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🚀 Just shipped our biggest update since launch! - Stepper (13 examples) - File Upload(8 examples) - Tree View(examples) - 14 Motion animated components All paired beautifully with shadcn — free to use!

ReUI

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34,849 次观看 • 1 年前 •via X (Twitter)

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Just dropped our most awaited Filters component with 10 advance examples: - shadcn compatible & 100% free - Type-safe from end to end - Define custom filed types - Library agnostic - DB operators support - i18n & RTL ready - Data Grid + TANSTACK Table integration - nuqs integration - Async mode examples - Standard inputs + custom renderers - Size(sm,md, lg) and style(solid, outline) variants - Base UI version coming soon ... Go ahead 👇to slice and dice your data like a pro 😎

Just dropped our most awaited Filters component with 10 advance examples: - shadcn compatible & 100% free - Type-safe from end to end - Define custom filed types - Library agnostic - DB operators support - i18n & RTL ready - Data Grid + TANSTACK Table integration - nuqs integration - Async mode examples - Standard inputs + custom renderers - Size(sm,md, lg) and style(solid, outline) variants - Base UI version coming soon ... Go ahead 👇to slice and dice your data like a pro 😎

ReUI

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Copy my dashboard - If you want ✨ Done with the dashboard for Propdock - Been using Cursor + v0 for almost the whole project. All components are from shadcn 🐐 ◆ Examples on how to use server actions ✨ ◆ Charts and stuff 📈 ◆ Feel free to copy it if you want 🔥 The project is Open-source so take what you want. Rest of the weekend im going to write issues for the community 🪄 Tech Stack: Vercel NextAuth.js Prisma Postgres shadcn Neon - Serverless Postgres Resend Tailwind CSS v0 #opensource #buildinpublic #proptech

Copy my dashboard - If you want ✨ Done with the dashboard for Propdock - Been using Cursor + v0 for almost the whole project. All components are from shadcn 🐐 ◆ Examples on how to use server actions ✨ ◆ Charts and stuff 📈 ◆ Feel free to copy it if you want 🔥 The project is Open-source so take what you want. Rest of the weekend im going to write issues for the community 🪄 Tech Stack: Vercel NextAuth.js Prisma Postgres shadcn Neon - Serverless Postgres Resend Tailwind CSS v0 #opensource #buildinpublic #proptech

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MDXTS 0.16.0 was just released and it's the best version yet 🚀 The CodeBlock component was fully rewritten with minimal breaking changes and now exposes four new descendant components: - LineHighlights - LineNumbers - Tokens - Toolbar You get all of the same type-checking and quick info benefits while being able to fully override the CodeBlock component. The examples have also been updated to showcase its flexibility. Sign up for the newsletter and stay tuned for some big news this week!

MDXTS 0.16.0 was just released and it's the best version yet 🚀 The CodeBlock component was fully rewritten with minimal breaking changes and now exposes four new descendant components: - LineHighlights - LineNumbers - Tokens - Toolbar You get all of the same type-checking and quick info benefits while being able to fully override the CodeBlock component. The examples have also been updated to showcase its flexibility. Sign up for the newsletter and stay tuned for some big news this week!

Travis Arnold

45,384 次观看 • 2 年前

Today ReUI Pro goes live! 🔥 Design-forward shadcn/ui platform with MCP fluency for agents. AI made UI generation instant. It didn't make it production-ready. You still spend hours picking blocks, adjusting details, and fine-tuning the last mile. We spent six months building the agent-ready layer for shadcn/ui that closes the gap. Inside: ☑️ Free Hosted MCP with Agent Skills. ☑️ 1,019 open-source shadcn/ui components, free forever. ☑️ 17 open-source ReUI primitives(Data Grid, Filters,File Upload, Stepper and more). ☑️ 485 Pro blocks across over 50 categories. ☑️ 562 hand-crafted interactive icons in 4 styles. ☑️ Default Base UI and legacy Radix by WorkOS versions. Real credit to shadcn for the ecosystem! The registry model changed how we all build and ship UI, and ReUI stands on that foundation. Below is a thread on the 10 things we're most proud of👇

Today ReUI Pro goes live! 🔥 Design-forward shadcn/ui platform with MCP fluency for agents. AI made UI generation instant. It didn't make it production-ready. You still spend hours picking blocks, adjusting details, and fine-tuning the last mile. We spent six months building the agent-ready layer for shadcn/ui that closes the gap. Inside: ☑️ Free Hosted MCP with Agent Skills. ☑️ 1,019 open-source shadcn/ui components, free forever. ☑️ 17 open-source ReUI primitives(Data Grid, Filters,File Upload, Stepper and more). ☑️ 485 Pro blocks across over 50 categories. ☑️ 562 hand-crafted interactive icons in 4 styles. ☑️ Default Base UI and legacy Radix by WorkOS versions. Real credit to shadcn for the ecosystem! The registry model changed how we all build and ship UI, and ReUI stands on that foundation. Below is a thread on the 10 things we're most proud of👇

ReUI

37,292 次观看 • 9 天前

We often blame the government or other people for many societal issues, but real change begins with us. People watch, copy, and learn from what they see, whether it's good or bad. Sadly, even the educated and elite rarely set the right examples when it comes to civic sense. This Zero1 by Zerodha video explores how our lack of civic responsibility affects us all. It's already hit nearly 1 million views in just 8 days. Worth a watch!

We often blame the government or other people for many societal issues, but real change begins with us. People watch, copy, and learn from what they see, whether it's good or bad. Sadly, even the educated and elite rarely set the right examples when it comes to civic sense. This Zero1 by Zerodha video explores how our lack of civic responsibility affects us all. It's already hit nearly 1 million views in just 8 days. Worth a watch!

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Cooper Flagg on playing alongside D’Angelo Russell and what he’s learned from him: “He’s been an incredible influence so far of just setting the tone at a really high level. Ever since he’s come in and been around, he’s just been setting examples and just being a real role model. Just playing really hard and just playing really smart as well. He sees the game at a different level, so I think I can just learn a lot from him in the way he’s able to pick apart defenses and just use his vision to our advantage.” Russell finished with five assists in his Mavs debut, and his passing was elite.

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Noah Weber

26,737 次观看 • 9 个月前

$P-Video-Animate is now the fastest model for top-quality image-to-video motion transfer. - $0.03/s at 720p and $0.06/s at 1080p — a fraction of typical motion-transfer pricing (~$0.07–$0.35/s at 720p in our benchmarks) - 5.24 s generation time per second of output video at 720p — roughly 7× faster than typical motion-transfer alternatives in the same benchmarks - Upload one still plus a driver video to preserve motion, timing, camera movement, and scene structure, with optional source audio and clips up to ~2 minutes at 720p Ideal for UGC ads, gaming cinematics, film casting, and product demos when you already have a winning take and want a new hero still to follow it. Try it in the playground: We’re launching with 70% discounted usage for the coming two days with our launch partners. each::labs, Replicate, Runware, Scenario, WaveSpeedAI, Wiro, Tellers, Soon also on Together AI We’d love your feedback as you try it. 📚 Model docs & API examples: 📚 API quickstart: ⭐️ OSS: 🌐$

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Since using probes is a very technical subject and difficult to understand without visual examples, I decided to create a video with an exaggerated example to show the incredible results that mrdoob 's work with probes can provide. As you can see in the video, the hybrid solution of probes with SSGI blends the best of both worlds: projected lights when the objects emitting the color are in the scene, and indirect light provided by the probes when they are not. Of course, nobody is going to use red and green walls at home lol. This is just a visual example to exaggerate the use and demonstrate how the technology works from a creative point of view. I hope it helps someone 🤗. #threejs #threejsJourney #creativecoding #webgpu

Since using probes is a very technical subject and difficult to understand without visual examples, I decided to create a video with an exaggerated example to show the incredible results that mrdoob 's work with probes can provide. As you can see in the video, the hybrid solution of probes with SSGI blends the best of both worlds: projected lights when the objects emitting the color are in the scene, and indirect light provided by the probes when they are not. Of course, nobody is going to use red and green walls at home lol. This is just a visual example to exaggerate the use and demonstrate how the technology works from a creative point of view. I hope it helps someone 🤗. #threejs #threejsJourney #creativecoding #webgpu

Anderson Mancini

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🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

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SAFEFOLIO WALLET UPDATE 🚀 We’ve officially started the Play Store and Apple Store upload process for the SafeFolio Wallet app! 🎉 Inside the app, you’ll be able to mine SAFE tokens completely free — our special way of saying thank you for your support and belief in our vision. 💜 We know it’s been a long wait, but trust us, we’re building quality over quantity. The best is yet to come! ✨ Thank you for standing with us all this time — the future of DeFi with SafeFolio is just around the corner. 🌍🔑

SafeFolio Wallet

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Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images seem to animate best with Veo 3.1 from testing, but you can try with Kling 2.6 or Grok Imagine as well so have some fun! Feel free to show me your giant humans/animals. 🍌Universal Prompt: A highly detailed, photorealistic [CAMERA ANGLE, e.g., wide-angle shot, aerial shot looking down, extreme low-angle looking up] showing a colossal [DESCRIBE THE PERSON & CLOTHING] positioned in [SPECIFIC LOCATION/CITY/LANDSCAPE]. The giant is [ACTION - INTERACTING WITH THE ENVIRONMENT, e.g., sitting on a building, stepping over a bridge]. To establish the immense scale, tiny [TINY ELEMENTS: PEOPLE, CARS, OR BOATS] are visible near their [FEET/HANDS]. The lighting is [TIME OF DAY, e.g., golden hour, midday sun]. There are more visuals examples with prompts included in my 80 creative use cases document which you can view via this link completely for free. Look for use case 84.

Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images seem to animate best with Veo 3.1 from testing, but you can try with Kling 2.6 or Grok Imagine as well so have some fun! Feel free to show me your giant humans/animals. 🍌Universal Prompt: A highly detailed, photorealistic [CAMERA ANGLE, e.g., wide-angle shot, aerial shot looking down, extreme low-angle looking up] showing a colossal [DESCRIBE THE PERSON & CLOTHING] positioned in [SPECIFIC LOCATION/CITY/LANDSCAPE]. The giant is [ACTION - INTERACTING WITH THE ENVIRONMENT, e.g., sitting on a building, stepping over a bridge]. To establish the immense scale, tiny [TINY ELEMENTS: PEOPLE, CARS, OR BOATS] are visible near their [FEET/HANDS]. The lighting is [TIME OF DAY, e.g., golden hour, midday sun]. There are more visuals examples with prompts included in my 80 creative use cases document which you can view via this link completely for free. Look for use case 84.

Travis Davids

462,621 次观看 • 7 个月前

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.

JJ Englert

29,322 次观看 • 3 个月前

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Andrew Ng

170,399 次观看 • 1 年前

🕵🏻‍♀️ UPSC AIR 1 Dr. Anuj Agnihotri's Full Study Plan & Booklist for Prelims & Mains with Dr. Mrunal Patel Timestamps 0:00 Highlights 1:47 Intro: Anuj Agnihotri AIR 1 2:02 History: Prelims & Mains 2:23 TN NCERT & IGNOU Strategy 2:52 Geography: NCERT Approach 3:12 Role of Unacademy Educators 3:52 NCERT Revision Tips 4:01 Geo Mains: Disasters & Current 4:34 Env & Ecology Intro 4:43 Env Laws & National Parks 5:12 Wikipedia Search Strategy 5:33 Economy: Why Fundamentals First 5:51 Mrunal Sir’s Economy Videos 5:56 Economy CA: Indian Express 6:13 Polity: Laxmikanth for Prelims 6:22 GS2 Governance Themes 6:42 Social Issues: Clubbing Method 7:21 The Hindu vs Indian Express 7:26 5 Years of Indian Express 7:48 Why skip CA Magazines? 7:59 Science & Tech Prep 8:36 PYQ Analysis & Filtering 8:56 Core Subjects Recap 9:00 Newspaper First Strategy 9:20 Static & Current Linkages 9:32 Reading Time & Note-making 9:44 Value Addition to Notes 10:03 Avoiding CA Compilations 10:24 Ethics: Keyword Approach 10:51 Definitions & Examples 10:58 Real Life & Mythic Examples 11:07 Ethics Case Study Mindset 11:32 Essay: Templates & Conclusion 12:25 Optional Subject Choice 12:29 Medical Science Optional 13:06 Med Science Resources 13:35 Revision Challenges 14:16 Data: Med Science Toppers 14:46 AIR 1: Honest Reflection 15:23 Message to Aspirants 15:55 Mock Tests & Mindset 16:07 Closing Remarks In this exclusive session, Dr. Mrunal Patel interviews Dr. Anuj Agnihotri (AIR 1, UPSC CSE 2025). A graduate of AIIMS Jodhpur, Anuj secured 1071 marks (Written: 867, Interview: 204) in his third attempt. 👩🏻‍🏫 Mrunal’s Annual Economy Current Affairs lecture series Win26- next Free Live stream class on Wednesday

🕵🏻‍♀️ UPSC AIR 1 Dr. Anuj Agnihotri's Full Study Plan & Booklist for Prelims & Mains with Dr. Mrunal Patel Timestamps 0:00 Highlights 1:47 Intro: Anuj Agnihotri AIR 1 2:02 History: Prelims & Mains 2:23 TN NCERT & IGNOU Strategy 2:52 Geography: NCERT Approach 3:12 Role of Unacademy Educators 3:52 NCERT Revision Tips 4:01 Geo Mains: Disasters & Current 4:34 Env & Ecology Intro 4:43 Env Laws & National Parks 5:12 Wikipedia Search Strategy 5:33 Economy: Why Fundamentals First 5:51 Mrunal Sir’s Economy Videos 5:56 Economy CA: Indian Express 6:13 Polity: Laxmikanth for Prelims 6:22 GS2 Governance Themes 6:42 Social Issues: Clubbing Method 7:21 The Hindu vs Indian Express 7:26 5 Years of Indian Express 7:48 Why skip CA Magazines? 7:59 Science & Tech Prep 8:36 PYQ Analysis & Filtering 8:56 Core Subjects Recap 9:00 Newspaper First Strategy 9:20 Static & Current Linkages 9:32 Reading Time & Note-making 9:44 Value Addition to Notes 10:03 Avoiding CA Compilations 10:24 Ethics: Keyword Approach 10:51 Definitions & Examples 10:58 Real Life & Mythic Examples 11:07 Ethics Case Study Mindset 11:32 Essay: Templates & Conclusion 12:25 Optional Subject Choice 12:29 Medical Science Optional 13:06 Med Science Resources 13:35 Revision Challenges 14:16 Data: Med Science Toppers 14:46 AIR 1: Honest Reflection 15:23 Message to Aspirants 15:55 Mock Tests & Mindset 16:07 Closing Remarks In this exclusive session, Dr. Mrunal Patel interviews Dr. Anuj Agnihotri (AIR 1, UPSC CSE 2025). A graduate of AIIMS Jodhpur, Anuj secured 1071 marks (Written: 867, Interview: 204) in his third attempt. 👩🏻‍🏫 Mrunal’s Annual Economy Current Affairs lecture series Win26- next Free Live stream class on Wednesday

Dr. Mrunal Patel (Ph.D.)

45,763 次观看 • 4 个月前

WOW 🚨 The California budget has grown 40% just since Gavin Newsom became governor in 2019 “The Sacramento legislature passed a new budget that amounts to almost $352 billion. That is a staggering increase from last year, and it marks a 40% increase if you take inflation into account from when Newsom first took office in 2019” California has spent an earth shattering $13 billion dollars+ PER YEAR on illegals healthcare just since Gavin Newsom became governor and expanded healthcare to undocumented immigrants This covered roughly 2 million illegals giving them free healthcare Estimates say this could likely be between $40-70 billion dollars Here’s 5 of the worst examples of stolen money in California - $32.6 billion in California EDD unemployment fraud during the pandemic - 24+ billion spent on homelessness programs with little results and horrible tracking - $146 billion estimated lost to Medi-Cal fraud and improper payments - $50 million homelessness funding fraud scheme in Los Angeles - $23 million stolen by a South LA nonprofit executive from homeless services funds

WOW 🚨 The California budget has grown 40% just since Gavin Newsom became governor in 2019 “The Sacramento legislature passed a new budget that amounts to almost $352 billion. That is a staggering increase from last year, and it marks a 40% increase if you take inflation into account from when Newsom first took office in 2019” California has spent an earth shattering $13 billion dollars+ PER YEAR on illegals healthcare just since Gavin Newsom became governor and expanded healthcare to undocumented immigrants This covered roughly 2 million illegals giving them free healthcare Estimates say this could likely be between $40-70 billion dollars Here’s 5 of the worst examples of stolen money in California - $32.6 billion in California EDD unemployment fraud during the pandemic - 24+ billion spent on homelessness programs with little results and horrible tracking - $146 billion estimated lost to Medi-Cal fraud and improper payments - $50 million homelessness funding fraud scheme in Los Angeles - $23 million stolen by a South LA nonprofit executive from homeless services funds

Wall Street Apes

48,305 次观看 • 16 天前

WATCH: The New York Times brings on a “Christian” voice today, Democrat James “God is non-binary” Talarico… and wow, his views fall way outside of widely held Christian orthodoxy … few examples: “Buddhism and Hinduism” reveal the same truths as Christianity “Religions of love point to the same truth” “Religious symbols are like aspirin” “Paul… is pretty woke” “Bible never mentions abortion” “When we’re at our best as Christians, we are challenging religious dogmas” — Bottom line: It’s simply a backwards view of religion, especially Christianity. If you follow Christ, it’s not a bunch of made up words and symbols trying to explain some inner spiritual experience. It’s divine revelation from the God who made all things telling us how to know Him. Jesus didn’t just express his truth. He is the Truth. John 14:6 - “Jesus said to him, “I am the way, and the truth, and the life. No one comes to the Father except through me.”

WATCH: The New York Times brings on a “Christian” voice today, Democrat James “God is non-binary” Talarico… and wow, his views fall way outside of widely held Christian orthodoxy … few examples: “Buddhism and Hinduism” reveal the same truths as Christianity “Religions of love point to the same truth” “Religious symbols are like aspirin” “Paul… is pretty woke” “Bible never mentions abortion” “When we’re at our best as Christians, we are challenging religious dogmas” — Bottom line: It’s simply a backwards view of religion, especially Christianity. If you follow Christ, it’s not a bunch of made up words and symbols trying to explain some inner spiritual experience. It’s divine revelation from the God who made all things telling us how to know Him. Jesus didn’t just express his truth. He is the Truth. John 14:6 - “Jesus said to him, “I am the way, and the truth, and the life. No one comes to the Father except through me.”

Nathan Brand

52,326 次观看 • 6 个月前

Google I/O. Some thoughts: the model seems to be multimodal in, but not multimodal out. Imagen-3 and music gen models are still detached from Gemini as standalone components. Merging all modality I/O natively is the inevitable future: - enables tasks like "use a more robotic voice", "speak 2x faster", "edit this image iteratively", and "generate consistent comic strips". - does not lose information across modal boundaries, e.g. emotion and background sound. - opens up new in-context capabilities. You can teach the model to combine different senses in novel ways with few-shot examples. GPT-4o doesn't do it perfectly, but it gets the form factor correct. In words of Andrej's LLM-as-OS analogy: we need the model to natively support as many file extensions as possible. One thing Google is doing right: they are finally making serious efforts to integrate AI into the search box. I sense the agent flow: planning, real-time browsing, and multimodal input, all from the landing page. Google's strongest moat is distribution. Gemini doesn't have to be the best model to be the most used one in the world.

Google I/O. Some thoughts: the model seems to be multimodal in, but not multimodal out. Imagen-3 and music gen models are still detached from Gemini as standalone components. Merging all modality I/O natively is the inevitable future: - enables tasks like "use a more robotic voice", "speak 2x faster", "edit this image iteratively", and "generate consistent comic strips". - does not lose information across modal boundaries, e.g. emotion and background sound. - opens up new in-context capabilities. You can teach the model to combine different senses in novel ways with few-shot examples. GPT-4o doesn't do it perfectly, but it gets the form factor correct. In words of Andrej's LLM-as-OS analogy: we need the model to natively support as many file extensions as possible. One thing Google is doing right: they are finally making serious efforts to integrate AI into the search box. I sense the agent flow: planning, real-time browsing, and multimodal input, all from the landing page. Google's strongest moat is distribution. Gemini doesn't have to be the best model to be the most used one in the world.

Jim Fan

209,643 次观看 • 2 年前

Here’s one of the most fascinating child development videos I’ve ever shared. As your baby learns language, they begin by approximating the examples you set. After a period of early experimentation with sound (including cries, coos and gurgles), infants begin babbling - making speech-like sounds (which often include components of conventional speech) that are - nonetheless - not yet conventionally meaningful. This babbling phase is a precursor to the use of formal words. And it happens in all languages. Including sign language. This video shows an infant (who, by the way, is not hearing impaired) “babbling” to her deaf grandparents. As they sign to her, she responds in kind, using her hands to approximate the signed communication that they are modeling. It’s a whole serve and return conversation, just as if they were conversing verbally. If you’ll watch carefully, you’ll note distinct turn taking. And - interestingly - that with her grandparents she largely avoids vocalizations, in favor of gesture. What a treat to see this rich example of bilingual language development. This fascinating video was shared to TT by mara_mccullough.

Here’s one of the most fascinating child development videos I’ve ever shared. As your baby learns language, they begin by approximating the examples you set. After a period of early experimentation with sound (including cries, coos and gurgles), infants begin babbling - making speech-like sounds (which often include components of conventional speech) that are - nonetheless - not yet conventionally meaningful. This babbling phase is a precursor to the use of formal words. And it happens in all languages. Including sign language. This video shows an infant (who, by the way, is not hearing impaired) “babbling” to her deaf grandparents. As they sign to her, she responds in kind, using her hands to approximate the signed communication that they are modeling. It’s a whole serve and return conversation, just as if they were conversing verbally. If you’ll watch carefully, you’ll note distinct turn taking. And - interestingly - that with her grandparents she largely avoids vocalizations, in favor of gesture. What a treat to see this rich example of bilingual language development. This fascinating video was shared to TT by mara_mccullough.

Dan Wuori

2,902,232 次观看 • 2 年前

Anduril Founder Palmer Luckey Exposes the Hidden Crisis Facing the U.S. Defense Industry: “Since the end of the Cold War, you have 80% of the major weapons contracts going to just 5 companies… working on cost-plus contracts. “They make more money when things take longer. They make more money when the schedule slips. They make more money when the parts are more expensive.” “That has led to gross inefficiencies, massive centralization, duplicating work that’s been done 1,000 times before. And almost no examples of proactive investment on the part of the industry.” “I like to say that Anduril is a Defense Product Company, not a Defense Contractor.” “We use our own money to decide what to build, how to build it, when it’s done, and then we sell the product to our customers. “In many cases building things that the government didn’t believe were possible, never would’ve even been willing to try funding anyone else to build.” “Now we’re defending bases all over the world… building a lot of offensive and defensive weapons systems.” Rebuild The Arsenal. 🇺🇸

Anduril Founder Palmer Luckey Exposes the Hidden Crisis Facing the U.S. Defense Industry: “Since the end of the Cold War, you have 80% of the major weapons contracts going to just 5 companies… working on cost-plus contracts. “They make more money when things take longer. They make more money when the schedule slips. They make more money when the parts are more expensive.” “That has led to gross inefficiencies, massive centralization, duplicating work that’s been done 1,000 times before. And almost no examples of proactive investment on the part of the industry.” “I like to say that Anduril is a Defense Product Company, not a Defense Contractor.” “We use our own money to decide what to build, how to build it, when it’s done, and then we sell the product to our customers. “In many cases building things that the government didn’t believe were possible, never would’ve even been willing to try funding anyone else to build.” “Now we’re defending bases all over the world… building a lot of offensive and defensive weapons systems.” Rebuild The Arsenal. 🇺🇸

Anduril Appreciator

182,325 次观看 • 6 个月前