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If people are fighting for an orb you are reading fantasy. If people are fighting for a cube you are reading sci-fi. If it has more sides than that. I dont know. I dont know man.
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Someone loaded $655k worth of 1dte puts that were 2% OTM not 15 minutes before the headlines that dumped the rally broke on the wires. You can't make up this unbelievable level of insider trading.
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Trump's installed leads at the SEC are actively blocking the enforcement division from investigating insider trading tied to the Trump family.
tradfi news@tradfi
*SEC ENFORCEMENT DIRECTOR MARGARET RYAN CLASHED WITH AGENCY BOSSES BEFORE RESIGNING LAST WEEK *RYAN WANTED TO BE MORE AGGRESSIVE IN PURSUING MISCONDUCT, INCLUDING CASES WITH TIES TO TRUMP & HIS FAMILY
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the is probably the 10th time that he's done this...the amount of money that Trump and inner-circle have made in the past 14 months by using Inside information is absurd. when everything's said and done, that'll be one of his biggest 'legacy' as a president..
Adam Cochran (adamscochran.eth)@adamscochran
5 minutes before Trump’s announcement: * $1.5B notional worth of S&P500 (ES) futures are bought in a single clip. * $192M notional of oil futures (CL) sold. More than 4x-6x any other trade size during the market close. Insiders profited from his lies in broad daylight!
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No Mourinho led team has ever played so poorly as Arsenal in a season where they won the league title.
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surprising fact: for any random variable x,
| mean(x) - median(x) | ≤ std(x)
It’s not hard to show
|μ - m| = |E(X - m)| ≤ E|X - m|
≤ E|X - μ| = E√(X - μ)²
≤ √ E(X - μ)²
= σ
originally appeared in a paper by Hotelling & Solomons Annals of Mathematical Statistics 1932
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we really drew to this spurs side lol
5 points behind Villa now.. they have quite an easy run of fixtures coming up, while we have a tough one.. it's over, our Chances of qualifying for CL are almost negative.#LFCLiveService
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Autonomous systems require capabilities beyond statistical inference.
Language models (LM) are searching through token space guided by a statistical P(next token | previous tokens) calibrated on human + synthetic data which limits them to that distribution.
Daniel Litt@littmath
Given what current-gen LLMs (say, in math, but whatever) can do, I think their apparent limitations are kind of mysterious. What is the blocker preventing, at present, high quality fully autonomous work?
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