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Vault 13's tech whisperer stumbles into a wild data breach. Art by Just a random guy #Fallout #FalloutSeries #BigAss #BigBreasts #BigPenis #ClothingLift #Computer #Dialog #Hentai #Rule34

TheLewdGuy🔞

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74,412 просмотров • 11 дней назад •via X (Twitter)

NSFW #Fallout #FalloutSeries #BigAss #BigBreasts #BigPenis #ClothingLift #Computer #Dialog #Hentai #Rule34

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AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

zostaff

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After a period of getting nothing done, I'm finally getting back into the gamedev! 🙂 I'm currently tinkering with our pixel art game, Sea Sniffers. The game has a fishing journal/encyclopedia to document your captures and findings. For a long time this book has been just static data. Today I finally made the whole system dynamic! New discoveries and their data now appear with a shiny sequence. UI in the game makes great use of Construct3's templating systems. I can just define templates in the editor and fill them with data from the 'FishDB' at runtime. Animations are just sequences of tweens, however the page turning animation makes use of an animated mesh distortion. Some time back I paid for a year of X pro. Now I can type these big slabs of text without worry. I'm curious how the CRT filter is going to show up in the video on the timeline though. My video should now be 1080p. Somehow I still think it's going to be destroyed by compression haha🥲 Having a really good time with work and art, which is refreshing because I went though a pretty dark period 'irl' for the last few months. I won't dive into the details, but let's just say I'm starting to see joy again ^^

After a period of getting nothing done, I'm finally getting back into the gamedev! 🙂 I'm currently tinkering with our pixel art game, Sea Sniffers. The game has a fishing journal/encyclopedia to document your captures and findings. For a long time this book has been just static data. Today I finally made the whole system dynamic! New discoveries and their data now appear with a shiny sequence. UI in the game makes great use of Construct3's templating systems. I can just define templates in the editor and fill them with data from the 'FishDB' at runtime. Animations are just sequences of tweens, however the page turning animation makes use of an animated mesh distortion. Some time back I paid for a year of X pro. Now I can type these big slabs of text without worry. I'm curious how the CRT filter is going to show up in the video on the timeline though. My video should now be 1080p. Somehow I still think it's going to be destroyed by compression haha🥲 Having a really good time with work and art, which is refreshing because I went though a pretty dark period 'irl' for the last few months. I won't dive into the details, but let's just say I'm starting to see joy again ^^

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🚨 GROK IMAGINE GETS A MAJOR UPGRADE Elon Musk just dropped the news: “Major upgrade just released for Grok Imagine. Now at version 0.9 from 0.1.” That’s not a patch - that’s a quantum leap. Grok Imagine is xAI’s text-to-image engine - think DALL·E or Midjourney, but wired into Elon’s universe of real-time data, memes, and chaos energy from X. Jumping from 0.1 → 0.9 suggests a massive overhaul: faster inference, sharper visuals, richer prompt understanding, and maybe even native integration inside X posts. Imagine generating cinematic AI art, memes, or infographics directly in a reply... without ever leaving the platform. xAI’s whole mission is “maximally curious, maximally useful AI,” and this move pushes Grok from a smart chatbot into a creative engine. The leap could mean they’ve rebuilt the visual stack from scratch - new diffusion backbone, better style control, and tighter feedback loops between text and image. In short: Grok Imagine might have just gone from “fun demo” to a real contender in the generative art arena - one built to thrive inside X’s viral ecosystem. If this is 0.9… 1.0’s going to be wild. Source: tetsuo

🚨 GROK IMAGINE GETS A MAJOR UPGRADE Elon Musk just dropped the news: “Major upgrade just released for Grok Imagine. Now at version 0.9 from 0.1.” That’s not a patch - that’s a quantum leap. Grok Imagine is xAI’s text-to-image engine - think DALL·E or Midjourney, but wired into Elon’s universe of real-time data, memes, and chaos energy from X. Jumping from 0.1 → 0.9 suggests a massive overhaul: faster inference, sharper visuals, richer prompt understanding, and maybe even native integration inside X posts. Imagine generating cinematic AI art, memes, or infographics directly in a reply... without ever leaving the platform. xAI’s whole mission is “maximally curious, maximally useful AI,” and this move pushes Grok from a smart chatbot into a creative engine. The leap could mean they’ve rebuilt the visual stack from scratch - new diffusion backbone, better style control, and tighter feedback loops between text and image. In short: Grok Imagine might have just gone from “fun demo” to a real contender in the generative art arena - one built to thrive inside X’s viral ecosystem. If this is 0.9… 1.0’s going to be wild. Source: tetsuo

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Y Combinator

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🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Read this carefully before buying stocks like $SPCX. S&P 500 keeps hitting new all-time highs. The crowd thinks they are buying a resilient index. In reality, they are holding a ticking time bomb. And Big Tech is the one lighting the fuse. Apple, Microsoft, Google, Meta are no longer cash machines. Now they are just massive factories drowning in debt. By end of 2026, every cent of profit burns on chips and data centers. Even worse: their own billions aren't enough anymore. Big Tech borrowing exploded 357% in a single year. They are literally begging the market for cash. Why? This is pure FOMO. They're buried in debt for infrastructure that may never turn a profit. If AI doesn't fix productivity, this will be the most expensive bubble in history. And when this bubble bursts, it won't just hit tech. It will drag the entire S&P 500 into the abyss. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Read this carefully before buying stocks like $SPCX. S&P 500 keeps hitting new all-time highs. The crowd thinks they are buying a resilient index. In reality, they are holding a ticking time bomb. And Big Tech is the one lighting the fuse. Apple, Microsoft, Google, Meta are no longer cash machines. Now they are just massive factories drowning in debt. By end of 2026, every cent of profit burns on chips and data centers. Even worse: their own billions aren't enough anymore. Big Tech borrowing exploded 357% in a single year. They are literally begging the market for cash. Why? This is pure FOMO. They're buried in debt for infrastructure that may never turn a profit. If AI doesn't fix productivity, this will be the most expensive bubble in history. And when this bubble bursts, it won't just hit tech. It will drag the entire S&P 500 into the abyss. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

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Obsidian just became the most dangerous folder on your computer, and Andrej Karpathy predicted it with 1 markdown file. His method is called append-and-review. He described it years ago and almost nobody listened: 1 single note, every thought appended to the top, reviewed on random scrolls. No tags, no folders, no Notion dashboards with 40 linked databases. The problem was always the same the note remembers, but it can't act. That changed the moment people pointed Claude Code at an Obsidian vault. Here's the setup that's quietly spreading: Part 1 — The vault becomes a database. Obsidian stores everything as plain markdown on your disk, which means Claude Code can read it like a codebase. You open a terminal inside the vault folder and your 2,000 notes turn into queryable memory. Part 2 — The CLAUDEmd file becomes the brain stem. One file at the root tells the agent who you are, what you're building, and how your notes are structured. From that point every session starts with full context instead of a blank chat window. Part 3 — Karpathy append log becomes fuel. You dump raw thoughts all day ideas, links, half-sentences. Then 1 command at night: review today's appends, extract action items, draft the 3 posts hiding in there, link them to existing notes. The messy log goes in, structured output comes out, and the vault rewrites itself while you sleep. Part 4 — Agents start living in your notes. People are running weekly reviews, content calendars, even market research as scheduled Claude Code runs over their vault. Your second brain stops being a graveyard of highlights and starts shipping. The honest math: setup takes about 90 minutes, the first week feels like overkill, and by day 30 you're sitting on a system where every note you've written in 5 years is working for you instead of rotting in a folder. Notion needed a server, a subscription and your data on someone else's machine. Obsidian needed a text file and now the text file has an employee.

Obsidian just became the most dangerous folder on your computer, and Andrej Karpathy predicted it with 1 markdown file. His method is called append-and-review. He described it years ago and almost nobody listened: 1 single note, every thought appended to the top, reviewed on random scrolls. No tags, no folders, no Notion dashboards with 40 linked databases. The problem was always the same the note remembers, but it can't act. That changed the moment people pointed Claude Code at an Obsidian vault. Here's the setup that's quietly spreading: Part 1 — The vault becomes a database. Obsidian stores everything as plain markdown on your disk, which means Claude Code can read it like a codebase. You open a terminal inside the vault folder and your 2,000 notes turn into queryable memory. Part 2 — The CLAUDEmd file becomes the brain stem. One file at the root tells the agent who you are, what you're building, and how your notes are structured. From that point every session starts with full context instead of a blank chat window. Part 3 — Karpathy append log becomes fuel. You dump raw thoughts all day ideas, links, half-sentences. Then 1 command at night: review today's appends, extract action items, draft the 3 posts hiding in there, link them to existing notes. The messy log goes in, structured output comes out, and the vault rewrites itself while you sleep. Part 4 — Agents start living in your notes. People are running weekly reviews, content calendars, even market research as scheduled Claude Code runs over their vault. Your second brain stops being a graveyard of highlights and starts shipping. The honest math: setup takes about 90 minutes, the first week feels like overkill, and by day 30 you're sitting on a system where every note you've written in 5 years is working for you instead of rotting in a folder. Notion needed a server, a subscription and your data on someone else's machine. Obsidian needed a text file and now the text file has an employee.

Spike 1%

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The Nillion alpha mainnet and the $NIL token just went live earlier this week and it’s time to pay attention. sits neatly at the intersection of AI, compute, crypto, and data. The network was founded back in 2021 and has been refined over the years to become the version you see today. Ollie | 🗡️ has made his case several times by writing a bunch of articles explaining why what the team is doing is revolutionary. In this video, Gaz Explains 🌎 explains how Nillion protects users’ high-value data in this AI era by using privacy enhancing technologies and the ‘blind computing’ approach. To water it all down: The network allows data to be processed without actually revealing or decrypting it. This means, your high-value data doesn’t get to the hands of any third-party. This + more about the underlying tech and product suite in the video. /// Timestamps: 00:00 Disclaimer 0:20 Nillion Network TLDR 1:57 AI Market Growth 2:44 Nillion - Total Addressable Market 3:09 Data Breaches 4:50 What is High-Value Data in the AI Age? 7:38 Blind Computer: How it Works 9:59 PET - Privacy Enhancing Technologies 12:13 Nillion's Product Suite 13:58 Nillion for Private AI 15:33 Nillion & Ritual 17:14 Nillion & Virtual Protocol 19:47 $NIL Tokenomics: What is The Utility? 21:23 Roadmap 22:11 The Nillion Team 23:24 Nillion Foundational Infra for Privacy ///

blocmates.

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Tried Serpent's Gaze on stream tonight from Serpent's Gaze - Early Access out now on Steam! & had a lot of fun 🔥 It's an up to 4 player co-op Souls Roguelike. Plays more like a traditional souls game. It's just about exploring and taking on challenges. No shrinking circle or feeling rushed. Combat was fluid and I enjoy the level and art design. The random power ups you get make each run feel unique & I was impressed by the constant introduction of new enemies each run. My feedback would be - Allow players to save sessions after completing a boss fight (Slay The Spire 2 has spoiled me) - Reduce the revive time on teammates. It's a little too long - Fix the screen tearing. Game ran smoothly, but it felt like a ninja was slicing my screen in half too often. - Smooth out the transitions into boss fights. - Keep adding content Either way for $13 bucks I'm not complaining too much. There's a solid foundation here. Keep grinding!

Tried Serpent's Gaze on stream tonight from Serpent's Gaze - Early Access out now on Steam! & had a lot of fun 🔥 It's an up to 4 player co-op Souls Roguelike. Plays more like a traditional souls game. It's just about exploring and taking on challenges. No shrinking circle or feeling rushed. Combat was fluid and I enjoy the level and art design. The random power ups you get make each run feel unique & I was impressed by the constant introduction of new enemies each run. My feedback would be - Allow players to save sessions after completing a boss fight (Slay The Spire 2 has spoiled me) - Reduce the revive time on teammates. It's a little too long - Fix the screen tearing. Game ran smoothly, but it felt like a ninja was slicing my screen in half too often. - Smooth out the transitions into boss fights. - Keep adding content Either way for $13 bucks I'm not complaining too much. There's a solid foundation here. Keep grinding!

The Black Hokage

21,917 просмотров • 3 месяцев назад

"The point of Brian Tully leaking Lindsey Gaetani's phone was to create a media frenzy and change the narrative. To get everyone to stop looking at other key figures in the Karen Read + TurtleBoy cases. Specifically, friends of Tully's MSP unit like Jen McCabe and PI Kate Peter." "By throwing Gaetani's entire private life out there, they could seize control of the public narrative at a really critical moment (April 2024, the start of the first Karen Read and John O'Keefe trial) and create one heck of a diversion." "You know, this story is so much bigger than just a data leak. It's really about the alleged weaponization of evidence, and it leaves us with a really unsettling question. What happens to justice when evidence isn't being used to find the truth, but is instead being used as a weapon to control a story?" TRANSCRIPT: Alright, let's talk about the Karen Read case. There's this wild story that's been bubbling up and it's not even about the trial itself, it's about the evidence. We're going to dive into a massive data leak that raises some pretty serious questions about how law enforcement is operating here. I mean, just think about this for a second. How on earth does a decade and a half of someone's private phone data—we're talking texts, photos, contacts, everything—end up out in the open, and get this: released by the very people who are supposed to be protecting it? So this all blew up in April of 2024. The complete, totally unredacted phone data of a key person in this whole affair, Lindsey Gaetani, was just leaked. And I'm not just talking about a couple of messages; we're talking about her entire digital life laid bare for everyone to see. 15 years—just let that sink in. Imagine everything on your phone going all the way back to the mid-2000s, just suddenly becoming public information. It's a huge breach of privacy, and it makes you ask one thing right away: How could this possibly happen? Okay, so to figure out how this went down, we really have to look at the people involved. And trust me, it is a complicated web of state troopers, private investigators, and even online operatives, all connected in some really crucial ways. Let's try to untangle this a bit. You've got state police officer Brian Tully, he's the one who allegedly leaked the data, and there's Kate Peter, a private investigator. And what's really weird is that her messages with Gaetani were mysteriously scrubbed from the data before it got out. Trooper Nick Guarino is the one who processed the data. And all of this, this whole handover, happened while the special prosecutor, Ken Mello, was literally in the hospital. The theory is that this was all meant to protect people like Jen McCabe, who's a key witness in the main case. So how did this happen? Well, one story being floated is that it was just a series of clumsy accidents, a real comedy of errors that, whoops, resulted in a massive data breach. As you can probably guess, not a lot of people are buying that one. So the accident theory—and you gotta' hear this—goes something like this. An officer tripped? Okay, and while he was stumbling, he just happened to perfectly edit a cell phone extraction, removing very specific messages. Then, apparently he morphed into a snowball, rolled down the highway, and tumbled right into the defense lawyer's office, delivering the data. You know, a total accident. Yeah, as one source put it, it's just ludicrous. You don't trip and fall and end up in that situation. It makes no sense. So if it wasn't some bizarre accident, what was it? Well, there's a much more compelling argument out there, that this leak was no accident. It was a deliberate, calculated move. And there's actually evidence that points right in that direction. Just consider these points for a minute. A clumsy trip doesn't explain why specific messages from Trooper Tully himself and from PI Kate Peter were surgically removed from the data. It also doesn't explain the timing. Why would Tully hand deliver this package, personally, while the one guy who could provide any oversight, Prosecutor Ken Mello, was out of commission in the hospital? And this isn't just speculation. This is special prosecutor Ken Mello testifying in court. He confirms it. He says that while he was hospitalized, his colleague, Tully, delivered the evidence package. This tells us that someone took it upon themselves to act, while their superior was unavailable. So let's just lay it all out, side by side. In one corner you have the accident theory, which, you know, involves snowballs and doesn't explain any of the key facts, like the edited data. And in the other corner you have the intentional leak theory. This one actually explains the missing messages and is backed up by court testimony and some seriously suspicious timing. So that brings us to the biggest question of all, right? If this was a deliberate act by a member of law enforcement, what was the motive? Why on earth would an officer intentionally leak 15 years of someone's private life? Well, according to the sources we're looking at, the answer is just one word: Distraction. The whole point of this massive data dump was to create a media frenzy, a public circus, and completely change the conversation. And what was the goal of this distraction? It was allegedly to get everyone to stop looking at other key figures in the case. Specifically, people who were friends of the police unit, like Jen McCabe and PI Kate Peter. By throwing Gaetani's entire private life out there, they could seize control of the public narrative at a really critical moment and create one heck of a diversion. You know, this story is so much bigger than just a data leak. It's really about the alleged weaponization of evidence, and it leaves us with a really unsettling question. What happens to justice when evidence isn't being used to find the truth, but is instead being used as a weapon to control a story?

"The point of Brian Tully leaking Lindsey Gaetani's phone was to create a media frenzy and change the narrative. To get everyone to stop looking at other key figures in the Karen Read + TurtleBoy cases. Specifically, friends of Tully's MSP unit like Jen McCabe and PI Kate Peter." "By throwing Gaetani's entire private life out there, they could seize control of the public narrative at a really critical moment (April 2024, the start of the first Karen Read and John O'Keefe trial) and create one heck of a diversion." "You know, this story is so much bigger than just a data leak. It's really about the alleged weaponization of evidence, and it leaves us with a really unsettling question. What happens to justice when evidence isn't being used to find the truth, but is instead being used as a weapon to control a story?" TRANSCRIPT: Alright, let's talk about the Karen Read case. There's this wild story that's been bubbling up and it's not even about the trial itself, it's about the evidence. We're going to dive into a massive data leak that raises some pretty serious questions about how law enforcement is operating here. I mean, just think about this for a second. How on earth does a decade and a half of someone's private phone data—we're talking texts, photos, contacts, everything—end up out in the open, and get this: released by the very people who are supposed to be protecting it? So this all blew up in April of 2024. The complete, totally unredacted phone data of a key person in this whole affair, Lindsey Gaetani, was just leaked. And I'm not just talking about a couple of messages; we're talking about her entire digital life laid bare for everyone to see. 15 years—just let that sink in. Imagine everything on your phone going all the way back to the mid-2000s, just suddenly becoming public information. It's a huge breach of privacy, and it makes you ask one thing right away: How could this possibly happen? Okay, so to figure out how this went down, we really have to look at the people involved. And trust me, it is a complicated web of state troopers, private investigators, and even online operatives, all connected in some really crucial ways. Let's try to untangle this a bit. You've got state police officer Brian Tully, he's the one who allegedly leaked the data, and there's Kate Peter, a private investigator. And what's really weird is that her messages with Gaetani were mysteriously scrubbed from the data before it got out. Trooper Nick Guarino is the one who processed the data. And all of this, this whole handover, happened while the special prosecutor, Ken Mello, was literally in the hospital. The theory is that this was all meant to protect people like Jen McCabe, who's a key witness in the main case. So how did this happen? Well, one story being floated is that it was just a series of clumsy accidents, a real comedy of errors that, whoops, resulted in a massive data breach. As you can probably guess, not a lot of people are buying that one. So the accident theory—and you gotta' hear this—goes something like this. An officer tripped? Okay, and while he was stumbling, he just happened to perfectly edit a cell phone extraction, removing very specific messages. Then, apparently he morphed into a snowball, rolled down the highway, and tumbled right into the defense lawyer's office, delivering the data. You know, a total accident. Yeah, as one source put it, it's just ludicrous. You don't trip and fall and end up in that situation. It makes no sense. So if it wasn't some bizarre accident, what was it? Well, there's a much more compelling argument out there, that this leak was no accident. It was a deliberate, calculated move. And there's actually evidence that points right in that direction. Just consider these points for a minute. A clumsy trip doesn't explain why specific messages from Trooper Tully himself and from PI Kate Peter were surgically removed from the data. It also doesn't explain the timing. Why would Tully hand deliver this package, personally, while the one guy who could provide any oversight, Prosecutor Ken Mello, was out of commission in the hospital? And this isn't just speculation. This is special prosecutor Ken Mello testifying in court. He confirms it. He says that while he was hospitalized, his colleague, Tully, delivered the evidence package. This tells us that someone took it upon themselves to act, while their superior was unavailable. So let's just lay it all out, side by side. In one corner you have the accident theory, which, you know, involves snowballs and doesn't explain any of the key facts, like the edited data. And in the other corner you have the intentional leak theory. This one actually explains the missing messages and is backed up by court testimony and some seriously suspicious timing. So that brings us to the biggest question of all, right? If this was a deliberate act by a member of law enforcement, what was the motive? Why on earth would an officer intentionally leak 15 years of someone's private life? Well, according to the sources we're looking at, the answer is just one word: Distraction. The whole point of this massive data dump was to create a media frenzy, a public circus, and completely change the conversation. And what was the goal of this distraction? It was allegedly to get everyone to stop looking at other key figures in the case. Specifically, people who were friends of the police unit, like Jen McCabe and PI Kate Peter. By throwing Gaetani's entire private life out there, they could seize control of the public narrative at a really critical moment and create one heck of a diversion. You know, this story is so much bigger than just a data leak. It's really about the alleged weaponization of evidence, and it leaves us with a really unsettling question. What happens to justice when evidence isn't being used to find the truth, but is instead being used as a weapon to control a story?

Grant Smith Ellis

12,028 просмотров • 9 месяцев назад

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.

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

184,326 просмотров • 6 месяцев назад

🚨 3I/ATLAS IS BRAKING: This is no longer a "Comet" debate. 🚨 The math just shifted, and it points to one reality: 3I/ATLAS is performing a controlled maneuver. Here is why the latest telemetry from the last 24 hours is sending shockwaves through the scientific community: 1️⃣ THE 13-HOUR BIAS: New orbital solutions (JPL #46) show the object is arriving at its predicted coordinates 13 hours late. In orbital mechanics, if you're late, you're braking. This "lag" is growing quadratically - meaning by the time it reaches Jupiter, it will have "braked" its arrival by over 13 days (April 24 instead of March 16). 2️⃣ THE "SOFT CAPTURE" VELOCITY: Natural rocks don't just "slow down" for a visit. 3I/ATLAS is shedding velocity from 50 km/s to nearly zero relative to Jupiter. This is the precise "insertion speed" needed for a gravitational capture. It’s not flying past us; it’s looking for a parking spot. 🅿️ 3️⃣ THE INDUSTRIAL FINGERPRINT: Spectroscopy confirmed Nickel Tetracarbonyl in its plume - a compound used on Earth for Chemical Vapor Deposition to manufacture high-purity metal coatings. On top of that, it’s 33 billion tons of refined nickel with ZERO iron. That’s not a mineral; that’s a smelted alloy structure. 4️⃣ SIDEWAYS THRUST: Standard comets get pushed away from the Sun by gas. 3I/ATLAS is being pushed sideways (tangentially). You don't get a sideways "kick" on a 33-billion-ton object from a random ice vent - you get it from active course correction. THE VERDICT: We are watching a 33-billion-ton metallic structure perform a textbook gravity assist and capture maneuver into the Jovian system... This is engineered Elon Musk NASA

🚨 3I/ATLAS IS BRAKING: This is no longer a "Comet" debate. 🚨 The math just shifted, and it points to one reality: 3I/ATLAS is performing a controlled maneuver. Here is why the latest telemetry from the last 24 hours is sending shockwaves through the scientific community: 1️⃣ THE 13-HOUR BIAS: New orbital solutions (JPL #46) show the object is arriving at its predicted coordinates 13 hours late. In orbital mechanics, if you're late, you're braking. This "lag" is growing quadratically - meaning by the time it reaches Jupiter, it will have "braked" its arrival by over 13 days (April 24 instead of March 16). 2️⃣ THE "SOFT CAPTURE" VELOCITY: Natural rocks don't just "slow down" for a visit. 3I/ATLAS is shedding velocity from 50 km/s to nearly zero relative to Jupiter. This is the precise "insertion speed" needed for a gravitational capture. It’s not flying past us; it’s looking for a parking spot. 🅿️ 3️⃣ THE INDUSTRIAL FINGERPRINT: Spectroscopy confirmed Nickel Tetracarbonyl in its plume - a compound used on Earth for Chemical Vapor Deposition to manufacture high-purity metal coatings. On top of that, it’s 33 billion tons of refined nickel with ZERO iron. That’s not a mineral; that’s a smelted alloy structure. 4️⃣ SIDEWAYS THRUST: Standard comets get pushed away from the Sun by gas. 3I/ATLAS is being pushed sideways (tangentially). You don't get a sideways "kick" on a 33-billion-ton object from a random ice vent - you get it from active course correction. THE VERDICT: We are watching a 33-billion-ton metallic structure perform a textbook gravity assist and capture maneuver into the Jovian system... This is engineered Elon Musk NASA

Nibiru

669,746 просмотров • 5 месяцев назад

Russian young guy used free source Claude Code and Open Claw and turned $13 into $195,000 in one month He is from a small town near Moscow He had no starting capital He just used free tools When limits appeared on his account he simply created new ones and continued building His account is guh123 Result: $13 → $190,800 17,805 trades Win rate 77% The biggest win $3,286 on a single bet Profile and copytrading guh123: How it bots work: Random forest 100+ models voting at once. Not one indicator. Not a feeling. A consensus. Each model sees: - price - volume - momentum - liquidity - min to expiry. Final answer = majority vote across all 100+. Entry: buy if: market_price ≤ model_prob × 0.5 Market says 28%. Model says 65%. You buy at half the real value. Even if the model is off by 20% you're still in profit. Exit: sell if: market_price ≥ model_prob × 0.9 or: min_to_expiry ≤ 8 Validation: SR = (returns − risk_free) / std(returns) Sharpe above 2 = the edge is real, not luck. 4 rules. 100+ models. No emotions. Insert these formulas and build your own bot

AdiiX

57,519 просмотров • 5 месяцев назад

🇨🇳 vs 🇯🇵: The Radar Lock Heard Across the Pacific On Dec 6, 2025, a Chinese J-15 fighter jet locked its fire-control radar onto a Japanese F-15 over the East China Sea. This wasn’t a “simulated threat,” it was a simulated kill. A blunt warning, not just to Japan, but to all who assumed China couldn’t reach this far, this fast. What’s behind this? • China’s New Eyes: Radar that can lock targets at 148 km, double the standard range • PL-15 Missiles: Estimated 200+ km range, creating a “no escape zone” for enemy aircraft • AESA tech: Capable of simultaneously locking multiple targets even in contested environments • Stealth detection: China’s “counter-stealth network” relies on UHF/L-band radar and data fusion, potentially breaking the F-35’s air dominance ⚠️ Japan’s response? A full-scale defense pivot: • Doubling military spending by 2027 • Launching GCAP, a 6th-gen stealth fighter with UK/Italy • Politically, labeling any Taiwan conflict as a “survival-threatening situation” for Japan This one radar lock jolted Tokyo into a new age of airpower planning. 🔻But for China, it was never just about flexing muscle. It was a message: “You cannot threaten to violate our territory, and interfere with our military exercises without facing consequences.”

🇨🇳 vs 🇯🇵: The Radar Lock Heard Across the Pacific On Dec 6, 2025, a Chinese J-15 fighter jet locked its fire-control radar onto a Japanese F-15 over the East China Sea. This wasn’t a “simulated threat,” it was a simulated kill. A blunt warning, not just to Japan, but to all who assumed China couldn’t reach this far, this fast. What’s behind this? • China’s New Eyes: Radar that can lock targets at 148 km, double the standard range • PL-15 Missiles: Estimated 200+ km range, creating a “no escape zone” for enemy aircraft • AESA tech: Capable of simultaneously locking multiple targets even in contested environments • Stealth detection: China’s “counter-stealth network” relies on UHF/L-band radar and data fusion, potentially breaking the F-35’s air dominance ⚠️ Japan’s response? A full-scale defense pivot: • Doubling military spending by 2027 • Launching GCAP, a 6th-gen stealth fighter with UK/Italy • Politically, labeling any Taiwan conflict as a “survival-threatening situation” for Japan This one radar lock jolted Tokyo into a new age of airpower planning. 🔻But for China, it was never just about flexing muscle. It was a message: “You cannot threaten to violate our territory, and interfere with our military exercises without facing consequences.”

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

13,796 просмотров • 8 месяцев назад

Konnech isn't just another tech firm. It's a CCP-linked operation building the tools that help rig elections in the U.S. and Australia. Konnech is a Michigan-based election logistics software company founded by Chinese-born Eugene Yu, and is effectively a Communist China software company with deep CCP ties. Konnech's Chinese subsidiary, Jinhua Yulian Network Technology / Yulian Network, developed the election management software used in the U.S. The same Chinese subsidiary simultaneously developed election software for the Chinese Communist Party itself. Sensitive personal data on American poll workers was sent to, stored on, or accessible by developers and contractors in China, in violation of contracts requiring US-only handling. This creates a direct backdoor and security risk allowing Chinese Communist influence or manipulation over U.S. election processes, poll-worker management, logistics, scheduling, building schematics, election workers all throughout the U.S. The company's Australian operations, Konnech Australia, extend the same compromised software and influence into Australian elections. The real-world fallout referenced in the broader reporting around this period came in the 2022 arrest of Konnech CEO Eugene Yu by Los Angeles County prosecutors over alleged improper transfer of poll-worker data to China, the charges were later dropped. There is no coincidence that while Biden was in office that the charges were dropped, especially when we know now from the recent declassified documents that China was interfering in our elections and helping Biden in the 2020 election.

Konnech isn't just another tech firm. It's a CCP-linked operation building the tools that help rig elections in the U.S. and Australia. Konnech is a Michigan-based election logistics software company founded by Chinese-born Eugene Yu, and is effectively a Communist China software company with deep CCP ties. Konnech's Chinese subsidiary, Jinhua Yulian Network Technology / Yulian Network, developed the election management software used in the U.S. The same Chinese subsidiary simultaneously developed election software for the Chinese Communist Party itself. Sensitive personal data on American poll workers was sent to, stored on, or accessible by developers and contractors in China, in violation of contracts requiring US-only handling. This creates a direct backdoor and security risk allowing Chinese Communist influence or manipulation over U.S. election processes, poll-worker management, logistics, scheduling, building schematics, election workers all throughout the U.S. The company's Australian operations, Konnech Australia, extend the same compromised software and influence into Australian elections. The real-world fallout referenced in the broader reporting around this period came in the 2022 arrest of Konnech CEO Eugene Yu by Los Angeles County prosecutors over alleged improper transfer of poll-worker data to China, the charges were later dropped. There is no coincidence that while Biden was in office that the charges were dropped, especially when we know now from the recent declassified documents that China was interfering in our elections and helping Biden in the 2020 election.

The SCIF

15,566 просмотров • 1 месяц назад

THIS GUY HAD OPUS 4.8 BUILD A FULL LEAGUE OF LEGENDS CLONE IN UNDER A DAY AND CALLED IT "LMAO" temu league of legends, fully playable, multiplayer, and all built by claude ALL the art is claude too he had claude generate every character, animation, and background as SVG code then converted them to procedural canvas for smooth animation. used dedicated sub-agents for each champion the tech stack: typescript, react, canvas, and partykit for multiplayer the workflow: > used /goal to kick off the entire project > ultracode workflows for big tasks like optimization > /goal again to queue up lists of bug fixes > treated claude like a dev team the original champion names claude came up with: the original champion names claude came up with: Teehee" instead of Teemo. "CtrlAltDefeat" as a champion name. he had to run through and clean them all up so nothing infringed on riot's IP claude even built the bots on its own with "chill," "normal," and "sweaty" difficulty levels the token bill was 2.7 billion total tokens consumed. mostly cache reads. 15.5 million actual output tokens. would have cost roughly $6,600 at list price but he just used his pro max subscriptions people are already benchmarking claude by how good of a game clone it can build game developers are watching someone build a multiplayer MOBA in a day with zero art skills and zero game dev experience 2026 is wild (and its going to get even wilder)

THIS GUY HAD OPUS 4.8 BUILD A FULL LEAGUE OF LEGENDS CLONE IN UNDER A DAY AND CALLED IT "LMAO" temu league of legends, fully playable, multiplayer, and all built by claude ALL the art is claude too he had claude generate every character, animation, and background as SVG code then converted them to procedural canvas for smooth animation. used dedicated sub-agents for each champion the tech stack: typescript, react, canvas, and partykit for multiplayer the workflow: > used /goal to kick off the entire project > ultracode workflows for big tasks like optimization > /goal again to queue up lists of bug fixes > treated claude like a dev team the original champion names claude came up with: the original champion names claude came up with: Teehee" instead of Teemo. "CtrlAltDefeat" as a champion name. he had to run through and clean them all up so nothing infringed on riot's IP claude even built the bots on its own with "chill," "normal," and "sweaty" difficulty levels the token bill was 2.7 billion total tokens consumed. mostly cache reads. 15.5 million actual output tokens. would have cost roughly $6,600 at list price but he just used his pro max subscriptions people are already benchmarking claude by how good of a game clone it can build game developers are watching someone build a multiplayer MOBA in a day with zero art skills and zero game dev experience 2026 is wild (and its going to get even wilder)

Om Patel

336,185 просмотров • 2 месяцев назад

🚨 JUST IN: Parents are SUING a Colorado school after their 11-year-old daughter was FORCED to share a bed with a biological male, without even telling the parents That is absolutely DISGUSTING and INFURIATING. Transgenderism has gone way too far. "Putting that person into a s*x segregated bed with a girl is just completely UNACCEPTABLE." "A young girl who's on an overnight school trip, who finds out in the moment that not only is she sharing a room with someone with male genitalia, she is in a bed with that person!" "And the parents aren't told about any of this. I mean, that is wild." "You can have different views on trans adults and say everyone should be treated with dignity, et cetera. These are kids! This is a school setting! This is absolutely insane." "I have no idea who would defend this or how. I think no comment from the school is not gonna cut it. Certainly in response to a lawsuit that they have quite clearly invited and brought on themselves." "And by the way, if you wanna have some sort of accommodation for a student who identifies as trans at that age, I think you can probably get that person his or her own room." - Guy Benson

🚨 JUST IN: Parents are SUING a Colorado school after their 11-year-old daughter was FORCED to share a bed with a biological male, without even telling the parents That is absolutely DISGUSTING and INFURIATING. Transgenderism has gone way too far. "Putting that person into a s*x segregated bed with a girl is just completely UNACCEPTABLE." "A young girl who's on an overnight school trip, who finds out in the moment that not only is she sharing a room with someone with male genitalia, she is in a bed with that person!" "And the parents aren't told about any of this. I mean, that is wild." "You can have different views on trans adults and say everyone should be treated with dignity, et cetera. These are kids! This is a school setting! This is absolutely insane." "I have no idea who would defend this or how. I think no comment from the school is not gonna cut it. Certainly in response to a lawsuit that they have quite clearly invited and brought on themselves." "And by the way, if you wanna have some sort of accommodation for a student who identifies as trans at that age, I think you can probably get that person his or her own room." - Guy Benson

Eric Daugherty

255,532 просмотров • 9 месяцев назад

🚨 INVESTIGATION: Did Larry Loomer And Her Husband Commit A Federal Crime And Put The Dealership Her Husband Works At At Risk? 👀 PENSACOLA, FL — Did Larry loomer and Her Husband "Jake" just commit a potential massive breach of federal law involving the Driver Privacy Protection Act (DPPA), wire fraud, and allegations of unauthorized surveillance used for political warfare? Evidence has surfaced suggesting that Andrew "Jacob" Simpson (known as "Jake"), an IT professional for the Tameron/Cannon Auto group, may be utilizing high-level corporate access to harvest private citizen data. Simpson, who is reportedly the husband of deranged journalist Laura Loomer, has administrative access to dealership portals including Carfax, vehicle registration databases, and insurance records. A recent video posted by Loomer appears to show a "Dealer Dashboard" interface—data that is strictly regulated by federal statute. The Legal Reality: 18 U.S.C. § 2722 & Felony Escalation The Driver Privacy Protection Act (DPPA) isn't just a guideline; it’s a federal law. The Violation: Under 18 U.S.C. § 2722, it is a federal crime to knowingly obtain or disclose personal information from a motor vehicle record for any use not permitted by law. The Fine: Violators face criminal fines and a mandatory $2,500 minimum penalty PER CLICK in civil damages. The Felony Path: Because this involves using interstate computer networks (Dealer Portals) to potentially defraud a business for political gain, this enters the territory of Wire Fraud. If a conspiracy is proven to use "Jake's" employer-provided access to "dox" rivals, federal prosecutors could escalate these charges to a Felony, carrying significant prison time. The Tameron/Cannon Connection: A "Weird" Inner Circle The ownership of the dealership group adds a bizarre layer to the story. Michael Joe Cannon and Ryan Mayer of Tameron Gulf Coast (a division of Cannon Motor Co.) oversee the IT infrastructure Simpson operates. Reportedly, minority partner Ryan Mayer has been seen frequently sharing a video of "Jake" and his partner at a White House Hanukkah event, where they received congratulations from Donald Trump on their engagement. Sources claim Mayer is so enamored with the proximity to power that he encourages Simpson to bring the video to professional meetings to "share it." The Question: Is a multi-state dealership group being exposed to millions in federal liability just so their IT guy can play digital mercenary for his wife’s political feuds? The Bottom Line If private vehicle data was pulled from a Tameron/Cannon Auto terminal to target private citizens, the dealership isn't just looking at a PR nightmare—they are looking at a federal grand jury. Stay tuned for more as I continue to investigate. If you have any tips related to this event or anyone listed in this news story contact me via DM or email. CC: Laura Loomer Amboy Loomered Strategies Loomer Fan Club Loomer Unleashed Candace Owens

🚨 INVESTIGATION: Did Larry Loomer And Her Husband Commit A Federal Crime And Put The Dealership Her Husband Works At At Risk? 👀 PENSACOLA, FL — Did Larry loomer and Her Husband "Jake" just commit a potential massive breach of federal law involving the Driver Privacy Protection Act (DPPA), wire fraud, and allegations of unauthorized surveillance used for political warfare? Evidence has surfaced suggesting that Andrew "Jacob" Simpson (known as "Jake"), an IT professional for the Tameron/Cannon Auto group, may be utilizing high-level corporate access to harvest private citizen data. Simpson, who is reportedly the husband of deranged journalist Laura Loomer, has administrative access to dealership portals including Carfax, vehicle registration databases, and insurance records. A recent video posted by Loomer appears to show a "Dealer Dashboard" interface—data that is strictly regulated by federal statute. The Legal Reality: 18 U.S.C. § 2722 & Felony Escalation The Driver Privacy Protection Act (DPPA) isn't just a guideline; it’s a federal law. The Violation: Under 18 U.S.C. § 2722, it is a federal crime to knowingly obtain or disclose personal information from a motor vehicle record for any use not permitted by law. The Fine: Violators face criminal fines and a mandatory $2,500 minimum penalty PER CLICK in civil damages. The Felony Path: Because this involves using interstate computer networks (Dealer Portals) to potentially defraud a business for political gain, this enters the territory of Wire Fraud. If a conspiracy is proven to use "Jake's" employer-provided access to "dox" rivals, federal prosecutors could escalate these charges to a Felony, carrying significant prison time. The Tameron/Cannon Connection: A "Weird" Inner Circle The ownership of the dealership group adds a bizarre layer to the story. Michael Joe Cannon and Ryan Mayer of Tameron Gulf Coast (a division of Cannon Motor Co.) oversee the IT infrastructure Simpson operates. Reportedly, minority partner Ryan Mayer has been seen frequently sharing a video of "Jake" and his partner at a White House Hanukkah event, where they received congratulations from Donald Trump on their engagement. Sources claim Mayer is so enamored with the proximity to power that he encourages Simpson to bring the video to professional meetings to "share it." The Question: Is a multi-state dealership group being exposed to millions in federal liability just so their IT guy can play digital mercenary for his wife’s political feuds? The Bottom Line If private vehicle data was pulled from a Tameron/Cannon Auto terminal to target private citizens, the dealership isn't just looking at a PR nightmare—they are looking at a federal grand jury. Stay tuned for more as I continue to investigate. If you have any tips related to this event or anyone listed in this news story contact me via DM or email. CC: Laura Loomer Amboy Loomered Strategies Loomer Fan Club Loomer Unleashed Candace Owens

Project Constitution

903,542 просмотров • 3 месяцев назад

If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.

If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.

Vigilant Fox 🦊

13,435 просмотров • 5 месяцев назад