MY JEV AGENT MADE 5.65% IN 8 HOURS AND THAT IS THE WHOLE POINT $25,000 to $26,413. Not 30x. Not a memecoin. 14 trades. 64% win rate. Average R of 0.40. Max drawdown -1.4%. It went long silver, took a full stop, re-entered on the retest, then rotated into NVDA at 06.50 AM. Every line in the log carries a broker confirmation. The feed will show you 2,900% today. This board shows a drawdown. One of them you can run on a real account.
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109,140 PEOPLE HOLD A COIN ON ROBINHOOD'S OWN CHAIN WITH AN AUDIT SCORE OF 3.5 OUT OF 10 That is CASHCAT. Launched days after the chain opened on 1 July. 1 billion units, fixed. $0.0007991 on day one. $0.3131 on 3 September. It sits 51.03% under that high today. It went into the Robinhood app on 6 August. Then musebook. 9 days old, 13,500 holders, audit score 3.8 of 10, and its daily volume runs at 118% of its own market value. A token that changes hands for more than it is worth, every single day. CASHCAT and AI together are 62.6% of the category. The ten priced tokens are 95.5% of it. 47 tokens on that chain have no published price at all. The sheet prints its own caveat in red. $3.00 billion secured, one party running the sequencer, an authorised filterer that can force-fail a transaction hash. The free gas window closes on 29 September. Everything here is published. The column nobody reads is the audit score.
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MY JEV AGENT PAID 0.0173 ETH IN GAS FOR 189 ROUND TRIPS 1.00 ETH at the start. 11.86 ETH at 24:00. Every quote on that board is a real snapshot. The trading is not. 16 pairs watched, 189 round trips, both legs closed. Gas came to 0.0173 ETH, about 0.000041 an entry at 0.01 gwei. Before it signs anything it runs one pass. Oracle, reserves, 24 hour volume, size against volume, impact, mcap to volume ratio, gas, calldata, sequencer. On SHIB the ratio came back 19.3x and the pass ended in PASSED, too thin. On PENGU it came back 1.3x, sized to 0.0003% of the day's volume, 16.8 bps of impact, and it went. Then the part that got me. Its best position is WIF, up 1.197 ETH, on a day WIF is down 12.9%. Its loser is BONK, down 0.049 ETH, on a day BONK is up 8.3%. The 24 hour column and the P&L column disagree on almost every line. At 11.36 PM it closed FLOKI for +0.238 ETH and paid 0.000041 for the exit. The 24 hour column is a story. The fill is the only fact.
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Clavicular kissed one girl, then the one sitting RIGHT beside her... then kept SWITCHING between them like it was a rotation 😭 "Okay, that's the last one."
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Clavicular’s best friend Drago now faces SERIOUS LEGAL TROUBLE after ASSAULTING an innocent girl live on stream at SeeEx 😳
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Oblivion and Leila tried to bake together, and he put a full handful of flour straight into her FACE 😭 "Chat. Right in my face."
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Oblivion hit 300k and a full live BAND turned up inside the house, and the clip catches the exact second it lands on him 😭 Watch the first 3 seconds. The camera pans the entire room before it even finds him.
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This drone fits across 3 fingers. Seconds later you have to hunt for it in the sky. 4 props, no guards, no camera, no screen to stare at. It lifts straight off an open hand and skims the grass at ankle height. Then it climbs next to an office block and keeps climbing. Watch the grass, not the drone. Its shadow is the only thing tracking it. The last shot is 1 white dot against blue. The pilot is standing in a park with a toy and no idea where the ceiling is. The cheapest thing in that park had the best view of it.
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Van Gogh painted on a French dishtowel. A conservator put it on the screen next to the canvas and the room went silent. Almost nobody watches the whole talk. Lydia Vagts, Cunningham Associate Conservator of Paintings, Museum of Fine Arts, Boston. October 2015. A dark stage, a small lectern, a lamp, one projector. She works from the back of the paintings. Stretcher bars, tacking edges, inventory labels, weave counts. The parts the auction catalogue never photographs. The material tells you what he could afford that month, and what he did about it. Watch the section where she reads the fabric itself and says what it means about the day he started the picture. The market prices the front of the canvas. The evidence is on the back.
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167,106 fruit fly neurons saw a shadow grow and threw the fly off the table. flyverse runs a whole MaleCNS fly in 1 console: 1,466-column retina, spikes, antennae, body. Someone presses loom. A dark shape swells in the body cam. Watch gf in the flight panel, not the fly. It shoots past its threshold. Surface flips to airborne, then back to table top. The escape key sits right there on the toolbar. Nobody pressed it. It lands, walks on, and ends the clip hungry. The fly is a copy. The flinch is original.
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99,772 fruit fly neurons just typed FizzBuzz in Python. Not a metaphor. A real connectome - FlyWire v783, 3.24M mapped synapses from an actual fly brain - wired into a simulated body. Last time it solved a Rubik's cube. This time it got a keyboard. NeuroMechFly runs the body in MuJoCo. 6 legs. IK-driven forelegs hovering over the keys. Every keystroke is a motor command decoded from spiking neurons. The brain panel lights up like a storm each time a foreleg drops - 14,874 neurons active at peak. fizzbuzzpy. for i in range(1, 101). 182 characters, typed one by one. No autocomplete. No LLM. Just synapses that evolved to find rotting fruit, repurposed to print "Fizz". 19 seconds later the status bar flips: DONE. Char 182/182. Neurons active: 0. The fly died years ago. Its brain just wrote its first program.
I GAVE A DRONE THE BRAIN OF A FRUIT FLY github.com/SpikeCalls/FlyDro… Not a toy network with a handful of fake neurons. The actual wiring diagram of a real fly. 166,700 neurons, 25.6 million connections, mapped one synapse at a time. I call it FlyDrones. The drone's camera becomes the fly's eyes. Motion lights up the same neurons a real fly uses to see. Spikes race through the connectome down to the neurons that drive the wings. Those spikes become throttle and yaw. The brain has zero lines of flight code, just wiring. Swing a fly swatter at it. If the giant fiber (the fly's escape neuron) fires in time, the drone dodges. Open palm, fist, rush at the camera and it reacts like a fly. Built for Tello, Crazyflie, ArduPilot/PX4 and Betaflight quads via ESP32. Code is MIT, powered by Claude. Fork it and give your drone a brain.
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A fruit fly brain played a full game of backgammon against a random opponent and bore off every checker. Left panel is the board. Right panel is her actual brain, spike by spike. Every roll, the legal plays counter changes. Sometimes 17 options, sometimes 4. Watch the spike count instead of the dice. It swings hard between moves and the low readings are not the easy ones. She walks onto the board and physically pushes the checkers. No search tree, no evaluation function, no training run. She never learned the rules. Something in there just kept picking legal moves until there were none left.
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A lawyer walked into a room of Congressional staff and told them the dollar in their pocket has no constitutional basis. Nobody in the room could refute it. Almost nobody watches the tape. Edwin Vieira, Jr., J.D., Ph.D. He wrote Pieces of Eight, the reference work on the monetary powers the Constitution grants and the ones it forbids. A wooden podium, a dark suit, a gooseneck microphone, a beige wall. No slides. This is part 2 of 3. He runs the American monetary system from colonial times to the creation of the Fed, and marks where each legal restraint dropped away. Watch the stretch where he names the specific clause and what replaced it in practice. Look at the part near the end where he lays out what returning to sound money would actually require. The framers wrote the limits down. 200 years later the staff needed a lecture to find them.
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A fruit fly is playing a snare drum with 2 sticks. 15 strikes, 2 hits a second, dead on the beat. Below the fly, a joint angle trace for the left foreleg. 6 clean sine waves with a red tick on every downstroke. No brain in this one. The label says it outright: scripted kinematics, no trained controller, no neural data. The body is real. NeuroMechFly, the same rig used in fly locomotion research. Watch the strike ticks line up against the wave peaks. A drummer with 6 legs and nothing behind the eyes. Still better timing than my old band.
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A guy asked one question and it stopped a room cold. How much money has gone through your hands in your entire life. Almost nobody sits through the answer. Patrick Bet-David at a chalkboard, blue suit, 20 rules written out by hand behind him. The right side of the board is a doubling ladder. 16,000. 32,000. 64,000. 128,000. 256,000. 512,000. 1,024,000. Ten steps, every one numbered. Rule 2 is about a hater. Rule 4 is seduction. Rule 6 is boredom. None of it sounds like finance until he prices each one. Watch the part where he explains why the ladder stalls between step 5 and step 6 for almost everyone who starts climbing it. Most people move a fortune across a lifetime. Almost nobody counts it.
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He taught the class for free in 2014. Two years later Microsoft paid $26.2B for the company he built. Almost nobody watches the full hour. Reid Hoffman, lecture 13 of the Stanford startup course. Founder of LinkedIn, partner at Greylock Ventures. A whiteboard, a black shirt, a clicker, a bottle of water on the desk. The 12 lectures before his covered getting started, raising money, building product, growth. He looked at that syllabus and decided the students had been taught the wrong shape of the question. Watch the stretch where he stops speaking as a founder and starts speaking as the man deciding which founders get funded. The criteria change completely, and he says the second set out loud. Look at the part where he separates the trait that gets you a seed round from the one that gets you the next 3. Everyone studies the pitch. He explains the side holding the money.
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Two of the world's largest bond markets ran opposite fiscal experiments at the same time. The results are sitting there unread. Adam Posen, President of the Peterson Institute for International Economics, 2013. Japan spent 2 decades at 0 rates with a debt load everyone said would break the market. Britain went the other way after 2010 and cut into a weak recovery. Neither outcome matched the forecast that justified the policy. The Japanese consumption tax sits at the centre of it. Raise it during a fragile recovery and you find out what fiscal tightening actually costs. Watch the stretch where he separates what stimulus was supposed to do from what moved in the data. The bond vigilantes never showed up. The argument continued anyway.
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In the 1950s the American economy looked as safe as it had ever been. One economist spent those years predicting the collapse. L. Randall Wray on Hyman Minsky, King's College, April 2010. The interview happened 2 years after the crash, when everyone had suddenly heard the name. Wray had been teaching the work since long before that. Minsky's warning was about speculative euphoria, and about what a long calm period does to the people making lending decisions inside it. Watch the stretch where Wray explains what Minsky saw in the 1950s that nobody else treated as a risk. A courtyard, a stone archway, a tweed jacket in the sun. He was not predicting a crash. He was describing what stability builds.
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A state university in Missouri filmed the definition that finance graduates skip and hedge fund letters get wrong. ECO 305, lecture 2, Missouri State University, 2013. The whole hour is the functions of money. It is defined by what it does, and the list is short enough to hold for the rest of your life. Get that list wrong and every later argument about inflation, savings and currency turns into noise. Watch the stretch where he separates the function everyone assumes is primary from the one that actually is. The order changes what you think a currency crisis is. A green polo, a whiteboard, papers on the table, students in the front row. Lecture 1 asked what money is. Lecture 2 answers it properly.
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Capitalism stopped being about building things and became about managing existing assets. Minsky named the phase in the 1980s and said it would break. L. Randall Wray, lecture 7, Institute of Economics, Unicamp, Campinas, 2018. He walks the stages in order. Commercial banks financing trade. Investment banks funding railroads. The postwar era held up by big government and a big central bank. Then the 1980s, when pension funds and mutual funds took over and the priority shifted from expanding capacity to squeezing returns out of what already exists. Watch the stretch around the 10 minute mark where the new phase gets defined, then the part where he explains why the early Minsky model cannot account for 2008. He also reads the euro crisis as a sovereignty problem, not a debt one. Minsky diagnosed the phase we are still in. Then everyone quoted the wrong half of him.
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