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256,504 просмотров • 2 лет назад •via X (Twitter)

Комментарии: 5

Фото профиля Ceelin🎀🫶🏻
Ceelin🎀🫶🏻2 лет назад

Its so satisfying to see u drawing aksbsbsjsjs

Фото профиля NuggieMeal || V-Artist ||✨BACK BAYBEE✨||
NuggieMeal || V-Artist ||✨BACK BAYBEE✨||2 лет назад

SO CUTE! 😩🧡🧡

Фото профиля Itimora @DOKOMI2025
Itimora @DOKOMI20252 лет назад

I always love ya art. So nice and soft ~

Фото профиля Lumi Bunny ✨🐰💖 FFXIV 7.0 DAWNTRAIL!✨
Lumi Bunny ✨🐰💖 FFXIV 7.0 DAWNTRAIL!✨2 лет назад

ahhhh so cute!!! ;u;

Фото профиля aoiwj Kaito
aoiwj Kaito2 лет назад

CUTE!

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I just built one of the greatest insider buying tracker tools of all time with Perplexity Computer. I wanted to find out one question: Which stocks actually have a high correlation of share price appreciation and insider buying? What Perplexity Computer built to answer this was truly amazing. Here's what it did: It pulled 1,301 real SEC Form 4 insider purchases across 184 S&P 500 stocks over the last 5 years. Then it tracked what happened to each stock AFTER insiders bought, measuring forward returns, win rates, and purchase frequency. It combined all of that into a single "Alpha Score" that ranks every stock by how reliably it goes up after insiders buy. The results? $COIN: 100% win rate. +187% average return after insider buys. $ET: 100% win rate. 52 purchases. $514M in total insider buying. $VST, $LUV, $CAT, $LLY, all 100% win rates. 73% of ALL insider purchases across the S&P 500 led to share price gains. But it didn't stop there. It also built: - A live purchase feed tracking every new SEC filing - Cluster buy detection (multiple insiders buying the same stock within 14 days) - A sector heatmap showing where insiders are putting their money - Top conviction buys (Berkshire's $2.1B OXY position, Musk's $1B TSLA buy) The whole thing looks like a Bloomberg terminal. Dark theme. Real time data. Fully interactive. I didn't write a single line of code. I just told Perplexity Computer what I wanted, and it researched the data, ran the analysis, and built the entire dashboard from scratch. This is the future of building things with AI. The best part was that it created a proprietary "Alpha Score" for every stock. This was a composite ranking from 0 to 100 that weighs four factors: 1. How often insiders bought (frequency) 2. How much money they put in (total value) 3. What percentage of buys led to gains (win rate) 4. How big those gains were (average forward return) The higher the Alpha Score, the stronger the correlation between insider buying and share price appreciation. It revealed insights you would've never expected. The energy sector ended up having the highest Alpha Score, meaning insiders buying energy stocks is very correlated with energy stocks surging. I have paid for data on insider buying in the past. I literally built a better tool with Perplexity Computer than the insider buying tools I have been using for the last 3 years.

Dividendology

184,699 просмотров • 7 месяцев назад

Yann LeCun just exposed AI’s fundamental flaw. We’re celebrating systems that can’t do what insects do effortlessly. LeCun: “The biggest difficulty is not to get fooled into thinking that a computer system is intelligent simply because it can manipulate language.” Language feels like intelligence because we experience it as the highest form of human thought. So when a machine produces fluent, articulate, convincing text, the instinct is to conclude it understands. It doesn’t. LeCun: “It turns out the real world is much, much more complicated.” Language is actually the easy part. A sequence of discrete symbols with a finite number of possibilities. Predicting the next word is a tractable mathematical problem. Impressive at scale. Not understanding. Pattern matching in symbol space. The real world is something else entirely. A high-dimensional, continuous, noisy signal that changes every millisecond in ways no text corpus can capture. Physical reality doesn’t come in tokens. LeCun: “Which your house cat is perfectly able to deal with. But not computers yet.” This is the Moravec paradox. The things that feel hard to humans: writing essays, solving equations, passing bar exams. Computationally straightforward. The things that feel trivially easy: walking across a room, catching a falling object, folding a shirt. Extraordinarily difficult for machines. Your house cat navigates a complex three-dimensional physical environment in real time. Predicts trajectories. Adjusts to surprises. Understands cause and effect through direct interaction with the world. The most powerful AI systems ever built cannot do what your cat does before breakfast. That’s not a minor gap. That’s the entire frontier. Language is the easy problem that looks hard to humans. The physical world is the hard problem that looks easy because evolution solved it billions of years ago. We’re pouring hundreds of billions into making language models marginally better at the simple problem. The actual intelligence problem remains unsolved. LeCun has spent fifteen years on this. Not making chatbots more fluent. Giving machines the ability to understand, predict, and interact with physical reality the way animals do instinctively. The benchmark that matters isn’t passing a bar exam. It’s folding a shirt. Loading a dishwasher. Navigating an unfamiliar room without a map. We built systems that can write your dissertation before we built systems that can tie your shoes. That’s where AI actually is. Everything else is autocomplete at scale.

Dustin

284,932 просмотров • 8 месяцев назад

This Is Dr. Robert Duncan, He’s A Physicist & Ex- CIA He Is Explaining Their V2K (Voice-To-Skull, aka Voice Of God) Program Where The Government Can Put Voices Into Your Head, Rewire Your Thought Processes & Bypass Your Free-Will Sound Ike a conspiracy theory? It isn’t “There are 4 different techniques and technologies that can pipe voices into an individual's head. And once you can do that, you can control them using neuro linguistic programming techniques. You're rewiring their thought processes and brains. And so this gets into what's called offensive information warfare. And They used it, I believe, in the Gulf War, uh, to tell the enemy at that time, Lay down your guns. This is Allah. And it worked pretty well. Because hearing voices, which have no direction or sound, You have to assume that it's some spiritual entity. Uh, so it works pretty well. And, uh, then I don't know if I'm gonna get into this, but there's something called hyper game theory. How do you they they wanna see if they can Manipulate people to do things that are irrational, but also walk them to their death. And so you can call it a Eugenics program even. And they need to sample all cultures, language, uh, throughout the world to define the probability matrices of which tricks, techniques, deception works. So how do you control a brain? Most people don't believe that, but you can't control me. I have my own free will. There's no way you can get to my soul. Well, sorry, that's not true. Um, so these nanoparticles are activated under certain magnetic frequency and will alter the brain patterns and pathways. Uh, recently, My school came out, Harvard came out with, uh, what you see here on the right slide is magnified View of a needle that's injected into the brain and puts the scaffolding over the brain. And then it's read that way at a much finer resolution. So let's talk about a little bit California Berkeley invented a brain decoder device that's able to work out what you're thinking based on neural activity inside of the brain. Now they Use mostly what's called functional MRIs. Um, but, uh, you could use any of these technologies I've talked about. If you're reading text in a newspaper or book, you hear a voice in your own head. Usually, most people are reading kind of aloud in their own head. Well, they can read that. Decipher the words that you were thinking to yourself. So there's another one, uh, University of LA, maybe Stanford University. They are decoding visual images. So they train the person under a functional MRI, that's the standard technique, to look at images and then they record them and then they ask the person to, uh, imagine the object. It can also just be imaginary. And the computer will decipher the brand code. And so you're looking at a hammer, you're looking at a saw. That's a house, that's a cat. So the technology in the civilian sector is coming along”

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