电脑的插件市场。它做的事情很简单：把 Anthropic、Vercel、Stripe、Cloudflare、Microsoft、NVIDIA、…
@sitinme13h ago♥2 · 3c · 862 views
🔗：
@sitinme13h ago188 views
腾讯也加速卷上来了！ Hy4 preview 开源发布（注意：还只是 preview，参考 Hy3， Hy4 正式版应该会更强一截！） https://t.co/KHsC1zRWZc # 模型参数信息对比 Hy4 Preview | Hy3 770B / A49B | 295B / A21B 1M | 256K # Hy4 Preview 以真实工作产出为中心数据构建方式：与腾讯内部的软件工程…
@shao__meng14h ago♥1 · 2c · 2.2K views
Agent = Model + Harness：生产级 AI 智能体工程六层实战手册结合 Mitchell Hashimoto、OpenAI Codex 团队、Martin Fowler、LangChain、Cursor 等公开工程资料编撰。 https://t.co/etzeA1qN2S # Agent = Model + Harness 模型只提供推理能力，决定 Agent 能否从演示走向…
@shao__meng14h ago♥94 · 13c · 7K views
https://t.co/KLr1msLVSO https://t.co/47VcMl482B
@shao__meng16h ago1.2K views
用 AI 写出来的文字，看多了扫一眼就能认出来，靠的是几十种反复出现的固定模式。 avoid-ai-writing 可以试下这个写作 Skill，把 AI 腔拆成 62 类模式，逐条给出改法。配了一张 112 个词的替换表，分三档处理，delve 这类高频 AI 词直接标记，普通词要扎堆出现才报。改完还会自己再读一遍，专抓第一轮编辑后残留的模式，比如换汤不换药的过渡句。 GitHub：htt…
@GitHub_Daily17h ago♥43 · 29c · 5.4K views

Yesterday — Thu, Aug 27

This is not just another coding agent. In a comparison with Claude Code + Opus 4.8, PRAXIST achieved: • 49 gold medals across 75 tasks, vs. 35 for Claude Code • ~$3K in token cost vs. ~$38K for Claud…
@svpino18h ago♥202 · 21c · 40K views
在超过几十种的文档格式中，Markdown 目前还是对 Agent 最友好的格式，应该没有之一。为了最大化企业和个人知识库的价值，让 Agent 能懂你的企业和你自己，即使有 WorkBuddy <-> 企微、千问办公 <-> 钉钉、豆包工作 <-> 飞书这样的天然生态打通优势，在企业网盘、硬盘、知识库里吃灰的文档，还是要转为 Markdown 才能更好的被 Agents 用起来。分享几个…
@shao__meng19h ago♥3 · 5c · 2.7K views
Cohere 官方发布 Parse 5 > 2.3B 参数 > 8192 上下文窗口 > 支持输入 PDF、PPT、JPEG > 支持英、法、德、意、西、葡、日、韩、阿拉伯语 Parse 5 是一个专用文档解析视觉语言模型（VLM），核心任务是把 PDF、PPT、图片等非结构化企业文档，一次性转换成干净的、机器可读的 Markdown 结构化数据。体验地址
@shao__meng19h ago♥1 · 1c · 1.3K views
详细内容可以看我这篇👉
@sitinme19h ago213 views
Codex 有个命令我觉得挺实用：codex queue。以前 Codex 正在跑一个长任务时，突然想起“顺便再改个日志格式”“跑完再补个测试”，基本只能两种选择：要么打断它，要么等它跑完。最麻烦的是，等着等着自己可能就把这件事忘了。现在可以直接： codex queue --thread <会话> --message "新的指令" 它不会打断 Codex 当前正在做的事情，而是把新需求先排…
@sitinme19h ago♥5 · 4c · 1.3K views
Vercel 开源为 Agent 设计的极简 WebGPU 库：vgpu vgpu 是一套小型、可组合的 TypeScript API，同一份代码运行于浏览器、无头 Node.js 与确定性 mock（测试/CI），并支持把 .wgsl 着色器写成可复用模块。
@shao__meng19h ago♥101 · 19c · 19K views
81.5K 🌟 Anti-Slop 前端设计品味 Skills Taste Skill - @LexnLin https://t.co/73s9JPcQvp # 13 个 Skill 分两类：代码输出实现、图像生成 1. 代码输出实现类 · taste-skill（默认，v2 实验版）：通用技能，约 1200 行 · taste-skill-v1：旧版保留，供依赖精确行为的用户钉住 · gpt…
@shao__meng20h ago♥89 · 16c · 8.2K views
爱本来就是一种人类的幻象当你去问AI的时候爱就已经不存在了
@oran_ge20h ago♥28 · 34c · 7.5K views
Al圈子太让我失望了，都在研究孙割用了什么提示词和skil，这篇文章是Claude哪个模型写的，孙割为什么用Claude不用ChatGPT。吃瓜不好么…… by 陈言 @Linkc
@oran_ge20h ago♥49 · 73c · 51K views
https://t.co/IuzezXX5jX
@oran_ge20h ago♥278 · 13c · 124K views
《AI Agents - The Definitive Guide》这本关于 Agent 开发指南的开源书籍，值得一看。作者把配套代码整个开源了，12 章内容对应 35 个 notebook，按章节分好目录。从思维链、思维树、ReAct 讲到多 Agent 分工协作，Agent 记忆、评测、成本核算这些生产阶段的主题也各有实操代码。 GitHub：
@GitHub_Daily21h ago♥339 · 48c · 20K views
RT @github: What's it like to be a maintainer of @OpenClaw, the fastest growing project in GitHub history? 🦞 You lose some sleep, but @ste…
@OpenAIDevs1d ago6.9K views
Grok Bot is a bigger deal than it seems. It's really changed how I work with agents. The biggest change: I don't overthink anymore. The simplified interface gives me confidence I didn't have with reg…
@omarsar01d ago♥97 · 17c · 12K views
Learn more:
@cursor_ai1d ago♥75 · 2c · 19K views
You can now create new web apps with Cursor, store the code with Origin, and deploy to Vercel.
@cursor_ai1d ago♥3.4K · 175c · 584K views
RT @victornunez: a lot of the stuff you want @ChatGPT to do lives behind a login. and so we added sign-in to ChatGPT Work’s cloud browser.…
@OpenAIDevs1d ago7.2K views
We have a limited window to strengthen cyber defenses, and together with organizations including @AnthropicAI, @awscloud, @Google, @Microsoft, and @Oracle, we're calling for a global effort to give d…
@OpenAI1d ago♥13K · 716c · 3M views
And Pi was the worst example to use. If you build with Pi, you know exactly that the way it's built encourages builders to make some decisions around the harness in the form of plugins and the like. …
@omarsar01d ago♥8 · 2.2K views
RT @MasudHusain: Well this was a fun, wide-ranging 2hr conversation covering apathy, motivation, addiction, attention and even Alzheimer's…
@hubermanlab1d ago8.7K views
When you see a competitor fall behind because of something you said or did it reliably allows you to access more motivation & output w/less (perceived) effort. It’s mostly energy warfare of words…
@hubermanlab1d ago♥196 · 5c · 57K views
One command to prevent this using my skill set: echo "Tautological tests considered harmful." >> CODING_STANDARDS.md From then on, /code-review will pick this up
@mattpocockuk1d ago♥1.9K · 48c · 202K views
This is as bad as saying there is no alpha in customizing your own models. I don't think people realize how much harnesses and models go hand in hand. And thus the rest of the intelligence stack. Not…
@omarsar01d ago♥47 · 12c · 11K views
this is a critically important moment for cyber defense with AI; there is not much time to act. we are happy if you want to work with us or any of our competitors or partners, but please take this mo…
@sama1d ago♥16K · 2.1Kc · 2.7M views
RT @daniellezaghian: My first meeting of the day is with a tiny, highly opinionated stakeholder. I used @ChatGPT Work to turn my one-year-…
@OpenAIDevs1d ago7.1K views
If you maintain a hand-built agent harness, this one is worth your time. (bookmark it) I feel like everyone is sleeping on the idea of dynamically generating agent harnesses on the fly. As you aim to…
@omarsar01d ago♥410 · 29c · 23K views
The huge advantage of having low activation energy. The MIT folks will like this one… and I can say the same holds for Stanford. Great to talk about great experiments, far better to just do them. Imm…
@hubermanlab1d ago♥410 · 19c · 73K views
Another good paper. Interesting finding on the benefits of the agent harness.
@omarsar01d ago♥43 · 6c · 10K views
Full discussion:
@hubermanlab1d ago♥19 · 1c · 16K views
RT @HLPClips: How to actually quit an addiction: - Map your use: when, how much, what triggers it - Find places you never use, build on wh…
@hubermanlab1d ago8.7K views
Hyper-motivation & addiction = “close” states & opposite apathy. All are governed by extremes of dopamine reinforcement pathways. Understand these commonalities & differences & a lot …
@hubermanlab1d ago♥423 · 14c · 69K views
RT @hubermanlab: The new Huberman Lab episode is out: How to Improve Motivation & Overcome Procrastination | Dr. Masud Husain (@MasudHusain…
@hubermanlab1d ago
Recommend read. Search APIs can look different while returning the same wrong results. This is a problem. Keenable’s NEEDLE benchmark found 70–90% overlap in mistakes across Brave, You, and Parallel.…
@omarsar01d ago♥58 · 9c · 9.9K views
Watch the story of how the Model Hardware Standard began as part of our collaboration with @hhmi_science
@AnthropicAI1d ago♥808 · 15c · 163K views
We’re inviting stakeholders across science, robotics, electronics, and manufacturing to join the research preview and help shape the standard. We look forward to moving MHS forward with our industry …
@AnthropicAI1d ago♥275 · 9c · 55K views
MHS currently best covers lab and manufacturing equipment. Many developers are already using Claude Code to operate hardware like boards and cameras; our research preview will help us extend MHS to t…
@AnthropicAI1d ago♥222 · 4c · 28K views
There’s more to learn before we open source MHS. LLMs still lack physical intuition, having learned about the physical world from text and images. The research preview will let us build more safety e…
@AnthropicAI1d ago♥254 · 6c · 34K views
In early testing, AI agents used MHS to: Run a drug-discovery experiment with real-time error handling at Genentech Compress an imaging experiment from weeks to a day at HHMI Janelia Research Campus …
@AnthropicAI1d ago♥426 · 9c · 46K views
Connecting AI to hardware requires days or weeks of bespoke integration, with no standard way for agents to operate equipment safely. MHS cuts integration to hours or minutes, provides an interface t…
@AnthropicAI1d ago♥596 · 30c · 110K views
Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanc…
@AnthropicAI1d ago♥9.7K · 427c · 2.5M views
RT @Altimor: Still blows my mind how much of “work” is just circulating information. How much faster would teams move if everyone knew ever…
@omarsar01d ago1.6K views
RT @gdb: An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, AWS, Google, Microsoft,…
@OpenAI1d ago42K views
英伟达宣布以129亿美金收购Hugging Face 😘
@xiaohu1d ago♥20 · 41c · 9.6K views
Most extraction tools treat spreadsheets like PDFs. They flatten the file into text or markdown, then ask a model to infer the original structure. But spreadsheets depend on structure. Headers, formu…
@llama_index1d ago♥56 · 2c · 13K views
Glean Tau:
@Sumanth_0771d ago♥6 · 264 views
Stop AI agents rebuilding context from scratch! The information an agent needs is already spread across documents, conversations, connected apps, company systems, and local files. The problem is that…
@Sumanth_0771d ago♥46 · 12c · 5.9K views
Important read if you build with agent skills. Shared skill libraries are treated as a safe way for coding agents to reuse each other's work. New research shows they propagate malware. EvoMal plants …
@omarsar01d ago♥84 · 17c · 9.6K views
We built https://t.co/ESOyv3KDeM to ship shaders on https://t.co/pLuAOUwBOE. Now it's open source. ▪︎ Minimal agent-first WebGPU library ▪︎ Run in the browser or headless Node.js ▪︎ Render in CPU san…
@vercel1d ago♥4.4K · 136c · 770K views
What is MCP? In all seriousness, agent coordination and communication are unsolved but are necessary for a world moving more into proactive agents. I've been sharing lots of papers about this topic, …
@omarsar01d ago♥32 · 13c · 10K views
纪念草间弥生的 Skill 把你的照片转成波普圆点风格「一颗圆点，无限的爱」
@oran_ge1d ago♥54 · 17c · 6.5K views
New Huberman Lab Essentials episode out now: 30 minutes, key takeaways only. @ChrisPalmerMD
@hubermanlab1d ago♥170 · 7c · 60K views
Kubernetes meets LLM inference. Google, NVIDIA, IBM, and Red Hat are all backing the same open-source project to make it work. the problem is that LLM inference does not scale the way normal web serv…
@akshay_pachaar1d ago♥808 · 24c · 81K views
简历投出去几十份没一个回音，是内容不行还是过不了招聘系统的机器筛选，自己根本判断不了。 ResumeSkills 把求职这摊事拆成了 20 个 Claude Code Skill，从改简历到谈薪资都有对应的一个。机器筛选兼容性检查、把干过的事改写成带数字的成果句、拿职位描述算匹配度找差距，都是单独的 Skill。 GitHub：https://t.co/c4di9YanJ7 还有几个挺实用的：…
@GitHub_Daily1d ago♥102 · 27c · 7.4K views
给设计工程师们的 Skills 精选集合站作者：@Ibelick 地址：https://t.co/6fKYqGj94j 项目：
@shao__meng1d ago♥27 · 3c · 2.9K views
今天知道的冷知识出家当道长也要求35岁以下...
@oran_ge1d ago♥8 · 23c · 7.3K views
A company I consult for just hired 3 additional product managers because their current staff can't keep up with the amount of software their team is building. They are also planning for additional hi…
@svpino1d ago♥195 · 36c · 18K views
Codex 里的 Plugin Directory 变得越来越丰富，里面不只有外部应用，还包括 Skills、Connectors、MCP servers、浏览器扩展等。简单理解，Plugin 更像一个“安装包”，里面可以装一种或多种能力。所以不能只看插件名字，还要重点查看它包含哪些内容，以及需要什么权限。 Skill 主要负责教 Codex“怎么做事”。它可以规定工作流程、处理步骤、输出格…
@sitinme1d ago♥2 · 1c · 1K views
这个机器人设计很可爱跟国内的比赛格斗跳舞机器人画风完全不同
@oran_ge1d ago♥14 · 13c · 9.5K views
对抗 AI 设计 Slop：来自前 Figma 工程师的七条方法论 1. 始终着眼整体设计过程本质上是三步循环（源自 Christopher Alexander「形式综合论」）： 1. 列出所有设计约束； 2. 构思满足约束的多种方案； 3. 若发现约束需增删，回到第一步重新整体推演。关键警告：最常见的错误是跳过第 3 步，陷入"打地鼠式设计"——用户一反馈困惑就立即局部修补。AI 加剧了这…
@shao__meng1d ago♥130 · 20c · 15K views
Skill routers like /ask-matt are unreasonably useful More teams should build their own! Amazing for training devs to use your company's skills
@mattpocockuk1d ago♥631 · 35c · 77K views