0xP1xel

Claude Shannon made 28% a year for 30 years. He also proved mathematically why 99% of trading filters fail. The market is mostly noise. A better filter doesn't create signal; it just shapes the noise to trick you. Shannon wrote the rules in 1948. Go read them.

@CastleEdmundM No problem

@QuantumP1x0d Thanks

Claude Shannon made 28% a year for 30 years. He also proved mathematically why 99% of trading filters fail. The market is mostly noise. A better filter doesn't create signal; it just shapes the noise to trick you. Shannon wrote the rules in 1948. Go read them.

Before 1948, "information" was just an idea. Then Claude Shannon turned it into mathematics. His groundbreaking 1948 paper introduced the bit and laid the foundation for the digital revolution. One of the most important papers ever written — explained simply:

Nobel laureate Eugene Fama’s brutal truth about investing (and AI in 2026):"Small caps beat large caps. Value beats growth. I won a Nobel proving it, and now you can buy both in a free ETF. Which is exactly why neither is an edge anymore."The factor math is free. The discipline to trade the residual is not.Most people are just trading commodity exposure and calling it "strategy." The real edge? The ops layer on top. Clean data, speed, and the discipline to ignore the noise.If you want to understand where the actual alpha is hiding right now, watch this.

This looks like CGI, but it’s actually $100\%$ real physics. 🤯Can you balance two heavy metal forks on the very edge of a glass using nothing but a tiny toothpick?Most people would say it’s impossible. Here’s why it works:The Gravity Hack: Objects only fall over if their center of mass is above and off-center from the balance point.The Trick: Because the heavy tines of the forks curve far down and forward below the rim, the entire structure's center of mass is actually lower than the point where the toothpick rests.The Result: The system becomes incredibly stable. It’s physically almost impossible for it to tip over!The ultimate party trick to blow your friends' minds. Watch how

Einstein did the math in his head 100 years ago. 🧠 He predicted that massive objects (like black holes) warping spacetime would send "ripples" across the universe. He was right. But the scale of how we actually proved it is completely insane: The Source: Two giant black holes clashed 1.3 billion years ago, sending shockwaves through the fabric of space. 💥 The Sensor: To catch these "gravitational waves," scientists built LIGO—detectors so sensitive they literally measure changes smaller than a fraction of a proton. The Noise: The machines are so sensitive they had to filter out quantum vibrations of the mirrors and even nearby trucks driving down the highway! 🚛 In 2015, we finally heard the signal. It’s like humanity was deaf to the universe for our entire existence, and we just got hearing aids. 🌌

@0xkair0s 💯

@QuantumP1x0d Models help you find opportunities. Position sizing determines whether you're still around when the next one appears

In 1963, Benoit Mandelbrot proved financial markets don’t follow a bell curve. Wall Street’s response? They ignored his math and kept using the bell curve. Every blown-up fund since 1963 is the invoice. 🧵👇 Mandelbrot wasn’t a Wall Street insider. He was an IBM mathematician. For 40 years, mainstream finance journals wouldn't touch him. But he was right. The graveyard of leveraged funds keeps proving it. The hidden assumption behind every financial filter, Sharpe ratio, and VaR model is that price moves cluster near the average. Big moves are "impossible." Mandelbrot proved real markets have fat tails and wild variance. A 10-sigma move isn’t once in a lifetime. In markets, it shows up on a random Tuesday. His killer insight was self-similarity. Take a crypto chart and cover the axis labels. You can’t tell if you’re looking at a 1-minute or a 1-year timeframe. The roughness is identical. The market doesn't "average out" over time. It just repeats. This is why every model promising "1-in-10,000" risk blows up on schedule: • LTCM (1998) • The 2008 Financial Crisis • 3AC, Luna, FTX They all died running on the bell curve Mandelbrot buried decades ago. The takeaway isn't that predictive models are useless. It’s that no model tells you how much to bet when it’s right. Filters tell you *where* to look. Position sizing decides if you survive the tail to look again tomorrow. Build the swarm. Build the sharpest model of your generation. Just remember they're all fitting a world that doesn't exist. The part that survives the tail, you still have to bring yourself. His 2010 TED talk is free. It was free in 1963 too. Watch it.

A solar plant with zero solar panels? ☀️🚫Instead of photovotaics, this massive facility in the Mojave Desert uses an "ocean" of parabolic mirrors.1️⃣ Giant mirrors track and reflect sunlight onto glass tubes.2️⃣ A synthetic oil inside heats up to a blistering $400°\text{C}$! 🔥3️⃣ That heat boils water to create steam, which spins a turbine to power over 200,000 homes.Engineering at its finest. Check out the tour by

A SÃO PAULO TEACHER TURNS AN OLD M1 MACBOOK INTO A PRIVATE AI TUTOR — TOTAL COST R$0, BECAUSE IT WAS ALREADY IN A DRAWER luciana is 45, teaches math, the macbook had a swollen battery and still ran perfectly when plugged in setup: — local small language model — school worksheets converted into searchable notes — offline quiz generator — student names removed before processing what it replaced: — paid worksheet sites — generic chatbot prompts — Sunday night lesson panic the system creates practice questions, explains mistakes in simpler Portuguese, and generates three difficulty levels for the same topic. it cannot fix education. but it can give a tired teacher twenty clean examples before breakfast. the school wanted an innovation committee. luciana wanted fractions explained without drama.

How the Spaniards and French faced off yesterday, and how the English and Argentines thanked each other today: Buckle up for the showdown! 🍿

A BERLIN INDIE GAME STUDIO BUILDS AN AI NPC DIALOGUE LAB FROM THREE USED 3080s — TOTAL SPEND €2,700, REPLACING ENDLESS API TESTING the studio is four people, one room, terrible chairs, the gpu rig sits near the window because it heats the office better than the radiator setup: — 3× used RTX 3080 cards — local roleplay model with lore documents — vector memory for quests, factions, and item names — nightly batch generation for NPC variations what it replaced: — API bills during prototyping — repeated prompt tuning in cloud tools — writers manually checking every goblin for lore errors the model generates first-pass dialogue, tavern rumors, quest alternatives, and failure-state lines. the writers still rewrite everything. but now they rewrite from material instead of blank pages. cloud AI gave them tokens. the local rig gives them a weird little dungeon master that never logs off.

@FabrizioRomano 2 Goals mbappe

🚨🇫🇷 Didier Deschamps: “Kylian Mbappé is 100% ready and fit”.

"Life is 10% what happens to you and 90% how you react to it."

@FabrizioRomano Mbappe 2 goals

🚨🇫🇷 Kylian Mbappé has arrived.

France 🇫🇷 3-0 Spain 🇪🇸 England 🏴󠁧󠁢󠁥󠁮󠁧󠁿 2-1 Argentina 🇦🇷

@Borg_Cryptos France win 4-1

🚨 LAST CHANCE $5,000 for 10 people who predicts exact score Ends in 24 hours

Remember when people said only Big Tech could afford serious AI infrastructure? RTX 4090s at $0.14/hr are turning that argument into history. The barrier to building AI products is rapidly becoming execution, not access to compute.

@Bybit_Official France win 2-0

The semifinals are here. 🇫🇷 France vs 🇪🇸 Spain. Who reaches the final? Predict and win your share of $1,000,000 in MNT rewards. Predict now: i.bybit.com/ab1TvfGf

@mrbrown_nft France 3-0

$2500 to 5 people who guess the correct score ends before game start France or Spain?