Rossst.03
@Rossst_03 • 3,248 subscribers
Where prediction markets meet AI. I hunt mispriced odds on Polymarket. @zscdao member
Videos
Terence Tao, UCLA professor and the most decorated mathematician alive: "Funds pay $750K to combine weak signals into one real edge. I proved the thing that makes it work and makes it dangerous: in any long enough sequence, hidden structure is unavoidable. it always accumulates. the whole job is telling the real structure from the noise that only looks like it." this free lecture is the most decorated mathematician alive on the exact problem sitting underneath every factor model, and it costs nothing. at the board it's simple. Tao's lifelong theme is the line between structure and randomness. The Erdős discrepancy problem asks a deceptively simple thing: can you write an endless string of plus-ones and minus-ones that stays perfectly balanced forever? Tao proved you cannot. No matter how cleverly you try, imbalance, hidden structure, is forced to accumulate as the sequence grows. There is no such thing as a long stream of pure, structureless noise. That's the whole idea, minus the jargon. Which is exactly why a multi-factor model can work, and exactly why it can kill you. Stack enough weak signals and real structure will appear, because at scale structure is unavoidable. But so will fake structure, patterns that exist only because the data is long enough to force them. Same point as the post above: finding structure is guaranteed. Knowing which structure is an edge is the rare and expensive part. the mathematics is free and public. what nobody can sell you is the judgment to tell the structure the market will pay you for from the structure that exists only because you looked hard enough. That judgment is the alpha, and it takes years to build.
Rossst.03211,413 次观看 • 5 天前
Terence Tao, UCLA professor and the most decorated mathematician alive: "Hedge funds pay $500K a year for one skill: telling a real pattern from noise. I've spent my life on it, and most people get it exactly backwards." this free lecture holds the entire "find the signal" problem those firms pay for, given at UCLA by the most decorated mathematician alive and posted for nothing. at the board it's simple. Tao's lifelong theme is that almost nothing is purely one thing. There is perfect structure, like a clock, and perfect randomness, like a coin, and essentially everything real is a mixture of the two. The work is separating them. The primes are the perfect test case: they look scattered and lawless, and yet Tao and Ben Green proved they contain arbitrarily long evenly spaced runs. Order was hiding inside apparent chaos the whole time. That's the whole "signal detection", minus the marketing. He gave this lecture at UCLA and it has been free ever since. Same point as my article above: the mathematics those firms pay half a million dollars for is public, documented and free to anyone tonight. the lecture is free and anyone can watch it. what nobody can sell you is the judgment to know when a pattern is real and when your own eyes invented it. That judgment is the entire job, and it takes years to build.
Rossst.03219,060 次观看 • 7 天前
Daniel Kahneman, Nobel laureate and author of "Thinking, Fast and Slow": "You have two minds. one is fast, confident and usually wrong about money. the other is slow, lazy, and the only one that can do the math. I won a Nobel showing the casino lives off the first one, because it shows up before the second one wakes up." this free lecture holds the entire "trust your instincts" the gurus sell, from the Nobel laureate who proved your instincts are the trap. at the board it's simple. Kahneman split the mind in two. System 1 is fast, automatic and sure of itself. System 2 is slow, effortful, and the only part that actually computes the odds. the catch is that System 1 answers first and System 2 is lazy, so you act on a feeling and build the reasons afterward. the casino and the market are timed to catch you in that first second. that's the whole "instinct edge", minus the marketing. Kahneman worked this out over fifty years and put it in one book in 2011. it has been public ever since. same point as my casino piece above: the house wins because your fast mind calls luck skill before your slow mind can check the math. the science is free and half the world has read the book. what nobody can sell you is the discipline to wake the slow mind up before you click buy. that one pause is the whole edge, and no lecture can force you to take it.
Rossst.03169,678 次观看 • 11 天前
Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.
Rossst.03269,381 次观看 • 23 天前
Marvin Minsky, MIT professor and father of artificial intelligence: "Anthropic pays engineers $900K to build multi-agent AI systems. The blueprint is 40 years old, from an MIT professor who proved intelligence is just a swarm of dumb specialists." the thread above shows you how to turn one AI into a team of specialized agents, each with its own job and memory, all managed by a boss. brilliant. it is also marvin minsky's 1986 theory of how your own mind works. minsky's whole idea was that intelligence is not one smart thing. it is a society of tiny, mindless agents, each doing a single dumb job, none of them intelligent alone. put enough of them together under a few managers and intelligence emerges. that is not a metaphor for the claude trick. it is the claude trick. so when you spin up specialized sub-agents and delegate, you are not inventing a new hack. you are rebuilding the architecture minsky described forty years ago, the same one your brain has run your entire life. he co-founded the field, taught it at MIT, and left it all in this free lecture. same story i keep telling: the "new" AI trick is usually an old idea in a new wrapper. here is the part the thread skips, and minsky knew it. a society of agents is only as good as how you organize it. one dumb specialist is useless. a thousand, badly managed, is chaos. the edge was never spawning the agents. it is the orchestration, knowing which specialist to call, when, and how to combine their answers. the tool is free. the judgment is the whole game.
Rossst.03147,913 次观看 • 14 天前
Persi Diaconis, Stanford mathematician and former professional magician: "I've spent my life on two tricks: making a rigged deck look random, and making a random one look rigged. The market is the first trick, and almost nobody catches it." this free lecture asks one question, does anything happen at random, and the answer is: far less than you think. and the man asking isn't a trader. he's a stanford professor and former professional magician who spent his life proving how badly humans read randomness. the market is his first trick in the wild. it looks like pure chance, yet buried inside is a faint rig, a 50.75% tilt no eye can see. your gut reads a losing week as a broken system and a hot streak as skill, and it's wrong both times. the tilt is invisible to human intuition, which is exactly why funds hand the decision to the math. none of it is hidden. diaconis has taught it for decades, the probability goes back to 1713, and the lecture is free. same point the thread makes: the 50.75% is real, but it lives inside noise your gut will always misread. here is the trap. you feel every win and every loss, but you cannot feel the average, and the average is the only thing that pays. it takes thousands of trades for a 51% edge to separate from luck, and almost everyone quits long before then. the math is free. the patience to trust it past your own eyes is the edge.
Rossst.03216,635 次观看 • 21 天前
Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.
Rossst.03214,907 次观看 • 21 天前
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.03229,785 次观看 • 24 天前
Raphael Townshend, Stanford AI PhD and founder of Atomic AI (Forbes 30 Under 30): ""Wall Street will pay you $500K a year to build these models. I'd rather teach them to you for free." this free stanford lecture holds the entire "77% win rate, pure math" random forest the 2026 quant threads sell you. and the guy teaching it didn't take the wall street money either, townshend went on to found an ai drug-discovery company and land forbes 30 under 30. at the board he builds it from scratch: one decision tree overfits, so you grow hundreds on random subsets of the data and features and average them. the errors cancel, the signal survives. that's the whole "100 ai agents auditing the market" idea, minus the marketing. the √N feature rule, the out-of-bag error, the probability output, all of it is standard ensemble learning, taught free by stanford for years. random forests came out of leo breiman's public paper in 2001. the thread didn't discover it. it renamed it. and here's the honest part the win rate hides. a model that scored 77% on past data is describing the past, not promising the future. ensembles cut variance, they don't turn a weak edge into a real one, and markets shift under the model in ways the training set never warned about. the lecture is free. knowing whether your 77% survives out of sample and on live capital is exactly the part the post skips."
Rossst.03201,268 次观看 • 1 个月前
Nassim Taleb, options trader and author of "The Black Swan": "Wall Street pays $500K for a five-year track record. I traded options for two decades and watched records like that vanish in a single afternoon." the article above is about telling a real edge from luck. taleb built his whole career and his books on one warning: a track record is the weakest evidence there is. a trader can win every single day for years and still be sitting on a hidden risk. the five good years don't prove skill, they just haven't met the one bad day yet. that is the entire "fooled by randomness" trap, dressed up as a resume. and you only ever see the survivors. for every rich trader with a spotless record, thousands ran the same reckless bet and quietly blew up. the graveyard is silent, so the lucky fool looks like a genius. none of this is new, taleb has said it for 25 years and the talk is free. same point as my article: a winning streak is not evidence. here is the edge, and it isn't a hot record. it's surviving. sizing so your one bad day can't erase you, and staying skeptical of your own success while everyone else worships theirs.
Rossst.0377,177 次观看 • 17 天前
Daniel Kahneman, the Nobel laureate who measured Wall Street's "skill" and found luck: "I once studied eight years of a wealth firm's trades. the correlation between a trader's good years was basically zero. they were paid millions for luck, and every one of them believed it was skill. that belief is the casino's favorite product." this free lecture holds the entire "proven track record" the gurus sell, from the Nobel laureate who checked the records and found luck. at the board it's simple. Kahneman took eight years of a firm's trading results and asked whether the good traders stayed good. the year-to-year correlation was almost zero, so last year's star was no more likely to win this year than anyone else. their skill was a story painted over a coin flip. the casino runs on the same illusion, it just lets you keep believing it until the money is gone. that's the whole "track record", minus the marketing. Kahneman published this and won the Nobel in 2002. it has been free ever since. same point as my casino piece above: a hot streak is not skill, and the house profits from everyone who cannot tell the difference. the study is free and anyone can read it. what nobody can sell you is the humility to treat your own winning streak as luck until years of evidence say otherwise. that humility is the whole edge, and no lecture can hand it to you.
Rossst.0340,594 次观看 • 10 天前
Benoit Mandelbrot, Yale professor and father of fractals: "The bell curve Wall Street trusts says a crash like 2008 happens once every 10,000 years. It keeps happening every decade. I spent forty years proving the market is wild, not mild, and most 'edge' is just that wildness fooling you." this free lecture holds the entire "risk model" the quant funds sell, and the man who gave it away was an IBM Fellow and Yale professor who could have cashed any Wall Street check and never did. at the board it's simple. the standard models assume price moves are mild and independent, like coin flips, so a giant crash is basically impossible. Mandelbrot measured real markets and found the opposite: prices move in wild, clustered jumps, and the calm stretches are the illusion. that's the whole "risk management" pitch, minus the marketing. he started publishing this in 1962. it's been free ever since. same point as my article above: the market hands out calm-looking runs and violent breaks, and both fool you into a story about your own skill. the equations are public and every fund already has them. what they can't sell you is the discipline to size for the wild days instead of the calm ones. that is the part that actually keeps you alive, and no course can put it in a formula.
Rossst.0344,770 次观看 • 12 天前
Marvin Minsky, the MIT scientist who founded AI: "Citadel pays PhDs $500K to find the perfect equation. The market doesn't have one. It's beaten by a swarm of dumb agents, the exact design Marvin Minsky said your brain runs on." the thread above is about swarm intelligence, letting a crowd of simple agents search the ugly, shifting landscape of a market that no clean equation can solve. minsky's entire life's work says that isn't a hack. it is how intelligence itself is built. he proved you don't need a smart central solver. you need many mindless specialists, each doing one tiny job, none understanding the whole. connect enough of them and something intelligent emerges from parts that are individually dumb. a market is exactly that: millions of simple agents, no one in charge, collectively solving a problem none of them can see. that is why the swarm beats the elegant math. a single closed-form equation assumes a clean, stable world. the market is nonlinear, non-stationary, full of traps. a swarm doesn't need to understand the landscape, it explores it from a thousand angles at once and can't get permanently stuck where one clever model would. minsky saw this in the mind decades before quants borrowed it for markets. he taught it at MIT, for free, in this lecture. same story i keep telling: the "new" AI idea running the funds is an old idea in a new wrapper. here is what the thread underplays, and minsky knew it. a swarm is only as good as how its agents are wired and rewarded. connect them wrong and a thousand dumb agents don't become a genius, they become expensive noise that overfits and blows up. the swarm is free. the architecture, knowing how to connect and constrain the agents, is the entire edge.
Rossst.0345,129 次观看 • 13 天前
Harry Markowitz, the Nobel laureate who invented modern portfolio theory: "Every fund from Bridgewater to Citadel runs on one equation I wrote as a 25-year-old grad student. Wall Street pays quants $500K to use it. It's free." the thread above teaches you to build a portfolio the real way, with the mathematics of capital allocation. every line of it traces back to one paper markowitz wrote in 1952. before him, "don't put all your eggs in one basket" was folklore. he turned it into algebra. he proved a portfolio's risk isn't the average of its parts, it's driven by how the parts move together, the covariance. combine assets that don't move in lockstep and you cut risk without giving up return. that is the closest thing to a free lunch in all of finance, and he wrote the exact equation for how much of it you get. that single insight, mean-variance optimization, is the engine under every serious fund on earth. renaissance, bridgewater, citadel, your pension, all of them size risk with markowitz's math. he published it in 1952, won the nobel in 1990, and it sits in every textbook and this free lecture. same story i keep telling: the math that runs the trillion-dollar machine has been public and free for seventy years. here is the part markowitz himself warned about. the equation is only as good as the numbers you feed it, your estimates of return and covariance. feed it garbage and the "optimal" portfolio it hands back is confidently, precisely wrong, and it detonates in the exact crisis it was built to survive. the optimizer is free. estimating the future honestly, and knowing when to distrust your own inputs, is the entire job.
Rossst.0343,022 次观看 • 13 天前
Richard Feynman, Nobel Prize-winning physicist: "You can know the name of every pattern in the market and understand nothing about why a single one works. I won a Nobel on that one distinction. it is the whole difference between an edge and a story you tell yourself." this free film is a Nobel laureate teaching you how to actually think, recorded by the BBC and free ever since. at the board it's simple. Feynman's obsession was the gap between naming a thing and understanding it. You can memorize the word for why a stock moved, "momentum", "mean reversion", and still know nothing about whether it will happen again. Real understanding means you can say why, from the mechanism up, and name what would break it. Everything else is a label pasted over ignorance. That's the whole "edge", minus the marketing. Feynman's rule was that the first principle is you must not fool yourself, and you are the easiest person to fool. Same point as my casino piece above: the market is a machine for handing you convincing stories, and the only defense is refusing to believe one you cannot explain. the film is free and anyone can watch it tonight. what nobody can give you is the discipline to admit "I named it but I don't understand it" before you put money on it. That honesty is the edge, and it is the rarest thing there is.
Rossst.0319,337 次观看 • 6 天前
David MacKay, Cambridge professor: "Citadel and Jane Street pay $900K for people who get one idea I taught free at Cambridge: information is measurable, and whoever measures it best wins. the casino knew it first. the machines know it now." this free lecture holds the entire "secret alpha" the funds and the AI gurus sell, and the man teaching it put his whole course and his whole book online for free and never locked a single page. at the board it's simple. information is just how much a signal cuts your uncertainty, and you can measure it in exact bits. the more an edge shrinks what you don't know, the more it is worth, and Shannon proved there is a hard ceiling on how fast you can compound it into money. that is the whole "edge", and the whole "AI magic", minus the marketing. MacKay taught it at Cambridge and gave the book away free in 2003. it has been free ever since. same point as the casino piece above: the house wins with a small, measurable edge, repeated and sized right, not with a secret. the theory is free and every fund and every model already runs on it. what they cannot sell you is the data to feed the machine and the discipline to size the bet. that is the part that actually compounds, and no course can put it in a formula.
Rossst.0324,699 次观看 • 11 天前
Benoit Mandelbrot, Yale professor, IBM Fellow, and inventor of fractals: "Every risk model at Citadel, Goldman and JPMorgan assumes markets are 'normal.' I proved they're wild. That one lie has vaporized hundreds of billions." this free TED talk is mandelbrot months before he died. almost every risk model treats the market as mild and smooth. he proved it's the opposite: rough, jagged, and wild, with extremes far more common than the bell curve allows. that gap is not academic. under the bell curve, the 2008 crash was a once-in-a-billion-years event. it happens roughly every decade. every VaR model that whispered "you're safe" and every fund that blew up in a week was trusting the same lie. those wild days also cluster together, which is exactly the "regime change" the thread is trying to catch. none of it is new. mandelbrot showed it in cotton prices in the 1960s, gave this talk for free, and wrote a whole book about it for the public. same lesson as my article: the math sat there for decades, ignored because it was inconvenient. here is what the regime thread won't admit. no model catches the wild day before it hits, its timing is unknowable by design. the edge isn't predicting the storm, it's sizing so a single wild day can never end you. the math is free. respecting the tails is the discipline almost nobody has.
Rossst.0335,297 次观看 • 19 天前
Sir David Spiegelhalter, Cambridge professor: "Give me 10,000 traders and I'll show you a genius with a flawless five-year record, built by luck alone. I can even tell you how many to expect." the article above is about telling a real edge from luck. spiegelhalter spent his career at cambridge turning that exact question, is this real or just chance, into hard numbers. start ten thousand traders flipping coins and some will "win" five years straight. not because they're gifted, but because with enough people a spotless streak is guaranteed to land on someone. that someone writes a book, sells a course, and calls it skill. it was arithmetic. his whole message is that you cannot judge chance by how surprising it feels, you have to compute it. how likely was this record if the person had zero skill? until you can answer that, a winning streak is not evidence of anything. he built a career and these free public lectures on making that rigorous. same point as my article: a run that feels like genius is a question, not an answer. here is the edge. do the calculation your gut refuses to, ask how many lucky fools your sample was always going to produce before you assume you're not one of them. the math is free. the humility to run it on your own success is the rarest thing there is.
Rossst.0327,123 次观看 • 16 天前
Gilbert Strang, MIT professor: "Citadel and OpenAI both pay $400K+ for people fluent in one branch of math. I taught it to the whole world from an MIT classroom, for free." this free MIT lecture is the whole engine under the "AI" everyone suddenly worships. strip the branding off a neural network and this is what's underneath: linear algebra, matrices multiplied over and over. the man teaching it spent fifty years at MIT and gave every lecture away for nothing. and what it does is simple. it lets you work with thousands of numbers at once instead of one at a time. how every asset moves against every other, the hidden factors driving a whole market, the guts of a neural net, all of it is just matrices. it is the grammar every model speaks, and it hasn't changed in decades. which is the entire point of the article above. renaissance was already running on this exact math in 1988. the "AI revolution" didn't build the engine, it just rebranded it. here is what the pitch skips. everyone's model runs on the same linear algebra, so the math was never the edge. the matrices don't care whose data goes in. cleaner data, and the discipline to trust the output, are the only parts anyone was ever really paying for.
Rossst.0333,926 次观看 • 27 天前
Ray Dalio, billionaire founder of Bridgewater ($150B+): "In 1982 I was totally certain the economy would collapse. I bet everything on it, and I was so wrong I nearly went bankrupt. That's when I learned confidence is not skill." the article above is about telling a real edge from luck. dalio built the biggest hedge fund on earth only after learning the hardest way that being certain and being right are not the same thing. he had every reason to feel like a genius. he'd been right before, his conviction was total. then the market wiped him out, and all that confidence turned out to be worth exactly nothing. it didn't care how sure he was. so he made one change that saved his career: he stopped asking "am I right" and started asking "how do I know I'm right." he treated his own certainty as the enemy. that shift is the entire gap between the fool he was in 1982 and the investor he became. he tells the whole story in this free TED talk. here is the trap. a trader on a winning streak feels the exact certainty dalio felt in 1982. it feels like skill. usually it is just the market not having punished you yet. the edge is doubting yourself hardest when you feel surest, stress-testing the idea you love most, and sizing so that being wrong can never end you. the math is free. treating your own confidence as a warning sign is the discipline almost no one has.
Rossst.0316,715 次观看 • 15 天前