Moloch👹 the Machinery ☀️🗿⛩️ 🕍 ⛪️🕋 🕌 🏛️ 🏦🤖

“Wouldn’t everyone wish to have a balanced worldview?” youtu.be/fzzfxmKBz2g?si…

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT. This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years. Bookmark it and give it an hour, no matter what.

Engineers spend 4 years at university and $200,000 to learn what this Stanford lecture gives you in 47 minutes for free. One founder, the right prompts, zero employees, 1000x output. Most people will scroll past this and wonder why they're being outcompeted. The article below gives you 25 prompts that make prompting your most dangerous skill.

a quant at Two Sigma told me something at a bar i can't stop thinking about "retail looks at price. we look at the autocorrelation of price changes - completely different signal" i asked him to explain it like i was 12 he drew on a napkin: if today's move predicts tomorrow's move - even slightly, 53% of the time - that's an edge that edge, sized with Kelly, compounds into something insane data is free - Bloomberg and the Fed publish all of it. math takes a weekend to learn reason retail loses isn't intelligence. it's that they're reading the wrong representation of the same data "a chart hides serial correlation. a time series shows it naked" went home, ran autocorrelation tests on 3 years of SPY data found 4 patterns - statistically significant, all exploitable on a 5-day window signals aren't perfect, right 58% of the time. Kelly says that's enough data was free the whole time, framework sitting in every stats textbook. nobody pointed retail toward it they kept you staring at candles

Anthropic AI engineer just showed how to give AI agents real memory in 4 steps - and it changes everything in 28 minutes he shows exactly how agents can remember across sessions, completely free worth more than any $500 AI engineering course here's what he covers: • why agents forget everything between sessions • memory stores - agents read, write across sessions • dreaming - agents that improve their own memory • 95% cache hit rate, so it stays cheap most people are still copy-pasting context into every new chat - while the people who figured this out are building agents that get smarter every single night watch full video then read article below

ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE. He put it on YouTube. The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo. 3 hours of the most comprehensive LLM education that exists anywhere at any price. Not how to use the tools. How the entire system was built from the ground up and why it behaves the way it does. The engineers who understand this build things the ones who only use the tools cannot even conceive of. The gap between those two groups is not 3 hours. It is everything those 3 hours quietly unlock for the rest of your career.

Two Sigma's Head of AI left Google after 12 years to join a $60B fund that hasn't had a single losing year since 2001 He earns ~$2.5M a year He just gave a 30-minute lecture showing exactly how Two Sigma uses LLMs to predict market prices This is the most secretive quant fund on Wall Street. They never explain how they operate This lecture is the exception The signal combination framework he describes - using AI to weight independent signals and extract a single combined probability - is exactly the 11-step engine in the article below. The math is the same. IR = IC × √N The fund running it at $60B scale just explained it on camera. Watch the 30 minutes. Then read the article below and build the same system on Polymarket.

The secret of Hedge Funds is revealed in this 1 hour lecture. A University of Chicago professor broke down the complete Statistical Arbitrage Strategy hedge funds use to trade market inefficiencies for free. Bookmark & watch, it'll be the highest ROI thing you do this week.

The most expensive engineering teams released their trading tools on GitHub Jane Street, Goldman Sachs, JP Morgan, BlackRock, Two Sigma, Hudson River Trading, D.E. Shaw 1. Jane Street - magic-trace > CPU instruction tracer. > When your profiler is blind, this sees everything. 2. Goldman Sachs - gs-quant > The derivative pricing library GS traders use at their desks. > MIT licensed. 3. JP Morgan - perspective > What JPM traders use to watch markets in real time. > A $24k/year terminal. 4. BlackRock - lcso > Rust portfolio optimizer. > Where scipy gives up, this works. 5. Hudson River Trading - corral > Structured concurrency for C++20. > The foundation of HFT infrastructure at one of the largest trading firms. 6. Two Sigma - flint > Time-series joins on Apache Spark with temporal tolerance. > Built for billions of ticks. 7. D.E. Shaw - pyflyby > Auto-import for IPython and Jupyter. D.E. > Shaw funded the development of IPython itself. These are the tools running under the signal combination engine I built in the article below. Bookmark both.

instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale useful whether you've never built an agent in your life or have been using Claude every day for the past year I took the key ideas and turned them into a practical guide on how to actually build with Kimi find it below

Every quant fund runs one statistical test before a backtest Most retail traders have never heard of it Stevens Institute recorded a 45-minute lecture on exactly what it is and how it works It's the Augmented Dickey-Fuller test - the same stationarity check that sits at the foundation of Part 2 of the signal combination article below Without it you're combining signals that look independent but are all responding to the same regime shift With it you know which signals are actually worth combining Watch it tonight Then the article makes complete sense

A 14 year old in China sold his first Python script for $40 on GitHub. The buyer turned out to be his own CS teacher. He did not find out until the first day back at school, when the teacher put it on the projector as an example of professional AI development. The kid was sitting in the third row. In America they are banning teachers from touching ChatGPT. In China a teacher just paid one of his own students for an AI agent and has no idea. He had built it over winter break instead of seeing his friends. Two weeks of asking Claude questions every night after his parents went to sleep. When the $40 came in he spent all of it on a Fortnite skin the same day and went back to coding. He pushed the project to GitHub with a README in broken English. ai agent that does homework and finds answers from any website. It sat at zero stars. He closed the laptop and went to dinner. GitHub Sponsors does not show the buyer's name. Just a username he had never seen. He did not care. The $40 was already a virtual outfit for a character he plays two hours a day. Then February. First class back. The teacher opened with a presentation on AI agents and ran a demo. A Python script that scans websites, pulls the data, summarizes it with Claude and sends structured reports on its own. I found this tool online and it changed how I prepare my lessons. It pulls from thirty sources in three seconds. This used to take me two hours every evening. The kid recognized everything. The variable names. The file structure. The comments he had left in Chinese because he was too lazy to translate them. His teacher was showing his code to forty students as an example of what a professional developer can build. He did not say anything. He went home and checked the fork count. 847. A university in Beijing had forked it to grade two hundred papers overnight. A tutor in Shanghai forked it into a homework checking service and charges parents fifteen dollars a month. A company in Hangzhou turned it into a support bot for an online store. All from a script a bored kid wrote over winter break with Claude. The forty dollars is a Fortnite skin. The code is running in three cities. His teacher still uses it every day and still has no idea who wrote it. The kid never told him. He said it would be too weird to tell your teacher that the tool he shows off to every class was written by the boy in the third row who still gets a B minus on the coding assignments. He gets the B minus for the code he writes in class, by hand. The A plus code is the one he writes at home with Claude. That is the one the teacher bought for forty dollars and presents as professional work. 847 forks. Three companies. One classroom that runs his code every day. He still sits in the third row. He still gets a B minus. Same kid. Same code. The grade just depends on who is looking.

🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time" he's not talking about people who use AI everyone uses AI. he's talking about people who know the stack. agents. frameworks. tools. workflows. skills. automations Bookmark it.

@MsMelChen Sums up every anti terrorism measure

This is 1984, Minority Report, Person of Interest and Black Mirror all rolled into one and cranked to the power of 1000. This isn’t sci-fi. It’s already happening. In China. Take a look at the “Dynamic Control Platform for Overseas Personnel” run by China’s Ministry of Public Security. It’s a live demo system fed with actual data on foreigners and plenty of Chinese nationals too. Real-time face recognition cameras track you walking from one block to the next. Your train seat, carriage, hotel registration, visa details, cellphone number, medical records, job info, daily routines, even how much gas you buy - all hoovered up and profiled by the system. It builds relationship models based on how often you appear together with someone on CCTV footage. It flags key personnel, foreign journalists, students, and anyone from Five Eyes countries for special suspicion. It has risk scores, fugitive lists, and statistical breakdowns by nationality. Data is pulled not just from police cameras but from private sources as well. Even ski lift access systems are not exempt - one journalist gets spotted skiing and the system lights up. Please understand that the false bogeyman of anti-Palantir sentiment in the West is pure projection. You will hear influencers and comedians (eg. Tim Dillon) clutch their pearls over @PalantirTech — a Western company building data tools that democracies can and do oversee, audit, and limit through courts, elections, and public scrutiny. Meanwhile they will ignore this. This data platform is actually official CCP infrastructure. There is no moral equivalence here.

World of dumplings

@laralogan Cia are recruiting chinese what??

Someone needs to tell the President that Chinese students are Chinese spies. The CCP does not let them leave the country without that commitment. China is a police state.

figure : our robot just worked for 48 hours with zero down time and sorted 63,000 packages. the chinese:

@GordonGChang Iran is not usa

Taiwan is not China, just as China is not Taiwan.

Men will do anything to avoid trying on clothes. He made the clothes try him on.

The secret of Hedge Funds is revealed in a 6 page PDF. Stanford released the complete LSTM neural network framework for trading that quants at firms like Citadel & Two Sigma are known to use & released it for free. Bookmark & read article below before someone takes it down.

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT. This 60-minute Cambridge lecture by Demis Hassabis will teach you more about the future of AI than most people will learn in the next 5 years. Bookmark it and give it an hour, no matter what.