Cortex

HE TURNED $4 MILLION INTO $8.5 BILLION. IN ONE SINGLE TRADE HE MADE A BILLION DOLLARS IN A YEAR. THEN HE SAT DOWN ON CAMERA AND CALLED THE PROCESS PAINFUL. George Soros. Born in Hungary, 1930. Started the Quantum Fund in 1969 with $4 million. By the time of this interview it was worth $4.5 billion. His average return over 26 years: 35% a year. Not one good year. Twenty-six. In 1992 he bet against the British pound. The fund made around a billion dollars. Charlie Rose asks him about it and Soros brushes it off - he calls it just one of the many things we do. Then he gives the number that actually matters. Across all his funds in a single year, profit of $3.8 billion. And then the part nobody expects. Rose asks what it costs him. Soros says making money in the stock market is a very painful process. Tremendous tension. A deep sacrifice. He says there was always a large element of pain, because when you are wrong you have to feel that you are wrong. And then correct it. Rose asks if the pain makes him a better investor. Soros says definitely. Without it you get carried out - you would not notice you had lost your touch, you would stay in the wrong position, and that would be the end of you. Then the line that kills every fantasy about him. Rose asks whether he ever bet everything. Soros says no. Never. He calls himself a survivor, and says he is a survivor precisely because he avoids those risks. He pushes to the limit of acceptable risk. Never past it. At $100 million in 1979 he stopped and asked what it was all for. He started giving it away. By 1994 the Soros foundations had committed roughly a billion dollars, and he was spending 80% of his time on it instead of on money. His whole philosophy is one sentence: we are all fallible. Not the other guy. You. charlie rose interview with george soros. free on youtube.

He built 100+ AI companies and now in 30 minutes shows how to launch your first one: 02:00 - how Andrew Ng finds AI company ideas that don't exist yet 06:34 - how to launch an AI startup in a week without investors and a team 25:47 - why 90% of AI startups fail and how to not be in that 90% after watching I realized my AI idea already exists - I just haven't launched it yet. Bookmark & watch - the article below shows how to launch your first AI company from scratch in a week.

ANDREW NG SHOWED 4 STEPS FROM PROMPT TO PRODUCTION AGENT - THE SYSTEM TOOK 12 YEARS AND COST $2.3M TO BUILD built on 700+ hours of lectures - and in 4 steps he explained what most people never figure out in years Reflection → Tool Use → Planning → Multi-Agent step 1 - Reflection - draft, self-critique, revise - cheapest way to raise quality 2x step 2 - Tool Use - without tools the agent is a confident guesser - tools give facts instead of guesses step 3 - Planning - plan before acting, replan on failure - a bad plan executed perfectly is still a bad result step 4 - Multi-agent - Opus 5 plans, Fable 5 executes in parallel - one generalist becomes a team of specialists the 5th pattern nobody lists - graph amplifies all four - every turn writes what it learned and the next builds on it if the agent makes mistakes there are 4 steps that fix it and each costs less than the mistake itself bookmark and read below - 12 years of development in 4 steps for free

ANTHROPIC REPLACED ITS MARKETING AND RESEARCH TEAM OF 18 PEOPLE WITH AI AGENTS AND SAVED $100K/MONTH 18 people, $100K/month, 6 months - and now two layers of agents do it better and faster Graph Memory → Plan → Execute → Evaluate → Update Strategy two layers, one cycle, continuously collects signals and learns from results 6 months of real work: content output up 2.7x - engagement up 63% - lead conversion up 71% - ROI up 185% 11,400+ research tasks - 8,200 content assets - 9,000 automated evaluations for solo founders: $3,200 saved per month - productivity up 80% $100K/month in savings is not the future - it is already happening

I COULDN'T SLEEP FOR 40 HOURS AFTER WATCHING THIS 1996 INTERVIEW WHERE STEVE JOBS EXPLAINED HOW HE LOST HIS FIRST MILLION - AND WHY IT WAS THE BEST DAY OF HIS LIFE in 1985 he was fired from Apple - the company he built himself - and lost everything he had he said it was a blow he never expected - but that was when he understood who he was without the Apple logo on his business card over the next 5 years he founded NeXT and Pixar - no money, no team, no certainty it would work Pixar sold to Disney for $7.4 billion - NeXT was acquired by Apple and brought him back as CEO "I didn't know then that being fired from Apple was giving me the freedom to enter one of the most creative periods of my life" from being fired to the most valuable company in history - and it all started with losing a million and not stopping save this and watch today - the interview that will not let you sleep

Steve Jobs after creating the first iPhone and making his first million: "I realized that money changes people - and decided I would not let it change me" he said this in 2007 when he made his first billion in 1997 Apple was 90 days from bankruptcy - he came back without a salary and made it the most valuable company in history the first iPhone was developed in secret for 2.5 years - 1000 engineers who signed NDAs and couldn't tell even their families from a garage with $1,000 to $3 trillion - and he never let money change how he thought money changes most people at their first million - he stayed himself at his first billion

Sam Altman spent 10 years building the most powerful AI in the world - and just shared everything he knows for free in 40 minutes one developer with the right tools does the work of a team of 100 people at OpenAI 12:32 - the new GPT 6.0 that will change the era of coding forever revealed how AI engineers making $1.6M/year write prompts - step by step guide save this and read the article below to build your first AI app

17-YEAR-OLD FROM JAPAN LAUNCHED 6 AI AGENTS IN PARALLEL AND BUILT A FULL 10-FILE PLATFORM IN ONE SESSION - WHILE HIS CLASSMATES WERE DOING HOMEWORK Ultra Code is not a higher thinking level - it is a team of agents executing all subtasks simultaneously in parallel he gave one business idea - an AI learning community with 6 research directions - and Ultra Code launched 6 agents in parallel each agent got its own direction - community platform, course design, sales funnel, content marketing, operations, tech strategy - all running at the same time after completion a separate agent merged everything into one project - 10 files, HTML pages, CSS, JavaScript - complete deliverable MVP for $49/month described in the project - and all of this was done by a 17-year-old in one session while his classmates were doing homework Ultra Code burns tokens fast - but the result that used to take a team a week now takes one hour

19-YEAR-OLD OXFORD STUDENT BUILT HIS PERSONAL OBSIDIAN BRAIN FROM KARPATHY'S REPO - AND NOW DOES ALL HIS HOMEWORK IN 15 MINUTES one repo from Karpathy, 15 minutes of setup - and a personal knowledge graph with thousands of nodes including AI Chips Ideas and Money talks coding sessions every node is a real work session connected to everything related automatically homework that used to take 6 hours now takes 15 minutes because the brain already knows all the connections between topics classmates saw the results and asked him to do the same - he charges $200 per setup and does it in one hour one Karpathy repo, $0 cost of tools, $200 per session - and a student making more than most graduates

ANTHROPIC LEAD ENGINEER LEAKED AN INTERNAL DOCUMENT THAT EXPLAINS HOW TO BUILD A CHATBOT WORKING 24/7 AND SAVING SOLO DEVELOPERS $400,000 a 7-page PDF worth $2.5M with code to build a hedge fund using loop engineering - 3 years in development Intent → Execute → Evaluate → Memory → Reflect → Orchestrate the bot with a loop recovers after every mistake and gets multiple times better because it learns from errors bookmark this paper and paste it into Claude Code so it knows how to operate - and you get 10x chat

ANTHROPIC ENGINEERS DROPPED A FREE GITHUB REPO WITH 13,800 STARS - AND IT'S BETTER THAN ANY $1,000 AI COURSE 7 steps that make Anthropic engineers 8x more productive global context → project context → memory → task files → current state → success criteria → Claude acts most developers give Claude one layer - Anthropic engineers give it all seven and never rewrite the same prompt twice the repo hit 13,800 stars with zero promotion the kind of number that only happens when something is genuinely too valuable to keep quiet save this before the $1,000 course sellers notice it exists

ANTHROPIC DEVELOPER LEAKED A DOCUMENT WORTH $1.7M TO THE COMPANY - AND GOT FIRED THE SAME DAY at the core is one simple while-loop calls the model, runs tools, repeats - and that one idea changes everything Permission → Context → Delegate → Persist → Repeat one loop, five layers, runs without a human 24/7 Permission: 7 access modes - the agent knows exactly how much power it was given and never steps outside it Context: a five-layer compaction pipeline - the model never loses what matters even across the longest sessions Delegation: the agent spawns its own subagents per task - nobody hands it a list Persistence: results written to disk in append mode - the loop never loses memory Extensibility: MCP, plugins, skills, hooks - any tool connects without rewriting the core 27% of tasks Claude Code completed were work people never even planned to do without it - not acceleration of the existing, but qualitatively new capability 50 pages of open research that changed how I think about agentic systems

THIS TEAM OF DEVELOPERS REPLACED THEIR ENTIRE WORKFLOW WITH AI AND NOW MAKES $40,000/MONTH not freelancers - a team that built a full AI stack and sells it as a service to clients worldwide every person has their role - one builds agents, one sells, one optimizes pipelines, one onboards clients - and AI does most of the actual work between them clients pay $3,000-10,000 per project - the team delivers in 2-3 days instead of 2-3 weeks tools replaced the juniors - Claude Code writes, agents test, automation deploys - the human team only makes decisions and signs contracts $40,000/month from 6-8 clients - and every month the system gets faster because agents learn from previous projects

THIS CHINESE DEVELOPER RUNS A 24/7 AI ASSISTANT FROM AN OLD MACBOOK AND A SAMSUNG MONITOR - $11,000/MONTH old MacBook, Samsung monitor - that's the entire setup needed to run an assistant that never stops the assistant answers clients, books appointments, writes code and delivers results while he does something else most people wait for the perfect setup - he launched a business on hardware most people would throw away old MacBook, Samsung monitor, $11,000/month - and the only thing that matters is that it works

THIS IS THE LARGEST OBSIDIAN BRAIN IN THE WORLD - 3,000 NODES, 7 MANAGERS AND AN ENTIRE BUSINESS RUNNING ON AUTOPILOT 3,000 nodes firing connections in real time - every client, every decision, every department mapped in one graph that never forgets anything and never sleeps 7 manager agents connected to the brain - sales, operations, finance, marketing, HR, research and product - each one reads from the vault, executes tasks and writes results back in after every session sales agent qualifies leads and closes deals - operations agent writes SOPs and onboards clients - finance agent reconciles transactions every night - marketing agent repurposes content across every platform - HR agent tracks team performance - research agent surfaces market opportunities - product agent ships features on demand every agent knows what every other agent did - shared context means zero dropped balls and zero repeated work the brain gets smarter with every cycle - 3,000 nodes today, 10,000 by year end - and every new node makes every manager more accurate most companies pay $200,000/year in management salaries to coordinate what this brain does automatically for $100/month in API costs 3,000 nodes, 7 managers, one brain - and a business that runs whether he opens the laptop or not