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A quantum physicist lost his funding last year. He's since pulled $487,000 off Polymarket - with the math his grant was supposed to pay for. He doesn't predict where Bitcoin goes. He reads whether it's pinned in place right now - or free to run. His profile: The lab...

35,830 görüntüleme • 16 gün önce •via X (Twitter)

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Automation engineer sent two AI to war. One fights to place the trade. The other fights to prove it's a mistake. Only what survives the battle gets his money - $392,000 profit of it so far. He doesn't pick the trades anymore. He built loop and stepped back. His wallet: The article below explains why that second AI, the one whose only job is to say no - is the entire game. Without a real check, you don't have a loop. You have a model agreeing with itself until the account's empty. He builds these loops for a living - agents that ship code and run themselves. One weekend he built one that trades. Here's how the war actually plays out. The maker reads the 5-minute candle and builds a case: buy Up, here's why. The checker has one purpose - break that case. Wrong regime, thin edge, bad timing. Poke one hole and the trade dies on the spot. Only the trades the checker can't kill ever reach the market. Every night the loop writes down which calls went wrong and tightens its own rules. It stops itself cold at the daily loss cap - nothing runs forever. $5,000 → $392,000. The checker vetoes far more trades than it lets through. That's the point. He didn't build a smarter bot. He built one that has to win an argument before it spends a dollar. Save this and read the breakdown below - it's the clearest explanation of loop engineering on your timeline, and it's the exact idea this whole system runs on. Or skip the build: the loop's live right now, two AI arguing over the next candle. Two clicks and its winners land in your wallet too:

cvxv666

42,548 görüntüleme • 15 gün önce

David Sacks Explains How Elon Can Pullback from DOGE and Still Be Effective On E225, David Sacks responded to a question on if Kekius Maximus was "out of Department of Government Efficiency": " I don't think he's out of DOGE. He didn't say he was out of DOGE. It was just a matter of how much time he could allocate to each thing." "I saw this before when I was part of the Twitter transition." "For the first three months or so, he was basically full-time at Twitter HQ learning the business down to the database level." "I mean, every nook and cranny of that business he learned about." "Once he felt like he had a mental model and he had the people in place that he trusted, he can move to more of a maintenance mode." "And I think that's the only way he can manage five companies, is that he has these intense bursts where he focuses on something, gets the right people and structure in place, feels like he understands it, and then he can delegate more." "And I think that he has reached that point with DOGE, but he was also clear that he's gonna keep doing it, because if he doesn't, there's gonna be a huge backsliding where all the corrupt interest will basically put back all this corrupt spending." "So he's gonna stay involved. But as an SGE, he's limited to 130 days a year anyway." "And so it makes sense for him to kind of now ration his days a little more closely." "My sense is that DOGE is gonna continue." "It's just that Elon is shifting to a mode where he can manage it one day a week or two days a week, as opposed to being there five days a week."

The All-In Podcast

47,448 görüntüleme • 1 yıl önce

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.

Rossst.03

206,675 görüntüleme • 1 gün önce

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.

Himanshu Kumar

62,270 görüntüleme • 26 gün önce

Microbiome Restoration via Fecal Transplant: A Case Study by Dr. Sabine Hazan on Improving Autism Symptoms and Microbial Diversity in a 19-Year-Old Male "It's definitely put me on stage with autism. This is a 19 year old who we did fecal transplant on. And, if you go down on the paper, you're gonna notice that we gave him his sister's microbiome. So the first column is the kid with, he had no Bifidobacteria. He had Lactobacillus animalis. I didn't even know lactobacillus animalis was a bad microbe." "And then his sister, you could see and he had low diversity. See his diversity, Shannon diversity 2.24 and then you could see the Shannon of the sister is 6.69. And the column after is the brother matching the sister. This is called engraftment, when you can match the sister. But look at that. He retained the engraftment up to, like, sixteen months." "And the last Shannon diversity, lower I mean, zoom out a little bit. Zoom out. The last Shannon diversity is 6.53, almost matching his sister. Look at the microbes, how different he is from the beginning and how similar he is to his sister. So first column to the last column here. That's right. See the difference? You see by the way, on a clinical picture, the kid improved his ATAC scores, his CARS testing, his which are the testing for autism." "He also started speaking saying, mama, baba. He's doing spell, like, with a board, so he's communicating. He went to prom with a girl. He's growing. He's you know? Remember, this is a 19 year old that's restarting back from two years old. So we have godsend. I mean, this was a miracle during the pandemic to see that." "And and it's one thing to say, well, the kid improved. But then nobody believes me. It's another thing to see the color graphs that shows the matching of the sister's microbiome, that shows the disappearance of the lactobacillus animalis. You can keep going down. So this blue one here, when he first showed up bad microbe. Bad microbe. It's got go down. And then look. He had a lot of proteobacteria." "Those are your bad microbes. Keep going down. And look how it disappeared. Wait. Go back up. Right there. See how it disappeared? Kind of like was trying to go up at six months, but then go went back down. I do. Now it's pretty much low. Now go down again. And by the way, E. Coli is in the proteobacteria file, if you didn't know. Actinobacteria is where your Bifidobacteria lives." "It's the phylum of Bifidobacteria. He had zero. Zero. Zero. This kid kill his whole entire phylum. He killed it. So his sister had a lot, and look how he's slowly growing it. And with each growth, he's getting better and better and better. So this was an amazing case that kinda shows where we need to go, and the importance of Bifidobacteria."

Camus

21,606 görüntüleme • 1 yıl önce