Загрузка видео...

Не удалось загрузить видео

На главную

Here's wp2shell 🐚 single-file, zero-dependency PoC for the WordPress core pre-auth RCE (CVE-2026-63030 + CVE-2026-60137) one anonymous HTTP request: REST batch route confusion → unauth SQLi → admin hash → shell default install. no plugins. no login. the best of other public PoCs, unified into one file. scanner +...

0xsha's profile picture

0xSha

10,756 subscribers

28,435 просмотров • 18 дней назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🚨 wp2shell : pre-auth RCE in WordPress core, reproduced end-to-end. Nested /batch/v1 "double confusion" · (CVE-2026-63030) → WP_Query SQLi · (CVE-2026-60137) → anonymous shell on a stock install. A couple of prompts later: · Opus 4.8 orchestrating, Sonnet agents executing. Exploit dev has gotten scary easy. Patched in 6.9.5 / 7.0.2 - update now. 👇
0:56

🚨 wp2shell : pre-auth RCE in WordPress core, reproduced end-to-end. Nested /batch/v1 "double confusion" · (CVE-2026-63030) → WP_Query SQLi · (CVE-2026-60137) → anonymous shell on a stock install. A couple of prompts later: · Opus 4.8 orchestrating, Sonnet agents executing. Exploit dev has gotten scary easy. Patched in 6.9.5 / 7.0.2 - update now. 👇

Aseem Shrey

33,300 просмотров • 17 дней назад

Everyone wrote Apple off as the AI loser, but one hardware spec might flip that story upside down (Save this). @jason called Apple a screaming buy on the back of a single chip detail. The rumored M7 Ultra, expected around 2028, is designed to support up to 1.5TB of unified memory, enough to run frontier class trillion parameter AI models locally, with no cloud required. The Street's bear case on Apple is straightforward. Apple has no frontier model of its own, Siri has stumbled for years and the company effectively rents OpenAI's models for its hardest queries. That narrative treats Apple as the one Magnificent Seven name that missed the AI wave entirely but the bull case flips that framing on its head. If frontier AI models keep shrinking and getting cheaper to run, Apple doesn't need the smartest model in the world, it just needs to own the device that model runs on. And unified memory is the mechanism that makes this possible. Unlike traditional systems where the CPU and GPU each need separate memory, Apple's architecture lets the CPU, GPU and Neural Engine draw from one shared pool. A fully specced M7 Ultra could theoretically run something on the scale of a 1.2 trillion parameter model locally and that capability plugs directly into the one advantage Apple has spent over a decade building: privacy. Apple has already shipped Private Cloud Compute, a system designed so even Apple can't access user data processed off device. Apple doubled down on this at WWDC 2026, framing on device privacy as non-negotiable while rivals default to the cloud. If the best AI models get small enough to run on Apple silicon, the moat stops being the model and becomes the hardware it has to sit on. Milk Road Pro remains bullish on Apple and it remains as one of our core positions, if you want the full thesis + our full AI trades, come join us using the link below for just a $1.
2:41

Everyone wrote Apple off as the AI loser, but one hardware spec might flip that story upside down (Save this). @jason called Apple a screaming buy on the back of a single chip detail. The rumored M7 Ultra, expected around 2028, is designed to support up to 1.5TB of unified memory, enough to run frontier class trillion parameter AI models locally, with no cloud required. The Street's bear case on Apple is straightforward. Apple has no frontier model of its own, Siri has stumbled for years and the company effectively rents OpenAI's models for its hardest queries. That narrative treats Apple as the one Magnificent Seven name that missed the AI wave entirely but the bull case flips that framing on its head. If frontier AI models keep shrinking and getting cheaper to run, Apple doesn't need the smartest model in the world, it just needs to own the device that model runs on. And unified memory is the mechanism that makes this possible. Unlike traditional systems where the CPU and GPU each need separate memory, Apple's architecture lets the CPU, GPU and Neural Engine draw from one shared pool. A fully specced M7 Ultra could theoretically run something on the scale of a 1.2 trillion parameter model locally and that capability plugs directly into the one advantage Apple has spent over a decade building: privacy. Apple has already shipped Private Cloud Compute, a system designed so even Apple can't access user data processed off device. Apple doubled down on this at WWDC 2026, framing on device privacy as non-negotiable while rivals default to the cloud. If the best AI models get small enough to run on Apple silicon, the moat stops being the model and becomes the hardware it has to sit on. Milk Road Pro remains bullish on Apple and it remains as one of our core positions, if you want the full thesis + our full AI trades, come join us using the link below for just a $1.

Milk Road AI

37,362 просмотров • 17 дней назад

HERMES AGENT WITHOUT TOOLS IS A CHATBOT. WITH THEM IT BUILDS 3D TOWERS IN BLENDER, CHECKS STOCK PRICES, AND DRIVES VS CODE. tonbi JUST DROPPED THE FULL GUIDE. module 6 of his 10-part Hermes masterclass. best breakdown of the tool layer anyone has published. what you need to know: TOOLS vs SKILLS vs MCP skills = instructions (markdown, loaded into context) tools = callable functions (Python, agent emits call, Hermes executes) MCP = adapters to external systems (Blender, Stripe, Linear, Notion) every tool has three parts: → the function (does the real work) → the schema (what the model sees to decide when to call it) → the registry (makes the tool exist in the agent) the model never runs the function directly. it emits a structured request (tool name + JSON args). Hermes executes and returns the result. if the tool fails, the error goes back as JSON. the agent recovers instead of crashing. TOOL SETS CONTROL THE SURFACE hermes chat --tool-sets web # only web tools loaded. no files, no terminal. hermes chat --tool-sets safe # read-only: web search, vision, image gen. # no file writes. no terminal. no code execution. mid-session: /tools enable video /tools disable terminal or toggle in the dashboard: hermes dashboard → Skills → Tool Sets MCP SERVERS two transport types: STDIO (local subprocess) or HTTP (remote endpoint). add a server: hermes mcp # or ask: "add the MCP server for Blender" filter tools with include/exclude per server. keep only what you trust. security: → OAuth 2.1 PKCE (no long-lived tokens in config) → package scanning via api.osv. dev before launch → all MCP calls go through approval gates HERMES AS MCP SERVER hermes mcp serve exposes 10 tools via FastMCP. connect VS Code Copilot or Cursor to your running Hermes instance. BUILD YOUR OWN TOOL He built a stock price tool live: → Python function calling Finnhub API → schema with name, description, parameters → registered in tool_sets.py → agent calls it automatically when relevant any repeating API call in your workflow can become a native tool. full Hermes architecture deep-dive in the article 👇
26:15

HERMES AGENT WITHOUT TOOLS IS A CHATBOT. WITH THEM IT BUILDS 3D TOWERS IN BLENDER, CHECKS STOCK PRICES, AND DRIVES VS CODE. tonbi JUST DROPPED THE FULL GUIDE. module 6 of his 10-part Hermes masterclass. best breakdown of the tool layer anyone has published. what you need to know: TOOLS vs SKILLS vs MCP skills = instructions (markdown, loaded into context) tools = callable functions (Python, agent emits call, Hermes executes) MCP = adapters to external systems (Blender, Stripe, Linear, Notion) every tool has three parts: → the function (does the real work) → the schema (what the model sees to decide when to call it) → the registry (makes the tool exist in the agent) the model never runs the function directly. it emits a structured request (tool name + JSON args). Hermes executes and returns the result. if the tool fails, the error goes back as JSON. the agent recovers instead of crashing. TOOL SETS CONTROL THE SURFACE hermes chat --tool-sets web # only web tools loaded. no files, no terminal. hermes chat --tool-sets safe # read-only: web search, vision, image gen. # no file writes. no terminal. no code execution. mid-session: /tools enable video /tools disable terminal or toggle in the dashboard: hermes dashboard → Skills → Tool Sets MCP SERVERS two transport types: STDIO (local subprocess) or HTTP (remote endpoint). add a server: hermes mcp # or ask: "add the MCP server for Blender" filter tools with include/exclude per server. keep only what you trust. security: → OAuth 2.1 PKCE (no long-lived tokens in config) → package scanning via api.osv. dev before launch → all MCP calls go through approval gates HERMES AS MCP SERVER hermes mcp serve exposes 10 tools via FastMCP. connect VS Code Copilot or Cursor to your running Hermes instance. BUILD YOUR OWN TOOL He built a stock price tool live: → Python function calling Finnhub API → schema with name, description, parameters → registered in tool_sets.py → agent calls it automatically when relevant any repeating API call in your workflow can become a native tool. full Hermes architecture deep-dive in the article 👇

YanXbt

32,680 просмотров • 1 месяц назад

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.
25:22

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.

Himanshu Kumar

13,599 просмотров • 4 месяцев назад

anthropic's head of product just revealed how they're able to ship faster than any other AI company. their secret: "side quest maxxing." here's how it works: instead of long-term roadmaps, anthropic runs on unplanned afternoon experiments. anyone on the team gets full freedom to spend an afternoon prototyping an idea and show it to the team. you get to skip the approval process entirely. then, employees at anthropic try it. if they keep using it the next day and the day after that, it gets polished into a real feature. if nobody touches it again, it dies. that's the whole process. claude code on desktop started as one engineer's afternoon project. he wanted it to work on desktop so he built a prototype. people on the team started using it immediately. so they shipped it. the todo list feature started the same way. someone built it, the team adopted it internally, and it became one of the most-used parts of the product. plugins started when one engineer shared a spec with claude code and the prototype that came back was close to production-ready. went from idea to working feature in a single session. they also killed standup meetings. instead of telling people what you're working on, you just show a working demo. all walk no talk basically the team structure makes this possible. > designers ship code. > engineers make product decisions. > product managers build prototypes. everyone can take an idea from concept to working demo without waiting on anyone else. the biggest features at a $380b company came from afternoon experiments that nobody asked for. honestly this matches my own experience cooking with ai. some of the best workflows i use every day came from just fucking around. opening a session with zero intention and asking claude what it can do, or jamming on a random idea to see where it goes. if you're only using ai for tasks you already have in mind, you're missing the best part. open a session with no agenda. ask it to surprise you. try building something stupid. half the time it goes nowhere. the other half it becomes the thing you use most. you need to be sidequestmaxxing.
0:30

anthropic's head of product just revealed how they're able to ship faster than any other AI company. their secret: "side quest maxxing." here's how it works: instead of long-term roadmaps, anthropic runs on unplanned afternoon experiments. anyone on the team gets full freedom to spend an afternoon prototyping an idea and show it to the team. you get to skip the approval process entirely. then, employees at anthropic try it. if they keep using it the next day and the day after that, it gets polished into a real feature. if nobody touches it again, it dies. that's the whole process. claude code on desktop started as one engineer's afternoon project. he wanted it to work on desktop so he built a prototype. people on the team started using it immediately. so they shipped it. the todo list feature started the same way. someone built it, the team adopted it internally, and it became one of the most-used parts of the product. plugins started when one engineer shared a spec with claude code and the prototype that came back was close to production-ready. went from idea to working feature in a single session. they also killed standup meetings. instead of telling people what you're working on, you just show a working demo. all walk no talk basically the team structure makes this possible. > designers ship code. > engineers make product decisions. > product managers build prototypes. everyone can take an idea from concept to working demo without waiting on anyone else. the biggest features at a $380b company came from afternoon experiments that nobody asked for. honestly this matches my own experience cooking with ai. some of the best workflows i use every day came from just fucking around. opening a session with zero intention and asking claude what it can do, or jamming on a random idea to see where it goes. if you're only using ai for tasks you already have in mind, you're missing the best part. open a session with no agenda. ask it to surprise you. try building something stupid. half the time it goes nowhere. the other half it becomes the thing you use most. you need to be sidequestmaxxing.

Ole Lehmann

106,034 просмотров • 3 месяцев назад

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
35:48

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

101,660 просмотров • 4 месяцев назад

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
35:48

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

85,668 просмотров • 3 месяцев назад

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.
25:52

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

JJ Englert

29,322 просмотров • 4 месяцев назад

𝗖𝗵𝗶𝗻𝗮 𝗶𝘀 𝗳𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗿𝗼𝗯𝗼𝘁 𝗿𝗮𝗰𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝘀𝘁 𝗿𝗲𝗮𝗹𝗶𝘇𝗲𝘀 𝗶𝘁 𝗵𝗮𝘀 𝘀𝘁𝗮𝗿𝘁𝗲𝗱. AGIBOT held its Partner Conference in Shanghai last week. The real headline wasn't the new hardware. It was their CTO standing on stage, telling investors that humanoid R&D season is over. 2026, he said, is "Deployment Year One." Not research. Not demos. Deployment into real factories, real warehouses, real stores. The manufacturing ramp is getting faster. 1,000 humanoid robots in the first 2 years. Another 4,000 in the next 12 months. Another 5,000 in just 3 months after that. AGIBOT is now shipping more humanoids per quarter than most US robotics companies have built in their entire existence. Then came the announcements the industry will spend the rest of the year reacting to. AIMA. The first full-stack open architecture for embodied AI. A unified robot operating system called Link-U, three dev platforms for motion, interaction, and task creation, plus an open agent framework. Any developer can build on top of it. This is the Android play for humanoids. GO-2. A vision-language-action foundation model with Action Chain-of-Thought reasoning. Planning and execution collapsed into one model. GE-2. A world model for simulation, strategy testing, and sim-to-real transfer. AGIBOT WORLD 2026. An open-source, production-grade real-world dataset pulled from actual industrial, logistics, hotel, and commercial sites. Seven standardized "productivity packages" covering logistics sorting, retail service, security patrol, commercial cleaning, and more. Plug, deploy, bill. A 5-year, $280 million commitment to seed a global developer and partner ecosystem. Now look at the competition. Boston Dynamics has been building humanoids since 1992. Tesla's Optimus is still climbing its own hype curve. Apptronik and Agility are well-funded but pre-scale on real deployments. AGIBOT has pulled all of this off in three years, with no acquisitions, no legacy platform, and no IPO distractions. While the West is still asking when humanoids will scale, China is already shipping them by the thousand.
1:22

𝗖𝗵𝗶𝗻𝗮 𝗶𝘀 𝗳𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗿𝗼𝗯𝗼𝘁 𝗿𝗮𝗰𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝘀𝘁 𝗿𝗲𝗮𝗹𝗶𝘇𝗲𝘀 𝗶𝘁 𝗵𝗮𝘀 𝘀𝘁𝗮𝗿𝘁𝗲𝗱. AGIBOT held its Partner Conference in Shanghai last week. The real headline wasn't the new hardware. It was their CTO standing on stage, telling investors that humanoid R&D season is over. 2026, he said, is "Deployment Year One." Not research. Not demos. Deployment into real factories, real warehouses, real stores. The manufacturing ramp is getting faster. 1,000 humanoid robots in the first 2 years. Another 4,000 in the next 12 months. Another 5,000 in just 3 months after that. AGIBOT is now shipping more humanoids per quarter than most US robotics companies have built in their entire existence. Then came the announcements the industry will spend the rest of the year reacting to. AIMA. The first full-stack open architecture for embodied AI. A unified robot operating system called Link-U, three dev platforms for motion, interaction, and task creation, plus an open agent framework. Any developer can build on top of it. This is the Android play for humanoids. GO-2. A vision-language-action foundation model with Action Chain-of-Thought reasoning. Planning and execution collapsed into one model. GE-2. A world model for simulation, strategy testing, and sim-to-real transfer. AGIBOT WORLD 2026. An open-source, production-grade real-world dataset pulled from actual industrial, logistics, hotel, and commercial sites. Seven standardized "productivity packages" covering logistics sorting, retail service, security patrol, commercial cleaning, and more. Plug, deploy, bill. A 5-year, $280 million commitment to seed a global developer and partner ecosystem. Now look at the competition. Boston Dynamics has been building humanoids since 1992. Tesla's Optimus is still climbing its own hype curve. Apptronik and Agility are well-funded but pre-scale on real deployments. AGIBOT has pulled all of this off in three years, with no acquisitions, no legacy platform, and no IPO distractions. While the West is still asking when humanoids will scale, China is already shipping them by the thousand.

Shruti

214,939 просмотров • 3 месяцев назад

HERMES AGENT v0.17.0 JUST SHIPPED. "THE REACH RELEASE." 1,475 COMMITS. 800 PRs. 245 CONTRIBUTORS. HERMES NOW REACHES IMESSAGE, RAFT NETWORK, AND CURSOR'S COMPOSER MODEL. the highlights: Nous Research iMESSAGE WITHOUT A MAC RELAY Photon Spectrum integration ships native iMessage support. no Mac in a closet. no BlueBubbles bridge. hermes photon login → device code auth → done. Hermes lives in the blue bubbles now. ASYNC SUBAGENTS NO LONGER BLOCK YOUR CHAT delegate_task(background=true) dispatches a subagent that runs in the background. returns a handle immediately. you keep working. result re-enters as a new turn when it finishes. long research dives stop blocking your main session. IMAGE EDITING, NOT JUST GENERATION image_generate now edits source images. "make this logo blue." "remove the background." "turn this sketch into a render." works across every supported image provider. same tool, new mode. CURSOR'S COMPOSER MODEL VIA GROK OAUTH grok-composer-2.5-fast is in the xAI model picker. 200k context window. fast coding model behind Cursor. your Grok subscription. Hermes's agent loop. no separate API key needed. AUTOMATION BLUEPRINTS schedule tasks without learning cron syntax. "daily news briefing at 8am" becomes a form. one blueprint definition renders everywhere: dashboard form, CLI slash command, Telegram chat, docs catalog entry. answer questions, not memorize 0 8 * * *. FULL PROFILE BUILDER IN DASHBOARD build a complete Hermes profile from the browser. pick model. choose skills. attach MCPs. no config.yaml editing. plus unified multi-profile view with global switcher. SKILLS HUB BROWSER REHAUL connected hubs (OpenAI, Anthropic, HuggingFace, NVIDIA). Featured section. full skill previews before install. security scan on each skill. browsing skills is a real browsing experience now. ATOMIC MEMORY OPERATIONS memory tool gained an operations array. batch add/replace/remove edits applied atomically. the model can free space and add entries in ONE call even when individual adds would overflow the budget. memory updates no longer fail mid-edit. CURATOR STOPPED SPENDING TOKENS BY DEFAULT deterministic skill pruning still runs free. LLM-powered consolidation now opt-in only: curator.consolidate: true to enable. routine background curation costs you zero tokens. WHATSAPP BUSINESS CLOUD API official Meta adapter alongside existing Baileys bridge. no QR-scanning bridge process to keep alive. hosted, first-party WhatsApp channel. TELEGRAM RICH MESSAGES (BOT API 10.1) proper rich formatting. cleaner long-message handling. native markup instead of flattened text. on by default. opt-out available. DESKTOP APP IS NOW A DAILY DRIVER rebindable keyboard shortcuts. native OS notifications. live subagent watch-windows streaming activity. composer model selector with per-model presets. automatic RTL/bidi text. resizable VS Code terminal pane. per-thread composer drafts. install ANY VS Code Marketplace theme. RAFT AGENT NETWORK new bundled adapter connects Hermes to raft. build as an external agent. wake-channel bridge. privacy by contract: wake payloads carry metadata only, never message bodies. SECURE DASHBOARD LOGIN every token-required endpoint returns 401 behind OAuth gate. websocket auth uses served dashboard token. public_url override warnings. exposing your dashboard to the network is safer by default. upgrade: hermes update 300+ issues closed. security round included. hermes-agent ecosystem now at 198K GitHub stars.
2:06

HERMES AGENT v0.17.0 JUST SHIPPED. "THE REACH RELEASE." 1,475 COMMITS. 800 PRs. 245 CONTRIBUTORS. HERMES NOW REACHES IMESSAGE, RAFT NETWORK, AND CURSOR'S COMPOSER MODEL. the highlights: Nous Research iMESSAGE WITHOUT A MAC RELAY Photon Spectrum integration ships native iMessage support. no Mac in a closet. no BlueBubbles bridge. hermes photon login → device code auth → done. Hermes lives in the blue bubbles now. ASYNC SUBAGENTS NO LONGER BLOCK YOUR CHAT delegate_task(background=true) dispatches a subagent that runs in the background. returns a handle immediately. you keep working. result re-enters as a new turn when it finishes. long research dives stop blocking your main session. IMAGE EDITING, NOT JUST GENERATION image_generate now edits source images. "make this logo blue." "remove the background." "turn this sketch into a render." works across every supported image provider. same tool, new mode. CURSOR'S COMPOSER MODEL VIA GROK OAUTH grok-composer-2.5-fast is in the xAI model picker. 200k context window. fast coding model behind Cursor. your Grok subscription. Hermes's agent loop. no separate API key needed. AUTOMATION BLUEPRINTS schedule tasks without learning cron syntax. "daily news briefing at 8am" becomes a form. one blueprint definition renders everywhere: dashboard form, CLI slash command, Telegram chat, docs catalog entry. answer questions, not memorize 0 8 * * *. FULL PROFILE BUILDER IN DASHBOARD build a complete Hermes profile from the browser. pick model. choose skills. attach MCPs. no config.yaml editing. plus unified multi-profile view with global switcher. SKILLS HUB BROWSER REHAUL connected hubs (OpenAI, Anthropic, HuggingFace, NVIDIA). Featured section. full skill previews before install. security scan on each skill. browsing skills is a real browsing experience now. ATOMIC MEMORY OPERATIONS memory tool gained an operations array. batch add/replace/remove edits applied atomically. the model can free space and add entries in ONE call even when individual adds would overflow the budget. memory updates no longer fail mid-edit. CURATOR STOPPED SPENDING TOKENS BY DEFAULT deterministic skill pruning still runs free. LLM-powered consolidation now opt-in only: curator.consolidate: true to enable. routine background curation costs you zero tokens. WHATSAPP BUSINESS CLOUD API official Meta adapter alongside existing Baileys bridge. no QR-scanning bridge process to keep alive. hosted, first-party WhatsApp channel. TELEGRAM RICH MESSAGES (BOT API 10.1) proper rich formatting. cleaner long-message handling. native markup instead of flattened text. on by default. opt-out available. DESKTOP APP IS NOW A DAILY DRIVER rebindable keyboard shortcuts. native OS notifications. live subagent watch-windows streaming activity. composer model selector with per-model presets. automatic RTL/bidi text. resizable VS Code terminal pane. per-thread composer drafts. install ANY VS Code Marketplace theme. RAFT AGENT NETWORK new bundled adapter connects Hermes to raft. build as an external agent. wake-channel bridge. privacy by contract: wake payloads carry metadata only, never message bodies. SECURE DASHBOARD LOGIN every token-required endpoint returns 401 behind OAuth gate. websocket auth uses served dashboard token. public_url override warnings. exposing your dashboard to the network is safer by default. upgrade: hermes update 300+ issues closed. security round included. hermes-agent ecosystem now at 198K GitHub stars.

YanXbt

35,261 просмотров • 1 месяц назад

A Minimal Internet Protocol Suite in C Bounty: US $1000 split among the four strongest builds, (with a secret bonus for standout effort). This will not be judged on code quality, so anyone can enter and have an equal opportunity against someone like UncleFred. I keep getting asked for the best way to learn C network programming. The answer. open a socket, push bits, learn by fire. This project is for devs who understand pointers but have not yet lived in tcpdump. Ship one C codebase, no external libs, all layers working together Use the RFC's it will make your life easier they are the source of truth. What you will be implementing: - ARP (RFC 826): request, reply, cache - IPv4 core: header parse, route, checksum - ICMP (RFC 792): echo, time-exceeded - UDP mini-stack: send, receive, port fan-out - TFTP (RFC 1350): RRQ, WRQ, DATA, ACK, ERROR - TCP lite: 3-way handshake, basic resend - HTTP/1.1 (RFC 2616): GET, HEAD, keep-alive - DNS resolver (RFC 1035): iterative A and AAAA queries Rules: - Zero LLM help. We will read the diffs. - TRY to use solid algorithms, not toy loops. Example: ARP cache with O(1) hash plus LRU, not a linear scan. - Entire stack must interoperate in a single build. - Public repo with clean commits. - Maintain a journal. - Post regular progress updates on X. Detailed articles, and educational videos are a bonus. Why bother? Earn prize money, build a full stack from link to application, leave with a god-tier repo that will look great on a resume, and possibly [redacted]... Important information in comments!
3:57

A Minimal Internet Protocol Suite in C Bounty: US $1000 split among the four strongest builds, (with a secret bonus for standout effort). This will not be judged on code quality, so anyone can enter and have an equal opportunity against someone like UncleFred. I keep getting asked for the best way to learn C network programming. The answer. open a socket, push bits, learn by fire. This project is for devs who understand pointers but have not yet lived in tcpdump. Ship one C codebase, no external libs, all layers working together Use the RFC's it will make your life easier they are the source of truth. What you will be implementing: - ARP (RFC 826): request, reply, cache - IPv4 core: header parse, route, checksum - ICMP (RFC 792): echo, time-exceeded - UDP mini-stack: send, receive, port fan-out - TFTP (RFC 1350): RRQ, WRQ, DATA, ACK, ERROR - TCP lite: 3-way handshake, basic resend - HTTP/1.1 (RFC 2616): GET, HEAD, keep-alive - DNS resolver (RFC 1035): iterative A and AAAA queries Rules: - Zero LLM help. We will read the diffs. - TRY to use solid algorithms, not toy loops. Example: ARP cache with O(1) hash plus LRU, not a linear scan. - Entire stack must interoperate in a single build. - Public repo with clean commits. - Maintain a journal. - Post regular progress updates on X. Detailed articles, and educational videos are a bonus. Why bother? Earn prize money, build a full stack from link to application, leave with a god-tier repo that will look great on a resume, and possibly [redacted]... Important information in comments!

tetsuo

20,362 просмотров • 1 год назад

Greg Isenberg broke down a 35-step playbook for building AI startups from zero to $1M+/year. 4 businesses, all profitable, no VC money I compressed it into 12 rules that actually matter: 1. ride a trend, don't create one: find a niche where demand already exists but tools are 5 years behind. if people are complaining in reddit threads and facebook groups.. that's your market 2. audience before product: master ONE platform. set notifications for 10 niche leaders, reply with real insight (not "great post!"), gain 5-10 followers daily. this compounds into an unfair advantage when you launch 3. validate with wallets, not surveys: if nobody will pre-pay at 50-70% off for something that doesn't exist yet.. they won't pay full price either. your audience becomes your investors 4. vibe code the MVP: use Cursor/Bolt/V0 to ship v1 in days not months. the goal isn't perfect code, it's proving people will use it. polish comes after revenue 5. keep the team at zero: AI is your co-founder now. Manus for research, ChatGPT for PRDs, Claude Design for design, Cursor for code. most $1M/yr businesses in 2026 run with 1-3 people max 6. automate before you hire: find the 3-step process you do 10x a day that takes 5 minutes each time. automate that first. Lindy, Gumloop, Zapier. work toward 90%+ automation 7. retention before growth: fixing churn is 10x more valuable than doubling acquisition. run retention sprints before growth sprints. most founders do this backwards and wonder why revenue flatlines 8. modular pricing kills one-size-fits-all: free tier for top of funnel, $29 for individuals, $299 for teams, $3K for enterprise. let the product sell itself at every level 9. partner with creators instead of buying ads: offer 1-20% equity or 20-50% rev share to creators with your audience. one partnership can outperform 6 months of paid marketing 10. build free tools for distribution: a public-facing calculator, checker, or generator drives organic traffic AND trains AI search to recommend you. this is the new SEO 11. think portfolio, not single product: once business #1 is profitable, repeat the process. share infrastructure, cross-promote, create a flywheel. Walt Disney didn't build one ride 12. ship something new every 30 days: a culture of shipping beats a culture of planning. new MVP monthly, acquire underperforming products with distribution upside, recruit operators to run them what actually compounds in 2026: - audience before product, not the other way - pre-selling before building - 1-person teams running $1M businesses with AI - retention over acquisition, always - portfolios over single bets - shipping over strategizing the cost of building has never been lower.. billions of people with credit cards are reachable through social media the only bottleneck left is you actually starting full 30-min breakdown from GREG ISENBERG attached below ↓ study this P.S. left 20 not taken startup ideas below which you can take and start growing
30:41

Greg Isenberg broke down a 35-step playbook for building AI startups from zero to $1M+/year. 4 businesses, all profitable, no VC money I compressed it into 12 rules that actually matter: 1. ride a trend, don't create one: find a niche where demand already exists but tools are 5 years behind. if people are complaining in reddit threads and facebook groups.. that's your market 2. audience before product: master ONE platform. set notifications for 10 niche leaders, reply with real insight (not "great post!"), gain 5-10 followers daily. this compounds into an unfair advantage when you launch 3. validate with wallets, not surveys: if nobody will pre-pay at 50-70% off for something that doesn't exist yet.. they won't pay full price either. your audience becomes your investors 4. vibe code the MVP: use Cursor/Bolt/V0 to ship v1 in days not months. the goal isn't perfect code, it's proving people will use it. polish comes after revenue 5. keep the team at zero: AI is your co-founder now. Manus for research, ChatGPT for PRDs, Claude Design for design, Cursor for code. most $1M/yr businesses in 2026 run with 1-3 people max 6. automate before you hire: find the 3-step process you do 10x a day that takes 5 minutes each time. automate that first. Lindy, Gumloop, Zapier. work toward 90%+ automation 7. retention before growth: fixing churn is 10x more valuable than doubling acquisition. run retention sprints before growth sprints. most founders do this backwards and wonder why revenue flatlines 8. modular pricing kills one-size-fits-all: free tier for top of funnel, $29 for individuals, $299 for teams, $3K for enterprise. let the product sell itself at every level 9. partner with creators instead of buying ads: offer 1-20% equity or 20-50% rev share to creators with your audience. one partnership can outperform 6 months of paid marketing 10. build free tools for distribution: a public-facing calculator, checker, or generator drives organic traffic AND trains AI search to recommend you. this is the new SEO 11. think portfolio, not single product: once business #1 is profitable, repeat the process. share infrastructure, cross-promote, create a flywheel. Walt Disney didn't build one ride 12. ship something new every 30 days: a culture of shipping beats a culture of planning. new MVP monthly, acquire underperforming products with distribution upside, recruit operators to run them what actually compounds in 2026: - audience before product, not the other way - pre-selling before building - 1-person teams running $1M businesses with AI - retention over acquisition, always - portfolios over single bets - shipping over strategizing the cost of building has never been lower.. billions of people with credit cards are reachable through social media the only bottleneck left is you actually starting full 30-min breakdown from GREG ISENBERG attached below ↓ study this P.S. left 20 not taken startup ideas below which you can take and start growing

Ronin

24,371 просмотров • 2 месяцев назад

Jeremy Corbell (Jeremy Kenyon Lockyer Corbell ) is either lying or delusional - or both. And what I'm laying out below should make it impossible for even the lowest of critical thinkers to pretend otherwise. The clip below is blowing up on X right now - it's where Corbell threatens more "file systems" if the government doesn't deliver reverse engineering and biologics in the next UAP drop - it's not some fresh bombshell. This is just a short exceprt from his June 4, 2026 appearance on Mystery Wire podcast with the other grifter, George Knapp and Ron Futrell - talking about his own documentary (as if he ever talks about anything other than himself). In that segment (between around 11:38 and 13:53) Corbell progressively loses his frigging marbles in real time: - "Hundreds of journalists around the world have" the information shown in Sleeping Dog. - The government needs to release details on reverse engineering of non-human craft and biologics. - David Grush "told the truth" under oath - including that we have been reverse-engineering for decades and recovered "pilot biologics" and "non-human intelligent beings" - Parts of the U.S. Government (and even the Five Eyes alliance) already have this information but basically decided to stay silent. - The President should just order the release and hold the CIA accountable. Corbell is framing all of this like he and Knapp are sitting on proof that already escaped their hands and is now with HUNDREDS of journalists across the globe. (Cough - bullshit) So, where is that list of hundreds of journalists - you know - people who stab each other in the back to be the first to a story - how come none of them have said jack or shit? Where are the documents with classification markings? Where is the chain of custody? Where is ONE SINGLE JOURNALIST STEPPING FORWARD WITH AN AUTHENTICATED LIST? Nothing - Zero - Zilch - This is GRIFTING 101- Inventing a secret army of people who supposedly back you up so you never have to produce the actual evidence yourself. If Cornbell actually had real, active, highly classified U.S. Government file systems providing reverse-engineered non-human craft and biologics, several things would have ALREADY happened. 1) The MOMENT that material left authorized channels, alarm bells would ring under Executive Order 13526 and the classification rules. Compromise reporting is MANDATORY. Investigations are AUTOMATIC!!! 2) People who actually leak this kind of material get HAMMERED - Examples: -Reality Winner: 63 months in prison for mailing ONE classified document. - Daniel Hale: 45 months for disclosing classified information to a reporter. - Jack Teixeira: 15 years for sharing classified pages online. -Chelsea Manning: 35 years for massive leaks. -Edward Snowen: Charged under the Espionage Act and living in exile. Julian Assange: Charged under the Espionage Act for allegedly conspiring ot obtain and disclose classified national defense information. YOU DO NOT GET TO KEEP THE FILES - YOU DO NOT GET TO MAKE A DOCUMENTARY ABOUT THEM - YOU DO NOT GET TO GO ON PODCASTS THREATENING TO RELEASE MORE AND WALK AROUND FREE. The system does not work that way. The fact that NONE of this has happened to Corbell is 100% proof that he DOES NOT HAVE WHAT HE CLAIMS. Leaking real classified material does not magically make it public domain. The rules are deliberately strict precisely so random ass-hat filmmakers cannot just wave "file systems" around on camera and pretend it's disclosure. You are BEING LIED TO, and Corbell is using the same cheap rhetorical tricks EVERY TIME: - Starts with something true or partly true ("some UAP cases are still explained" or "the government has released some files"). - Immediately swaps it for the much bigger, unproven claim ("therefore the government has alien craft and bodies, and I've seen the proof."). - Uses David Grusch's testimony as a trump card ("he told the truth") while ignoring that AARO investigated those exact claims and found no supporting evidence. -Hides behind secrecy ("the government is slow-walking it") instead of producing one single authenticated document with provenance. A middle schooler could spot the shell game once it's laid out clearly. Bottom Line: - Corbell is either: 1) Deliberately lying about possessing and distributing classified proof of non-human craft and biologics, or 2) So deep in his own self-created mythology that he genuinely believes his own unverified claims as established fact. Either way, he's grifting. He makes money from Sleeping Dog documentary, podcast appearances, and the endless "disclosure is coming but the government won't show the real stuff" bullshit. Zero authenticated documents. Zero chain of custody. Zero technical validation. Zero corroboration for the "hundreds of journalists" claim. The lowest critical thinker can understand this now. If you don't - Well, I can explain it to you again, but I can't understand it for you.
2:25

Jeremy Corbell (Jeremy Kenyon Lockyer Corbell ) is either lying or delusional - or both. And what I'm laying out below should make it impossible for even the lowest of critical thinkers to pretend otherwise. The clip below is blowing up on X right now - it's where Corbell threatens more "file systems" if the government doesn't deliver reverse engineering and biologics in the next UAP drop - it's not some fresh bombshell. This is just a short exceprt from his June 4, 2026 appearance on Mystery Wire podcast with the other grifter, George Knapp and Ron Futrell - talking about his own documentary (as if he ever talks about anything other than himself). In that segment (between around 11:38 and 13:53) Corbell progressively loses his frigging marbles in real time: - "Hundreds of journalists around the world have" the information shown in Sleeping Dog. - The government needs to release details on reverse engineering of non-human craft and biologics. - David Grush "told the truth" under oath - including that we have been reverse-engineering for decades and recovered "pilot biologics" and "non-human intelligent beings" - Parts of the U.S. Government (and even the Five Eyes alliance) already have this information but basically decided to stay silent. - The President should just order the release and hold the CIA accountable. Corbell is framing all of this like he and Knapp are sitting on proof that already escaped their hands and is now with HUNDREDS of journalists across the globe. (Cough - bullshit) So, where is that list of hundreds of journalists - you know - people who stab each other in the back to be the first to a story - how come none of them have said jack or shit? Where are the documents with classification markings? Where is the chain of custody? Where is ONE SINGLE JOURNALIST STEPPING FORWARD WITH AN AUTHENTICATED LIST? Nothing - Zero - Zilch - This is GRIFTING 101- Inventing a secret army of people who supposedly back you up so you never have to produce the actual evidence yourself. If Cornbell actually had real, active, highly classified U.S. Government file systems providing reverse-engineered non-human craft and biologics, several things would have ALREADY happened. 1) The MOMENT that material left authorized channels, alarm bells would ring under Executive Order 13526 and the classification rules. Compromise reporting is MANDATORY. Investigations are AUTOMATIC!!! 2) People who actually leak this kind of material get HAMMERED - Examples: -Reality Winner: 63 months in prison for mailing ONE classified document. - Daniel Hale: 45 months for disclosing classified information to a reporter. - Jack Teixeira: 15 years for sharing classified pages online. -Chelsea Manning: 35 years for massive leaks. -Edward Snowen: Charged under the Espionage Act and living in exile. Julian Assange: Charged under the Espionage Act for allegedly conspiring ot obtain and disclose classified national defense information. YOU DO NOT GET TO KEEP THE FILES - YOU DO NOT GET TO MAKE A DOCUMENTARY ABOUT THEM - YOU DO NOT GET TO GO ON PODCASTS THREATENING TO RELEASE MORE AND WALK AROUND FREE. The system does not work that way. The fact that NONE of this has happened to Corbell is 100% proof that he DOES NOT HAVE WHAT HE CLAIMS. Leaking real classified material does not magically make it public domain. The rules are deliberately strict precisely so random ass-hat filmmakers cannot just wave "file systems" around on camera and pretend it's disclosure. You are BEING LIED TO, and Corbell is using the same cheap rhetorical tricks EVERY TIME: - Starts with something true or partly true ("some UAP cases are still explained" or "the government has released some files"). - Immediately swaps it for the much bigger, unproven claim ("therefore the government has alien craft and bodies, and I've seen the proof."). - Uses David Grusch's testimony as a trump card ("he told the truth") while ignoring that AARO investigated those exact claims and found no supporting evidence. -Hides behind secrecy ("the government is slow-walking it") instead of producing one single authenticated document with provenance. A middle schooler could spot the shell game once it's laid out clearly. Bottom Line: - Corbell is either: 1) Deliberately lying about possessing and distributing classified proof of non-human craft and biologics, or 2) So deep in his own self-created mythology that he genuinely believes his own unverified claims as established fact. Either way, he's grifting. He makes money from Sleeping Dog documentary, podcast appearances, and the endless "disclosure is coming but the government won't show the real stuff" bullshit. Zero authenticated documents. Zero chain of custody. Zero technical validation. Zero corroboration for the "hundreds of journalists" claim. The lowest critical thinker can understand this now. If you don't - Well, I can explain it to you again, but I can't understand it for you.

DesertThrottleDiaries

20,476 просмотров • 1 месяц назад

Anthropic just had to throttle Claude’s thinking depth and cap usage for paying customers. Developers are switching to OpenAI Codex and the market is already sniffing out who wins from all of. Anthropic’s revenue tripled in one quarter to a $30B annual run rate, demand grew so fast that a single developer running an AI agent could drain a full day’s worth of compute in minutes. Anthropic had to reduce Claude’s default thinking mode, introduce peak-hour caps, and test pulling Claude Code off its $20 plan entirely and paying subscribers started hitting limits they’d never seen before. There are literally not enough GPUs to serve every request, even the hyperscalers can’t build fast enough, Microsoft, Google, Amazon, and Meta are committing a combined ~$700 billion in AI capex in 2026, approaching 100% of their combined operating free cash flow. And it’s still not sufficient to meet demand. That gap is where the neocloud trade lives. CoreWeave, Nebius ($NBIS), IREN, and CoreWeave ($CRWV) exist because hyperscalers physically can’t scale fast enough. These companies accumulated $131 billion in enterprise GPU commitments from zero in under three years. CoreWeave alone has a $66.8 billion revenue backlog, Nebius is running at 98% capacity utilization essentially sold out. Synergy Research forecasts the entire neocloud market hits $400 billion by 2031, growing at 58% per year. Google just committed $40 billion and 5 gigawatts to Anthropic. And every AI lab is in the same position: they have the demand, they have the revenue, they are actively looking for anyone who can hand them compute today. If you can bring capacity online fast, you are golden. The AI labs can’t say no, they have no other options.
4:44

Anthropic just had to throttle Claude’s thinking depth and cap usage for paying customers. Developers are switching to OpenAI Codex and the market is already sniffing out who wins from all of. Anthropic’s revenue tripled in one quarter to a $30B annual run rate, demand grew so fast that a single developer running an AI agent could drain a full day’s worth of compute in minutes. Anthropic had to reduce Claude’s default thinking mode, introduce peak-hour caps, and test pulling Claude Code off its $20 plan entirely and paying subscribers started hitting limits they’d never seen before. There are literally not enough GPUs to serve every request, even the hyperscalers can’t build fast enough, Microsoft, Google, Amazon, and Meta are committing a combined ~$700 billion in AI capex in 2026, approaching 100% of their combined operating free cash flow. And it’s still not sufficient to meet demand. That gap is where the neocloud trade lives. CoreWeave, Nebius ($NBIS), IREN, and CoreWeave ($CRWV) exist because hyperscalers physically can’t scale fast enough. These companies accumulated $131 billion in enterprise GPU commitments from zero in under three years. CoreWeave alone has a $66.8 billion revenue backlog, Nebius is running at 98% capacity utilization essentially sold out. Synergy Research forecasts the entire neocloud market hits $400 billion by 2031, growing at 58% per year. Google just committed $40 billion and 5 gigawatts to Anthropic. And every AI lab is in the same position: they have the demand, they have the revenue, they are actively looking for anyone who can hand them compute today. If you can bring capacity online fast, you are golden. The AI labs can’t say no, they have no other options.

Milk Road AI

46,800 просмотров • 3 месяцев назад

⚡ Kleros Development Update | May 2026 Kleros Foresight opens the month: movies round 2 is now live, so you can trade today. Batch redemption shipped, redemption values were corrected with a pre-check before claiming, resolved answers now show right on the market cards, and a resolution email tells you the moment your winnings are ready to claim. Kleros Skills is being prepared for launch: knowledge packs that teach AI agents how to use Kleros, whatever assistant they run on. The first two packs are almost ready. One lets an agent pin files to IPFS for $0.01 in USDC, the other lets it interact with Kleros Curate and Scout. A Kleros CLI, ERC-8004 agent verification, and an Escrow pack are on the roadmap. Scout reached its definitive version: 2.6M curated addresses on the homepage, a dedicated new-submission page, a transaction-result page, and an in-app file viewer. Uploads now flow through Atlas with limits sourced from role restrictions, submissions defer uploads until sign-in, and ATQ duplicate detection plus JavaScript Court landed in the disputes view. Atlas shipped v1.6.0. Signup is now per product: Court V1, Court V2, and Foresight each get their own confirmation email, unsubscribe link, and onboarding flow. Court reminders moved to a fixed, configurable time, and every batch send is preceded by a transaction simulation. Proof of Humanity V2 email notifications now cover the complete profile lifecycle: pending revocations, vouching activity, disputed flows, and challenge outcomes, processed end to end by Atlas. Only the frontend opt-in toggle remains. An evidence-key fix means older cases render attachments properly again, and the referral system spec went through review. Vea published the veashi-sdk to npm at v0.0.2, the first packaged version of the cross-chain SDK. The LayerZero Labs contracts were reorganized under the adapter layout, the Hashi executor decoupling merged after April's review pass, and an ENVIO HyperIndex indexer for the relayer is on the way. Court V2: The contracts are being simplified, the partial-coherence kit was merged, and the security findings are being worked through. From here, the code heads into another round of internal reviews. We'd rather take the time and get it right. Full breakdown 👇
2:48

⚡ Kleros Development Update | May 2026 Kleros Foresight opens the month: movies round 2 is now live, so you can trade today. Batch redemption shipped, redemption values were corrected with a pre-check before claiming, resolved answers now show right on the market cards, and a resolution email tells you the moment your winnings are ready to claim. Kleros Skills is being prepared for launch: knowledge packs that teach AI agents how to use Kleros, whatever assistant they run on. The first two packs are almost ready. One lets an agent pin files to IPFS for $0.01 in USDC, the other lets it interact with Kleros Curate and Scout. A Kleros CLI, ERC-8004 agent verification, and an Escrow pack are on the roadmap. Scout reached its definitive version: 2.6M curated addresses on the homepage, a dedicated new-submission page, a transaction-result page, and an in-app file viewer. Uploads now flow through Atlas with limits sourced from role restrictions, submissions defer uploads until sign-in, and ATQ duplicate detection plus JavaScript Court landed in the disputes view. Atlas shipped v1.6.0. Signup is now per product: Court V1, Court V2, and Foresight each get their own confirmation email, unsubscribe link, and onboarding flow. Court reminders moved to a fixed, configurable time, and every batch send is preceded by a transaction simulation. Proof of Humanity V2 email notifications now cover the complete profile lifecycle: pending revocations, vouching activity, disputed flows, and challenge outcomes, processed end to end by Atlas. Only the frontend opt-in toggle remains. An evidence-key fix means older cases render attachments properly again, and the referral system spec went through review. Vea published the veashi-sdk to npm at v0.0.2, the first packaged version of the cross-chain SDK. The LayerZero Labs contracts were reorganized under the adapter layout, the Hashi executor decoupling merged after April's review pass, and an ENVIO HyperIndex indexer for the relayer is on the way. Court V2: The contracts are being simplified, the partial-coherence kit was merged, and the security findings are being worked through. From here, the code heads into another round of internal reviews. We'd rather take the time and get it right. Full breakdown 👇

Kleros

11,804 просмотров • 1 месяц назад

Tom Crawshaw has been building automations for 9 years with $25 million in client revenue to his name. He just walked me through his Claude Code content system that's generating millions of views and tens of thousands of followers. Here's what I learned: 1. Skills beat Projects in Claude. Projects load every context file on every message and burn your token window. Skills work like a book where the LLM reads the table of contents and pulls only the chapter it needs for the job. Same context, fraction of the tokens. 2. He has a /content-create slash command that runs the entire pipeline. Voice profile, copywriting principles, hook generation, image direction. One command. He doesn't write anything from scratch anymore. 3. His voice profile auto-updates weekly. He wrote a script that hits the X API every 7 days, pulls his top-performing posts by engagement, and rewrites his voice profile based on what's actually working. The profile evolves on its own. 4. He distilled a master copywriter's entire body of work into a single markdown file. Grabbed every Alen Sultanic post he could find, dropped it into Claude, asked for the core principles, fed it into the skill. Now every post he writes runs through those principles automatically. 5. The hook generator scores 16 hooks per post against 7 criteria. Curiosity loops, specificity, sensory, credibility, voice match, and a couple of others. He never picks the #1 by default. Sometimes he splices the first line of one hook with the body of another. The taste is still his. 6. /insights is a native Claude Code command nobody talks about. It analyzes every session you've ever run and produces a full report on your usage patterns, where things break down, and prompts you can paste back into Claude to fix them. I had never heard of it. I'm running it tonight. 7. He spends most of his time on hooks and images. If those two suck, the body copy doesn't matter. Nobody reads it. 8. Image generation is never one-shot. He keeps a folder of reference images that have worked before and feeds them into Nano Banana/GPT Image 2 every time. Then he takes the 80-90% output and finishes it in Canva using "magic grab" to move logos and clean up text. Last mile is human every time. 9. The humanizer step is non-negotiable. Strip em dashes. Kill the "it's not X, it's Y" pattern. Cut the triple negatives. Cut "no fluff." He still has to remind Claude mid-session because it drifts. If you're not auditing for AI tells, you're shipping slop. 10. Wisprflow is the most important tool in his stack. Not a content tool. An everything tool. His test for whether you should be using it: do you talk faster than you type? You do. Everyone does. Bonus fact he dropped: QWERTY was designed 200 years ago to slow typing down so old typewriters wouldn't jam. We've been carrying that forward ever since. Voice is finally undoing it. This was an inside look at how a serious operator Tom is using Claude Code to run a content engine. The good, the bad, the iteration, all of it. I hope you enjoy this one as much as I did. Go watch it.
57:27

Tom Crawshaw has been building automations for 9 years with $25 million in client revenue to his name. He just walked me through his Claude Code content system that's generating millions of views and tens of thousands of followers. Here's what I learned: 1. Skills beat Projects in Claude. Projects load every context file on every message and burn your token window. Skills work like a book where the LLM reads the table of contents and pulls only the chapter it needs for the job. Same context, fraction of the tokens. 2. He has a /content-create slash command that runs the entire pipeline. Voice profile, copywriting principles, hook generation, image direction. One command. He doesn't write anything from scratch anymore. 3. His voice profile auto-updates weekly. He wrote a script that hits the X API every 7 days, pulls his top-performing posts by engagement, and rewrites his voice profile based on what's actually working. The profile evolves on its own. 4. He distilled a master copywriter's entire body of work into a single markdown file. Grabbed every Alen Sultanic post he could find, dropped it into Claude, asked for the core principles, fed it into the skill. Now every post he writes runs through those principles automatically. 5. The hook generator scores 16 hooks per post against 7 criteria. Curiosity loops, specificity, sensory, credibility, voice match, and a couple of others. He never picks the #1 by default. Sometimes he splices the first line of one hook with the body of another. The taste is still his. 6. /insights is a native Claude Code command nobody talks about. It analyzes every session you've ever run and produces a full report on your usage patterns, where things break down, and prompts you can paste back into Claude to fix them. I had never heard of it. I'm running it tonight. 7. He spends most of his time on hooks and images. If those two suck, the body copy doesn't matter. Nobody reads it. 8. Image generation is never one-shot. He keeps a folder of reference images that have worked before and feeds them into Nano Banana/GPT Image 2 every time. Then he takes the 80-90% output and finishes it in Canva using "magic grab" to move logos and clean up text. Last mile is human every time. 9. The humanizer step is non-negotiable. Strip em dashes. Kill the "it's not X, it's Y" pattern. Cut the triple negatives. Cut "no fluff." He still has to remind Claude mid-session because it drifts. If you're not auditing for AI tells, you're shipping slop. 10. Wisprflow is the most important tool in his stack. Not a content tool. An everything tool. His test for whether you should be using it: do you talk faster than you type? You do. Everyone does. Bonus fact he dropped: QWERTY was designed 200 years ago to slow typing down so old typewriters wouldn't jam. We've been carrying that forward ever since. Voice is finally undoing it. This was an inside look at how a serious operator Tom is using Claude Code to run a content engine. The good, the bad, the iteration, all of it. I hope you enjoy this one as much as I did. Go watch it.

Corey Ganim

36,120 просмотров • 3 месяцев назад

DAS IST GROSS !!! Ich habe 4 KRITISCHE BUGS in der EU APP gefunden !! 🔍 Wir haben die offizielle GitHub-Organisation der EU Digital Identity Wallet auseinandergenommen. 80+ Repositories. Der Bauplan der digitalen Zukunft Europas. Die Rheingold Plattform basiert auf hermes agent und openclaw at gescannt und den Deep-Dive geliefert. Ergebnis: Gut gemeint. Gefährlich umgesetzt. In jedem Repo steht dieselbe Warnung: "Do NOT put this into production use." Die juristische Notbremse der EU. Aber wir wissen alle: Entwickler kopieren Code. Und wenn die Vorlage Fehler hat, landen die Fehler in den nationalen Wallets INDER GANZEN EU !! Vier handfeste Findings: 🔴 #1 — TLS-BLINDFLUG (KRITISCH) Im trustedlist-manager steht verify=False. Ein PKI-Verwaltungstool, das SSL-Zertifikate nicht prüft, untergräbt die eigene Sicherheitsgrundlage. Man-in-the-Middle: offenes Scheunentor. (Zeile 114) 🟠 #2 — DEFAULT-SCHLÜSSEL (HOCH) Passwörter für Krypto-Keystores im Klartext in den Config-Files. Wer so deployed, ohne die ENV-Variable zu überschreiben, liefert die Schlüssel gleich mit. Aktuell Dummy-Keys. Die Architektur-Schwäche bleibt. 🟡 #4 — DoS-ANFÄLLIGKEIT (MEDIUM) ast.literal_eval auf User-Input aus URL-Parametern. Kein Code-Execution, aber DoS durch verschachtelte Datenpakete. Server lahmlegen in einer Request. 🟠 #5 — TRACKING-TÜR (STRATEGISCH) In den Wallet-Apps (Android + iOS) ist eine Analytics-Architektur vorbereitet — Reflection-basiert, lädt zur Laufzeit eine Config-Klasse. Aktuell leer. Im iOS-Code: Firebase als Beispiel erwähnt. Die Tür ist gebaut. Es fehlt nur der Schlüssel. Ist das ein geplanter Backdoor? Nein. Ist das gefährliche Schlamperei? Ja. Das Problem ist nicht, dass ein Entwickler mal ein Passwort vergisst. Das Problem ist die Governance. Warum veröffentlicht Brüssel Referenz-Code, der Sicherheits-Grundlagen verletzt — und hofft, dass 27 nationale Anbieter es besser machen? Rollout-Termin: Ende 2026. Wir haben acht Monate. Full Deep-Dive kommt morgen auf youtube ! org. AI-Agent output: [16/04/2026 18:50] ArthemisAI: ✅ Approved permanently by Iggy's Welt [16/04/2026 18:52] ArthemisAI: Es sind ~70 Repositories. Ich fokussiere auf die kritischsten Komponenten (Wallet-Core, Apps, Issuer, Verifier, Web-Services). Shallow-Clone + Pattern-Scan. [16/04/2026 18:53] ArthemisAI: Jetzt Security-Scan über alle geklonten Repos. Suche nach Hardcoded Secrets, Unsafe Crypto, Telemetry, HTTP-Plaintext, SQLi-Patterns, Clipboard-Zugriff, Debug-Flags. [16/04/2026 18:54] ArthemisAI: Python-Scan zu langsam. Wechsle zu ripgrep (RG) für massiv schnellere Suche. Fokus auf Top-Repos. [16/04/2026 18:55] ArthemisAI: Gute erste Übersicht. Viele False-Positives (Apache-Lizenzen, FontAwesome). Jetzt Deep-Dive auf die kritischen Funde: 1. ast.literal_eval auf Request-Args (trustedlist-manager) 2. verify=False in Production-Code 3. Hardcoded Keystore-Passwörter (verifier-endpoint) 4. Hardcoded app.secret_key (Python Issuer) 5. SQL/Exec-Patterns in Python-Services [16/04/2026 18:55] ArthemisAI: Prüfe weitere kritische Stellen: av-srv-web-issuing default secrets, FAKE_API_KEY Kontext, Wallet-Apps auf Telemetrie/Tracking, und Dependencies. [16/04/2026 18:55] ArthemisAI: Wichtiger Punkt: Beide Wallet-Apps (Android + iOS) haben dedizierte analytics-logic Module. Das ist für einen staatlichen Identity-Wallet hochbrisant. Prüfe was diese Module wirklich tun. [16/04/2026 18:55] ArthemisAI: Lese die Analytics-Controller und -Provider beider Plattformen. [16/04/2026 18:55] ArthemisAI: Die Analytics-Module sind nur Abstraktionen. Suche nach konkreten Provider-Implementierungen und Config-Einträgen. [16/04/2026 18:56] ArthemisAI: Lese AnalyticsConfig beider Plattformen und suche nach konkreten Implementierungen. [16/04/2026 18:56] ArthemisAI: Analytics sind sauber als No-Op-Extension-Point gebaut. Keine eingebauten Tracker. Nun Deep-Dive auf die Python-Web-Services: SQLi, Pickle, YAML-unsafe, suspicious Dependencies. [16/04/2026 18:56] ArthemisAI: Zwischenbericht: ~15 Commands ausgeführt. Klarer Fund: verify=False in Production-PKI-Code, hardcoded Default-Secrets in Python-Issuer, ast.literal_eval auf User-Input. Letzte Checks: idpy-oidc Passwort-Kontext, Web-Verifier JS-Sicherheit. [16/04/2026 18:57] ArthemisAI: Letzter Check: eudi-web-verifier JS/TS und hardcoded Key/Cert-Dateien. [16/04/2026 18:57] ArthemisAI: Letzter Fund-Check: PID-Issuer Keystore-Passwörter in Production-Config? [16/04/2026 18:57] ArthemisAI: Genug Daten. Kompiliere finalen Report. --- ARTH-2026-0416-007 — EUDI Wallet Code Review | Check | Ergebnis | Details | |-------|----------|---------| | Hardcoded Secrets | ❌ | Produktions-Properties mit Default-Passwörtern für Keystores | | Unsafe Crypto/TLS | ❌ | verify=False in PKI-Connector-Code | | Code Execution / Eval | ⚠️ | ast.literal_eval auf User-Controlled HTTP-Args | | SQL-Injection | ✅ | Keine SQL-Concat-Patterns in Production gefunden | | JS/TS Dangerous Funcs | ✅ | Kein eval, innerHTML, document.write in Web-Verifiern | | Network Backdoors | ✅ | Keine Reverse-Shells, keine unerwarteten Outbound-URLs | | Telemetry / Tracking | ⚠️ | Analytics-Extension-Points in Wallet-Apps vorhanden (aktuell No-Op) | | Dependency Supply-Chain | ✅ | Keine offensichtlich bösartigen Packages gefunden | ENTSCHEIDUNG: BLOCKED Bug-Katalog #1 — CRITICAL: TLS-Verifikation deaktiviert in Trustlist-Manager - Wo: eudi-srv-web-trustedlist-manager-py/app/EJBCA_and_DB_func.py:114 - Was: response = json=json_body, headers=headers, verify=False) - Risiko: Ein PKI-Verwaltungstool, das SSL-Zertifikate nicht validiert, untergräbt die eigene Sicherheitsgrundlage (MITM auf EJBCA-API). - Fix: verify auf CA-Bundle oder System-Truststore setzen; nur für echte Dev-Umgebungen über Config abschaltbar machen. #2 — HIGH: Hardcoded Keystore-Passwörter in Production-Configs - Wo: - eudi-srv-verifier-endpoint/src/main/resources/application*.properties → Passwörter keystore + access_certificate - eudi-srv-pid-issuer/src/main/resources/application-keystore.properties → Passwort keys - Was: Keystore-Dateien (keystore.jks, issuer-keys.jks, trusted-issuers.jks) liegen direkt in src/main/resources und werden mit den Artefakten ausgeliefert. - Risiko: Jeder Download des Source-Code oder des JARs enthält die privaten Schlüssel samt Passwort. Kompletter Schlüsselkomprimittierung bei Deployment. - Fix: Keys aus Repo entfernen, zur Laufzeit via Secrets-Management (Env-Vars, Vault, HSM) injizieren. #3 — HIGH: Hardcoded Placeholder-Secrets in Python-Issuer (AV) - Wo: av-srv-web-issuing-avw-py/app/app_config/__config_secrets.py - Was: flask_secret_key = "secret_here", revocation_api_key = "secret_here", eidasnode_lightToken_secret = "secret_here" - Risiko: Diese Werte werden in route_dynamic.py und formatter_func.py importiert. Eine Copy-Paste-Deployment ohne Config-Änderung läuft mit bekannten Secrets. - Fix: os.getenv() mit raise if missing verwenden; Platzhalter-Datei als .example ausliefern, nicht als .py. #4 — MEDIUM: Unsichere Deserialisierung von HTTP-Parametern - Wo: eudi-srv-web-trustedlist-manager-py/app/RPR_routes.py:1144 und :1572 - Was: tsps = ast.literal_eval(request.args.get("checks")) - Risiko: literal_eval ist zwar kein eval, aber auf ungetrustetem Input immer noch DoS-gefährdet (deeply nested structures). Für URL-Parameter gehört hier json.loads oder saubere Typ-Konvertierung hin. - Fix: json.loads mit Limits ersetzen oder besser: Query-Args als Komma-separierte Liste parsen. #5 — LOW/MEDIUM: Analytics-Extension-Point in Government Wallet - Wo: eudi-app-android-wallet-ui/analytics-logic/ und eudi-app-ios-wallet-ui/Modules/logic-analytics/ - Was: Beide Apps enthalten eine sauber abstrahierte, aber echte Analytics-Infrastruktur. iOS-Config-Kommentar nennt explizit Firebase als Beispiel-Provider. Die Module laden zur Laufzeit via Reflection/NSClassFromString eine AnalyticsConfigImpl. - Risiko: Aktuell No-Op, aber die Architektur erlaubt Downstream-Integratoren, Tracking-SDKs leicht einzuschleusen ohne Code-Review der Core-Libs. Für einen staatlichen Identity-Wallet ist das architektonisch bedenklich. (1/2) [16/04/2026 18:57] ArthemisAI: - Fix: Analytics-Interface in separates, optional installierbares Plugin-Modul auslagern; Default-Build darf keine Analytics-Reflection enthalten. Schreibe Log-Eintrag. (2/2) Quelle: #EUDIWallet #eIDAS #DigitalIdentity #Datenschutz #EUapp
5:34

DAS IST GROSS !!! Ich habe 4 KRITISCHE BUGS in der EU APP gefunden !! 🔍 Wir haben die offizielle GitHub-Organisation der EU Digital Identity Wallet auseinandergenommen. 80+ Repositories. Der Bauplan der digitalen Zukunft Europas. Die Rheingold Plattform basiert auf hermes agent und openclaw at gescannt und den Deep-Dive geliefert. Ergebnis: Gut gemeint. Gefährlich umgesetzt. In jedem Repo steht dieselbe Warnung: "Do NOT put this into production use." Die juristische Notbremse der EU. Aber wir wissen alle: Entwickler kopieren Code. Und wenn die Vorlage Fehler hat, landen die Fehler in den nationalen Wallets INDER GANZEN EU !! Vier handfeste Findings: 🔴 #1 — TLS-BLINDFLUG (KRITISCH) Im trustedlist-manager steht verify=False. Ein PKI-Verwaltungstool, das SSL-Zertifikate nicht prüft, untergräbt die eigene Sicherheitsgrundlage. Man-in-the-Middle: offenes Scheunentor. (Zeile 114) 🟠 #2 — DEFAULT-SCHLÜSSEL (HOCH) Passwörter für Krypto-Keystores im Klartext in den Config-Files. Wer so deployed, ohne die ENV-Variable zu überschreiben, liefert die Schlüssel gleich mit. Aktuell Dummy-Keys. Die Architektur-Schwäche bleibt. 🟡 #4 — DoS-ANFÄLLIGKEIT (MEDIUM) ast.literal_eval auf User-Input aus URL-Parametern. Kein Code-Execution, aber DoS durch verschachtelte Datenpakete. Server lahmlegen in einer Request. 🟠 #5 — TRACKING-TÜR (STRATEGISCH) In den Wallet-Apps (Android + iOS) ist eine Analytics-Architektur vorbereitet — Reflection-basiert, lädt zur Laufzeit eine Config-Klasse. Aktuell leer. Im iOS-Code: Firebase als Beispiel erwähnt. Die Tür ist gebaut. Es fehlt nur der Schlüssel. Ist das ein geplanter Backdoor? Nein. Ist das gefährliche Schlamperei? Ja. Das Problem ist nicht, dass ein Entwickler mal ein Passwort vergisst. Das Problem ist die Governance. Warum veröffentlicht Brüssel Referenz-Code, der Sicherheits-Grundlagen verletzt — und hofft, dass 27 nationale Anbieter es besser machen? Rollout-Termin: Ende 2026. Wir haben acht Monate. Full Deep-Dive kommt morgen auf youtube ! org. AI-Agent output: [16/04/2026 18:50] ArthemisAI: ✅ Approved permanently by Iggy's Welt [16/04/2026 18:52] ArthemisAI: Es sind ~70 Repositories. Ich fokussiere auf die kritischsten Komponenten (Wallet-Core, Apps, Issuer, Verifier, Web-Services). Shallow-Clone + Pattern-Scan. [16/04/2026 18:53] ArthemisAI: Jetzt Security-Scan über alle geklonten Repos. Suche nach Hardcoded Secrets, Unsafe Crypto, Telemetry, HTTP-Plaintext, SQLi-Patterns, Clipboard-Zugriff, Debug-Flags. [16/04/2026 18:54] ArthemisAI: Python-Scan zu langsam. Wechsle zu ripgrep (RG) für massiv schnellere Suche. Fokus auf Top-Repos. [16/04/2026 18:55] ArthemisAI: Gute erste Übersicht. Viele False-Positives (Apache-Lizenzen, FontAwesome). Jetzt Deep-Dive auf die kritischen Funde: 1. ast.literal_eval auf Request-Args (trustedlist-manager) 2. verify=False in Production-Code 3. Hardcoded Keystore-Passwörter (verifier-endpoint) 4. Hardcoded app.secret_key (Python Issuer) 5. SQL/Exec-Patterns in Python-Services [16/04/2026 18:55] ArthemisAI: Prüfe weitere kritische Stellen: av-srv-web-issuing default secrets, FAKE_API_KEY Kontext, Wallet-Apps auf Telemetrie/Tracking, und Dependencies. [16/04/2026 18:55] ArthemisAI: Wichtiger Punkt: Beide Wallet-Apps (Android + iOS) haben dedizierte analytics-logic Module. Das ist für einen staatlichen Identity-Wallet hochbrisant. Prüfe was diese Module wirklich tun. [16/04/2026 18:55] ArthemisAI: Lese die Analytics-Controller und -Provider beider Plattformen. [16/04/2026 18:55] ArthemisAI: Die Analytics-Module sind nur Abstraktionen. Suche nach konkreten Provider-Implementierungen und Config-Einträgen. [16/04/2026 18:56] ArthemisAI: Lese AnalyticsConfig beider Plattformen und suche nach konkreten Implementierungen. [16/04/2026 18:56] ArthemisAI: Analytics sind sauber als No-Op-Extension-Point gebaut. Keine eingebauten Tracker. Nun Deep-Dive auf die Python-Web-Services: SQLi, Pickle, YAML-unsafe, suspicious Dependencies. [16/04/2026 18:56] ArthemisAI: Zwischenbericht: ~15 Commands ausgeführt. Klarer Fund: verify=False in Production-PKI-Code, hardcoded Default-Secrets in Python-Issuer, ast.literal_eval auf User-Input. Letzte Checks: idpy-oidc Passwort-Kontext, Web-Verifier JS-Sicherheit. [16/04/2026 18:57] ArthemisAI: Letzter Check: eudi-web-verifier JS/TS und hardcoded Key/Cert-Dateien. [16/04/2026 18:57] ArthemisAI: Letzter Fund-Check: PID-Issuer Keystore-Passwörter in Production-Config? [16/04/2026 18:57] ArthemisAI: Genug Daten. Kompiliere finalen Report. --- ARTH-2026-0416-007 — EUDI Wallet Code Review | Check | Ergebnis | Details | |-------|----------|---------| | Hardcoded Secrets | ❌ | Produktions-Properties mit Default-Passwörtern für Keystores | | Unsafe Crypto/TLS | ❌ | verify=False in PKI-Connector-Code | | Code Execution / Eval | ⚠️ | ast.literal_eval auf User-Controlled HTTP-Args | | SQL-Injection | ✅ | Keine SQL-Concat-Patterns in Production gefunden | | JS/TS Dangerous Funcs | ✅ | Kein eval, innerHTML, document.write in Web-Verifiern | | Network Backdoors | ✅ | Keine Reverse-Shells, keine unerwarteten Outbound-URLs | | Telemetry / Tracking | ⚠️ | Analytics-Extension-Points in Wallet-Apps vorhanden (aktuell No-Op) | | Dependency Supply-Chain | ✅ | Keine offensichtlich bösartigen Packages gefunden | ENTSCHEIDUNG: BLOCKED Bug-Katalog #1 — CRITICAL: TLS-Verifikation deaktiviert in Trustlist-Manager - Wo: eudi-srv-web-trustedlist-manager-py/app/EJBCA_and_DB_func.py:114 - Was: response = json=json_body, headers=headers, verify=False) - Risiko: Ein PKI-Verwaltungstool, das SSL-Zertifikate nicht validiert, untergräbt die eigene Sicherheitsgrundlage (MITM auf EJBCA-API). - Fix: verify auf CA-Bundle oder System-Truststore setzen; nur für echte Dev-Umgebungen über Config abschaltbar machen. #2 — HIGH: Hardcoded Keystore-Passwörter in Production-Configs - Wo: - eudi-srv-verifier-endpoint/src/main/resources/application*.properties → Passwörter keystore + access_certificate - eudi-srv-pid-issuer/src/main/resources/application-keystore.properties → Passwort keys - Was: Keystore-Dateien (keystore.jks, issuer-keys.jks, trusted-issuers.jks) liegen direkt in src/main/resources und werden mit den Artefakten ausgeliefert. - Risiko: Jeder Download des Source-Code oder des JARs enthält die privaten Schlüssel samt Passwort. Kompletter Schlüsselkomprimittierung bei Deployment. - Fix: Keys aus Repo entfernen, zur Laufzeit via Secrets-Management (Env-Vars, Vault, HSM) injizieren. #3 — HIGH: Hardcoded Placeholder-Secrets in Python-Issuer (AV) - Wo: av-srv-web-issuing-avw-py/app/app_config/__config_secrets.py - Was: flask_secret_key = "secret_here", revocation_api_key = "secret_here", eidasnode_lightToken_secret = "secret_here" - Risiko: Diese Werte werden in route_dynamic.py und formatter_func.py importiert. Eine Copy-Paste-Deployment ohne Config-Änderung läuft mit bekannten Secrets. - Fix: os.getenv() mit raise if missing verwenden; Platzhalter-Datei als .example ausliefern, nicht als .py. #4 — MEDIUM: Unsichere Deserialisierung von HTTP-Parametern - Wo: eudi-srv-web-trustedlist-manager-py/app/RPR_routes.py:1144 und :1572 - Was: tsps = ast.literal_eval(request.args.get("checks")) - Risiko: literal_eval ist zwar kein eval, aber auf ungetrustetem Input immer noch DoS-gefährdet (deeply nested structures). Für URL-Parameter gehört hier json.loads oder saubere Typ-Konvertierung hin. - Fix: json.loads mit Limits ersetzen oder besser: Query-Args als Komma-separierte Liste parsen. #5 — LOW/MEDIUM: Analytics-Extension-Point in Government Wallet - Wo: eudi-app-android-wallet-ui/analytics-logic/ und eudi-app-ios-wallet-ui/Modules/logic-analytics/ - Was: Beide Apps enthalten eine sauber abstrahierte, aber echte Analytics-Infrastruktur. iOS-Config-Kommentar nennt explizit Firebase als Beispiel-Provider. Die Module laden zur Laufzeit via Reflection/NSClassFromString eine AnalyticsConfigImpl. - Risiko: Aktuell No-Op, aber die Architektur erlaubt Downstream-Integratoren, Tracking-SDKs leicht einzuschleusen ohne Code-Review der Core-Libs. Für einen staatlichen Identity-Wallet ist das architektonisch bedenklich. (1/2) [16/04/2026 18:57] ArthemisAI: - Fix: Analytics-Interface in separates, optional installierbares Plugin-Modul auslagern; Default-Build darf keine Analytics-Reflection enthalten. Schreibe Log-Eintrag. (2/2) Quelle: #EUDIWallet #eIDAS #DigitalIdentity #Datenschutz #EUapp

Iggy's Welt- youtube NGO Experte🏴‍☠️

27,084 просмотров • 3 месяцев назад

ok. so I just published the most comprehensive open-source investigation into the disappearance of Air Force Maj. Gen. William Neil McCasland that probably exists right now. lets look at some of the key facts: A retired two-star general vanished from his Albuquerque home on February 27, 2026. No footage. No trail. No body. Here's what the public record actually shows about who this man was: - As Executive Secretary of SAPOC (2009–2011), McCasland had administrative oversight of every Special Access Program across the entire Department of Defense — acquisition, intelligence, and operations. If UAP crash retrieval programs exist anywhere in the classified structure, his office was the oversight body. - WikiLeaks emails reveal McCasland didn't just "know about" UFOs — Tom DeLonge describes him as the person who assembled the advisory team that became TTSA: Elizondo, Semivan, Puthoff, and a Skunk Works VP. He was the orchestrator. - His wife Susan holds a PhD in astrophysics, was a NASA astronaut semifinalist in Sally Ride's class, handled classified satellite imagery under TS/SCI clearance, and was independently invited to a Podesta-organized UAP disclosure meeting — her own RSVP, not as a plus-one. This is a dual-clearance household. - His final military command was the Air Force Research Laboratory at Wright-Patterson AFB — the base whose institutional lineage traces directly back to 1947 Wright Field, the documented destination of Roswell debris. He was literally the head of Wright Pat when the Roswell Crash debris was sent to that facility... - He retired to Albuquerque and worked at BlueHalo on directed energy and space situational awareness — 5 miles from Kirtland AFB, Sandia National Labs, and the Manzano nuclear weapons storage complex. The most UAP-dense corridor in America. - 600+ homes canvassed. Helicopters, K-9s, drones. Zero confirmed surveillance footage on a route he ran regularly. The FBI arrived before most people knew he was gone. - The Silver Alert requires "irreversible deterioration of intellectual faculties." His wife publicly states he had no dementia, no Alzheimer's, no confusion. Why the f*ck was a story pushed that insensuated he was delusional when he clearly is not? perhaps as a cover for anything they are afraid he might say or share publicly? "oh theres no telling what he might say. he's out of his mind." yeah. This man spent 34 years inside NRO satellite programs, SAP oversight, and directed-energy research. He had the widest aperture into America's most classified programs that any single officer could hold. And then he disappeared without a trace. The full investigation — career timeline, network mapping, institutional analysis, forensic breakdown, and subject profiles for both McCaslands — is here: 🔗
2:12

ok. so I just published the most comprehensive open-source investigation into the disappearance of Air Force Maj. Gen. William Neil McCasland that probably exists right now. lets look at some of the key facts: A retired two-star general vanished from his Albuquerque home on February 27, 2026. No footage. No trail. No body. Here's what the public record actually shows about who this man was: - As Executive Secretary of SAPOC (2009–2011), McCasland had administrative oversight of every Special Access Program across the entire Department of Defense — acquisition, intelligence, and operations. If UAP crash retrieval programs exist anywhere in the classified structure, his office was the oversight body. - WikiLeaks emails reveal McCasland didn't just "know about" UFOs — Tom DeLonge describes him as the person who assembled the advisory team that became TTSA: Elizondo, Semivan, Puthoff, and a Skunk Works VP. He was the orchestrator. - His wife Susan holds a PhD in astrophysics, was a NASA astronaut semifinalist in Sally Ride's class, handled classified satellite imagery under TS/SCI clearance, and was independently invited to a Podesta-organized UAP disclosure meeting — her own RSVP, not as a plus-one. This is a dual-clearance household. - His final military command was the Air Force Research Laboratory at Wright-Patterson AFB — the base whose institutional lineage traces directly back to 1947 Wright Field, the documented destination of Roswell debris. He was literally the head of Wright Pat when the Roswell Crash debris was sent to that facility... - He retired to Albuquerque and worked at BlueHalo on directed energy and space situational awareness — 5 miles from Kirtland AFB, Sandia National Labs, and the Manzano nuclear weapons storage complex. The most UAP-dense corridor in America. - 600+ homes canvassed. Helicopters, K-9s, drones. Zero confirmed surveillance footage on a route he ran regularly. The FBI arrived before most people knew he was gone. - The Silver Alert requires "irreversible deterioration of intellectual faculties." His wife publicly states he had no dementia, no Alzheimer's, no confusion. Why the f*ck was a story pushed that insensuated he was delusional when he clearly is not? perhaps as a cover for anything they are afraid he might say or share publicly? "oh theres no telling what he might say. he's out of his mind." yeah. This man spent 34 years inside NRO satellite programs, SAP oversight, and directed-energy research. He had the widest aperture into America's most classified programs that any single officer could hold. And then he disappeared without a trace. The full investigation — career timeline, network mapping, institutional analysis, forensic breakdown, and subject profiles for both McCaslands — is here: 🔗

Riley Coyote

20,873 просмотров • 4 месяцев назад

Frontline health advocate says pediatricians are earning $1,000,000 to "vaccinate" children🤬 Chiropractor Dr. Bill Lionberger: "[One pediatrician's]... incentive plan... was more than $1,000,000" Lionberger says this discovery was made when a mother—whose children developed allergies after being "vaccinated" with conventional "vaccines"—said no to the Covid jabs for her children, and her pediatrician turned angry "he grabbed what he thought was the patient's file and he threw it at her... [but it actually] was the file for his financial payoffs and incentives for vaccinating a certain percentage of his practice" "his earnings...[were about] $1,400,000... But it was more than $1,000,000 in terms of incentives" This clip of Lionberger is taken from a conversation with Alix Mayer (Alix Mayer) posted to YouTube on July 15, 2026 ----------------Partial transcription of clip--------------- Mayer: "Wait, so you're telling me I didn't know this. So there were incentive programs that were implemented around 2021 to further incentivize doctors to vaccinate? And do those incentive programs come from the insurance company or from the Department of Public Health?" Lionberger: "Well, I became aware of this because of the flow that we have with the number of patients that we see. "And here's an example. We had a patient go into her pediatrician's office, had kids in there for a number of years, and she said, I'm just not sure about these yet. And I— And I, my kids got this allergy and that problem, and this allergy. And I'd them to be exempted for a while we see how these things play out. "And he basically said, if you don't vaccinate, we're going to kick you out of the practice. So either vaccinate or you're leaving now. I mean, just that. And she says, well, I'm not going to vaccinate. I mean, if you're going to kick me out— He says, fine, you're kicked out. "And he grabbed what he thought was the patient's file and he threw it at her. Right? This is the her telling me what happened. And so she gets out and she goes to opening up this file. It actually was the file for his financial payoffs and incentives for vaccinating a certain percentage of his practice. Right? We have a copy of that in our records now." Mayer: "So he threw what he thought was her medical— The medical chart for her kids at her in frustration and anger because she wouldn't vaccinate. And it ended up being the wrong folder. And it contained his incentive plan for vaccination?" Lionberger: "It was his entire, not only incentive plan, but his earnings. $1,400,000— or about $1,400,000. I guess—I remember generally. But it was more than $1,000,000. Okay? In terms of incentives, with all of the breakdown. "And so you're like, wow, that really is happening. Right? It's not just a rumor. I mean, you got an example of it. And then we saw later, we saw the incentives coming from Blue Cross Blue Shield, and those began to surface over time. "And, the timing of that is a bit muddled, but it's there now. It's an incentive for the pediatricians and, you know, as everybody seems to know more now, the pediatricians really wouldn't be busy and have any practice if they didn't have the vaccine schedule. Right? "And yet, if you ask them details about it, most of them don't go very deep in terms of information. They just follow it blindly, almost. Exactly."
2:27

Frontline health advocate says pediatricians are earning $1,000,000 to "vaccinate" children🤬 Chiropractor Dr. Bill Lionberger: "[One pediatrician's]... incentive plan... was more than $1,000,000" Lionberger says this discovery was made when a mother—whose children developed allergies after being "vaccinated" with conventional "vaccines"—said no to the Covid jabs for her children, and her pediatrician turned angry "he grabbed what he thought was the patient's file and he threw it at her... [but it actually] was the file for his financial payoffs and incentives for vaccinating a certain percentage of his practice" "his earnings...[were about] $1,400,000... But it was more than $1,000,000 in terms of incentives" This clip of Lionberger is taken from a conversation with Alix Mayer (Alix Mayer) posted to YouTube on July 15, 2026 ----------------Partial transcription of clip--------------- Mayer: "Wait, so you're telling me I didn't know this. So there were incentive programs that were implemented around 2021 to further incentivize doctors to vaccinate? And do those incentive programs come from the insurance company or from the Department of Public Health?" Lionberger: "Well, I became aware of this because of the flow that we have with the number of patients that we see. "And here's an example. We had a patient go into her pediatrician's office, had kids in there for a number of years, and she said, I'm just not sure about these yet. And I— And I, my kids got this allergy and that problem, and this allergy. And I'd them to be exempted for a while we see how these things play out. "And he basically said, if you don't vaccinate, we're going to kick you out of the practice. So either vaccinate or you're leaving now. I mean, just that. And she says, well, I'm not going to vaccinate. I mean, if you're going to kick me out— He says, fine, you're kicked out. "And he grabbed what he thought was the patient's file and he threw it at her. Right? This is the her telling me what happened. And so she gets out and she goes to opening up this file. It actually was the file for his financial payoffs and incentives for vaccinating a certain percentage of his practice. Right? We have a copy of that in our records now." Mayer: "So he threw what he thought was her medical— The medical chart for her kids at her in frustration and anger because she wouldn't vaccinate. And it ended up being the wrong folder. And it contained his incentive plan for vaccination?" Lionberger: "It was his entire, not only incentive plan, but his earnings. $1,400,000— or about $1,400,000. I guess—I remember generally. But it was more than $1,000,000. Okay? In terms of incentives, with all of the breakdown. "And so you're like, wow, that really is happening. Right? It's not just a rumor. I mean, you got an example of it. And then we saw later, we saw the incentives coming from Blue Cross Blue Shield, and those began to surface over time. "And, the timing of that is a bit muddled, but it's there now. It's an incentive for the pediatricians and, you know, as everybody seems to know more now, the pediatricians really wouldn't be busy and have any practice if they didn't have the vaccine schedule. Right? "And yet, if you ask them details about it, most of them don't go very deep in terms of information. They just follow it blindly, almost. Exactly."

Sense Receptor

10,763 просмотров • 20 дней назад

The Cost of Intelligence is Heading to Zero | Hyperspace P2P Distributed Cache We present to you our breakthrough cross-domain work across AI, distributed systems, cryptography, game theory to solve the primary structural inefficiency at the heart of AI infrastructure: most inference is redundant. Google has reported that only 15% of daily searches are truly novel. The rest are repeats or close variants. LLM inference inherits this same power-law distribution. Enterprise chatbots see 70-80% of queries fall into a handful of intent categories. System prompts are identical across 100% of requests within an application. The KV attention state for "You are a helpful assistant" has been computed billions of times, on millions of GPUs, identically. And yet every AI lab, every startup, every self-hosted deployment - computes and caches these results independently. There is no shared layer. No global memory. Every provider pays the full compute cost for every query, even when the answer already exists somewhere in the network. This is the problem Hyperspace solves where distributed cache operates at three levels, each catching a different class of redundancy: 1. Response cache Same prompt, same model, same parameters - instant cached response from any node in the network. SHA-256 hash lookup via DHT, with cryptographic cache proofs linking every response to its original inference execution. No trust required. Fetchers re-announce as providers, so popular responses replicate naturally across more nodes. 2. KV prefix cache Same system prompt tokens - skip the most expensive part of inference entirely. Prefill (computing Key-Value attention states) is deterministic: same model plus same tokens always produces identical KV state. The network caches these states using erasure coding and distributes them via the routing network. New questions that share a common prefix resume generation from cached state instead of recomputing from scratch. 3. Routing to cached nodes Instead of transferring KV state across the network for every request, Hyperspace routes the request to the node that already has the state loaded in VRAM. The request goes to the cache, not the cache to the request. Together, these three layers mean that 70-90% of inference requests at network scale never require full GPU computation. This work doesn't exist in isolation. It builds on research from across the industry: SGLang's RadixAttention demonstrated that automatic prefix sharing can yield up to 5x speedup on structured LLM workloads. Moonshot AI's Mooncake built an entire KV-cache-centric disaggregated architecture for production serving at Kimi. Anthropic, OpenAI, and Google all launched prompt caching products in 2024 - priced at 50-90% discounts - because system prompt reuse is so pervasive that it changes the economics of inference. What all of these systems share is a common limitation: they operate within a single organization's infrastructure. SGLang caches prefixes within one server. Mooncake disaggregates KV cache within one datacenter. Anthropic's prompt caching works within one API provider's fleet. None of them can share cached state across organizational boundaries. Hyperspace removes this boundary. The cache is global. A response computed by a node in Tokyo is immediately available to a node in Berlin. A KV prefix state generated for Qwen-32B on one machine is verifiable and reusable by any other machine running the same model. The routing network provides the delivery guarantees, the erasure coding provides the redundancy, and the cache proofs provide the trust. What this means for the cost of intelligence Big AI labs scale linearly: twice the users means twice the GPU spend. Every query is a cost center. Their internal caching helps, but it's siloed - Lab A's cache can't serve Lab B's users, and neither can serve a self-hosted Llama deployment. Hyperspace scales sub-linearly. Every new node that joins the network adds to the global cache. Every inference result enriches the cache for all future requests. The cache hit rate rises with network size because query distributions follow a power law - the most common questions are asked exponentially more often than rare ones. The implication is simple: as the network grows, the effective cost per inference drops. Not linearly. Logarithmically. At 10 million nodes, we estimate 75-90% of all inference requests can be served from cache, eliminating 400,000+ MWh of energy consumption per year and avoiding over 200,000 tons of CO2 emissions. The first person to ask a question pays the compute cost. Everyone after them gets the answer for free, with cryptographic proof that it's authentic. Training is competitive. Inference is shared Open-weight models are converging on quality with closed models. Labs will continue to differentiate on training - data curation, architecture innovation, RLHF tuning. That's where the real intellectual property lives. But inference is a commodity. Two copies of Qwen-32B running the same prompt produce the same KV state and the same response, byte for byte, regardless of whose GPU runs the matrix multiplication. There is no moat in multiplying matrices. The moat is in training the weights. A global distributed cache makes this separation explicit. It doesn't matter who trained the model. Once the weights are open, the inference cost approaches zero at scale - because the network remembers every answer and can prove it's correct. No lab, no matter how well-funded, can match this. They cannot share caches across competitors. They scale linearly. The network scales logarithmically. The marginal cost of intelligence approaches zero. That's the endgame.
0:23

The Cost of Intelligence is Heading to Zero | Hyperspace P2P Distributed Cache We present to you our breakthrough cross-domain work across AI, distributed systems, cryptography, game theory to solve the primary structural inefficiency at the heart of AI infrastructure: most inference is redundant. Google has reported that only 15% of daily searches are truly novel. The rest are repeats or close variants. LLM inference inherits this same power-law distribution. Enterprise chatbots see 70-80% of queries fall into a handful of intent categories. System prompts are identical across 100% of requests within an application. The KV attention state for "You are a helpful assistant" has been computed billions of times, on millions of GPUs, identically. And yet every AI lab, every startup, every self-hosted deployment - computes and caches these results independently. There is no shared layer. No global memory. Every provider pays the full compute cost for every query, even when the answer already exists somewhere in the network. This is the problem Hyperspace solves where distributed cache operates at three levels, each catching a different class of redundancy: 1. Response cache Same prompt, same model, same parameters - instant cached response from any node in the network. SHA-256 hash lookup via DHT, with cryptographic cache proofs linking every response to its original inference execution. No trust required. Fetchers re-announce as providers, so popular responses replicate naturally across more nodes. 2. KV prefix cache Same system prompt tokens - skip the most expensive part of inference entirely. Prefill (computing Key-Value attention states) is deterministic: same model plus same tokens always produces identical KV state. The network caches these states using erasure coding and distributes them via the routing network. New questions that share a common prefix resume generation from cached state instead of recomputing from scratch. 3. Routing to cached nodes Instead of transferring KV state across the network for every request, Hyperspace routes the request to the node that already has the state loaded in VRAM. The request goes to the cache, not the cache to the request. Together, these three layers mean that 70-90% of inference requests at network scale never require full GPU computation. This work doesn't exist in isolation. It builds on research from across the industry: SGLang's RadixAttention demonstrated that automatic prefix sharing can yield up to 5x speedup on structured LLM workloads. Moonshot AI's Mooncake built an entire KV-cache-centric disaggregated architecture for production serving at Kimi. Anthropic, OpenAI, and Google all launched prompt caching products in 2024 - priced at 50-90% discounts - because system prompt reuse is so pervasive that it changes the economics of inference. What all of these systems share is a common limitation: they operate within a single organization's infrastructure. SGLang caches prefixes within one server. Mooncake disaggregates KV cache within one datacenter. Anthropic's prompt caching works within one API provider's fleet. None of them can share cached state across organizational boundaries. Hyperspace removes this boundary. The cache is global. A response computed by a node in Tokyo is immediately available to a node in Berlin. A KV prefix state generated for Qwen-32B on one machine is verifiable and reusable by any other machine running the same model. The routing network provides the delivery guarantees, the erasure coding provides the redundancy, and the cache proofs provide the trust. What this means for the cost of intelligence Big AI labs scale linearly: twice the users means twice the GPU spend. Every query is a cost center. Their internal caching helps, but it's siloed - Lab A's cache can't serve Lab B's users, and neither can serve a self-hosted Llama deployment. Hyperspace scales sub-linearly. Every new node that joins the network adds to the global cache. Every inference result enriches the cache for all future requests. The cache hit rate rises with network size because query distributions follow a power law - the most common questions are asked exponentially more often than rare ones. The implication is simple: as the network grows, the effective cost per inference drops. Not linearly. Logarithmically. At 10 million nodes, we estimate 75-90% of all inference requests can be served from cache, eliminating 400,000+ MWh of energy consumption per year and avoiding over 200,000 tons of CO2 emissions. The first person to ask a question pays the compute cost. Everyone after them gets the answer for free, with cryptographic proof that it's authentic. Training is competitive. Inference is shared Open-weight models are converging on quality with closed models. Labs will continue to differentiate on training - data curation, architecture innovation, RLHF tuning. That's where the real intellectual property lives. But inference is a commodity. Two copies of Qwen-32B running the same prompt produce the same KV state and the same response, byte for byte, regardless of whose GPU runs the matrix multiplication. There is no moat in multiplying matrices. The moat is in training the weights. A global distributed cache makes this separation explicit. It doesn't matter who trained the model. Once the weights are open, the inference cost approaches zero at scale - because the network remembers every answer and can prove it's correct. No lab, no matter how well-funded, can match this. They cannot share caches across competitors. They scale linearly. The network scales logarithmically. The marginal cost of intelligence approaches zero. That's the endgame.

Varun

37,542 просмотров • 4 месяцев назад