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I’ve made more money on Polymarket from understanding one equation than from trying to predict the actual events Long-term winrate: ~74% Net profit so far: $10k+ The reason is simple, every price on Polymarket comes from this function: pₖ(q) = e^(qₖ / b) / Σ e^(qᵢ / b) It’s... show more

Marik

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106,119 次观看 • 5 个月前 •via X (Twitter)

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My dad asked me why I stare at Python scripts at 3am instead of sleeping. "I'm not trading. I'm calculating." Every price on Polymarket comes from one equation: P(i) = exp(qᵢ / b) / Σ exp(qⱼ / b) This is the softmax function. The same math that GPT uses to pick the next word - Polymarket uses to price every contract. Most traders see 40¢ and think "cheap." I see 40¢ and check the liquidity parameter. b = 50 → one whale swings the market 20% b = 100,000 → barely moves I'm use for copytrade bots Gluon: Half my old trades were in thin pools. One order wrecked my fill. I was losing money to the formula I didn't know existed. So I learned it. Then I built a bot around it. EV = true_prob × (1 - market_price) - (1 - true_prob) × market_price The bot checks b, calculates EV, sizes with Kelly: f* = (p × b - q) / b And executes before my morning coffee gets cold. $200 starting bankroll. 6 weeks later: $18,700. I didn't predict a single outcome. The bot just reads the math that 93% of traders ignore. Full breakdown - LMSR, expected value, Kelly sizing, 5 cognitive traps

My dad asked me why I stare at Python scripts at 3am instead of sleeping. "I'm not trading. I'm calculating." Every price on Polymarket comes from one equation: P(i) = exp(qᵢ / b) / Σ exp(qⱼ / b) This is the softmax function. The same math that GPT uses to pick the next word - Polymarket uses to price every contract. Most traders see 40¢ and think "cheap." I see 40¢ and check the liquidity parameter. b = 50 → one whale swings the market 20% b = 100,000 → barely moves I'm use for copytrade bots Gluon: Half my old trades were in thin pools. One order wrecked my fill. I was losing money to the formula I didn't know existed. So I learned it. Then I built a bot around it. EV = true_prob × (1 - market_price) - (1 - true_prob) × market_price The bot checks b, calculates EV, sizes with Kelly: f* = (p × b - q) / b And executes before my morning coffee gets cold. $200 starting bankroll. 6 weeks later: $18,700. I didn't predict a single outcome. The bot just reads the math that 93% of traders ignore. Full breakdown - LMSR, expected value, Kelly sizing, 5 cognitive traps

Lunar

217,707 次观看 • 5 个月前

I gave Claude one Polymarket equation and told it to find every mispriced contract It hasn't stopped running in 4 months $600 → $14,190 Every Polymarket contract is priced by one formula: C(q) = b × ln(Σ e^(qi / b)) The pricing function inside it is softmax - the same math Claude uses to pick its next token Claude doesn't just understand this equation, it thinks in it So I gave it a task: "Scan every open contract, compute fair value, flag anything the market has wrong 24/7" It finds the gap, sizes the position by Kelly, enters before the crowd corrects Market shows 0.38, math shows 0.57, bot buys Resolution hits, bot collects 120 days 61.2% win rate 2.31 sharpe -3.8% max drawdown 425 trades 87% of Polymarket wallets are underwater They trade feelings against a formula that doesn't bluff, doesn't tilt, doesn't chase losses The edge is having something that reads the math faster than any human - and never stops looking

I gave Claude one Polymarket equation and told it to find every mispriced contract It hasn't stopped running in 4 months $600 → $14,190 Every Polymarket contract is priced by one formula: C(q) = b × ln(Σ e^(qi / b)) The pricing function inside it is softmax - the same math Claude uses to pick its next token Claude doesn't just understand this equation, it thinks in it So I gave it a task: "Scan every open contract, compute fair value, flag anything the market has wrong 24/7" It finds the gap, sizes the position by Kelly, enters before the crowd corrects Market shows 0.38, math shows 0.57, bot buys Resolution hits, bot collects 120 days 61.2% win rate 2.31 sharpe -3.8% max drawdown 425 trades 87% of Polymarket wallets are underwater They trade feelings against a formula that doesn't bluff, doesn't tilt, doesn't chase losses The edge is having something that reads the math faster than any human - and never stops looking

rari

311,933 次观看 • 5 个月前

I gave Claude one prompt and it built me a bot that turned $200 into $14,000 on Polymarket No insider info, no lucky guess Just one equation nobody reads - and a bot that runs it 24/7 The price on Polymarket isn't set by people It's set by one formula - LMSR. You trade against pure math, not traders C(q) = b × ln(Σ e^(qi / b)) Someone buys 50 YES shares → price jumps from 50¢ to 62¢ It's softmax — same math GPT uses to pick the next word. Not a coincidence Then I found b — the liquidity parameter b = 50 → one whale swings the market 20% b = 100,000 → barely moves Half my old trades were in thin pools. One order wrecked my fill How much to bet? Kelly criterion f* = (p × b − q) / b 60% edge → Kelly says 20%. Pros use quarter-Kelly → 5% Not exciting. But you won't blow up Last piece. Price impact Contract at 40¢. You buy 1,000 shares - price climbs to 60¢ The edge disappears before you're filled I fed all of this into Claude. One prompt. 40 minutes. The bot checks b, sizes with Kelly, models impact - and executes before I finish my coffee b filters the pool. Kelly sizes the bet. Impact curve tells me where the edge dies I don't predict outcomes. The bot just reads the math

I gave Claude one prompt and it built me a bot that turned $200 into $14,000 on Polymarket No insider info, no lucky guess Just one equation nobody reads - and a bot that runs it 24/7 The price on Polymarket isn't set by people It's set by one formula - LMSR. You trade against pure math, not traders C(q) = b × ln(Σ e^(qi / b)) Someone buys 50 YES shares → price jumps from 50¢ to 62¢ It's softmax — same math GPT uses to pick the next word. Not a coincidence Then I found b — the liquidity parameter b = 50 → one whale swings the market 20% b = 100,000 → barely moves Half my old trades were in thin pools. One order wrecked my fill How much to bet? Kelly criterion f* = (p × b − q) / b 60% edge → Kelly says 20%. Pros use quarter-Kelly → 5% Not exciting. But you won't blow up Last piece. Price impact Contract at 40¢. You buy 1,000 shares - price climbs to 60¢ The edge disappears before you're filled I fed all of this into Claude. One prompt. 40 minutes. The bot checks b, sizes with Kelly, models impact - and executes before I finish my coffee b filters the pool. Kelly sizes the bet. Impact curve tells me where the edge dies I don't predict outcomes. The bot just reads the math

rari

52,212 次观看 • 5 个月前

Hermes AI trading agent + math from this article = $440,000 profit on Polymarket in just 20 days. Zero profile views. This guy made almost $500k and everyone is acting like it’s completely normal. 85% win rate = he’s not guessing the future, he’s farming pure mathematical edge. Wallet of the agent: 850 green trades out of every 1,000. At his size and ROI he makes 11x more on winners than he loses. This is the real secret of any top PnL trader on Polymarket: stop guessing and and just exploit the math. Save this post so you don’t forget to read the article. Or take action right now and copy every trade this agent makes using this TG bot:

cvxv666

59,902 次观看 • 4 个月前

In every moment that you feel like giving up, there’s a quiet strength within you asking for one more try. So, learn to listen to it. Failure is not the finish line. Growth begins the moment you stop running from failure and start learning the lessons that it is teaching you.

In every moment that you feel like giving up, there’s a quiet strength within you asking for one more try. So, learn to listen to it. Failure is not the finish line. Growth begins the moment you stop running from failure and start learning the lessons that it is teaching you.

Swami Mukundananda

10,320 次观看 • 4 个月前

My dad looked at my screen and said "what is this, a hacker game?" It was a Polymarket bot making $400 while he was standing behind me He sat down. I explained Polymarket runs on one equation - softmax. The same math Claude uses to pick the next word C(q) = b · ln Σ e^(qi/b) 93% of traders don't know this formula exists They look at 40¢ and think "cheap" My bot looks at 40¢ and calculates the theoretical price is 58¢ I'm use for copytrade bots: That's an 18-cent edge per share Two more formulas do the rest: f* = (p·b − q) / b - Kelly Criterion. P(H|E) = P(E|H)·P(H) / P(E) - Bayes. I gave Claude all 4 and said "find every contract the market has wrong" $600 → $10,190. 425 trades. Still running 61.2% win rate - wrong 39% of the time. Doesn't matter. The sizing formula makes sure wins pay more than losses cost 87% of wallets lose money trading against this math The 4 formulas are on Wikipedia. The code fits in one file The only edge: my bot reads them at 3 AM when the market is mispriced and nobody's looking My dad still calls it a hacker game. But he stopped asking when I'm getting a "real job" Only math + code, no more

My dad looked at my screen and said "what is this, a hacker game?" It was a Polymarket bot making $400 while he was standing behind me He sat down. I explained Polymarket runs on one equation - softmax. The same math Claude uses to pick the next word C(q) = b · ln Σ e^(qi/b) 93% of traders don't know this formula exists They look at 40¢ and think "cheap" My bot looks at 40¢ and calculates the theoretical price is 58¢ I'm use for copytrade bots: That's an 18-cent edge per share Two more formulas do the rest: f* = (p·b − q) / b - Kelly Criterion. P(H|E) = P(E|H)·P(H) / P(E) - Bayes. I gave Claude all 4 and said "find every contract the market has wrong" $600 → $10,190. 425 trades. Still running 61.2% win rate - wrong 39% of the time. Doesn't matter. The sizing formula makes sure wins pay more than losses cost 87% of wallets lose money trading against this math The 4 formulas are on Wikipedia. The code fits in one file The only edge: my bot reads them at 3 AM when the market is mispriced and nobody's looking My dad still calls it a hacker game. But he stopped asking when I'm getting a "real job" Only math + code, no more

Lunar

108,420 次观看 • 5 个月前

So a core issues I see with a lot of crypto games is: No in game peer to peer economy. (ie. The game Devs make all the $$ off the items and you buy from them not other players) Couple of things I wanted to experiment with, in regards to on chain gaming is the peer to peer economy. So the way my team set it up, is you mine the token in game, but you sell the items peer to peer in SOL. (see video for a demo) This gives you two different ways to play to earn, you can farm items, from bosses and loot boxes, and sell them to players for solana:So11111111111111111111111111111111111111112 , then other players can buy them and use them to mine the token, and sell the token to traders who will speculate on the price. Or you can just buy the loot boxes, and use the items to farm the token. This should help with the sell pressure, because before the game flow was: Buy item (in token, From devs) --->farm a ton of token---> Sell token to recoup cost of item. New flow is : Player opens loot boxes (paid in token)/ Player Plays game (in game token sinks) ---> gets item ---Lists item--> other player buy Item (From players, In SOL) ----Farms token---> sells token. Now the equation is if the loot box-player spent more game tokens to get the item compared to what he gets for in sol, and it keeps more money in the in game economy, and the market will fluctuate more based on the price of the in game token. So players who play and are "locked in" can make money off arbing and this services the "trader" archetype of player, which I feel is the major player type in web3-games. (also the token name is just a test token so dont buy random shit on pump fun, thats just using the name)

So a core issues I see with a lot of crypto games is: No in game peer to peer economy. (ie. The game Devs make all the $$ off the items and you buy from them not other players) Couple of things I wanted to experiment with, in regards to on chain gaming is the peer to peer economy. So the way my team set it up, is you mine the token in game, but you sell the items peer to peer in SOL. (see video for a demo) This gives you two different ways to play to earn, you can farm items, from bosses and loot boxes, and sell them to players for solana:So11111111111111111111111111111111111111112 , then other players can buy them and use them to mine the token, and sell the token to traders who will speculate on the price. Or you can just buy the loot boxes, and use the items to farm the token. This should help with the sell pressure, because before the game flow was: Buy item (in token, From devs) --->farm a ton of token---> Sell token to recoup cost of item. New flow is : Player opens loot boxes (paid in token)/ Player Plays game (in game token sinks) ---> gets item ---Lists item--> other player buy Item (From players, In SOL) ----Farms token---> sells token. Now the equation is if the loot box-player spent more game tokens to get the item compared to what he gets for in sol, and it keeps more money in the in game economy, and the market will fluctuate more based on the price of the in game token. So players who play and are "locked in" can make money off arbing and this services the "trader" archetype of player, which I feel is the major player type in web3-games. (also the token name is just a test token so dont buy random shit on pump fun, thats just using the name)

Skely

15,064 次观看 • 1 个月前

A Chinese MIT professor explains how financial and prediction markets actually work. Everything you need to understand both. Most people lose money in markets not because they pick wrong - but because they dont understand the structure they're playing against. Who sets prices. How liquidity works. Why derivatives exist. How market makers profit from every trade regardless of direction. This lecture explains the actual mechanics. After it you'll see every Polymarket market differently - not as a bet, but as a pricing problem with a correct answer that the crowd hasn't found yet. That gap between the crowd's price and the correct price is where money gets made. One hour. Jake Xia. MIT. Bookmark this.

A Chinese MIT professor explains how financial and prediction markets actually work. Everything you need to understand both. Most people lose money in markets not because they pick wrong - but because they dont understand the structure they're playing against. Who sets prices. How liquidity works. Why derivatives exist. How market makers profit from every trade regardless of direction. This lecture explains the actual mechanics. After it you'll see every Polymarket market differently - not as a bet, but as a pricing problem with a correct answer that the crowd hasn't found yet. That gap between the crowd's price and the correct price is where money gets made. One hour. Jake Xia. MIT. Bookmark this.

Atenov int.

25,654 次观看 • 4 个月前

quants don't predict markets. they stopped trying years ago retail is still asking "where is price going?" - quants switched to a different question entirely "given the current state, what's the probability distribution of outcomes" that's not a semantics game. it changes the math entirely stochastic processes model how a system evolves probabilistically - not picking a direction, mapping where each path leads and how likely it is ornstein-uhlenbeck does this for mean reversion: drift rate back to equilibrium, variance around that path same price data everybody has. different equation math is a century old, free in every applied probability textbook Bookmark and learn this before it gone you've been drawing trend lines while they ran probability distributions on same numbers it was never about data it was the question you were taught to ask

quants don't predict markets. they stopped trying years ago retail is still asking "where is price going?" - quants switched to a different question entirely "given the current state, what's the probability distribution of outcomes" that's not a semantics game. it changes the math entirely stochastic processes model how a system evolves probabilistically - not picking a direction, mapping where each path leads and how likely it is ornstein-uhlenbeck does this for mean reversion: drift rate back to equilibrium, variance around that path same price data everybody has. different equation math is a century old, free in every applied probability textbook Bookmark and learn this before it gone you've been drawing trend lines while they ran probability distributions on same numbers it was never about data it was the question you were taught to ask

Livsun

13,353 次观看 • 2 个月前

My dad looked at my screen and said what is this, a hacker game? It was a Polymarket bot making $400 while he was standing behind me. He sat down. I explained. Polymarket runs on one equation. Softmax. The same math Claude uses to pick the next word. C(q) = b · ln Σ e^(qi/b) 93% of traders do not know this formula exists. They look at 40 cents and think cheap. My bot looks at 40 cents and calculates the theoretical price is 58 cents. That is an 18-cent edge per share. Two more formulas do the rest: f = (p·b − q) / b. Kelly Criterion. P(H|E) = P(E|H)·P(H) / P(E). Bayes. I gave Claude all 4 and said find every contract the market has wrong. $600 to $10,190. 425 trades. Still running. 61.2% win rate. Wrong 39% of the time. Does not matter. The sizing formula makes sure wins pay more than losses cost. 87% of wallets lose money trading against this math. The 4 formulas are on Wikipedia. The code fits in one file. The only edge: my bot reads them at 3 AM when the market is mispriced and nobody is looking. My dad still calls it a hacker game. But he stopped asking when I am getting a real job. I built the entire framework: Softmax arbitrage detection layer Kelly Criterion position sizing Bayesian probability recalibration Claude integration for autonomous execution 3 AM mispricing scanner The system runs 24/7. Finds where the math disagrees with the crowd. Executes before the edge compresses. No prediction. No gut feel. Just formulas. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the formula system this week. Start with $600. Scale on evidence.

My dad looked at my screen and said what is this, a hacker game? It was a Polymarket bot making $400 while he was standing behind me. He sat down. I explained. Polymarket runs on one equation. Softmax. The same math Claude uses to pick the next word. C(q) = b · ln Σ e^(qi/b) 93% of traders do not know this formula exists. They look at 40 cents and think cheap. My bot looks at 40 cents and calculates the theoretical price is 58 cents. That is an 18-cent edge per share. Two more formulas do the rest: f = (p·b − q) / b. Kelly Criterion. P(H|E) = P(E|H)·P(H) / P(E). Bayes. I gave Claude all 4 and said find every contract the market has wrong. $600 to $10,190. 425 trades. Still running. 61.2% win rate. Wrong 39% of the time. Does not matter. The sizing formula makes sure wins pay more than losses cost. 87% of wallets lose money trading against this math. The 4 formulas are on Wikipedia. The code fits in one file. The only edge: my bot reads them at 3 AM when the market is mispriced and nobody is looking. My dad still calls it a hacker game. But he stopped asking when I am getting a real job. I built the entire framework: Softmax arbitrage detection layer Kelly Criterion position sizing Bayesian probability recalibration Claude integration for autonomous execution 3 AM mispricing scanner The system runs 24/7. Finds where the math disagrees with the crowd. Executes before the edge compresses. No prediction. No gut feel. Just formulas. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the formula system this week. Start with $600. Scale on evidence.

Himanshu Kumar

13,333 次观看 • 2 个月前

🚨 THE FORBIDDEN TRUTH THEY DON’T WANT YOU TO SEE 🚨 The Kalergi Plan exposed in under 2 minutes. They want to dissolve ALL European nations. Replace us with a “eurasian-negroid” mixed race. Turn Europe into one giant borderless shopping mall ruled from Jerusalem. This is NOT theory anymore... it’s happening in real time. Every “refugees welcome” sign, every open border policy, every attack on your identity… it was all written down 100 years ago. Are you awake yet? Or are you still calling it “conspiracy theory”? Drop a like if you’re done being replaced. Comment “AWAKE” if you want your children to inherit the lands their ancestors built. RT to wake up the normies before it’s too late. Who benefits from the death of the West? Why is every Western leader pushing the exact same script? How much longer will you stay silent? The Great Replacement isn’t coming. It’s already here. Let me know what you think, and SHARE THIS so that others may too! And if you're not already following Noah B. Price... What the heck are you doing?!

🚨 THE FORBIDDEN TRUTH THEY DON’T WANT YOU TO SEE 🚨 The Kalergi Plan exposed in under 2 minutes. They want to dissolve ALL European nations. Replace us with a “eurasian-negroid” mixed race. Turn Europe into one giant borderless shopping mall ruled from Jerusalem. This is NOT theory anymore... it’s happening in real time. Every “refugees welcome” sign, every open border policy, every attack on your identity… it was all written down 100 years ago. Are you awake yet? Or are you still calling it “conspiracy theory”? Drop a like if you’re done being replaced. Comment “AWAKE” if you want your children to inherit the lands their ancestors built. RT to wake up the normies before it’s too late. Who benefits from the death of the West? Why is every Western leader pushing the exact same script? How much longer will you stay silent? The Great Replacement isn’t coming. It’s already here. Let me know what you think, and SHARE THIS so that others may too! And if you're not already following Noah B. Price... What the heck are you doing?!

Noah B. Price

176,213 次观看 • 1 个月前

🚨 BITCOIN HAS NEVER BEEN THIS UNDERVALUED When Bitcoin drops to this level against gold, it's always an opportunity to buy at a cheaper price. The math has been accurate since 2010 through every crash and every bull run, so there's no reason to doubt it now. Right now, the price is far below where it should be according to the historical valuation ranges. This is exactly where real money gets made. It's also where most people regret not buying a year from now. Act accordingly.

🚨 BITCOIN HAS NEVER BEEN THIS UNDERVALUED When Bitcoin drops to this level against gold, it's always an opportunity to buy at a cheaper price. The math has been accurate since 2010 through every crash and every bull run, so there's no reason to doubt it now. Right now, the price is far below where it should be according to the historical valuation ranges. This is exactly where real money gets made. It's also where most people regret not buying a year from now. Act accordingly.

Coinvo Trading

20,914 次观看 • 7 个月前

every time you hit buy, the market maker on the other side already solved for two numbers not on the asset - on you specifically the first: their internal fair value. not the midpoint you see on screen their number is adjusted for the last 30 seconds of order flow, their current inventory imbalance and which volatility regime the model thinks the market is in it's different from the displayed price, and they never show it to you the second: your adverse selection probability. a live estimate of whether you're informed or just emotional if the model flags you as a potential informed trader, the spread widens before your fill - automatically, invisibly, before you notice anything changed that bad fill you blamed on "low liquidity"? sometimes it's a market maker's algorithm deciding you look too dangerous to fill at the quoted price this is Glosten-Milgrom - published 1985, sits in every market microstructure textbook on earth, runs inside every serious market making operation that's ever quoted you a price Bookmark this feature before it lost when you click buy, you're answering a question you didn't know was being asked retail spends all its time thinking about where price is going the desk filling your order is spending that same time thinking about you

every time you hit buy, the market maker on the other side already solved for two numbers not on the asset - on you specifically the first: their internal fair value. not the midpoint you see on screen their number is adjusted for the last 30 seconds of order flow, their current inventory imbalance and which volatility regime the model thinks the market is in it's different from the displayed price, and they never show it to you the second: your adverse selection probability. a live estimate of whether you're informed or just emotional if the model flags you as a potential informed trader, the spread widens before your fill - automatically, invisibly, before you notice anything changed that bad fill you blamed on "low liquidity"? sometimes it's a market maker's algorithm deciding you look too dangerous to fill at the quoted price this is Glosten-Milgrom - published 1985, sits in every market microstructure textbook on earth, runs inside every serious market making operation that's ever quoted you a price Bookmark this feature before it lost when you click buy, you're answering a question you didn't know was being asked retail spends all its time thinking about where price is going the desk filling your order is spending that same time thinking about you

Livsun

18,906 次观看 • 2 个月前

Nassim Taleb: the richest man in the Roman Empire woke up every morning pretending he was poor. Seneca had more to lose than to gain from his wealth - so he rehearsed losing it. Every so often he'd live on bread and water as if shipwrecked, just to make the downside familiar and harmless. That's the whole game, Taleb says: arrange your life so you have far more upside than downside - then randomness stops scaring you. "Make more when you're right than you lose when you're wrong - that's antifragile." "Always keep more upside than downside from random events." "The Stoics aren't unmoved by the world - only by bad events." ~70 min, free. the oldest trick for surviving a world you can't predict ↓

Nassim Taleb: the richest man in the Roman Empire woke up every morning pretending he was poor. Seneca had more to lose than to gain from his wealth - so he rehearsed losing it. Every so often he'd live on bread and water as if shipwrecked, just to make the downside familiar and harmless. That's the whole game, Taleb says: arrange your life so you have far more upside than downside - then randomness stops scaring you. "Make more when you're right than you lose when you're wrong - that's antifragile." "Always keep more upside than downside from random events." "The Stoics aren't unmoved by the world - only by bad events." ~70 min, free. the oldest trick for surviving a world you can't predict ↓

0xDipper

699,763 次观看 • 2 个月前

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

slash1s

433,431 次观看 • 2 个月前

This employee is asking a husband and wife not to lean on the rack that she uses for her job. The couple records her, and she is very bothered. Can you understand where she’s coming from, or did she take it too far? Working with so many people all day every day can be overwhelming for some.

This employee is asking a husband and wife not to lean on the rack that she uses for her job. The couple records her, and she is very bothered. Can you understand where she’s coming from, or did she take it too far? Working with so many people all day every day can be overwhelming for some.

Suzee Q

129,483 次观看 • 5 个月前

Dejan Kulusevski on returning to full Tottenham training after a long-term injury. 🗣️“This is one of the happiest days of my career. People see football for ninety minutes every weekend, but they don’t see the months of pain, the lonely mornings in the gym, the frustration of watching your teammates fight while you’re stuck on the sidelines wondering when you’ll feel like yourself again.” “There were days I questioned everything. You wake up every morning hoping your body will respond, hoping you’ll take one step closer to the pitch, and sometimes it doesn’t. Those moments test you as a person far more than any football match ever could.” “I’ve missed this feeling more than words can describe. The dressing room, the laughter, the intensity of training, competing with my teammates again… it’s what I’ve dreamed about every single day since the injury happened. You never truly appreciate football until it’s taken away from you.” “I want to thank everyone who stood by me my family, my teammates, the medical staff and especially the Tottenham supporters. They never stopped believing in me, even when I couldn’t help the team on the pitch. Every message, every chant and every bit of support gave me strength when I needed it most.” “Now the hard work begins. I’m not back just to make up the numbers I want to fight, compete and prove that I’m still the player everyone remembers. I know there will be doubts, but I’ve always answered doubts with football.” “This injury didn’t break me it built me. It made me mentally stronger, hungrier and more grateful for every second I get to wear this badge. I promise the fans one thing: when I step back onto that pitch, I’ll leave absolutely everything out there. I’ve waited far too long for this moment to waste a single second.”

Dejan Kulusevski on returning to full Tottenham training after a long-term injury. 🗣️“This is one of the happiest days of my career. People see football for ninety minutes every weekend, but they don’t see the months of pain, the lonely mornings in the gym, the frustration of watching your teammates fight while you’re stuck on the sidelines wondering when you’ll feel like yourself again.” “There were days I questioned everything. You wake up every morning hoping your body will respond, hoping you’ll take one step closer to the pitch, and sometimes it doesn’t. Those moments test you as a person far more than any football match ever could.” “I’ve missed this feeling more than words can describe. The dressing room, the laughter, the intensity of training, competing with my teammates again… it’s what I’ve dreamed about every single day since the injury happened. You never truly appreciate football until it’s taken away from you.” “I want to thank everyone who stood by me my family, my teammates, the medical staff and especially the Tottenham supporters. They never stopped believing in me, even when I couldn’t help the team on the pitch. Every message, every chant and every bit of support gave me strength when I needed it most.” “Now the hard work begins. I’m not back just to make up the numbers I want to fight, compete and prove that I’m still the player everyone remembers. I know there will be doubts, but I’ve always answered doubts with football.” “This injury didn’t break me it built me. It made me mentally stronger, hungrier and more grateful for every second I get to wear this badge. I promise the fans one thing: when I step back onto that pitch, I’ll leave absolutely everything out there. I’ve waited far too long for this moment to waste a single second.”

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129,122 次观看 • 1 个月前

YOUR STRATEGY DIDN'T STOP WORKING. YOU JUST GOT TOO BIG FOR IT One law prices your own footprint. ΔP/P = Y·σ·√(Q/V) Every order you send moves price against you, and it scales with the square root of size. Double your clip and you pay 1.41x more. Strip the math away. Past a certain size you are not trading the market. You are trading against your own order. Same edge on both lines below. One clips 0.8% of volume, the other 5%. That is the only difference. Minara dragged this off the trading floor. Type it in plain English, it writes the Python and hands you the backtest. One sentence to a live strategy & every number, drawdowns included, sits in the article. Read it ↓

YOUR STRATEGY DIDN'T STOP WORKING. YOU JUST GOT TOO BIG FOR IT One law prices your own footprint. ΔP/P = Y·σ·√(Q/V) Every order you send moves price against you, and it scales with the square root of size. Double your clip and you pay 1.41x more. Strip the math away. Past a certain size you are not trading the market. You are trading against your own order. Same edge on both lines below. One clips 0.8% of volume, the other 5%. That is the only difference. Minara dragged this off the trading floor. Type it in plain English, it writes the Python and hands you the backtest. One sentence to a live strategy & every number, drawdowns included, sits in the article. Read it ↓

slash1s

10,959 次观看 • 27 天前

Qullamaggie on Price Always Tells You When It’s Time to Get Out and When It’s Time to Get In “There’s no money in speculating what the market will do. Just follow the price action, and especially the price action of the leaders. I’ve unfollowed so many people on Twitter and I’ve completely stopped financial media because I realized no one knows anything. It’s all just entertainment. Yeah, I used to too but now I just… I can’t figure any of it out. Macro is not really my thing. And especially if you get it right, you also have to get the timing right. Like all these people — if you’ve seen The Big Short — all these hedge funds and investors who saw the financial crisis coming… they were like three, two, three, four years too early. Like, what’s the point, right? It’s just so hard. That’s why I’m a very nimble trader and I just follow the price. The price will always tell me when it’s time to get out and when it’s time to get in. Not interest rates, not media — no one other than price.”

Qullamaggie on Price Always Tells You When It’s Time to Get Out and When It’s Time to Get In “There’s no money in speculating what the market will do. Just follow the price action, and especially the price action of the leaders. I’ve unfollowed so many people on Twitter and I’ve completely stopped financial media because I realized no one knows anything. It’s all just entertainment. Yeah, I used to too but now I just… I can’t figure any of it out. Macro is not really my thing. And especially if you get it right, you also have to get the timing right. Like all these people — if you’ve seen The Big Short — all these hedge funds and investors who saw the financial crisis coming… they were like three, two, three, four years too early. Like, what’s the point, right? It’s just so hard. That’s why I’m a very nimble trader and I just follow the price. The price will always tell me when it’s time to get out and when it’s time to get in. Not interest rates, not media — no one other than price.”

Lone

15,950 次观看 • 3 个月前

A PHYSICS PROFESSOR GAVE THE SAME LECTURE 1,742 TIMES TO WARN ABOUT ONE IDEA QUIETLY BREAKING THE HUMAN RACE. IT IS THE WORD EVERY AI LAB THROWS AROUND TODAY AND ALMOST NONE OF THEM ACTUALLY UNDERSTAND IT. 72 minutes from Albert Bartlett, a University of Colorado physicist, on the one piece of math he called humanity's greatest blind spot. -> The idea that lands: a small steady percentage is never small. 7% a year sounds calm, but it doubles in a decade, doubles again in the next, and quietly runs away from you. He shows it with bacteria in a bottle, with money, with whole cities -- the same curve that looks flat for ages and then explodes almost overnight. Everyone calls that curve "Exponential". He proves most people hear it as "Fast" when it actually means something far more violent. Right now every lab and every headline calls AI exponential. This is the talk that shows you what the word truly does -- so you see both the hype and the real danger the way the math demands. You thought it was a boring math word. It was the whole story the entire time. Save this one. You'll never hear "Exponential" the same way ↓

A PHYSICS PROFESSOR GAVE THE SAME LECTURE 1,742 TIMES TO WARN ABOUT ONE IDEA QUIETLY BREAKING THE HUMAN RACE. IT IS THE WORD EVERY AI LAB THROWS AROUND TODAY AND ALMOST NONE OF THEM ACTUALLY UNDERSTAND IT. 72 minutes from Albert Bartlett, a University of Colorado physicist, on the one piece of math he called humanity's greatest blind spot. -> The idea that lands: a small steady percentage is never small. 7% a year sounds calm, but it doubles in a decade, doubles again in the next, and quietly runs away from you. He shows it with bacteria in a bottle, with money, with whole cities -- the same curve that looks flat for ages and then explodes almost overnight. Everyone calls that curve "Exponential". He proves most people hear it as "Fast" when it actually means something far more violent. Right now every lab and every headline calls AI exponential. This is the talk that shows you what the word truly does -- so you see both the hype and the real danger the way the math demands. You thought it was a boring math word. It was the whole story the entire time. Save this one. You'll never hear "Exponential" the same way ↓

slash1s

100,138 次观看 • 2 个月前