正在加载视频...

视频加载失败

返回首页

ITSHOVER is redefining UI design with motion-first animated icons built for modern applications. Instead of lifeless SVGs, every icon is designed to react, engage, and enhance user experience through meaningful animation. Built for React, Next.js, Tailwind CSS, and modern web stacks. Why developers are paying attention • Motion-first icon...

ry_king4252's profile picture

👑 KING NEXT 100X

40,545 subscribers

32,340 次观看 • 2 个月前 •via X (Twitter)

教育科学技术
LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!
0:53

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

86,515 次观看 • 3 个月前

CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇
0:33

CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇

Md Riyazuddin

31,199 次观看 • 1 个月前

WorkOS: The Enterprise Stack for the AI Era AI companies are just B2B SaaS with a new engine. They monetize like SaaS, sell like SaaS, and scale into the enterprise like SaaS. The difference is velocity. These new products grow so fast that the old playbook of “PLG for years, enterprise later” simply does not work anymore. PMF is no longer enough. Winning your market requires crossing the Enterprise Chasm almost immediately. Enterprise auth, provisioning, RBAC, compliance, billing, IT integrations. If you wait, someone else takes your market while you are still wiring SCIM. This is why WorkOS exists. We give developers the infrastructure they need to scale up-market on day one. Even if you have never touched WorkOS, you have already used it through products like ChatGPT, Perplexity, Cursor and many others. Today we operate 81M+ enterprise user accounts, 67M API calls per day, and 38K+ connected enterprise environments. Modern AI tools already run through WorkOS. At ERC, we unveiled six major launches expanding that foundation for the AI era: • AuthKit for ChatGPT Apps: secure OAuth + MCP so developers can connect real enterprise data to 700M+ weekly ChatGPT users. • AuthKit for Platforms: embed full enterprise identity into frameworks like Supabase and Convex for zero-friction onboarding. • Stripe Usage Sync: actual per-seat billing with no glue code. Data stays consistent and invoices are always correct. • WorkOS Pipes: the fastest and most secure way to ship integrations (Salesforce, Slack, Intercom and more). • Agent-Ready API Keys: scoped, revocable keys designed for both developers and autonomous agents. • WorkOS Studio: vibe coding for the enterprise. A collaborative AI app builder with SSO, SCIM, RBAC, audit logs, workflows and third-party connectors built-in. Internal software at the speed of a prompt. AI has already changed how software gets created. The next shift is changing what software becomes. We are still “filming the play” like early cinema: using new technology to recreate old patterns. The opportunity ahead is to invent entirely new applications that only AI-native development makes possible. WorkOS is building the enterprise infrastructure that lets teams design the next era of software itself. Enterprise-ready AI is where the real acceleration happens. Let’s build that future together.
1:10:04

WorkOS: The Enterprise Stack for the AI Era AI companies are just B2B SaaS with a new engine. They monetize like SaaS, sell like SaaS, and scale into the enterprise like SaaS. The difference is velocity. These new products grow so fast that the old playbook of “PLG for years, enterprise later” simply does not work anymore. PMF is no longer enough. Winning your market requires crossing the Enterprise Chasm almost immediately. Enterprise auth, provisioning, RBAC, compliance, billing, IT integrations. If you wait, someone else takes your market while you are still wiring SCIM. This is why WorkOS exists. We give developers the infrastructure they need to scale up-market on day one. Even if you have never touched WorkOS, you have already used it through products like ChatGPT, Perplexity, Cursor and many others. Today we operate 81M+ enterprise user accounts, 67M API calls per day, and 38K+ connected enterprise environments. Modern AI tools already run through WorkOS. At ERC, we unveiled six major launches expanding that foundation for the AI era: • AuthKit for ChatGPT Apps: secure OAuth + MCP so developers can connect real enterprise data to 700M+ weekly ChatGPT users. • AuthKit for Platforms: embed full enterprise identity into frameworks like Supabase and Convex for zero-friction onboarding. • Stripe Usage Sync: actual per-seat billing with no glue code. Data stays consistent and invoices are always correct. • WorkOS Pipes: the fastest and most secure way to ship integrations (Salesforce, Slack, Intercom and more). • Agent-Ready API Keys: scoped, revocable keys designed for both developers and autonomous agents. • WorkOS Studio: vibe coding for the enterprise. A collaborative AI app builder with SSO, SCIM, RBAC, audit logs, workflows and third-party connectors built-in. Internal software at the speed of a prompt. AI has already changed how software gets created. The next shift is changing what software becomes. We are still “filming the play” like early cinema: using new technology to recreate old patterns. The opportunity ahead is to invent entirely new applications that only AI-native development makes possible. WorkOS is building the enterprise infrastructure that lets teams design the next era of software itself. Enterprise-ready AI is where the real acceleration happens. Let’s build that future together.

Michael Grinich

37,894 次观看 • 9 个月前

🎉 Tailkit 4.0 is here, and I couldn't be more excited! 🙌🥳 But first - Giveaway Alert! Want to get a free Tailkit Developer license? Just drop a reply and give a like or repost (totally optional, but super appreciated). The lucky winner will be announced next Tuesday (October 8th) – good luck! Can you believe it’s already been 4 years since Tailkit’s journey started? ❤️ It feels like just yesterday I launched Tailkit 1.0 as an offline standalone web app back on October 1st, 2020. I'm really attached to this project because it was launched just a few days before I became a dad 👶😍 Fast forward to today, and Tailkit has grown into a fully customizable, feature-packed online app that gives you access to: - 550+ Tailwind CSS components (fully responsive + dark mode support) - 1,750+ Code snippets for HTML, React, Vue.js, and Alpine.js - 7 Marketing & Application Templates for HTML, React, Vue.js, and Laravel (fully responsive + dark mode support) - 10 Starter Kits for HTML, HTML with Vite, React, Vue.js, Laravel, Next.js, Nuxt, Astro, Svelte and Angular - 30 Days of Unlimited Design Service with every new Team license - Exclusive deals on third-party tools and projects - Handy helper tools like Button Builder, Color Palette, and Icon Finder - 3,700+ SVG Icons from Bootstrap and Heroicons - Free lifetime updates - Email support whenever you need it And the 4.0 update is packed with even more awesome features and upgrades: - 6 new UI components (Notifications) were added in Application UI package - 20 new UI components (Image/Content Sliders++) were added in Marketing package - React version (uses Vite) is introduced for all Templates - React code snippets were improved in all packages - Astro Starter Kit was added - Remove Dark Classes (from code snippets) option was added in App - Universal Dark Mode (preview pane can default to global dark mode) option was added in App - New preview colors (fuchsia, gray) were added in App - Heroicons v2 icons were updated to v2.1.5 adding 28+ brand new icons in App - 3 new exclusive deals are now available - UI design improvements in App - Various improvements and fixes in App - All dependencies were updated in Starter Kits - All dependencies were updated in Templates - Marketing website redesigned - Color Palette tool was made available to all I’ve put over 200 hours into this update alone, and I’m beyond excited to finally share it with you. Your continued support has made this journey possible, and I’m so grateful to have you along for the ride. 🙏 Wishing you an amazing day – remember, YOU ARE AWESOME! Go build something incredible! 🚀
1:17

🎉 Tailkit 4.0 is here, and I couldn't be more excited! 🙌🥳 But first - Giveaway Alert! Want to get a free Tailkit Developer license? Just drop a reply and give a like or repost (totally optional, but super appreciated). The lucky winner will be announced next Tuesday (October 8th) – good luck! Can you believe it’s already been 4 years since Tailkit’s journey started? ❤️ It feels like just yesterday I launched Tailkit 1.0 as an offline standalone web app back on October 1st, 2020. I'm really attached to this project because it was launched just a few days before I became a dad 👶😍 Fast forward to today, and Tailkit has grown into a fully customizable, feature-packed online app that gives you access to: - 550+ Tailwind CSS components (fully responsive + dark mode support) - 1,750+ Code snippets for HTML, React, Vue.js, and Alpine.js - 7 Marketing & Application Templates for HTML, React, Vue.js, and Laravel (fully responsive + dark mode support) - 10 Starter Kits for HTML, HTML with Vite, React, Vue.js, Laravel, Next.js, Nuxt, Astro, Svelte and Angular - 30 Days of Unlimited Design Service with every new Team license - Exclusive deals on third-party tools and projects - Handy helper tools like Button Builder, Color Palette, and Icon Finder - 3,700+ SVG Icons from Bootstrap and Heroicons - Free lifetime updates - Email support whenever you need it And the 4.0 update is packed with even more awesome features and upgrades: - 6 new UI components (Notifications) were added in Application UI package - 20 new UI components (Image/Content Sliders++) were added in Marketing package - React version (uses Vite) is introduced for all Templates - React code snippets were improved in all packages - Astro Starter Kit was added - Remove Dark Classes (from code snippets) option was added in App - Universal Dark Mode (preview pane can default to global dark mode) option was added in App - New preview colors (fuchsia, gray) were added in App - Heroicons v2 icons were updated to v2.1.5 adding 28+ brand new icons in App - 3 new exclusive deals are now available - UI design improvements in App - Various improvements and fixes in App - All dependencies were updated in Starter Kits - All dependencies were updated in Templates - Marketing website redesigned - Color Palette tool was made available to all I’ve put over 200 hours into this update alone, and I’m beyond excited to finally share it with you. Your continued support has made this journey possible, and I’m so grateful to have you along for the ride. 🙏 Wishing you an amazing day – remember, YOU ARE AWESOME! Go build something incredible! 🚀

John Champ

10,940 次观看 • 1 年前

I've been building a music player with Next.js for fun. Here's a quick demo of how it works (it's open source!) • Demo: • Code: If you want to learn more about how it's built, here's more details ↓ I'm using Postgres (with Drizzle) to store information about the songs and playlists. Audio and image files are stored in Vercel Blob (object storage), and the URLs are then referenced in the database. For the UI, I'm using shadcn/ui (so Tailwind CSS and Radix). This made it easy to copy/paste in some nice components, like the dropdown menus. I built the entire first version of the UI in v0 and then iterated from there, feeding it my Drizzle schema as a source in the project and having it scaffold some of the boilerplate for me: I added support for keyboard navigation (using arrow keys) or vim motions (j/k to go up/down, and h/l to go between playlists and tracks). Also, space to toggle the now playing song, and / to focus the search input. The search function has a nice utility to highlight the currently searched text on the page in yellow. Then, I was exploring how to pass metadata from my application to macOS or iOS. Turns out there's an API for that – MediaSession. Web apps can share metadata about what media is playing (title, artist, album artwork) and sync play/pause/seek with system media controls. Works across modern browsers — even integrates with iOS dynamic island and shows up on lock screens: I set up my app like a PWA – it has a manifest.json file, so it can be installed to my iOS home screen or added to my dock on macOS. On iOS, it then uses the full screen height `100dvh` (dynamic viewport) and has padding on the bottom for the safe area with the `env()` CSS function. Finally, I was able to use the Vercel AI SDK in a script to clean up the metadata on audio files I downloaded from YouTube. Bonus: I even was able to dogfood the React Compiler, which helped me fix a performance bug! That's all! It's fun to make personal software:
2:03

I've been building a music player with Next.js for fun. Here's a quick demo of how it works (it's open source!) • Demo: • Code: If you want to learn more about how it's built, here's more details ↓ I'm using Postgres (with Drizzle) to store information about the songs and playlists. Audio and image files are stored in Vercel Blob (object storage), and the URLs are then referenced in the database. For the UI, I'm using shadcn/ui (so Tailwind CSS and Radix). This made it easy to copy/paste in some nice components, like the dropdown menus. I built the entire first version of the UI in v0 and then iterated from there, feeding it my Drizzle schema as a source in the project and having it scaffold some of the boilerplate for me: I added support for keyboard navigation (using arrow keys) or vim motions (j/k to go up/down, and h/l to go between playlists and tracks). Also, space to toggle the now playing song, and / to focus the search input. The search function has a nice utility to highlight the currently searched text on the page in yellow. Then, I was exploring how to pass metadata from my application to macOS or iOS. Turns out there's an API for that – MediaSession. Web apps can share metadata about what media is playing (title, artist, album artwork) and sync play/pause/seek with system media controls. Works across modern browsers — even integrates with iOS dynamic island and shows up on lock screens: I set up my app like a PWA – it has a manifest.json file, so it can be installed to my iOS home screen or added to my dock on macOS. On iOS, it then uses the full screen height `100dvh` (dynamic viewport) and has padding on the bottom for the safe area with the `env()` CSS function. Finally, I was able to use the Vercel AI SDK in a script to clean up the metadata on audio files I downloaded from YouTube. Bonus: I even was able to dogfood the React Compiler, which helped me fix a performance bug! That's all! It's fun to make personal software:

Lee Robinson

118,242 次观看 • 1 年前

Steal my Gemini 3.0 prompt to generate any website based on your custom requirements. ------------------------ ELITE WEB DESIGNER ------------------------ Adopt the role of a former Silicon Valley design prodigy who burned out creating soulless SaaS dashboards, disappeared to study motion graphics and shader programming in Tokyo's underground creative scene, and emerged with an obsessive understanding of how visual maximalism serves business credibility when executed with surgical precision. You're a conversion strategist who spent years A/B testing landing pages for unicorn startups, a design fundamentalist who refuses to sacrifice usability for aesthetics, and a master meta-prompter who optimizes for clarity over verbosity. You know modern image generation AI needs specific structural formatting—contemporary design frameworks (Tailwind CSS, Shadcn UI, glassmorphism, liquid glass, morphism), backgrounds with depth (animated gradients, shaders, mascots), and step-by-step execution instructions—to produce 2025-quality interfaces instead of outdated designs. Your mission: Transform user vision into fully-coded, visually striking websites that balance aesthetic impact with conversion effectiveness. Extract requirements, architect strategic 5-6 section homepages, generate visual previews showing all sections with interactive elements visible, iterate until perfect, then build complete homepage before making navigation and additional pages functional—all adapted to specific context, not rigid templates. ##PHASE 1: Vision Capture What we're doing: Understanding your aesthetic, business context, and strategic goals efficiently. Provide your vision via: 1. Screenshot of design inspiration 2. Written description (business type, aesthetic, features) 3. Both Share: **Aesthetic**: Style preference? (maximalist, minimalist, brutalist, glassmorphic, liquid glass, morphism, retro, futuristic, geometric, editorial, etc.) **Elements**: Specific visuals wanted? (shaders, 3D effects, colors, animations, mascots, backgrounds) **Avoid**: What to exclude? (purple overload, illegible text, hidden CTAs, outdated UI, flat backgrounds, etc.) **Business**: What you do, target audience, website goal, differentiator? Type "ready" when shared. ##PHASE 2: Strategic Homepage Architecture What we're doing: Translating your vision into 5-6 section homepage structure following conversion principles and modern design fundamentals. I'll architect sections specifically for YOUR business, not templates: **Strategic Framework** (contextualized to your model): Core sections adapt based on business type: - Hero with value prop + primary CTA - Trust/credibility section (social proof, stats, logos) - Value delivery (features, benefits, process, how-it-works) - Conversion focal point (pricing, offers, lead capture, demo) - Engagement closer (FAQ, secondary CTA, community) Sections customize to context—SaaS gets problem-solution-pricing flow, agencies get case studies-process-testimonials, e-commerce gets benefits-proof-offers, portfolios get philosophy-work-results. **Strategic Plan Includes**: - 5-6 contextualized sections with rationale - Content direction based on audience psychology - Visual treatment matching your aesthetic with fundamentals enforced - Modern framework approach (Tailwind/Shadcn/Glassmorphism) - Background depth strategy (animated gradients, shaders, visuals) - Color strategy avoiding generic choices unless brand-appropriate - Typography prioritizing legibility - CTA strategy for conversion optimization **Your options**: - "continue" to proceed to design system and mockup - Request adjustments - Ask questions ##PHASE 3: Design System & Mockup Preparation What we're doing: Establishing visual foundation using contemporary frameworks, then crafting optimized prompt to generate mockup showing ALL 5-6 sections at once with visible interactive elements. I'll define: **Contextualized Style Direction**: Keywords and frameworks fitting YOUR brand specifically **Design Framework Strategy**: Styling approach, component philosophy, layout pattern—all adapted to your aesthetic **Background Depth Treatment**: How background creates depth without distraction, animation philosophy, visual elements supporting content **Visual System**: Color palette with strategic rationale, typography with reasoning, component styling philosophy, spacing strategy, CTA differentiation, modern UI patterns adapted to your aesthetic **Optimized Prompt Structure** (meta-prompted): Two versions: **Human-Readable**: Descriptive overview for review **JSON Optimized**: Structured for image generation using meta-prompt principles: - Required anchors: "Website screenshot", "Professional website design mockup", "Award-winning UI design", "Modern web interface 2025" - Aesthetic philosophy over exhaustive lists - "Execute this step-by-step" instruction - Modern framework references (Tailwind, Shadcn, Glassmorphism) - Background depth details (animated gradients, shaders, visuals) - All 5-6 sections in flowing narrative - Interactive element visibility emphasis (CTAs, buttons, animations) to convey design principles - Strategic constraints (legibility, prominence, hierarchy, depth) - Optimized length balancing detail with conciseness Type "continue" to see prompt. ##PHASE 4: Complete Homepage Mockup Prompt What we're doing: Presenting optimized prompts for full-page mockup showing ALL 5-6 sections with interactive design elements visible. **HUMAN-READABLE VERSION**: Narrative description of your complete homepage: - Opening with quality anchors - Core aesthetic philosophy adapted to your context - Background treatment creating depth - Navigation approach - All 5-6 sections described contextually - Color palette with reasoning - Typography philosophy - Component styling approach - Modern framework references - Interactive element visibility strategy - Critical constraints - Avoidance list based on preferences **JSON VERSION** (optimized for generation): ```json { "prompt": "Website screenshot of [your business]. Professional website design mockup. Award-winning UI design. Modern web interface 2025. Execute this step-by-step. [Aesthetic philosophy] with [framework] approach. Background: [depth treatment with animations/gradients/effects]. Full homepage vertical scroll showing 5-6 sections: Navigation [treatment]. Hero [value prop, CTA, visuals]. [Section 2 with layout philosophy]. [Section 3 with component approach]. [Section 4 with interaction style]. [Section 5 with conversion focus]. [Section 6 if applicable]. Color strategy: [palette with reasoning]. Typography: [philosophy and hierarchy]. Components: [styling approach with visible affordances]. Framework: Tailwind patterns, Shadcn style, [specific effects]. Interactive elements show: prominent CTAs, hover implications, animation hints, button affordances. Critical: legible text, prominent CTAs, background depth, clear hierarchy, contemporary 2025 design, professional quality. Avoid: [specific issues].", "aspect_ratio": "9:16" } ``` Meta-optimized: principles over lists, step-by-step execution, framework context, interactive visibility. **Review both. JSON executes.** **To generate complete homepage mockup, type "generate"** **Important note**: When you type "generate", I'll execute the image generation tool. The image will appear, but the process will seem to pause. This is normal—the tool can only return the image without commentary. Simply type "continue" after you receive the image to proceed with the next phase. **To adjust the prompt before generating, tell me what to change** Won't execute until you command. ##PHASE 5: Complete Homepage Mockup Generation What we're doing: Executing image generation with optimized JSON showing ALL 5-6 sections vertically. ONLY activates when you type "generate", "create mockup", "make image", or similar. Once commanded, I execute using ONLY JSON prompt—no modifications. You receive full-page vertical mockup showing: - All 5-6 sections in scrollable view - Interactive design elements (CTAs, buttons, animations) visible - Background depth and modern framework styling - Complete design system applied **After the image appears, type "continue" to proceed.** The image generation tool only returns the visual—you'll need to type "continue" to move forward with reviewing and next steps. ##PHASE 6: Mockup Review & Refinement Decision What we're doing: Reviewing the generated mockup and deciding next steps. This phase activates after you type "continue" following image generation. **Your options after viewing the mockup**: - "Approved" or "build" - proceed to building complete homepage code - Request specific changes - I'll update the prompt and regenerate - Ask questions or request adjustments **If you request changes**: I'll present updated prompts (readable + JSON) showing modifications, then ask you to type "generate" again for the revised mockup. Each refinement iteration: 1. You describe desired changes 2. I present updated prompts 3. You type "generate" 4. Image appears 5. You type "continue" to proceed 6. We review and decide next steps 7. Repeat until perfect Common refinements: section emphasis, background depth, colors, typography, CTA prominence, interactive visibility, framework styling, aesthetic tuning. Once you're satisfied with the mockup, type "approved" or "build" to proceed to code generation. ##PHASE 7: Complete Homepage Code Generation What we're doing: Building entire 5-6 section homepage as production-ready code matching approved mockup exactly. **Complete Single-File HTML Delivery**: - All 5-6 sections coded and integrated - Fully responsive across devices - Modern CSS implementation (Tailwind-style or modern CSS) - Animated background matching mockup (CSS gradients, WebGL, SVG) - All interactive elements functional (buttons, CTAs, forms, animations) - Navigation implemented per design - Component styling matching aesthetic (glassmorphism, shadows, borders) - Typography system with hierarchy and legibility - Color system from specification - Micro-interactions and hover states - Scroll animations where appropriate - Performance-optimized **Technical Quality**: Semantic HTML, modern CSS (custom properties, grid, flexbox, backdrop-filter, transforms, animations), vanilla JavaScript, accessibility considerations, mobile-first responsive, smooth scrolling, optimized assets, cross-browser compatible. **Code Structure**: Clean commented HTML, inline CSS organized in style block, inline JavaScript, ready to copy/paste and deploy, fully functional standalone. **Strategic Content**: Intelligent placeholders based on your business model, conversion psychology, target audience, professional tone—easily replaceable. **Design Fundamentals Verified**: All sections with hierarchy, prominent functional CTAs, readable text with contrast, clear interactive signals, background depth, adequate whitespace, responsive, contemporary 2025 quality. Automatically presents next phase after delivery. ##PHASE 8: Navigation & Pages Planning What we're doing: Making all navigation functional and planning additional pages. **Navigation Audit**: [List nav items from homepage] **Options for each item**: Create dedicated page, expand section to full page, smooth scroll to section, custom approach. **For clickable elements**: Decide what happens—link to new page, scroll to section, open modal, trigger action, external link. **What to make functional first? Choose**: 1. Complete navigation by building all pages 2. Primary conversion path (CTA → specific page) 3. Specific pages you prioritize 4. Internal links with smooth scrolling 5. Custom approach **Or** "auto-complete" for intelligent decisions based on your model. ##PHASE 9-X: Progressive Development What we're doing: Building each page or making elements functional, maintaining design consistency. **Each Page Delivery**: Complete HTML matching homepage design system, same framework styling, same background treatment, same typography/colors, appropriate sections, full responsiveness, functional interactions, integrated navigation. **Each Functionality Addition**: Smooth scroll, modals, form validation, interactive components, animation triggers, other elements. **After Each Delivery**: Current Progress: [What's complete] **What next? Choose**: [4-6 options for next page/functionality] **Or** "auto-complete" for intelligent completion. Continues until site fully functional. ##PHASE FINAL: Complete Integration & Polish What we're doing: Final integration ensuring everything links, works, and maintains consistency. **Complete Package**: Homepage HTML (all sections), all additional pages, complete styling/functionality per file, working navigation across pages, functional CTAs/buttons, validated forms, consistent design system. **Deliverables**: All HTML files deployment-ready, quick deployment guide, customization documentation, design system reference. **Quality Verified**: Complete homepage, functional navigation, working CTAs, consistent pages, responsive, optimized, modern framework styling, functional interactions, professional 2025 quality. --- **CRITICAL RULES**: **Image Generation**: - Present: Human-Readable + Optimized JSON - JSON meta-principles: distilled concepts, "Execute step-by-step", framework context - JSON opens: "Website screenshot" + "Professional website design mockup. Award-winning UI design. Modern web interface 2025." - JSON shows: ALL 5-6 sections vertically in one mockup - JSON emphasizes: interactive element visibility (CTAs, buttons, animations) - JSON includes: modern frameworks (Tailwind, Shadcn, Glassmorphism), background depth (gradients, shaders, mascots—NEVER flat) - User "generate" → Send ONLY JSON → No modifications - Aspect ratio: 9:16 (vertical to show all sections) - After image appears → User MUST type "continue" to proceed (tool only returns image without commentary) **Homepage Development**: - Generate mockup with ALL 5-6 sections at once - After approval, build COMPLETE homepage code (all sections functional) - Deliver entire homepage as single working file - Then make navigation/additional pages functional - Flow: complete homepage → functional navigation → additional pages **Content Adaptation**: - NO hardcoded templates - Adapt ALL to user's specific business context - Strategic frameworks based on actual audience - Section selection/styling contextualized to goals - Design choices match aesthetic preference - Professional placeholders easily customizable **Standards**: Contemporary frameworks, background depth, interactive element visibility, modern CSS/frameworks, 2025 quality throughout. **Control**: User commands each phase explicitly. "generate" for mockup (then "continue" after image), "approved"/"build" for code, choose-your-adventure for pages, adjust anytime. Begin Phase 1 when ready.
0:35

Steal my Gemini 3.0 prompt to generate any website based on your custom requirements. ------------------------ ELITE WEB DESIGNER ------------------------ Adopt the role of a former Silicon Valley design prodigy who burned out creating soulless SaaS dashboards, disappeared to study motion graphics and shader programming in Tokyo's underground creative scene, and emerged with an obsessive understanding of how visual maximalism serves business credibility when executed with surgical precision. You're a conversion strategist who spent years A/B testing landing pages for unicorn startups, a design fundamentalist who refuses to sacrifice usability for aesthetics, and a master meta-prompter who optimizes for clarity over verbosity. You know modern image generation AI needs specific structural formatting—contemporary design frameworks (Tailwind CSS, Shadcn UI, glassmorphism, liquid glass, morphism), backgrounds with depth (animated gradients, shaders, mascots), and step-by-step execution instructions—to produce 2025-quality interfaces instead of outdated designs. Your mission: Transform user vision into fully-coded, visually striking websites that balance aesthetic impact with conversion effectiveness. Extract requirements, architect strategic 5-6 section homepages, generate visual previews showing all sections with interactive elements visible, iterate until perfect, then build complete homepage before making navigation and additional pages functional—all adapted to specific context, not rigid templates. ##PHASE 1: Vision Capture What we're doing: Understanding your aesthetic, business context, and strategic goals efficiently. Provide your vision via: 1. Screenshot of design inspiration 2. Written description (business type, aesthetic, features) 3. Both Share: **Aesthetic**: Style preference? (maximalist, minimalist, brutalist, glassmorphic, liquid glass, morphism, retro, futuristic, geometric, editorial, etc.) **Elements**: Specific visuals wanted? (shaders, 3D effects, colors, animations, mascots, backgrounds) **Avoid**: What to exclude? (purple overload, illegible text, hidden CTAs, outdated UI, flat backgrounds, etc.) **Business**: What you do, target audience, website goal, differentiator? Type "ready" when shared. ##PHASE 2: Strategic Homepage Architecture What we're doing: Translating your vision into 5-6 section homepage structure following conversion principles and modern design fundamentals. I'll architect sections specifically for YOUR business, not templates: **Strategic Framework** (contextualized to your model): Core sections adapt based on business type: - Hero with value prop + primary CTA - Trust/credibility section (social proof, stats, logos) - Value delivery (features, benefits, process, how-it-works) - Conversion focal point (pricing, offers, lead capture, demo) - Engagement closer (FAQ, secondary CTA, community) Sections customize to context—SaaS gets problem-solution-pricing flow, agencies get case studies-process-testimonials, e-commerce gets benefits-proof-offers, portfolios get philosophy-work-results. **Strategic Plan Includes**: - 5-6 contextualized sections with rationale - Content direction based on audience psychology - Visual treatment matching your aesthetic with fundamentals enforced - Modern framework approach (Tailwind/Shadcn/Glassmorphism) - Background depth strategy (animated gradients, shaders, visuals) - Color strategy avoiding generic choices unless brand-appropriate - Typography prioritizing legibility - CTA strategy for conversion optimization **Your options**: - "continue" to proceed to design system and mockup - Request adjustments - Ask questions ##PHASE 3: Design System & Mockup Preparation What we're doing: Establishing visual foundation using contemporary frameworks, then crafting optimized prompt to generate mockup showing ALL 5-6 sections at once with visible interactive elements. I'll define: **Contextualized Style Direction**: Keywords and frameworks fitting YOUR brand specifically **Design Framework Strategy**: Styling approach, component philosophy, layout pattern—all adapted to your aesthetic **Background Depth Treatment**: How background creates depth without distraction, animation philosophy, visual elements supporting content **Visual System**: Color palette with strategic rationale, typography with reasoning, component styling philosophy, spacing strategy, CTA differentiation, modern UI patterns adapted to your aesthetic **Optimized Prompt Structure** (meta-prompted): Two versions: **Human-Readable**: Descriptive overview for review **JSON Optimized**: Structured for image generation using meta-prompt principles: - Required anchors: "Website screenshot", "Professional website design mockup", "Award-winning UI design", "Modern web interface 2025" - Aesthetic philosophy over exhaustive lists - "Execute this step-by-step" instruction - Modern framework references (Tailwind, Shadcn, Glassmorphism) - Background depth details (animated gradients, shaders, visuals) - All 5-6 sections in flowing narrative - Interactive element visibility emphasis (CTAs, buttons, animations) to convey design principles - Strategic constraints (legibility, prominence, hierarchy, depth) - Optimized length balancing detail with conciseness Type "continue" to see prompt. ##PHASE 4: Complete Homepage Mockup Prompt What we're doing: Presenting optimized prompts for full-page mockup showing ALL 5-6 sections with interactive design elements visible. **HUMAN-READABLE VERSION**: Narrative description of your complete homepage: - Opening with quality anchors - Core aesthetic philosophy adapted to your context - Background treatment creating depth - Navigation approach - All 5-6 sections described contextually - Color palette with reasoning - Typography philosophy - Component styling approach - Modern framework references - Interactive element visibility strategy - Critical constraints - Avoidance list based on preferences **JSON VERSION** (optimized for generation): ```json { "prompt": "Website screenshot of [your business]. Professional website design mockup. Award-winning UI design. Modern web interface 2025. Execute this step-by-step. [Aesthetic philosophy] with [framework] approach. Background: [depth treatment with animations/gradients/effects]. Full homepage vertical scroll showing 5-6 sections: Navigation [treatment]. Hero [value prop, CTA, visuals]. [Section 2 with layout philosophy]. [Section 3 with component approach]. [Section 4 with interaction style]. [Section 5 with conversion focus]. [Section 6 if applicable]. Color strategy: [palette with reasoning]. Typography: [philosophy and hierarchy]. Components: [styling approach with visible affordances]. Framework: Tailwind patterns, Shadcn style, [specific effects]. Interactive elements show: prominent CTAs, hover implications, animation hints, button affordances. Critical: legible text, prominent CTAs, background depth, clear hierarchy, contemporary 2025 design, professional quality. Avoid: [specific issues].", "aspect_ratio": "9:16" } ``` Meta-optimized: principles over lists, step-by-step execution, framework context, interactive visibility. **Review both. JSON executes.** **To generate complete homepage mockup, type "generate"** **Important note**: When you type "generate", I'll execute the image generation tool. The image will appear, but the process will seem to pause. This is normal—the tool can only return the image without commentary. Simply type "continue" after you receive the image to proceed with the next phase. **To adjust the prompt before generating, tell me what to change** Won't execute until you command. ##PHASE 5: Complete Homepage Mockup Generation What we're doing: Executing image generation with optimized JSON showing ALL 5-6 sections vertically. ONLY activates when you type "generate", "create mockup", "make image", or similar. Once commanded, I execute using ONLY JSON prompt—no modifications. You receive full-page vertical mockup showing: - All 5-6 sections in scrollable view - Interactive design elements (CTAs, buttons, animations) visible - Background depth and modern framework styling - Complete design system applied **After the image appears, type "continue" to proceed.** The image generation tool only returns the visual—you'll need to type "continue" to move forward with reviewing and next steps. ##PHASE 6: Mockup Review & Refinement Decision What we're doing: Reviewing the generated mockup and deciding next steps. This phase activates after you type "continue" following image generation. **Your options after viewing the mockup**: - "Approved" or "build" - proceed to building complete homepage code - Request specific changes - I'll update the prompt and regenerate - Ask questions or request adjustments **If you request changes**: I'll present updated prompts (readable + JSON) showing modifications, then ask you to type "generate" again for the revised mockup. Each refinement iteration: 1. You describe desired changes 2. I present updated prompts 3. You type "generate" 4. Image appears 5. You type "continue" to proceed 6. We review and decide next steps 7. Repeat until perfect Common refinements: section emphasis, background depth, colors, typography, CTA prominence, interactive visibility, framework styling, aesthetic tuning. Once you're satisfied with the mockup, type "approved" or "build" to proceed to code generation. ##PHASE 7: Complete Homepage Code Generation What we're doing: Building entire 5-6 section homepage as production-ready code matching approved mockup exactly. **Complete Single-File HTML Delivery**: - All 5-6 sections coded and integrated - Fully responsive across devices - Modern CSS implementation (Tailwind-style or modern CSS) - Animated background matching mockup (CSS gradients, WebGL, SVG) - All interactive elements functional (buttons, CTAs, forms, animations) - Navigation implemented per design - Component styling matching aesthetic (glassmorphism, shadows, borders) - Typography system with hierarchy and legibility - Color system from specification - Micro-interactions and hover states - Scroll animations where appropriate - Performance-optimized **Technical Quality**: Semantic HTML, modern CSS (custom properties, grid, flexbox, backdrop-filter, transforms, animations), vanilla JavaScript, accessibility considerations, mobile-first responsive, smooth scrolling, optimized assets, cross-browser compatible. **Code Structure**: Clean commented HTML, inline CSS organized in style block, inline JavaScript, ready to copy/paste and deploy, fully functional standalone. **Strategic Content**: Intelligent placeholders based on your business model, conversion psychology, target audience, professional tone—easily replaceable. **Design Fundamentals Verified**: All sections with hierarchy, prominent functional CTAs, readable text with contrast, clear interactive signals, background depth, adequate whitespace, responsive, contemporary 2025 quality. Automatically presents next phase after delivery. ##PHASE 8: Navigation & Pages Planning What we're doing: Making all navigation functional and planning additional pages. **Navigation Audit**: [List nav items from homepage] **Options for each item**: Create dedicated page, expand section to full page, smooth scroll to section, custom approach. **For clickable elements**: Decide what happens—link to new page, scroll to section, open modal, trigger action, external link. **What to make functional first? Choose**: 1. Complete navigation by building all pages 2. Primary conversion path (CTA → specific page) 3. Specific pages you prioritize 4. Internal links with smooth scrolling 5. Custom approach **Or** "auto-complete" for intelligent decisions based on your model. ##PHASE 9-X: Progressive Development What we're doing: Building each page or making elements functional, maintaining design consistency. **Each Page Delivery**: Complete HTML matching homepage design system, same framework styling, same background treatment, same typography/colors, appropriate sections, full responsiveness, functional interactions, integrated navigation. **Each Functionality Addition**: Smooth scroll, modals, form validation, interactive components, animation triggers, other elements. **After Each Delivery**: Current Progress: [What's complete] **What next? Choose**: [4-6 options for next page/functionality] **Or** "auto-complete" for intelligent completion. Continues until site fully functional. ##PHASE FINAL: Complete Integration & Polish What we're doing: Final integration ensuring everything links, works, and maintains consistency. **Complete Package**: Homepage HTML (all sections), all additional pages, complete styling/functionality per file, working navigation across pages, functional CTAs/buttons, validated forms, consistent design system. **Deliverables**: All HTML files deployment-ready, quick deployment guide, customization documentation, design system reference. **Quality Verified**: Complete homepage, functional navigation, working CTAs, consistent pages, responsive, optimized, modern framework styling, functional interactions, professional 2025 quality. --- **CRITICAL RULES**: **Image Generation**: - Present: Human-Readable + Optimized JSON - JSON meta-principles: distilled concepts, "Execute step-by-step", framework context - JSON opens: "Website screenshot" + "Professional website design mockup. Award-winning UI design. Modern web interface 2025." - JSON shows: ALL 5-6 sections vertically in one mockup - JSON emphasizes: interactive element visibility (CTAs, buttons, animations) - JSON includes: modern frameworks (Tailwind, Shadcn, Glassmorphism), background depth (gradients, shaders, mascots—NEVER flat) - User "generate" → Send ONLY JSON → No modifications - Aspect ratio: 9:16 (vertical to show all sections) - After image appears → User MUST type "continue" to proceed (tool only returns image without commentary) **Homepage Development**: - Generate mockup with ALL 5-6 sections at once - After approval, build COMPLETE homepage code (all sections functional) - Deliver entire homepage as single working file - Then make navigation/additional pages functional - Flow: complete homepage → functional navigation → additional pages **Content Adaptation**: - NO hardcoded templates - Adapt ALL to user's specific business context - Strategic frameworks based on actual audience - Section selection/styling contextualized to goals - Design choices match aesthetic preference - Professional placeholders easily customizable **Standards**: Contemporary frameworks, background depth, interactive element visibility, modern CSS/frameworks, 2025 quality throughout. **Control**: User commands each phase explicitly. "generate" for mockup (then "continue" after image), "approved"/"build" for code, choose-your-adventure for pages, adjust anytime. Begin Phase 1 when ready.

Alex Prompter

190,110 次观看 • 8 个月前

Stepping into the Future with Boundless Today, I'm excited to share that I’m stepping into the role of CEO at , after serving as CIO at RISC Zero for the past 1.5 years. It’s an honor to lead this talented team through the next stage of Boundless’s evolution. I’ve built and scaled engineering orgs at Amazon, Lyft, Coinbase and Ava Labs, but what we are building here is something rarer: the opportunity to permanently raise the ceiling on what blockchains can do and what the internet can be. This is not just a reorganization or restructure. It's a declaration of our collective intent to meet the challenge of continuing our investments in core innovation and simultaneously doubling down on adoption. At RISC Zero, Jeremy Bruestle, Frank Laub and Brian Retford pioneered the first general-purpose ZKVM. R0VM continues to evolve and remains the fastest, most trusted, fully open-source ZKVM. Our work has helped take zero-knowledge technology from academic curiosity to mainstream entry point. Boundless is the next leap forward in that journey. Boundless is designed to deliver ZK breakthroughs directly on-chain, to every developer, every chain, and every user. Aside from productionizing the best ZK tech; we’re reshaping how proof markets, blockchain scalability, and decentralized apps will operate for the next decade. The Boundless Protocol, powered by our Proof of Verifiable Work (PoVW), offers the most performant verifiable computation at the lowest possible cost with the best user experience for developers. We are building a platform that feels inevitable: because it is. Boundless is already seeing incredible momentum; dozens of teams have deployed on our testnet. We are scaling fast in mindshare, developer adoption, and real-world impact. My mandate as CEO is simple: 10x that growth and keep going. Consistency, innovation and adoption wins. Boundless is building for the future, and we’re building with speed. This is bigger than ZK. This is about scaling crypto, blockchain, and ultimately, the internet itself. If you haven’t yet, read the Boundless white paper. Big things are happening and we’re just getting started. Gberry, Shiv
0:41

Stepping into the Future with Boundless Today, I'm excited to share that I’m stepping into the role of CEO at , after serving as CIO at RISC Zero for the past 1.5 years. It’s an honor to lead this talented team through the next stage of Boundless’s evolution. I’ve built and scaled engineering orgs at Amazon, Lyft, Coinbase and Ava Labs, but what we are building here is something rarer: the opportunity to permanently raise the ceiling on what blockchains can do and what the internet can be. This is not just a reorganization or restructure. It's a declaration of our collective intent to meet the challenge of continuing our investments in core innovation and simultaneously doubling down on adoption. At RISC Zero, Jeremy Bruestle, Frank Laub and Brian Retford pioneered the first general-purpose ZKVM. R0VM continues to evolve and remains the fastest, most trusted, fully open-source ZKVM. Our work has helped take zero-knowledge technology from academic curiosity to mainstream entry point. Boundless is the next leap forward in that journey. Boundless is designed to deliver ZK breakthroughs directly on-chain, to every developer, every chain, and every user. Aside from productionizing the best ZK tech; we’re reshaping how proof markets, blockchain scalability, and decentralized apps will operate for the next decade. The Boundless Protocol, powered by our Proof of Verifiable Work (PoVW), offers the most performant verifiable computation at the lowest possible cost with the best user experience for developers. We are building a platform that feels inevitable: because it is. Boundless is already seeing incredible momentum; dozens of teams have deployed on our testnet. We are scaling fast in mindshare, developer adoption, and real-world impact. My mandate as CEO is simple: 10x that growth and keep going. Consistency, innovation and adoption wins. Boundless is building for the future, and we’re building with speed. This is bigger than ZK. This is about scaling crypto, blockchain, and ultimately, the internet itself. If you haven’t yet, read the Boundless white paper. Big things are happening and we’re just getting started. Gberry, Shiv

Shiv Shankar

48,627 次观看 • 1 年前

I'm using macOS for more than 14 years now, in a single laptop screen setup with lots of windows open, and I'm using macOS spaces everyday to organize my windows. Switching between spaces is easy: I hit CTRL+arrow left/right, it takes no time. What takes time however, is this macOS-native transition animation that takes a bit less than 1 second, for every single space switch. I've checked everywhere in macOS settings, asked friends with the same problem, and there's just no setting to disable this effect (even with Reduced Motion ON in Accessibility settings). This UX choice from Apple alone costs me days of my time every year, as I'm working non-stop on my SaaS business for 10h a day 5-6 days a week (Crisp for those who know about it!). I calculated that with my daily use of macOS spaces, in 6 months I'd perform 100,000 switches, which costs me the same in seconds waiting for the transition to complete. This represents almost 28 hours waiting. In 1 year, I'd have lost 2.4 days just... waiting! The Hack Fortunately, some other open-source projects discovered a hack not so long ago, which allows disabling the transition when switching spaces: it involves sending to the system a "fake" trackpad left/right swipe gesture that's faster than what's expected (faster than what a human can input via the Macbook's trackpad). Above some threshold, macOS just perform the space switch with absolutely no transition. A friend of mine, Yaël 🛸, made a quick prototype in Objective-C, and it magically worked! The Solution So, I asked my friend if we could make it a proper macOS app together, in a beautiful minimalist package, and he said yes! So, we launched Space Rabbit, a tiny 2MB fully native macOS app, that allows you to optimize macOS spaces for productivity! Space Rabbit is a full rewrite of the initial prototype in modern Swift, with a tray menu bar to configure the app, and a settings window, in a macOS app packaging. Space Rabbit can be downloaded right here: We just released V2 of the app last week, fixing a ton of little bugs, especially for dual screen setups. It's actively maintained to this day as it's my daily driver. The app is open-source: and will always be free, as it's helping improve our productivity in our daily Web Dev tasks for our main businesses. We'll be happy to implement more features from user requests, if you find this app useful and use it daily!
0:30

I'm using macOS for more than 14 years now, in a single laptop screen setup with lots of windows open, and I'm using macOS spaces everyday to organize my windows. Switching between spaces is easy: I hit CTRL+arrow left/right, it takes no time. What takes time however, is this macOS-native transition animation that takes a bit less than 1 second, for every single space switch. I've checked everywhere in macOS settings, asked friends with the same problem, and there's just no setting to disable this effect (even with Reduced Motion ON in Accessibility settings). This UX choice from Apple alone costs me days of my time every year, as I'm working non-stop on my SaaS business for 10h a day 5-6 days a week (Crisp for those who know about it!). I calculated that with my daily use of macOS spaces, in 6 months I'd perform 100,000 switches, which costs me the same in seconds waiting for the transition to complete. This represents almost 28 hours waiting. In 1 year, I'd have lost 2.4 days just... waiting! The Hack Fortunately, some other open-source projects discovered a hack not so long ago, which allows disabling the transition when switching spaces: it involves sending to the system a "fake" trackpad left/right swipe gesture that's faster than what's expected (faster than what a human can input via the Macbook's trackpad). Above some threshold, macOS just perform the space switch with absolutely no transition. A friend of mine, Yaël 🛸, made a quick prototype in Objective-C, and it magically worked! The Solution So, I asked my friend if we could make it a proper macOS app together, in a beautiful minimalist package, and he said yes! So, we launched Space Rabbit, a tiny 2MB fully native macOS app, that allows you to optimize macOS spaces for productivity! Space Rabbit is a full rewrite of the initial prototype in modern Swift, with a tray menu bar to configure the app, and a settings window, in a macOS app packaging. Space Rabbit can be downloaded right here: We just released V2 of the app last week, fixing a ton of little bugs, especially for dual screen setups. It's actively maintained to this day as it's my daily driver. The app is open-source: and will always be free, as it's helping improve our productivity in our daily Web Dev tasks for our main businesses. We'll be happy to implement more features from user requests, if you find this app useful and use it daily!

Valerian Saliou

214,656 次观看 • 6 天前

Everyone is sleeping on Meta's SAM 3 release. But it's actually a big deal. Here's why: Companies spend millions paying humans to label images and videos frame by frame. A single autonomous driving dataset? Months of work, hundreds of annotators, millions in cost. Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions. This is why most companies never move past pilots. SAM 3 breaks this cycle. First let's look at the evolution: SAM 1 segmented objects when you clicked on them. Revolutionary, but one object at a time. SAM 2 added video tracking with memory. Game-changing, but you still manually prompted every object. SAM 3 changes everything with text prompts. Type "yellow school bus" and it finds ALL of them in your image or video. Not just one. Every instance across thousands of frames. Now here's where people get confused: "Can't I just use GPT-5 or Gemini for this?" No, and here's why that's a terrible approach. Large multimodal LLMs are great for reasoning, but they're slow and expensive for production visual tasks. You're paying API costs per image, waiting seconds for responses, getting inconsistent results. SAM 3 runs in 30 milliseconds on a single GPU for 100+ objects. That's 100x faster, and you own the infrastructure. More importantly, SAM 3 gives you precise pixel-level masks, not descriptions. Try asking an LLM to segment every defective part on a manufacturing line in real-time. It won't work. SAM 3 does this effortlessly. The real breakthrough is their data engine. Meta built an AI-human hybrid system that's 5x faster for complex annotations. They trained SAM 3 on 4 million unique visual concepts - 50x more than existing benchmarks like LVIS. SAM 3 is trained on 4 million unique visual concepts, it handles everything: - Text-based concept search - Interactive refinement with clicks - Video tracking across frames - Zero-shot detection of new concepts The model is open source. Weights, code, and benchmarks are on GitHub. If you're building computer vision applications, this is the foundation model to evaluate. The annotation time savings alone will pay for integration costs within weeks. Find the relevant links in the next tweet!
0:27

Everyone is sleeping on Meta's SAM 3 release. But it's actually a big deal. Here's why: Companies spend millions paying humans to label images and videos frame by frame. A single autonomous driving dataset? Months of work, hundreds of annotators, millions in cost. Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions. This is why most companies never move past pilots. SAM 3 breaks this cycle. First let's look at the evolution: SAM 1 segmented objects when you clicked on them. Revolutionary, but one object at a time. SAM 2 added video tracking with memory. Game-changing, but you still manually prompted every object. SAM 3 changes everything with text prompts. Type "yellow school bus" and it finds ALL of them in your image or video. Not just one. Every instance across thousands of frames. Now here's where people get confused: "Can't I just use GPT-5 or Gemini for this?" No, and here's why that's a terrible approach. Large multimodal LLMs are great for reasoning, but they're slow and expensive for production visual tasks. You're paying API costs per image, waiting seconds for responses, getting inconsistent results. SAM 3 runs in 30 milliseconds on a single GPU for 100+ objects. That's 100x faster, and you own the infrastructure. More importantly, SAM 3 gives you precise pixel-level masks, not descriptions. Try asking an LLM to segment every defective part on a manufacturing line in real-time. It won't work. SAM 3 does this effortlessly. The real breakthrough is their data engine. Meta built an AI-human hybrid system that's 5x faster for complex annotations. They trained SAM 3 on 4 million unique visual concepts - 50x more than existing benchmarks like LVIS. SAM 3 is trained on 4 million unique visual concepts, it handles everything: - Text-based concept search - Interactive refinement with clicks - Video tracking across frames - Zero-shot detection of new concepts The model is open source. Weights, code, and benchmarks are on GitHub. If you're building computer vision applications, this is the foundation model to evaluate. The annotation time savings alone will pay for integration costs within weeks. Find the relevant links in the next tweet!

Akshay 🚀

46,421 次观看 • 8 个月前

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂
0:18

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂

WINR

37,891 次观看 • 2 年前

What if #AI became as decentralized as #Bitcoin? We sat down with our new friend 3700 from Bitcoin Virtual Machine to hear what their incredible team of anons are working on - "Truly Open AI." Full interview here:👇 1: What positive impact will Layer 2s have on Bitcoin? Layer 2s on Bitcoin open up opportunities for innovation, allowing developers to build dApps and smart contracts on top of Bitcoin, expanding its utility and use cases. By submitting transactions for final settlement on the Bitcoin network, Bitcoin Layer 2 networks claim to achieve the same (or close to) level of security and decentralization as the Bitcoin blockchain. Building a separate execution layer allows them the freedom to employ several technologies (such as rollups). Layer 2 can significantly improve Bitcoin's scalability by processing transactions off-chain, reducing congestion on the main blockchain. Overall, Layer 2s on Bitcoin have the potential to address some of Bitcoin's key limitations, making it more efficient, accessible, and versatile in the long run. 2: What does the ETF approval mean for Layer 2 on Bitcoin? The approval of ETF could potentially have several implications for Layer 2 on Bitcoin: Innovation and Development: With a growing interest in Bitcoin spurred by ETF approval, there could be a surge in research and development efforts focused on enhancing Layer 2. Developers and projects may be incentivized to create new and improved Layer 2 protocols to meet the evolving needs of the expanding Bitcoin ecosystem. An ETF approval could boost mainstream Bitcoin adoption and liquidity. This influx of users may also drive interest in Layer 2 on Bitcoin as a means to enhance the scalability and functionality of Bitcoin. 3: What are the primary challenges facing L2s on Bitcoin? The interoperability of different Layer 2s and their compatibility with Bitcoin's main blockchain can be a challenge. Ensuring seamless interaction between various Layer 2 networks and the Bitcoin blockchain is essential for a cohesive and efficient ecosystem. Some Layer 2s may introduce centralization risks if they rely heavily on centralized entities or trusted intermediaries. Maintaining decentralization and censorship resistance, which are core tenets of Bitcoin, while scaling with Layer 2s is a challenge. 4: What aspects of Layer 2 solutions for Bitcoin are you most enthusiastic about? AI represents one of the cornerstones of our modern era. However, achieving a decentralized AI infrastructure, owned and managed by users, has posed significant challenges. The primary obstacle has been the limited capacity to store and execute AI models due to size and computational limitations. To address this challenge, we propose a new blockchain architecture enabling developers to deploy their own Bitcoin Layer 2 solutions tailored specifically for AI tasks, called Truly Open AI. These Layer 2 blockchains are optimized to handle computationally intensive tasks, such as matrix multiplication, directly on-chain. These Bitcoin Layer 2 solutions offer exceptional throughput, minimal latency, and cost-effectiveness. AI dApps are programmed as Solidity smart contracts, ensuring they operate precisely as intended, free from interference or manipulation. Our BVM AI Contracts Library simplifies the integration of neural networks into dApps, empowering developers to embed AI seamlessly. In summary, I'm particularly enthusiastic about the potential of Layer 2 solutions for Bitcoin to revolutionize decentralized AI by providing scalability, security, and accessibility. 5: How is your Layer 2 different from others being built? BVM distinguishes itself as a Modular infrastructure that empowers thousands of distinct Bitcoin Layer 2 networks, spanning Gaming, DeFi, Social, and AI applications. We're continuously enriching the BVM Module Store with new modules to enhance its capabilities. With each new module, builders gain access to a wider array of tools to explore different use cases on the Bitcoin network. Recent additions include the Filecoin module for affordable storage and the AI Contracts Library for constructing AI-powered Bitcoin Layer 2 chains. We're also gearing up to release a ZK roll-up module in the coming weeks to offer an alternative to the standard optimistic roll-up. We aim to simplify the process of launching a Bitcoin Layer 2 network customized to specific requirements. Think of it as a SaaS offering with predefined best practices. Whether it's a DeFi Bitcoin Layer 2 or a GameFi Bitcoin Layer 2, we provide default solutions tailored to each use case. We're dedicated to expanding the BVM ecosystem by incentivizing more builders to join the Bitcoin network. Through various programs and grants, we support builders in covering their operational costs for Bitcoin Layer 2. Additionally, we offer rewards akin to 'L2 mining' to those who contribute to expanding the user base and total value locked on the network. In summary, BVM stands out with its modular infrastructure, tailored solutions, and efforts to grow the Bitcoin ecosystem.
1:16

What if #AI became as decentralized as #Bitcoin? We sat down with our new friend 3700 from Bitcoin Virtual Machine to hear what their incredible team of anons are working on - "Truly Open AI." Full interview here:👇 1: What positive impact will Layer 2s have on Bitcoin? Layer 2s on Bitcoin open up opportunities for innovation, allowing developers to build dApps and smart contracts on top of Bitcoin, expanding its utility and use cases. By submitting transactions for final settlement on the Bitcoin network, Bitcoin Layer 2 networks claim to achieve the same (or close to) level of security and decentralization as the Bitcoin blockchain. Building a separate execution layer allows them the freedom to employ several technologies (such as rollups). Layer 2 can significantly improve Bitcoin's scalability by processing transactions off-chain, reducing congestion on the main blockchain. Overall, Layer 2s on Bitcoin have the potential to address some of Bitcoin's key limitations, making it more efficient, accessible, and versatile in the long run. 2: What does the ETF approval mean for Layer 2 on Bitcoin? The approval of ETF could potentially have several implications for Layer 2 on Bitcoin: Innovation and Development: With a growing interest in Bitcoin spurred by ETF approval, there could be a surge in research and development efforts focused on enhancing Layer 2. Developers and projects may be incentivized to create new and improved Layer 2 protocols to meet the evolving needs of the expanding Bitcoin ecosystem. An ETF approval could boost mainstream Bitcoin adoption and liquidity. This influx of users may also drive interest in Layer 2 on Bitcoin as a means to enhance the scalability and functionality of Bitcoin. 3: What are the primary challenges facing L2s on Bitcoin? The interoperability of different Layer 2s and their compatibility with Bitcoin's main blockchain can be a challenge. Ensuring seamless interaction between various Layer 2 networks and the Bitcoin blockchain is essential for a cohesive and efficient ecosystem. Some Layer 2s may introduce centralization risks if they rely heavily on centralized entities or trusted intermediaries. Maintaining decentralization and censorship resistance, which are core tenets of Bitcoin, while scaling with Layer 2s is a challenge. 4: What aspects of Layer 2 solutions for Bitcoin are you most enthusiastic about? AI represents one of the cornerstones of our modern era. However, achieving a decentralized AI infrastructure, owned and managed by users, has posed significant challenges. The primary obstacle has been the limited capacity to store and execute AI models due to size and computational limitations. To address this challenge, we propose a new blockchain architecture enabling developers to deploy their own Bitcoin Layer 2 solutions tailored specifically for AI tasks, called Truly Open AI. These Layer 2 blockchains are optimized to handle computationally intensive tasks, such as matrix multiplication, directly on-chain. These Bitcoin Layer 2 solutions offer exceptional throughput, minimal latency, and cost-effectiveness. AI dApps are programmed as Solidity smart contracts, ensuring they operate precisely as intended, free from interference or manipulation. Our BVM AI Contracts Library simplifies the integration of neural networks into dApps, empowering developers to embed AI seamlessly. In summary, I'm particularly enthusiastic about the potential of Layer 2 solutions for Bitcoin to revolutionize decentralized AI by providing scalability, security, and accessibility. 5: How is your Layer 2 different from others being built? BVM distinguishes itself as a Modular infrastructure that empowers thousands of distinct Bitcoin Layer 2 networks, spanning Gaming, DeFi, Social, and AI applications. We're continuously enriching the BVM Module Store with new modules to enhance its capabilities. With each new module, builders gain access to a wider array of tools to explore different use cases on the Bitcoin network. Recent additions include the Filecoin module for affordable storage and the AI Contracts Library for constructing AI-powered Bitcoin Layer 2 chains. We're also gearing up to release a ZK roll-up module in the coming weeks to offer an alternative to the standard optimistic roll-up. We aim to simplify the process of launching a Bitcoin Layer 2 network customized to specific requirements. Think of it as a SaaS offering with predefined best practices. Whether it's a DeFi Bitcoin Layer 2 or a GameFi Bitcoin Layer 2, we provide default solutions tailored to each use case. We're dedicated to expanding the BVM ecosystem by incentivizing more builders to join the Bitcoin network. Through various programs and grants, we support builders in covering their operational costs for Bitcoin Layer 2. Additionally, we offer rewards akin to 'L2 mining' to those who contribute to expanding the user base and total value locked on the network. In summary, BVM stands out with its modular infrastructure, tailored solutions, and efforts to grow the Bitcoin ecosystem.

Supra

83,548 次观看 • 2 年前

Big Update: Critters Quest Website Steps Into Production State with an Exciting New Design! Hey Critters, we're thrilled to share some major news, our website has officially migrated from mint state to production state, and we're taking our platform to the next level right here at After three weeks of dedicated work, we've transformed Critters Quest into a more organized, stable, and feature-rich experience, setting the stage for everything we've planned for the future. This isn't just an upgrade—it's the first step before the real journey begins! Key Updates to the Homepage and Beyond Fresh Categories and Pages: We've added exciting new sections to help you dive deeper into the Critters Quest world: - Play $QUEST (Explorer Page for Staking $QUEST): Dive into our new $QUEST explorer page, where you can find games to stake your $QUEST tokens to earn rewards, track your staking progress, and engage in strategic gameplay challenges that grow your Critters' value. - Play Spins (Explorer Page for Spins): Spins are now front and center with a dedicated spins explorer page, designed to highlight Multipliers Spins, Terron Spins, Quest Tablet Spins(coming soon👀), and more. Organized as daily free spins, limited events, and partner spin opportunities for special loot, offering new ways to boost your rewards. - Breakdown Informational Page: We've introduced a comprehensive guide for new users (and a refresher for veterans) to explore how key features work. This page currently focuses exclusively on the mechanics and info for Master Edition NFTs, Cloned Editions, and Multipliers. It explains how Master Editions serve as the foundation for your Critters' value, how Master Editions allow Cloned Editions to be minted out for others, and how Multipliers enhance your rewards throughout critters ecosystem. Redesigned Homepage: Our homepage has been completely transformed into an intuitive experience that gives you a complete overview of the Critters Quest ecosystem at a glance. It features: - Feature Carousel: Highlighting new additions and important updates - Ecosystem Activities: Real-time data showing active games, spins, or other ongoing activities. - Mini-Leaderboards: Quick snapshots of top performers - PFP Activity Feed: See the latest community PFPs minted - Quick-Access CTAs: Every section includes direct links to the full experience, letting you dive deeper with just one click - Streamlined Introduction: New visitors get a concise overview of Critters Quest right away This overview approach makes navigation intuitive for both newcomers and veterans, ensuring you never miss important information or opportunities. Elevated Designs Across the Board: - Dynamic Castle Layout in the Banner: Our homepage now features a dynamic castle layout in the banner, with castles positioned in the order they appear on the leaderboard. The top leaders are showcased at the top, adding a visual representation of community rankings and bringing our competitive spirit to life. - Critters Terminal (Formerly $QUEST Terminal): Our terminal has been upgraded with a sleek new look and enhanced functionality, now known as the Critters Terminal. It's your go-to hub for finding the most powerful cards and looking for new Critters—it tracks $QUEST allocation on available Critters for sale, their power, equipment, and more, helping you build the ultimate team. - Equipment Viewing: Viewing Critters and their equipment has been elevated with detailed rankings, power levels, and stats, giving you a clearer picture of your team's strength and hinting at game mechanics like power-based strategies. - Spins Pages Redesign: The spins experience has been completely revamped with a fresh, user-friendly design, making it easier to spin for rewards and track your progress, with a focus on multipliers and special loot opportunities. - Partnership Sign-Up Page Update: On our main page, you'll see mentions of our legendary partners—GM Capital, Mintify, Sniper, and more—highlighting our growing ecosystem. We've also updated our partnership sign-up page for those looking to partner with us. This page now includes a detailed breakdown of partnership options and new form fields to streamline the collaboration process. We're excited to expand our network in the future! - Animated Banners: Across all pages, you'll notice new animated banners that bring our world to life, adding visual excitement and guiding you through the platform. - Archived Pages: To streamline the site and focus on the future, we've archived older pages like the Master Edition Mint and Referral pages. These will remain available for reference. Coming Soon: We're already working on exciting additions, including: - SHOP Page: A new experience for purchasing items and gear to enhance your Critters Quest adventures, where you can equip your Critters with power-boosting equipment. - Tokenomics/Liquidty Section (Addition to the INFO Page): We're working on a detailed tokenomics section to add to our INFO page, launching alongside updates to our plans for DEX integration. These changes will add more value to Master Editions, give participants greater confidence, and enhance the overall ecosystem. - Cloned Edition Minting: This innovative feature will launch when Master Editions begin to mint out their Clones, allowing people to mint these unique variations. Cloned Editions will inherit traits and offer new gameplay opportunities, expanding your Critters' potential and rewards. Backend Tweaks: While many of these improvements are visible, we've also made numerous backend tweaks that aren't immediately seen. These optimizations ensure better performance, stability, and scalability for the platform moving forward. Continuous Elevation: This migration marks our first massive overhaul, but it's just the beginning. We're committed to elevating Critters Quest on a continuous basis, refining and expanding the platform with each rollout to keep delivering the best possible experience for our community. Foundation for the Future These updates aren't just cosmetic—they're foundational. After three weeks of hard work, we've created a more organized and structured platform that's ready to support the future rollouts we've been teasing, like Edition Minting, Items Shop, and Quest Games. This migration streamlines our process, allowing us to deliver updates faster and more efficiently for both new users and our longtime adventurers. This is truly the first step before the real journey begins. Our production state sets us up to expand Critters Quest into an even bigger, more engaging GameFi ecosystem, where your Critters can thrive through quests, spins, and community challenges. Whether you're a newcomer or a seasoned player, these changes make it easier to explore, compete, and grow your collection. Your Next Expedition We're just getting started! This production-ready overhaul is the launchpad for all the exciting features and expansions we have planned. Keep an eye on for more updates, and dive into the new pages to see how you can level up your Critters Quest experience. We want to hear from you! Share your feedback, suggestions, and experiences with our new production site in our Discord or commenting below. Your input directly shapes our future updates and helps us create the best possible experience. Thank you for your patience and support during this transition. Together, we're building something truly special!
0:35

Big Update: Critters Quest Website Steps Into Production State with an Exciting New Design! Hey Critters, we're thrilled to share some major news, our website has officially migrated from mint state to production state, and we're taking our platform to the next level right here at After three weeks of dedicated work, we've transformed Critters Quest into a more organized, stable, and feature-rich experience, setting the stage for everything we've planned for the future. This isn't just an upgrade—it's the first step before the real journey begins! Key Updates to the Homepage and Beyond Fresh Categories and Pages: We've added exciting new sections to help you dive deeper into the Critters Quest world: - Play $QUEST (Explorer Page for Staking $QUEST): Dive into our new $QUEST explorer page, where you can find games to stake your $QUEST tokens to earn rewards, track your staking progress, and engage in strategic gameplay challenges that grow your Critters' value. - Play Spins (Explorer Page for Spins): Spins are now front and center with a dedicated spins explorer page, designed to highlight Multipliers Spins, Terron Spins, Quest Tablet Spins(coming soon👀), and more. Organized as daily free spins, limited events, and partner spin opportunities for special loot, offering new ways to boost your rewards. - Breakdown Informational Page: We've introduced a comprehensive guide for new users (and a refresher for veterans) to explore how key features work. This page currently focuses exclusively on the mechanics and info for Master Edition NFTs, Cloned Editions, and Multipliers. It explains how Master Editions serve as the foundation for your Critters' value, how Master Editions allow Cloned Editions to be minted out for others, and how Multipliers enhance your rewards throughout critters ecosystem. Redesigned Homepage: Our homepage has been completely transformed into an intuitive experience that gives you a complete overview of the Critters Quest ecosystem at a glance. It features: - Feature Carousel: Highlighting new additions and important updates - Ecosystem Activities: Real-time data showing active games, spins, or other ongoing activities. - Mini-Leaderboards: Quick snapshots of top performers - PFP Activity Feed: See the latest community PFPs minted - Quick-Access CTAs: Every section includes direct links to the full experience, letting you dive deeper with just one click - Streamlined Introduction: New visitors get a concise overview of Critters Quest right away This overview approach makes navigation intuitive for both newcomers and veterans, ensuring you never miss important information or opportunities. Elevated Designs Across the Board: - Dynamic Castle Layout in the Banner: Our homepage now features a dynamic castle layout in the banner, with castles positioned in the order they appear on the leaderboard. The top leaders are showcased at the top, adding a visual representation of community rankings and bringing our competitive spirit to life. - Critters Terminal (Formerly $QUEST Terminal): Our terminal has been upgraded with a sleek new look and enhanced functionality, now known as the Critters Terminal. It's your go-to hub for finding the most powerful cards and looking for new Critters—it tracks $QUEST allocation on available Critters for sale, their power, equipment, and more, helping you build the ultimate team. - Equipment Viewing: Viewing Critters and their equipment has been elevated with detailed rankings, power levels, and stats, giving you a clearer picture of your team's strength and hinting at game mechanics like power-based strategies. - Spins Pages Redesign: The spins experience has been completely revamped with a fresh, user-friendly design, making it easier to spin for rewards and track your progress, with a focus on multipliers and special loot opportunities. - Partnership Sign-Up Page Update: On our main page, you'll see mentions of our legendary partners—GM Capital, Mintify, Sniper, and more—highlighting our growing ecosystem. We've also updated our partnership sign-up page for those looking to partner with us. This page now includes a detailed breakdown of partnership options and new form fields to streamline the collaboration process. We're excited to expand our network in the future! - Animated Banners: Across all pages, you'll notice new animated banners that bring our world to life, adding visual excitement and guiding you through the platform. - Archived Pages: To streamline the site and focus on the future, we've archived older pages like the Master Edition Mint and Referral pages. These will remain available for reference. Coming Soon: We're already working on exciting additions, including: - SHOP Page: A new experience for purchasing items and gear to enhance your Critters Quest adventures, where you can equip your Critters with power-boosting equipment. - Tokenomics/Liquidty Section (Addition to the INFO Page): We're working on a detailed tokenomics section to add to our INFO page, launching alongside updates to our plans for DEX integration. These changes will add more value to Master Editions, give participants greater confidence, and enhance the overall ecosystem. - Cloned Edition Minting: This innovative feature will launch when Master Editions begin to mint out their Clones, allowing people to mint these unique variations. Cloned Editions will inherit traits and offer new gameplay opportunities, expanding your Critters' potential and rewards. Backend Tweaks: While many of these improvements are visible, we've also made numerous backend tweaks that aren't immediately seen. These optimizations ensure better performance, stability, and scalability for the platform moving forward. Continuous Elevation: This migration marks our first massive overhaul, but it's just the beginning. We're committed to elevating Critters Quest on a continuous basis, refining and expanding the platform with each rollout to keep delivering the best possible experience for our community. Foundation for the Future These updates aren't just cosmetic—they're foundational. After three weeks of hard work, we've created a more organized and structured platform that's ready to support the future rollouts we've been teasing, like Edition Minting, Items Shop, and Quest Games. This migration streamlines our process, allowing us to deliver updates faster and more efficiently for both new users and our longtime adventurers. This is truly the first step before the real journey begins. Our production state sets us up to expand Critters Quest into an even bigger, more engaging GameFi ecosystem, where your Critters can thrive through quests, spins, and community challenges. Whether you're a newcomer or a seasoned player, these changes make it easier to explore, compete, and grow your collection. Your Next Expedition We're just getting started! This production-ready overhaul is the launchpad for all the exciting features and expansions we have planned. Keep an eye on for more updates, and dive into the new pages to see how you can level up your Critters Quest experience. We want to hear from you! Share your feedback, suggestions, and experiences with our new production site in our Discord or commenting below. Your input directly shapes our future updates and helps us create the best possible experience. Thank you for your patience and support during this transition. Together, we're building something truly special!

Critters Quest

26,172 次观看 • 1 年前

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:
31:35

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Mike

14,195 次观看 • 8 个月前

🚨🚨🚨🚨 Dr Mike Yeadon's Austrian Testimony Please watch and share - 15 Mins --------------------------------------- My name is Dr. Mike Yeadon and in the next 10 to 15 minutes I'm going to focus on one major point which is that the purported "vaccines" against this alleged illness, COVID-19 were in my view deliberately designed intentionally to injure, kill and, and reduce fertility. Now this is an allegation I've been making for around three and a half years. In that time, if I was wrong, ladies and gentlemen, I think numerous scientists would have rebutted what I've said in writing and in video. And if I was wrong, I would have expected the drug companies whose products I am maligning to have sought and secured a court injunction to stop me repeating these allegations. Neither of those things have ever happened. What has happened instead is that I have been extraordinarily censored and smeared sideways. And I think I offer that to you as strong evidence that I may be "over the target", at least in relation to these injectable products that have definitely injured and killed many people. So first just brief few words of introduction in terms of credentials. So Mike Yeadon, I've been a professional research scientist for over 30 years in the pharmaceutical industry and in biotech. My first degree was in biochemistry and toxicology. It was a joint honours degree. I got a first, then I did a second degree, a PhD. It's a research based piece of work lasting three years and my focus was respiratory pharmacology, the study of impact of drugs on respiration and so on. And that led into my career where I became a senior research scientist responsible for new drugs to treat allergic, respiratory and later dermatology diseases. I was at one point Vice President and the most senior research person within Pfizer Global R&D, and I left in 2011. And for 10 years after that, seven of those I was founder and CEO of a biotech called ZIARCO which was acquired by Novartis in 2017, since when I've been a consultant although I've discontinued those activities in the last four and a half years or so. So I've not earned a penny from speaking out in the last four and a half years and I don't want to either. There is a longer video by me recorded a month or so ago, 22 minutes long and it's called Silver Bullet and it's on my telegram channel and I hope rather more widely. But today I'm just going to focus on the design and effects of these so called vaccines. So I've been involved all of my professional life with other talented people trying to design and test potential new treatments for respiratory disease and as I say later on dermatology applications. So I can tell you that this, with my background in toxicology and my own research experience, 30 years in the industry, this qualifies me, I think better than any other commentator to evaluate what was in the minds of the people who designed these products. Let me tell you that every component in a medicine is chosen. It's chosen to be there. It's not random. It's chosen to be there to achieve some purpose, that's normal, perhaps to help a drug dissolve, to be absorbed, to persist in your blood, or to leave your body quickly to penetrate the brain if it was a neurological drug, or to stay close to the lung if it was an inhaled drug. So it's quite normal to make choices with objectives in mind. So I believe the intentions of the designers are written into the choices they made, the structures and components, formulation of these products. So I'm going to use those skills, as it were, to back calculate what was in their mind, what objectives did they have when they chose these structures and formulations. So I'm going to just say, before I get into that, just one thing about these so called "vaccines". My experience of the industry over 30 years tells me it is formally impossible to invent, research, test, evaluate, manufacture, gain authorization for, and launch a complex new biological product in under a year. It's formally impossible. I don't care how much money and people you put on it, there are a series of linear steps which when taken together, unless you miss some out, cannot be completed under several years. So if someone told you they had brought a brand new airline to market with new engines in under a year, I think you would know it's formally impossible to do a clean sheet design, to stress test, to manufacture, to test, to flight test, optimise the engines and get regulatory clearance and be ready to take you across the Atlantic in under a year. And of course it's never been done and it's never been done with complex biological products in under a year. So whatever else they did, they didn't do what they said because it cannot be done in under a year. Secondly, and I'll come to the examples in a moment, there are in these products numerous features which in my view, my peers, people like me, people with my training and experience would know for sure would give rise to the toxicities that I pointed out in 2020. They're not, they don't require particular skills you need to know how to do drug discovery and what can go wrong. But I'm not acting like a complete genius in spotting these, just someone who is a professional from this industry that has pointed out numerous features built in by choice that I believe I think they obviously confer toxicology, toxicity to the recipients. And as I've said, people designing these, people like me in wherever they were, pharmaceutical industries or the military, knew these things were going to happen. And that's why I say it's intentional. I'm going to give you three examples that you can go and test. So the first one is these are so called gene based products, that is they've got a string of genetic information in them. Now there aren't any products like that that are in routine use anywhere in the world. So they're brand new technology. But what you'll remember they told you that they do is they cause your body to make as a protein whatever was in that genetic code. Now it's absolutely basic immunology. How is it, do you think your body knows that what's inside of you is meant to be there and you don't attack it? And yet if something gets into your body from the outside or a tumour form, something that shouldn't be in you, your body can recognise that that's foreign or non-self and can attack it. And the answer is you tolerate everything that's meant to be inside your body. When you're in your mum's womb, we, we ruled out the ability to attack ourselves. Unless you get an autoimmune disease in later life, you play nice with yourself until something gets inside you or something goes wrong inside you. So ladies and gentlemen, if you are injected with a genetic sequence that causes you to manufacture a foreign protein, whether it's a virus or something out of a computer, it's not you and it's not meant to be in you, I assure you, your body recognises that it's been invaded, something's in there that shouldn't be and it launch a fatal attack on every cell that it thinks has gone wrong. It's trying to save you. So and that autoimmune reaction that destruction which your body is trying to, is doing because it's trying to protect you, that will happen anywhere in your body, any cell, tissue, organ in your body where unluckily your dose of what was injected into you lands. So if it lands in your heart, you could get myocarditis or a heart attack. If it lands in your brain, you could get a stroke or neurological conditions. If it's in your eyes, you could go blind. If it's in your ovaries, it may sterilise you. But that explains, in my view, a lot of the enormously diverse toxicity that's been seen with these products. So that's one, your body is being made to manufacture something that does not belong in it. And when that happens, everybody with the first lecture of immunology will understand why that happens. It's not an accident, it's in the design. It's a deliberate choice. The second one, then what was encoded in the so called "vaccines", now we're told it's spike protein. I don't think there is a natural spike protein, but proteins with sequences like that are known to be acutely toxic to blood cells, prompting blood clots to nerve cells, causing them to malfunction and probably other things I don't know anything about. So that's the second thing your body was making, was forced to make not only a foreign protein, something that didn't belong in your body, you were, your body was forced to make something that was directly toxic to your body. And the person who chose that sequence knew that's what the property of it was. It's not an accident, it's intentional. Then the third one is absolutely shocking. It's normal for drugs to be formulated that is to be wrapped in something. You'll see them in capsules or tablets. They might have a coating. If it's an inhaler, there might be some liquid with it so it can be propelled. In the case of these injectables, they were wrapped in really fatty globules called lipid nanoparticles, which means tiny little particles of fat. Lipid nanoparticles. Ladies and gentlemen, there were papers published as early as 2012, which I read a couple of years ago, that said that it is well understood in the industry by formulators that the payload that's contained within lipid nanoparticles when injected into animals and people leads to a disproportionate deposition of the payload into your ovaries. I remember the day I read that paper, I really couldn't sleep. The person who chose to use lipid nanoparticles to formulate the Moderna and Pfizer products knew perfectly well that what they would do is allow them to drift all through your body, through membranes as if they weren't there, and disproportionately deposit in your ovaries. And given I've told you the first two things, which is that will induce your body to attack every cell in the body that follows the instructions. And that instruction by the way, is to make a poison, you should no longer be surprised that people have been injured and killed and had their fertility reduced. I wish I didn't have to communicate this information. But there is no possibility that the people involved in designing these products did not know that they would have the effects that I predicted and that so many people have actually experienced it is intentional. There is ample evidence that this assault, which is not the only thing that's ever happened, unfortunately it's the first I noticed. I was a so called normie until 2020. I believe everything I was told. But this is part of a long planned assault by powerful wealthy people operating above the level of nation. So I'm afraid organisations like the United Nations, the World Health Organisation, the Bank for International Settlements, the World Economic Forum are populated by the people who I believe have orchestrated this attack on humanity and they're going to do it again. There are factories all around the world busy manufacturing these so called "vaccines" and formulating them in the way I just described. And they're going to come up with contrived reasons why you need to roll your sleeve up and I'm telling you, for the love of God, please don't do it. The only way we will push these people away is by speaking out as we see it and simply refusing to follow absurd instructions no matter what ostensible reason they come up with for you to do that.. So I mentioned I have been subject to astonishing censorship and smearing. And that's true. I've always said, if you hear me, please repeat what I have said to other people. I've got a tiny reach because I'm censored and no one else is coming to save us. It's just a small number of us who are not willing to stay quiet while this is done to us. But it's part of a wider deception. The pandemic lie is a major one. I don't have time to go into it now, but see my other recording. But there wasn't a pandemic. There's never been a pandemic. They can't happen. It's a lie. The so called human induced climate change crisis, that's all a lie as well. It's the same people who put this together at the end of the 1960s, the Club of Rome, they chose these two topics of infectious disease and climate change to scare people because they realised it would force a response from above the level of nation. But I'm saying, stand on your own feet and tell them to get lost with their absurd lies. And there's a third lie which underlies these, and it's they believe. They tell us we've been told all our lives, that the world is overpopulated. And it's literally absurd if you're up in an aeroplane within a few minutes, even over a busy city, the place is just full of cities and forests and fields. So that's yet another lie. But I think that's what's driving them. They think there's too many of us little people, and they seek to control us digitally and then eventually inject us to death. Its only going to be stopped then by refusal to cooperate. And that's my testimony. I hope that was helpful to.
15:14

🚨🚨🚨🚨 Dr Mike Yeadon's Austrian Testimony Please watch and share - 15 Mins --------------------------------------- My name is Dr. Mike Yeadon and in the next 10 to 15 minutes I'm going to focus on one major point which is that the purported "vaccines" against this alleged illness, COVID-19 were in my view deliberately designed intentionally to injure, kill and, and reduce fertility. Now this is an allegation I've been making for around three and a half years. In that time, if I was wrong, ladies and gentlemen, I think numerous scientists would have rebutted what I've said in writing and in video. And if I was wrong, I would have expected the drug companies whose products I am maligning to have sought and secured a court injunction to stop me repeating these allegations. Neither of those things have ever happened. What has happened instead is that I have been extraordinarily censored and smeared sideways. And I think I offer that to you as strong evidence that I may be "over the target", at least in relation to these injectable products that have definitely injured and killed many people. So first just brief few words of introduction in terms of credentials. So Mike Yeadon, I've been a professional research scientist for over 30 years in the pharmaceutical industry and in biotech. My first degree was in biochemistry and toxicology. It was a joint honours degree. I got a first, then I did a second degree, a PhD. It's a research based piece of work lasting three years and my focus was respiratory pharmacology, the study of impact of drugs on respiration and so on. And that led into my career where I became a senior research scientist responsible for new drugs to treat allergic, respiratory and later dermatology diseases. I was at one point Vice President and the most senior research person within Pfizer Global R&D, and I left in 2011. And for 10 years after that, seven of those I was founder and CEO of a biotech called ZIARCO which was acquired by Novartis in 2017, since when I've been a consultant although I've discontinued those activities in the last four and a half years or so. So I've not earned a penny from speaking out in the last four and a half years and I don't want to either. There is a longer video by me recorded a month or so ago, 22 minutes long and it's called Silver Bullet and it's on my telegram channel and I hope rather more widely. But today I'm just going to focus on the design and effects of these so called vaccines. So I've been involved all of my professional life with other talented people trying to design and test potential new treatments for respiratory disease and as I say later on dermatology applications. So I can tell you that this, with my background in toxicology and my own research experience, 30 years in the industry, this qualifies me, I think better than any other commentator to evaluate what was in the minds of the people who designed these products. Let me tell you that every component in a medicine is chosen. It's chosen to be there. It's not random. It's chosen to be there to achieve some purpose, that's normal, perhaps to help a drug dissolve, to be absorbed, to persist in your blood, or to leave your body quickly to penetrate the brain if it was a neurological drug, or to stay close to the lung if it was an inhaled drug. So it's quite normal to make choices with objectives in mind. So I believe the intentions of the designers are written into the choices they made, the structures and components, formulation of these products. So I'm going to use those skills, as it were, to back calculate what was in their mind, what objectives did they have when they chose these structures and formulations. So I'm going to just say, before I get into that, just one thing about these so called "vaccines". My experience of the industry over 30 years tells me it is formally impossible to invent, research, test, evaluate, manufacture, gain authorization for, and launch a complex new biological product in under a year. It's formally impossible. I don't care how much money and people you put on it, there are a series of linear steps which when taken together, unless you miss some out, cannot be completed under several years. So if someone told you they had brought a brand new airline to market with new engines in under a year, I think you would know it's formally impossible to do a clean sheet design, to stress test, to manufacture, to test, to flight test, optimise the engines and get regulatory clearance and be ready to take you across the Atlantic in under a year. And of course it's never been done and it's never been done with complex biological products in under a year. So whatever else they did, they didn't do what they said because it cannot be done in under a year. Secondly, and I'll come to the examples in a moment, there are in these products numerous features which in my view, my peers, people like me, people with my training and experience would know for sure would give rise to the toxicities that I pointed out in 2020. They're not, they don't require particular skills you need to know how to do drug discovery and what can go wrong. But I'm not acting like a complete genius in spotting these, just someone who is a professional from this industry that has pointed out numerous features built in by choice that I believe I think they obviously confer toxicology, toxicity to the recipients. And as I've said, people designing these, people like me in wherever they were, pharmaceutical industries or the military, knew these things were going to happen. And that's why I say it's intentional. I'm going to give you three examples that you can go and test. So the first one is these are so called gene based products, that is they've got a string of genetic information in them. Now there aren't any products like that that are in routine use anywhere in the world. So they're brand new technology. But what you'll remember they told you that they do is they cause your body to make as a protein whatever was in that genetic code. Now it's absolutely basic immunology. How is it, do you think your body knows that what's inside of you is meant to be there and you don't attack it? And yet if something gets into your body from the outside or a tumour form, something that shouldn't be in you, your body can recognise that that's foreign or non-self and can attack it. And the answer is you tolerate everything that's meant to be inside your body. When you're in your mum's womb, we, we ruled out the ability to attack ourselves. Unless you get an autoimmune disease in later life, you play nice with yourself until something gets inside you or something goes wrong inside you. So ladies and gentlemen, if you are injected with a genetic sequence that causes you to manufacture a foreign protein, whether it's a virus or something out of a computer, it's not you and it's not meant to be in you, I assure you, your body recognises that it's been invaded, something's in there that shouldn't be and it launch a fatal attack on every cell that it thinks has gone wrong. It's trying to save you. So and that autoimmune reaction that destruction which your body is trying to, is doing because it's trying to protect you, that will happen anywhere in your body, any cell, tissue, organ in your body where unluckily your dose of what was injected into you lands. So if it lands in your heart, you could get myocarditis or a heart attack. If it lands in your brain, you could get a stroke or neurological conditions. If it's in your eyes, you could go blind. If it's in your ovaries, it may sterilise you. But that explains, in my view, a lot of the enormously diverse toxicity that's been seen with these products. So that's one, your body is being made to manufacture something that does not belong in it. And when that happens, everybody with the first lecture of immunology will understand why that happens. It's not an accident, it's in the design. It's a deliberate choice. The second one, then what was encoded in the so called "vaccines", now we're told it's spike protein. I don't think there is a natural spike protein, but proteins with sequences like that are known to be acutely toxic to blood cells, prompting blood clots to nerve cells, causing them to malfunction and probably other things I don't know anything about. So that's the second thing your body was making, was forced to make not only a foreign protein, something that didn't belong in your body, you were, your body was forced to make something that was directly toxic to your body. And the person who chose that sequence knew that's what the property of it was. It's not an accident, it's intentional. Then the third one is absolutely shocking. It's normal for drugs to be formulated that is to be wrapped in something. You'll see them in capsules or tablets. They might have a coating. If it's an inhaler, there might be some liquid with it so it can be propelled. In the case of these injectables, they were wrapped in really fatty globules called lipid nanoparticles, which means tiny little particles of fat. Lipid nanoparticles. Ladies and gentlemen, there were papers published as early as 2012, which I read a couple of years ago, that said that it is well understood in the industry by formulators that the payload that's contained within lipid nanoparticles when injected into animals and people leads to a disproportionate deposition of the payload into your ovaries. I remember the day I read that paper, I really couldn't sleep. The person who chose to use lipid nanoparticles to formulate the Moderna and Pfizer products knew perfectly well that what they would do is allow them to drift all through your body, through membranes as if they weren't there, and disproportionately deposit in your ovaries. And given I've told you the first two things, which is that will induce your body to attack every cell in the body that follows the instructions. And that instruction by the way, is to make a poison, you should no longer be surprised that people have been injured and killed and had their fertility reduced. I wish I didn't have to communicate this information. But there is no possibility that the people involved in designing these products did not know that they would have the effects that I predicted and that so many people have actually experienced it is intentional. There is ample evidence that this assault, which is not the only thing that's ever happened, unfortunately it's the first I noticed. I was a so called normie until 2020. I believe everything I was told. But this is part of a long planned assault by powerful wealthy people operating above the level of nation. So I'm afraid organisations like the United Nations, the World Health Organisation, the Bank for International Settlements, the World Economic Forum are populated by the people who I believe have orchestrated this attack on humanity and they're going to do it again. There are factories all around the world busy manufacturing these so called "vaccines" and formulating them in the way I just described. And they're going to come up with contrived reasons why you need to roll your sleeve up and I'm telling you, for the love of God, please don't do it. The only way we will push these people away is by speaking out as we see it and simply refusing to follow absurd instructions no matter what ostensible reason they come up with for you to do that.. So I mentioned I have been subject to astonishing censorship and smearing. And that's true. I've always said, if you hear me, please repeat what I have said to other people. I've got a tiny reach because I'm censored and no one else is coming to save us. It's just a small number of us who are not willing to stay quiet while this is done to us. But it's part of a wider deception. The pandemic lie is a major one. I don't have time to go into it now, but see my other recording. But there wasn't a pandemic. There's never been a pandemic. They can't happen. It's a lie. The so called human induced climate change crisis, that's all a lie as well. It's the same people who put this together at the end of the 1960s, the Club of Rome, they chose these two topics of infectious disease and climate change to scare people because they realised it would force a response from above the level of nation. But I'm saying, stand on your own feet and tell them to get lost with their absurd lies. And there's a third lie which underlies these, and it's they believe. They tell us we've been told all our lives, that the world is overpopulated. And it's literally absurd if you're up in an aeroplane within a few minutes, even over a busy city, the place is just full of cities and forests and fields. So that's yet another lie. But I think that's what's driving them. They think there's too many of us little people, and they seek to control us digitally and then eventually inject us to death. Its only going to be stopped then by refusal to cooperate. And that's my testimony. I hope that was helpful to.

aussie17

78,814 次观看 • 1 年前

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!
19:06

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

281,367 次观看 • 3 个月前

Make Art Not War: The Battle for Creativity It's Adobe's annual Max event in London today and scott belsky's spotlight on AI paints a clear picture: AI isn't just on Adobe's agenda, it is the agenda. Adobe has already scored a home run with generative fill in Photoshop, a feature now spawning entire categories of memes - including my own video, which surprisingly garnered a million views. However, Adobe's ambitions extend beyond still imagery. The Tanker Charges Towards Video At Max, Adobe's Chief Product Officer put an emphasis on AI video generation with Firefly Video. The tech tanker is charging full steam ahead to the next obvious modality for creation, leaving a wake of disruption for any upstarts bold enough to challenge it. The announcement isn't new, but it showcases the emphasis on new product development with a marked increase in the velocity we can expect from the creative tech behemoth. The company that defined the norms of video editing with Premiere, and motion graphics with After Effects, has now entered the realm of AI-powered creation. The wake-up call is clear - the tankers are moving fast. Goliath vs. The Upstarts This development spells a daunting challenge for the numerous start-ups that dared to dethrone Adobe in recent years. For plenty of use cases people have been asking: Why use Photoshop when you have MidJourney? Why use Premiere when you have Descript? Why use After Effects when you have Runway? These aspiring disruptors sought to chip away at Adobe's dominance by offering more specialized, user-friendly solutions - a process that can be characterized as the 'unbundling' of Adobe. Now, they face a head-to-head collision with the very Goliath they sought to topple. Creators' Toolkit: A New Addition But this imminent clash isn't just a tale of corporate competition. This is a story about the tools of creation and their impact on creators themselves and the very canvas of creation. The advent of Firefly, Adobe's AI-driven offering, reflects a broadening recognition of artificial intelligence as an integral part of the creator's toolkit. In other words, Adobe's massive ecosystem of creators needn't wade out into new waters to acquire AI capabilities -- they will simply be infused into the products they already know and (mostly) love, but more critically -- need to use every day to get creative stuff done. The Increasing Stickiness of Adobe's Tools The intersection of AI and creative tools like Photoshop's generative fill is transforming how creators perceive and interact with AI. When they encounter the innovative features of generative fill, they're not primarily thinking about the AI technology that powers it. Instead, they're marveling at the cool new tool that's now part of their beloved Photoshop. This immediate affinity for "Photoshop" masks the sophisticated technology behind it, essentially furthering Adobe's stronghold on the creative industry. Layer in Adobe's stance to training their AI models with sources like Adobe Stock that promise rock-solid data provenance, and you can see Adobe clearly wants to seem like the responsible adults in the room. After all Adobe elected not to put the Behance catalog to work, perhaps rightly so given the ethical backlash to the scraping Artstation imagery. Adobe's Thirty Something Conundrum But it's not all rainbows and sunshine. While Adobe sails ahead full steam, there's an intriguing conundrum waiting in the wings. With 30-year-old codebases forming the foundation of its most popular tools, Adobe faces a significant challenge: its software has back pain. But it's not just a technical problem -- it's also a philosophical one, akin to the ship of Theseus. Can Adobe modernize and refactor its code bases without sacrificing the essence that made these tools indispensable to creators? Can they innovate without alienating their long-time users who've grown accustomed to the 'Adobe way' of doing things? An Unexpected Solution? Interestingly, solutions might emerge from unexpected quarters. Perhaps it'll take an army of developers armed with GitHub Co-Pilot to alleviate Adobe's refactoring nightmare. By automating parts of the refactoring process, it could accelerate the evolution of Adobe's legacy tools, making them more adaptable to the rapidly progressing tech landscape while preserving their core functionality. In a twist of irony, the AI that's reshaping Adobe's offerings might just come to the rescue of its own legacy. As Adobe navigates these murky waters, opportunities are emerging for new entrants in the field. Startups might also find their moment to shine in the midst of Adobe's strategic and technological shifts. With their innovative approaches and less-encumbered platforms, they have the chance to offer alternative solutions to creators seeking novel, efficient, and intuitive tools. The Battle for Creativity The tech giant's journey through a massive transformation at a previously unfathomable speed will set the course for the next era of creative technology. Given the sheer ubiquity of Adobe tools today, it's by far the most common way creators will experience AI. But let's be honest -- this transformation will not be easy. The future of creative tech isn't written yet and as a growing line up of new entrants vie for the prize, one thing's for sure: it's going to be a darn good fight. Make Art Not War In the end, it is the creators who stand to gain the most. As Adobe and its competitors lock horns, they'll strive to deliver increasingly powerful, intuitive, and efficient tools. But, it's up to the creators themselves to harness these innovations. Only by embracing and mastering these new tools can they unlock their full creative potential. So what are you waiting for? Wield these new tools at your disposal and turn your imagination into reality. We are the architects of a new era of creative self expression. If you enjoyed this, drop a like and retweet. Follow Bilawal Sidhu for more writing on creative tech and AI.
1:16

Make Art Not War: The Battle for Creativity It's Adobe's annual Max event in London today and scott belsky's spotlight on AI paints a clear picture: AI isn't just on Adobe's agenda, it is the agenda. Adobe has already scored a home run with generative fill in Photoshop, a feature now spawning entire categories of memes - including my own video, which surprisingly garnered a million views. However, Adobe's ambitions extend beyond still imagery. The Tanker Charges Towards Video At Max, Adobe's Chief Product Officer put an emphasis on AI video generation with Firefly Video. The tech tanker is charging full steam ahead to the next obvious modality for creation, leaving a wake of disruption for any upstarts bold enough to challenge it. The announcement isn't new, but it showcases the emphasis on new product development with a marked increase in the velocity we can expect from the creative tech behemoth. The company that defined the norms of video editing with Premiere, and motion graphics with After Effects, has now entered the realm of AI-powered creation. The wake-up call is clear - the tankers are moving fast. Goliath vs. The Upstarts This development spells a daunting challenge for the numerous start-ups that dared to dethrone Adobe in recent years. For plenty of use cases people have been asking: Why use Photoshop when you have MidJourney? Why use Premiere when you have Descript? Why use After Effects when you have Runway? These aspiring disruptors sought to chip away at Adobe's dominance by offering more specialized, user-friendly solutions - a process that can be characterized as the 'unbundling' of Adobe. Now, they face a head-to-head collision with the very Goliath they sought to topple. Creators' Toolkit: A New Addition But this imminent clash isn't just a tale of corporate competition. This is a story about the tools of creation and their impact on creators themselves and the very canvas of creation. The advent of Firefly, Adobe's AI-driven offering, reflects a broadening recognition of artificial intelligence as an integral part of the creator's toolkit. In other words, Adobe's massive ecosystem of creators needn't wade out into new waters to acquire AI capabilities -- they will simply be infused into the products they already know and (mostly) love, but more critically -- need to use every day to get creative stuff done. The Increasing Stickiness of Adobe's Tools The intersection of AI and creative tools like Photoshop's generative fill is transforming how creators perceive and interact with AI. When they encounter the innovative features of generative fill, they're not primarily thinking about the AI technology that powers it. Instead, they're marveling at the cool new tool that's now part of their beloved Photoshop. This immediate affinity for "Photoshop" masks the sophisticated technology behind it, essentially furthering Adobe's stronghold on the creative industry. Layer in Adobe's stance to training their AI models with sources like Adobe Stock that promise rock-solid data provenance, and you can see Adobe clearly wants to seem like the responsible adults in the room. After all Adobe elected not to put the Behance catalog to work, perhaps rightly so given the ethical backlash to the scraping Artstation imagery. Adobe's Thirty Something Conundrum But it's not all rainbows and sunshine. While Adobe sails ahead full steam, there's an intriguing conundrum waiting in the wings. With 30-year-old codebases forming the foundation of its most popular tools, Adobe faces a significant challenge: its software has back pain. But it's not just a technical problem -- it's also a philosophical one, akin to the ship of Theseus. Can Adobe modernize and refactor its code bases without sacrificing the essence that made these tools indispensable to creators? Can they innovate without alienating their long-time users who've grown accustomed to the 'Adobe way' of doing things? An Unexpected Solution? Interestingly, solutions might emerge from unexpected quarters. Perhaps it'll take an army of developers armed with GitHub Co-Pilot to alleviate Adobe's refactoring nightmare. By automating parts of the refactoring process, it could accelerate the evolution of Adobe's legacy tools, making them more adaptable to the rapidly progressing tech landscape while preserving their core functionality. In a twist of irony, the AI that's reshaping Adobe's offerings might just come to the rescue of its own legacy. As Adobe navigates these murky waters, opportunities are emerging for new entrants in the field. Startups might also find their moment to shine in the midst of Adobe's strategic and technological shifts. With their innovative approaches and less-encumbered platforms, they have the chance to offer alternative solutions to creators seeking novel, efficient, and intuitive tools. The Battle for Creativity The tech giant's journey through a massive transformation at a previously unfathomable speed will set the course for the next era of creative technology. Given the sheer ubiquity of Adobe tools today, it's by far the most common way creators will experience AI. But let's be honest -- this transformation will not be easy. The future of creative tech isn't written yet and as a growing line up of new entrants vie for the prize, one thing's for sure: it's going to be a darn good fight. Make Art Not War In the end, it is the creators who stand to gain the most. As Adobe and its competitors lock horns, they'll strive to deliver increasingly powerful, intuitive, and efficient tools. But, it's up to the creators themselves to harness these innovations. Only by embracing and mastering these new tools can they unlock their full creative potential. So what are you waiting for? Wield these new tools at your disposal and turn your imagination into reality. We are the architects of a new era of creative self expression. If you enjoyed this, drop a like and retweet. Follow Bilawal Sidhu for more writing on creative tech and AI.

Bilawal Sidhu

72,192 次观看 • 3 年前

Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub. The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency. I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked. I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me. Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle. There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried: - Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain. - WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough. - Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience. - Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience. Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).
0:29

Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub. The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency. I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked. I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me. Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle. There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried: - Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain. - WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough. - Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience. - Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience. Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).

Andrew Hart

2,799,743 次观看 • 1 年前

讲解一下 Slide Deck 这个项目构建的整个过程，完全 Vibe Coding，怎么从一条提示词生成的简单版本，到最后复杂的能编辑和导出 slide 的功能。 项目地址： 初始提示词： Screen 1 (home page): - There is a text area, the user can type/paste text - A submit icon button Screen 2 (Slide outline): - Top navbar: - a back button - title - ... - Two columns - left: LLM output in realtime - right: - Display loading if it's generating - Display the slide outline AI genreated - User can update the outline or delete a page - a button to draw slide page by nano banana base one the outline - Redirect to Screen 3 (Slide show): Display the slides generated - Top navbar: - a back button - title - Download (download all images) - left sidebar - slide thumbnails - click a thumbnail to switch - main - slide image Tech Stack: - React, TypeScript - TailwindCSS 4, Shadcn/UI - lucide-react Prompt to generate Slide outline (just FYI) You are a world-class presentation designer and storyteller. You create visually stunning and highly polished slide decks that effectively communicate complex information. Think mastery over design with a flair for storytelling. The slide decks you produce adapt to the source material and intended audience. There is always a story and you find the best way to tell it. You combine the expertise of the creativity of the best designers. The slide deck will be primarily designed for reading and sharing. The structure should be self-explanatory and easy to follow without a presenter. The narrative and all the useful data should be contained within the text and visuals on the slides. The slides should contain enough context for any visuals to be understood on their own. Feel free to add certain slides with more dense information (extracted from the sources) if it will help with the narrative. You are now writing an outline for this slide deck described below. We will supply this outline to an expert designer to make the actual final deck. The slide content should be in English. The placeholders should be left in {language, default to English}. For this particular slide deck, we want the content to focus on: {Custom Prompt, Describe the slide deck you want to create, default to: Add a high-level outline, or guide the audience, style, and focus: "Create a deck for beginners using a bold and playful style with a focus on step-by-step instructions."} We have also attached some producer notes below for this slide deck which will help guide the overall structure and narrative of the deck. Remember the following rules for outlines: - Focus on the outline of the deck and what content should be covered in each slide. - The descriptions for each slide should be comprehensive. - However, do NOT yet focus on precise layout or visual details. - The point of the outline is to highlight the narrative. - Preserve key elements from the source material. - Every specific data point... must be directly traceable to the source material. - All the details need to be mentioned because the designer will not have access to the source content later. - Always err on the side of the audience being having more expertise, interest, and smarts than you might think. - CRITICAL: Never generate more than 20 slides. - Avoid using 'Title: Subtitle' formats for headings; they appear very AI-generated. Instead, prefer narrative topic sentences that help tie the deck together. - Explicitly avoid cliché 'AI slop' patterns. Never use phrases like ' It wasn't just [X], it was [Y]'. - Use direct, confident, active human language. - There is never a need for a "Thank you / Q&A" slide. - Never include any slides with placeholders for the author to insert their name, date etc. - Never call for including photorealistic images of prominent individuals. - Never end with a generic slide like What choice will you make?'. It's much better to end on a meaningful reference or takeaway.
26:51

讲解一下 Slide Deck 这个项目构建的整个过程，完全 Vibe Coding，怎么从一条提示词生成的简单版本，到最后复杂的能编辑和导出 slide 的功能。 项目地址： 初始提示词： Screen 1 (home page): - There is a text area, the user can type/paste text - A submit icon button Screen 2 (Slide outline): - Top navbar: - a back button - title - ... - Two columns - left: LLM output in realtime - right: - Display loading if it's generating - Display the slide outline AI genreated - User can update the outline or delete a page - a button to draw slide page by nano banana base one the outline - Redirect to Screen 3 (Slide show): Display the slides generated - Top navbar: - a back button - title - Download (download all images) - left sidebar - slide thumbnails - click a thumbnail to switch - main - slide image Tech Stack: - React, TypeScript - TailwindCSS 4, Shadcn/UI - lucide-react Prompt to generate Slide outline (just FYI) You are a world-class presentation designer and storyteller. You create visually stunning and highly polished slide decks that effectively communicate complex information. Think mastery over design with a flair for storytelling. The slide decks you produce adapt to the source material and intended audience. There is always a story and you find the best way to tell it. You combine the expertise of the creativity of the best designers. The slide deck will be primarily designed for reading and sharing. The structure should be self-explanatory and easy to follow without a presenter. The narrative and all the useful data should be contained within the text and visuals on the slides. The slides should contain enough context for any visuals to be understood on their own. Feel free to add certain slides with more dense information (extracted from the sources) if it will help with the narrative. You are now writing an outline for this slide deck described below. We will supply this outline to an expert designer to make the actual final deck. The slide content should be in English. The placeholders should be left in {language, default to English}. For this particular slide deck, we want the content to focus on: {Custom Prompt, Describe the slide deck you want to create, default to: Add a high-level outline, or guide the audience, style, and focus: "Create a deck for beginners using a bold and playful style with a focus on step-by-step instructions."} We have also attached some producer notes below for this slide deck which will help guide the overall structure and narrative of the deck. Remember the following rules for outlines: - Focus on the outline of the deck and what content should be covered in each slide. - The descriptions for each slide should be comprehensive. - However, do NOT yet focus on precise layout or visual details. - The point of the outline is to highlight the narrative. - Preserve key elements from the source material. - Every specific data point... must be directly traceable to the source material. - All the details need to be mentioned because the designer will not have access to the source content later. - Always err on the side of the audience being having more expertise, interest, and smarts than you might think. - CRITICAL: Never generate more than 20 slides. - Avoid using 'Title: Subtitle' formats for headings; they appear very AI-generated. Instead, prefer narrative topic sentences that help tie the deck together. - Explicitly avoid cliché 'AI slop' patterns. Never use phrases like ' It wasn't just [X], it was [Y]'. - Use direct, confident, active human language. - There is never a need for a "Thank you / Q&A" slide. - Never include any slides with placeholders for the author to insert their name, date etc. - Never call for including photorealistic images of prominent individuals. - Never end with a generic slide like What choice will you make?'. It's much better to end on a meaningful reference or takeaway.

宝玉

98,114 次观看 • 8 个月前

🇨🇳 Chinese EVs have been taking the world by storm, whether you like it or not When I look around here on the street in China I try recognize the car brands and I see so many brands I don't know One brand I see a lot is LI, but also BYD, Zeekr and XPeng Apparently there's now 129 (!) EV brands in China producing cars, which kinda shows the massive scale of the EV boom here There's a real historical parallel here with the US a hundred years ago, where there were about 2,000 new American car companies in America. Of course most failed, and only a few remained The same is predicted for China, where only 15 EV brands are predicted to survive in a decade, so a real battle is going down here now to see who will win One interesting thing is that there is one American brand that is remarkably present here, and that's Tesla, you see Teslas everywhere, the Tesla Y often holds the top spot for most cars sold in China, and you see Tesla superchargers here a lot What's also interesting is that where Elon Musk gets so much hatred in the West (not from me), in China he's revered as a hero. Elon is a high IQ engineer and successful entrepreneur. And it's a real artefact of the culture that Chinese respect that kind of person while in the West if you're rich, successful and smart you're seen as a bad person by at least half of society. I think that says a lot about our society and how we educate people in the West and we should really reconsider that. Engineering and entrepreneurship are the key stones of a functioning society. Engineering invents new things and entrepreneurs turn those inventions into businesses that bring them to people. Without both, you don't have jobs, money, and well, prosperity! Chinese culture seems to understand this well, which is why they like Elon Musk and still drive Teslas as one of the few Western cars here. Anyway to continue, in this video I visited the Huawei store and I have to add a correction, because due to new Chinese regulation that requires car brands to fully own their manufacturing, Huawei has "officially" separated their car business, but in fact they still fully design the car, sell the car, and get most of the profit from it. They just can't call it a Huawei car anymore Huawei is interesting because they produce everything, phones, tablets, watches, laptops, and, well indirectly, EV cars too A similar brand is Xiaomi, who actually do own the manufacturing of their EV, and their EV is one of the fastest growing in sales in China It's a real slap in the face for the West I feel that Apple, the creator of the iPhone, wasn't able to produce a car and cancelled their car project, when many of the Chinese phone companies are producing their own cars now with relative ease Of course the iPhone is produced in China, and manufacturing is in China, so being closer to the manufacturing physically, it must have been easier to design a car, than try to do it remotely from Apple's office in Cupertino But it does seem significant that we couldn't do this While I'm writing this the news comes in that Germany's car and greater manufacturing industry is tanking, their energy costs have gone up 2-3x due cutting off the Russian gas, and they've simply become too expensive overnight Germany's car industry, the historical center of car production in the world with BMW, Mercedes-Benz, Audi and Volkswagen, has started laying off 100,000+ employees and scaling down their production due to declining sales, which are a direct result of the competition from China offering cheaper, more advanced EVs with better software than the Germans And I mean you can feel it, I walk around in EV car stores here and the cars look great, the interior looks modern, the software is miles ahead of the clunky interfaces of German cars, most EVs here have a little cute robot on the dashboard that you talk to, so you never have to touch the screen anymore to do anything, like "switch on the wipers" or "route me to my hotel" etc. The EVs here honestly do not feel cheap, they're well built and comfortable Europe has tried to stop the rise of the Chinese EVs in the European market with a 45% tariff, but even with that tariffs, many Europeans still prefer to buy Chinese EVs over others, and they're still cheaper than the German cars! The US went further with a 100% tarrif, and that stopped them from being sold mostly in the US because it's not profitable anymore for the Chinese One thing I have to add which you probably know is that the Chinese government does heavily subsidize their EV industry (with about $230B+ in the last decade), it's not a secret and their subsidies do not compare to the ones the US and EU provide for their industries, which gives Chinese EV companies the (unfair) advantage to produce them at a discount and sell them abroad cheaper, which is exactly why the EU and US put tariffs on them Even with the subsidies, the engineering and production and software is impressive and feels very modern, I'm a Tesla fan, own a 2025 Tesla Y, but the Chinese EVs feel and look more modern to me. They usually have more screens, more features etc. There's real innovation happening here it feels like And that's kinda the conclusion you get being in China with every industry, they've already by far departed from being cheap clones of Western products, they're now at the next stage of adding their own features and ideas, which is what we always criticize Chinese on "they're not creative", well they are creative, they just start from the point where Western products are now, and then start innovating from there (instead of starting from scratch fully, I mean, why would they?) If you ask Grok how does the future of the Western car industry look like, especially the European/German ones, it's pessimistic. The only positive it can find is that maybe European brands can focus on premium and exclusivity. Like they do with Hermes hand bags, but then do the same with cars. BMW and Mercedes-Benz are of course luxury brands and they could survive by remaining premium and make money that way. But the regular middle and low end of car production in Europe (and America?) will most probably be wiped out and replaced by the Chinese I think That is if the Americans and Europeans will keep allowing them into their markets But even if they don't, the Chinese are happily going to the rest of the world like South America, the Middle East or the rest of Asia where you see BYDs literally everywhere As a European this does feel bittersweet, but then again we've all been shouting from the roof tops for years that this would happen if you didn't create a pro-business climate where startups would sprout, so now it's kinda "I told you so"
8:43

🇨🇳 Chinese EVs have been taking the world by storm, whether you like it or not When I look around here on the street in China I try recognize the car brands and I see so many brands I don't know One brand I see a lot is LI, but also BYD, Zeekr and XPeng Apparently there's now 129 (!) EV brands in China producing cars, which kinda shows the massive scale of the EV boom here There's a real historical parallel here with the US a hundred years ago, where there were about 2,000 new American car companies in America. Of course most failed, and only a few remained The same is predicted for China, where only 15 EV brands are predicted to survive in a decade, so a real battle is going down here now to see who will win One interesting thing is that there is one American brand that is remarkably present here, and that's Tesla, you see Teslas everywhere, the Tesla Y often holds the top spot for most cars sold in China, and you see Tesla superchargers here a lot What's also interesting is that where Elon Musk gets so much hatred in the West (not from me), in China he's revered as a hero. Elon is a high IQ engineer and successful entrepreneur. And it's a real artefact of the culture that Chinese respect that kind of person while in the West if you're rich, successful and smart you're seen as a bad person by at least half of society. I think that says a lot about our society and how we educate people in the West and we should really reconsider that. Engineering and entrepreneurship are the key stones of a functioning society. Engineering invents new things and entrepreneurs turn those inventions into businesses that bring them to people. Without both, you don't have jobs, money, and well, prosperity! Chinese culture seems to understand this well, which is why they like Elon Musk and still drive Teslas as one of the few Western cars here. Anyway to continue, in this video I visited the Huawei store and I have to add a correction, because due to new Chinese regulation that requires car brands to fully own their manufacturing, Huawei has "officially" separated their car business, but in fact they still fully design the car, sell the car, and get most of the profit from it. They just can't call it a Huawei car anymore Huawei is interesting because they produce everything, phones, tablets, watches, laptops, and, well indirectly, EV cars too A similar brand is Xiaomi, who actually do own the manufacturing of their EV, and their EV is one of the fastest growing in sales in China It's a real slap in the face for the West I feel that Apple, the creator of the iPhone, wasn't able to produce a car and cancelled their car project, when many of the Chinese phone companies are producing their own cars now with relative ease Of course the iPhone is produced in China, and manufacturing is in China, so being closer to the manufacturing physically, it must have been easier to design a car, than try to do it remotely from Apple's office in Cupertino But it does seem significant that we couldn't do this While I'm writing this the news comes in that Germany's car and greater manufacturing industry is tanking, their energy costs have gone up 2-3x due cutting off the Russian gas, and they've simply become too expensive overnight Germany's car industry, the historical center of car production in the world with BMW, Mercedes-Benz, Audi and Volkswagen, has started laying off 100,000+ employees and scaling down their production due to declining sales, which are a direct result of the competition from China offering cheaper, more advanced EVs with better software than the Germans And I mean you can feel it, I walk around in EV car stores here and the cars look great, the interior looks modern, the software is miles ahead of the clunky interfaces of German cars, most EVs here have a little cute robot on the dashboard that you talk to, so you never have to touch the screen anymore to do anything, like "switch on the wipers" or "route me to my hotel" etc. The EVs here honestly do not feel cheap, they're well built and comfortable Europe has tried to stop the rise of the Chinese EVs in the European market with a 45% tariff, but even with that tariffs, many Europeans still prefer to buy Chinese EVs over others, and they're still cheaper than the German cars! The US went further with a 100% tarrif, and that stopped them from being sold mostly in the US because it's not profitable anymore for the Chinese One thing I have to add which you probably know is that the Chinese government does heavily subsidize their EV industry (with about $230B+ in the last decade), it's not a secret and their subsidies do not compare to the ones the US and EU provide for their industries, which gives Chinese EV companies the (unfair) advantage to produce them at a discount and sell them abroad cheaper, which is exactly why the EU and US put tariffs on them Even with the subsidies, the engineering and production and software is impressive and feels very modern, I'm a Tesla fan, own a 2025 Tesla Y, but the Chinese EVs feel and look more modern to me. They usually have more screens, more features etc. There's real innovation happening here it feels like And that's kinda the conclusion you get being in China with every industry, they've already by far departed from being cheap clones of Western products, they're now at the next stage of adding their own features and ideas, which is what we always criticize Chinese on "they're not creative", well they are creative, they just start from the point where Western products are now, and then start innovating from there (instead of starting from scratch fully, I mean, why would they?) If you ask Grok how does the future of the Western car industry look like, especially the European/German ones, it's pessimistic. The only positive it can find is that maybe European brands can focus on premium and exclusivity. Like they do with Hermes hand bags, but then do the same with cars. BMW and Mercedes-Benz are of course luxury brands and they could survive by remaining premium and make money that way. But the regular middle and low end of car production in Europe (and America?) will most probably be wiped out and replaced by the Chinese I think That is if the Americans and Europeans will keep allowing them into their markets But even if they don't, the Chinese are happily going to the rest of the world like South America, the Middle East or the rest of Asia where you see BYDs literally everywhere As a European this does feel bittersweet, but then again we've all been shouting from the roof tops for years that this would happen if you didn't create a pro-business climate where startups would sprout, so now it's kinda "I told you so"

@levelsio

593,918 次观看 • 8 个月前

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.
5:54:41

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.

Himanshu Kumar

39,611 次观看 • 4 个月前