
Noisy
@noisyb0y1 • 28,257 subscribers
AI researcher & engineer | turning ideas into tools
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AN OXFORD STUDENT IS RUNNING A PARTICLE SIMULATION WITH REAL PEOPLE'S NAMES AND CLAIMS CERN IS TAUNTING HIM THROUGH THE CODE Thousands of particles on a black screen - each one labeled with a real person's name - moving according to the laws of physics in real time and he is completely convinced this is not a simulation but a personal message from CERN directed at him specifically. Particle simulation with collision detection, velocity vectors and brownian motion - technically flawless code that tracks every particle individually and renders trajectories at 60 fps. CERN operates a 17km collider that accelerates protons to 99.9999991% the speed of light and generates a petabyte of data every single day - and apparently found the time to encode Oxford student names into a simulation. The code is real. The physics is correct. The conclusions are a separate conversation.
Noisy5,728,002 views • 5 months ago

22-year-old makes $187,000 a month on Airbnb without owning a single property. He rents apartments from landlords at standard long-term rates, furnishes them and lists them on Airbnb at short-term prices that are significantly higher. The difference between what he pays the landlord and what guests pay - that's his profit from each apartment every month. He now has 30+ properties and his revenue almost doubled last month - closing in on $200,000. No bank loan to buy real estate, no personal capital - just signed rental agreements and the right listing on the platform.
Noisy2,593,630 views • 5 months ago

She built 100+ agents for Anthropic and made $1.5M - and in 60 minutes leaked everything she knows at Stanford: 03:07 - her first agent for Anthropic brought her $1.5M 09:34 - agents replace a team of 50 engineers worth $200k a month 21:47 - one agent did overnight what the company planned for 5 years after watching I launched my first agent - $12k in the first week and zero employees needed. Save & watch - the article below is step by step how to build your first agent like hers.
Noisy19,030 views • 2 days ago

ANTHROPIC LEAKED A FILE THAT BUILDS A BUSINESS IN 45 MINUTES - IT HUNTS CUSTOMERS ON ITS OWN AND BRINGS $70K IN THE FIRST MONTH in month one the system pulls 140+ customers, in month two the profit number goes past $180K root → offer → surface → hunt → clock → back into the root the first 9 minutes you write 3 lines no model can write for you: who buys, what we sell, at what price. get those wrong and the next 36 minutes automate the wrong business perfectly. the offer is one page, not a deck: the pain, the objection, the price. the page, the payment link and the replies get built by 4 files in parallel in 5 minutes. the first chain listens where your buyer complains - thousands of signals scored cheaply, a handful get a real letter. a personal letter to someone who was never buying is a paid guess. the second chain publishes 5 variants a day - one post is a guess, five a day for a month is a distribution. the third chain is the cheapest: every closed deal describes the next one, and tomorrow the hunt runs a narrower list. in the morning you read 3 numbers: conversations, replies, paid - if the first grows and the third doesn't, the offer is the problem. and the honest part: 45 minutes buys distribution attempts, not demand - the machine runs whether or not anyone wants it. save this and paste it into Claude Code - an hour builds the machine, the market decides the number ↓
Noisy12,027 views • 1 day ago

She's 18 built an AI agent with Opus 5 and sold it to Anthropic for $3.2M - and came to Stanford to show how to do it from scratch: 00:34 - how Opus 5 builds a $3.2M agent in one evening 15:34 - 4 agents replaced 400 Anthropic engineers 34:47 - from first prompt to a $3.2M check from Anthropic after watching I spent 60 minutes building my first agent - it cut my workday by 90% and a week later I got a $100k check from Anthropic: save & watch - article below on how to go from one prompt in Claude Code to an agent people pay millions for.
Noisy250,016 views • 1 month ago

ex engineer who spent 4 years at Anthropic put the entire $4.2M Claude Code playbook into one book no need to drop $2000 on a course to understand how cheap agents are built, the first 4 pages cover it: > page 1: where exactly 80% of your tokens disappear > page 2: the 4 blocks of a working agent, and 90% don't even know the first one > page 3: 12 cheap agents from the engineer himself, 2 minutes instead of an hour > page 4: the one line that keeps an agent running 24/7 for free every page is a ready setup you paste in and run in 5 minutes, no theory book in the comments ↓
Noisy23,004 views • 4 days ago

A GERMAN DEVELOPER REPLACED HIS ENTIRE DEV TEAM WITH KIMI K2.6, VISUALIZED EVERYTHING IN OBSIDIAN AND NOW MAKES $80,000/MONTH SOLO 1 trillion parameters, 32 billion activated per token and a SWE-Bench score of 65.8 - Kimi K2.6 reads the entire client codebase, understands the architecture, writes production code and ships for $150-300 in API costs while a traditional agency pays developers $4,800 for the exact same project. 300 parallel agents per run deliver 100+ files simultaneously - search, analysis, coding and writing all in parallel - and Obsidian visualizes the entire knowledge graph in real time while the agents work. A traditional agency with 10-15 people keeps 30% margin after salaries. He keeps 90% - $72,000 in monthly profit with $500 in overhead. By month 10 Kimi handles 80% of the technical work and he manages only strategy and client relationships - while Obsidian maps every project, every client and every agent in one graph that updates itself.
Noisy851,072 views • 5 months ago

She built 100+ agents for Anthropic and made $1.3M - and in 60 minutes leaked everything she knows at Stanford: 02:07 - her first agent for Anthropic brought her $1.3M 08:34 - agents replace a team of 50 engineers worth $200k a month 19:47 - one agent did overnight what the company planned for 5 years after watching I launched my first agent - $7k in the first week and zero employees needed. Save & watch - the article below is step by step how to build your first agent like hers.
Noisy380,768 views • 2 months ago

APPLE JUST SHOWED HOW TO RUN 10 AI AGENTS LOCALLY ON MAC - NO CLOUD, NO API KEYS, ZERO COSTS 00:10 Apple engineer says: "your data stays on your device, AI available anywhere at any time, zero usage costs" agent reads your code, checks GitHub, finds what needs attention and writes a report - all on your Mac, nothing goes to the internet 10 agents work simultaneously - one writes code, another tests, third fixes bugs - parallel with no queue built a full iPad app from scratch in 2 minutes, fixed its own mistakes and compiled without issues takes 5 minutes to set up - and you never pay again for a bot that runs 24/7
Noisy526,822 views • 4 months ago

17 year old Spanish student opened Google Maps and typed "roofing contractors near me." Found Maggie Roofing Contractors - 5.0 stars, 5 reviews and no website. A company doing $5,000-15,000 roofing jobs that nobody can find online. He pasted their name and reviews into ChatGPT 5.5. 2 minutes later - a complete website brief with tone of voice, page structure and SEO meta tags. Opened Emergent, pasted the brief - an hour later a live site with a "Scranton's Trusted Roofing Experts" header, services section and a "Call Now" button. Then he opened Gmail and sent them a link to the finished preview. Not a proposal - a finished product they could already see. The owner called the next morning. Because he'd been meaning to build a website for two years and never found the time. First week - 7 emails sent, 3 clients, $4,200. First month - $11,000. Five million businesses on Google Maps are still waiting for that email.
Noisy706,634 views • 6 months ago

Anthropic just shared one of their most expensive systems, a $4.2M one, for Claude Code It rewrites a codebase agencies quote at $240,000 in 7 minutes for 88 cents. most rewrites die the same way: you dump 212 files of old logic into the model and it drowns REA reverse-engineers the old system once and writes a spec instead, every endpoint, every rule, every edge case 12 Sonnet 5.5 agents build from that spec, one module each, and none of them touches the old code Opus 5.5 writes the plan, then sits idle the whole run, so you pay almost nothing at the end REA replays the new system against the old one, 148 of 148 behaviours match Opus plans. REA reverse-engineers. Sonnet builds. save it, tomorrow this will be sold in $500 courses ↓
Noisy37,509 views • 10 days ago

I built a bot for 5-min BTC markets using OpenClaw $50 -> $823 This type of market has a crazy opportunity since every trade is basically 2x. If your win rate is above 50%, you can realistically scale to $10,000+ examples: NickyNic / +$82,000 in a day profile: Xander-corvus2 / +$102,299 in a day profile: These aren't some pro traders, two profiles were created just days ago, they just know how to use Fast-Loop properly that's exactly why i built this bot > scans arbitrage every 5 mins > compares price with Binance and CoinGecko The result is a fully automated 24/7 system - it catches the move before Polymarket reacts and enters first
Noisy593,970 views • 8 months ago

American YouTuber Davhy Davis made $127,895 from Epic Games just building maps in Fortnite on a regular computer from his room. He's not a programmer or a gamer with a team. He just understood one simple thing - Epic pays for every minute a player spends on your map, and tycoon maps keep people for 45-90 minutes per session. You can do the same thing on any computer right now and make $7,000 to $10,000 a month without leaving your room. Claude writes all the code for you - no programming experience needed. $722 million already paid out to creators. 58 people became millionaires in 2024. And until the end of 2026 Epic gives 100% of item sales on your map. They're literally giving money away. The only question is who gets in while the window is open.
Noisy403,274 views • 6 months ago

They built an AI agent in 20 minutes and sold it to Anthropic for $100k - and at Stanford showed how to repeat it from scratch: 02:00 - how to build your first agent with Opus 5 in 20 minutes 22:34 - one agent replaces an Anthropic engineering team worth $200k a year 49:47 - how to make $1.2M a year selling agents to Anthropic and Google after watching I spent 20 minutes in Claude Code - the agent replaced 10 Anthropic engineers and they paid $100k and asked for more. save & watch - the article below shows how to build an agent in Claude Code in 20 minutes and reach $1.2M a year.
Noisy135,124 views • 2 months ago

She is 18 built an AI agent with live memory and Anthropic bought it for $2.2M - and at Stanford shared how to repeat it from scratch: 00:40 - how Opus 5 builds an agent with live memory from scratch in 60 minutes 18:44 - the live memory system replaced 500 Anthropic engineers 39:42 - from first agent to $2.2M from Anthropic after watching I gave Opus 5 one prompt - an agent with live memory appeared in an hour I sent an invoice to Anthropic and got a check for $120k. save & watch - the article below shows how to build an AI agent with live memory and sell it to Anthropic for $2.2M.
Noisy88,300 views • 1 month ago

My friend makes $1.3 million a year as an Apple engineer. He sent me a video that was never supposed to get out and said: "Watch this, you'll understand everything." It's a guide on setting up a Mac Mini for a bot that does all your work 24/7 while you sleep. I watched it and realized I've been configuring my computer completely wrong for two years. Now I don't do the developer's job - a $600 Mac Mini does it. Watch the video below then read the article.
Noisy235,869 views • 3 months ago

Claude Opus 5.5 drew my apartment in 3D and found 3 cameras in it that are not mine... one prompt, 20 minutes, two of them were still sending audio out here is exactly how it went: → I started one agent in the terminal on a laptop sitting on my home Wi-Fi and left it alone → it swept the network first and listed every device it could see, with brand and model where it could match one → then it measured signal strength from a few spots in the flat and built a rough room layout out of that → every device got pinned onto that layout, so instead of a list of IPs I was looking at a map of my own place → anything it could not tie to something I own got flagged on its own, with what it was transmitting and roughly where it sat three of those flags were cameras. two more were audio only. I had lived there two years and walked past all five every day the whole thing ran on one prompt and I never touched the keyboard after the first line full run on video, prompt in the replies ↓
Noisy11,277 views • 4 days ago

A HUMAN INVENTED A TOOL THAT CAN BUILD A MILLION-DOLLAR COMPANY - AND IT'S FREE Vannevar Bush described this idea back in 1945 - a machine that expands the human brain to infinity, stores everything you know and connects every idea to every other one automatically. For 80 years nobody could build it. Now it's a free app on your laptop. One properly built Obsidian vault replaces an operations director, an analyst, a content strategist and a project manager simultaneously - running 24 hours a day with no days off, no salary and no Slack messages asking for clarification. The people who figured this out first are already running $15,000-$20,000/month businesses completely alone, no team, no office, no investors. The limits of this tool are the limits of your thinking. And judging by what the best users are doing with it - there are no limits.
Noisy307,918 views • 5 months ago

This 2-hour lecture by Andrej Karpathy - co-founder of OpenAI, the man who coined "vibe coding" - will build GPT from scratch and show you exactly why message 30 costs you 31x more than message 1. Bookmark this & give it 2 hours today, no matter what. It's the best thing you can do for your Claude budget. Then read the article below. After this, you'll never pay for tokens Claude spends talking to itself again.
Noisy364,087 views • 6 months ago

OXFORD AI PROFESSOR FED 100,000 MANUSCRIPTS DATING BACK TO 3000 BCE INTO A SINGLE KNOWLEDGE GRAPH - AND THEN ASKED IT HOW MUCH TRUTH IS IN MORMONISM the answer came back at 2% this is what an AI brain looks like when you've trained it on over 100,000 historical manuscripts going back to 3000 BCE every node in the graph is a concept and every connection shows how ideas relate across 5,000 years of human knowledge the system didn't just give an answer - it traced its reasoning across thousands of interconnected sources and cross-referenced historical records before producing a single number he's now taking questions on what to ask it next the list of topics people want tested is exactly what you'd expect.
Noisy267,834 views • 5 months ago