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VISUALIZATION🚨: This is what happened in your brain when you read.
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A visualization of every Claude effort level, made with Opus 5.5 and Sonnet 5.5. @claudeai
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I’m honestly shocked with Opus 5.5 on how easy it is to just copy people’s work and output anything, feels distopian for some things. From this tweet, I just cloned the repository and asked this: “can you create a new project with the title Evangelion that uses the same premise, but uses a song [Name of Song] from my desktop? Please all the interface needs to match this Google Search with Evangelion UI for the reactivity: [Google Search]. Add 10-15 different visualizations”. No technical instructions at all and just asking based on a Google Search, not even copying the images properly or “directing the AI” based on the previous tweet. The output after 15 minutes is great. That just makes me skeptical that engineers won’t be just replaced by creatives in many fields of web development.
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4️⃣ Use interactive visualizations for visual learning With interactive visualizations, Gemini can generate functional 3D simulations to help you better understand the topic you’re studying. For example, ask Gemini about a topic that could be explained visually, like “show me how DNA works in 3D,” and you’ll be able to interactively rotate and zoom into a 3D DNA structure.
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(1/2) Just in time for back to school: the power of agentic coding has landed in Search. Anyone can now create custom tools and simulations to visualize different topics. One cool example: I asked AI Mode “make an interactive 3D fractal Mandelbulb visual I can zoom into” and it coded and rendered this visualization, right in Search & on the fly. Available globally in English (free of charge). Try it by asking AI Mode to create a simulation for whatever’s on your mind. Plus, we’ve started to roll out these interactive visuals in AI Overviews. lmk what you create!
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Just aced my first data visualization quiz Spent 2 nights practicing R ggplot2 plots u0026 finally got the bar chart to show exactly what I wanted! Small win but feels huge ,
推特必装的 10 个 Skills 推荐 1、last30days 把过去 30 天里 X、Reddit、Hacker News、YouTube 真正在讨论的东西抓回来,还会参考真实互动量排序。找热点、挖选题特别省事。 2、xint 一个 X 情报台:搜推文、查账号、拆互动、看情绪。不是凭感觉教你运营,而是直接读 X 上的数据。 3、customer-research 把评论、反馈和用户原话,整理成受众真正关心的痛点、需求和反对意见。以后找选题,不用再靠自己脑补。 4、social-content 从内容支柱、选题、钩子,到改成 X 版本、安排内容日历,基本等于给账号配了一个内容总编。 5、copy-editing 专门负责改稿,不会一上来把整条推文重写成 AI 味。砍废话、理顺表达,同时尽量保住你原来的判断和语气。 6、Firecrawl 把官网、新闻原文、GitHub 和产品文档抓干净。写热点前先让它查一遍,少拿二手消息当事实。 7、twitter-algorithm-optimizer 从受众、主题、互动信号等角度检查推文为什么可能没人看。里面部分算法资料比较旧,适合当发帖前检查表,别当最新算法内幕。 8、chart-visualization 自动判断数据适合做条形图、折线图还是对比图,再生成可视化。数据型推文终于不用自己慢慢搓图。 9、x-twitter 直接连接 X API,搜索、书签、趋势、账号分析和发帖都能管。权限比较大,第一次装建议先只开读取权限。 10、Postiz Agent 负责上传图片、创建单条推文或 Thread、保存草稿和定时发布。需要 Postiz 账号或自己部署,正式发布前最好保留人工确认。
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Aurora 1.5 scales open forecasting; Flint redefines visualization; FlowDAgger accelerates adaptation. Plus: AI agents crack Rowhammer defenses and memory reshapes conversational AI.
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🚀 Excited to introduce BrainPilot — a human-in-the-loop 1-1-N multi-agent framework designed to accelerate brain science research. 🧠 BrainPilot integrates: • 72 expert skills spanning 7 major neuroscience domains • A curated knowledge base of 7,200+ papers • Automatic review & verification • Trace visualization for transparent, reproducible scientific workflows Our system achieves performance comparable to state-of-the-art agentic frameworks on both Agents' Last Exam and our newly proposed BrainPilotBench. Everything is open source! We'd love for you to ⭐ star the repos, join the community, deploy BrainPilot locally, and adding new features, or proposing new benchmarks. (1/8) 🏠 Homepage: 📄 Technical Report: 🌟 BrainPilot: 📈 BrainPilotBench: #AI# #Neuroscience# #MultiAgent# #AgenticAI# #ScientificAI# #OpenSource# #BrainScience# #LLM# #ResearchAgents# #NeuroAI#
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My favorite system prompt at Grok Build: Do a) …, b) …, c) …. After finishing, please double-check the correctness and DM the visualization of sample outputs. Then walk away.
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