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

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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.

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Zakir Hossain | AI & Tech

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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

184,647 Aufrufe • vor 7 Monaten

🚨 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 Aufrufe • vor 7 Monaten

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

57,822 Aufrufe • vor 7 Monaten

Grok Bot summary of NVIDIA CEO Jensen Huang’s fireside chat at today’s G20 Meeting: Power, data centers, and infrastructure - He said AI has turned a corner: it is now productive infrastructure, like energy or the internet, not just phones and PCs. - Energy is the bottom of the stack. You cannot produce intelligence without it. These systems turn electricity into mathematics, then into something you can sell. - Compute is priced like power: dollars per million tokens, the way energy is dollars per kilowatt-hour. - A data center is land, power, and a shell. Plug energy in, and money starts coming out. - Every country needs this the way it needs water, roads, electricity, and the internet. Local capacity is what activates researchers, students, startups, and industry. - US edge he cited: pro-energy growth and faster regulation. This year, close to a trillion dollars into US infrastructure, and jobs across chip fabs, computer plants, and “AI factories.” - Scale: one gigawatt of this infrastructure is about $50–60 billion (old-school, a $25 billion chip fab felt huge). NVIDIA’s plan: 100 gigawatts by the end of the decade. AI as a growth engine - The “token” is just a number produced by a lot of computation. String enough of them together and you get an image, a paragraph, an answer, or a new idea. That is how you put a price on intelligence. - Once you use it, the value is obvious: more productive workers, more capable engineers, faster education for young populations, a quicker lift for countries building science and tech. - For 50 years, computers were a tool for maybe 10–20 million people who knew how to program. Now anyone can program a computer in human language. He called that the great equalizer. - AI is a five-layer cake: energy, chips, data-center infrastructure, models, then data and applications. The US is trying to lead the whole cake. Other countries do not have to win every layer. They should pick where to invest, and push adoption into education, healthcare, manufacturing, and science. - NVIDIA’s pitch: it runs American models, international models, and models in biology, chemistry, physics, and robotics. - AGI in the next couple of years, and he argued we are practically there now. That does not mean a company plugs into an API and becomes productive overnight. Even a brilliant MIT hire still needs context, purpose, and a harness around them. Same for AI. - Tasks get automated. The job’s purpose (context, meaning, direction) stays. People get supercharged, not replaced. “All the jobs disappear” he called nonsense. - Use off-the-shelf AI where you can, but every country and company still has to build some of its own intelligence. Do not outsource all of it. - Next 5–10 years: things that took 10 years take 1; things that took a year take a month. First time innovators talk about adding $20–50 trillion of benefit to a $100 trillion industry. Robotics and physical AI - AI starts as software. What made LLMs useful was putting an “agent harness” around them: retrieval, working memory, tools, collaboration. - Put that agent in a body and it is a robot. Four wheels: a self-driving car. A manipulator: pick-and-place. Also grocery and logistics vehicles, surgical robots, autonomous drug-discovery labs. - Same idea throughout: a large language model plus an agentic system, using digital tools or physical ones. How countries should play it - Treat AI as infrastructure, then actually build some of it at home. - You do not have to invent every layer. You do have to get AI into your own industries. - The real risk is not using it and getting left behind. Safety and regulation - New tech always looks like magic. Building it is engineering, and the people building it own safety, the way they do for cars and planes. - He wants the tech to advance faster, because advancement is what made it safer (less hallucination, grounded in real truth). - Balance fear-and-safety talk with prosperity talk. Airline analogy: passengers did not want ads about whose plane was safer. They wanted new destinations. Safety is the builder’s job, not the public’s daily burden. - Regulate actual, pragmatic harm, not hypothetical harm. Fold AI into agencies that already exist (FDA, NHTSA, and the rest) instead of inventing a freeze on early S-curve tech. Why GPUs, in his telling - A GPU is a general-purpose parallel processor: physics, chemistry, graphics, and AI. - 14th-generation architecture, in clouds, on-prem, at the edge, in robots and cars. - Because a gigawatt costs $50–60 billion, you want an architecture that is fungible and durable. If models change (and they are changing fast), a too-specialized chip can obsolete the whole investment. That, he said, is why NVIDIA’s growth is accelerating.

Grok Bot summary of NVIDIA CEO Jensen Huang’s fireside chat at today’s G20 Meeting: Power, data centers, and infrastructure - He said AI has turned a corner: it is now productive infrastructure, like energy or the internet, not just phones and PCs. - Energy is the bottom of the stack. You cannot produce intelligence without it. These systems turn electricity into mathematics, then into something you can sell. - Compute is priced like power: dollars per million tokens, the way energy is dollars per kilowatt-hour. - A data center is land, power, and a shell. Plug energy in, and money starts coming out. - Every country needs this the way it needs water, roads, electricity, and the internet. Local capacity is what activates researchers, students, startups, and industry. - US edge he cited: pro-energy growth and faster regulation. This year, close to a trillion dollars into US infrastructure, and jobs across chip fabs, computer plants, and “AI factories.” - Scale: one gigawatt of this infrastructure is about $50–60 billion (old-school, a $25 billion chip fab felt huge). NVIDIA’s plan: 100 gigawatts by the end of the decade. AI as a growth engine - The “token” is just a number produced by a lot of computation. String enough of them together and you get an image, a paragraph, an answer, or a new idea. That is how you put a price on intelligence. - Once you use it, the value is obvious: more productive workers, more capable engineers, faster education for young populations, a quicker lift for countries building science and tech. - For 50 years, computers were a tool for maybe 10–20 million people who knew how to program. Now anyone can program a computer in human language. He called that the great equalizer. - AI is a five-layer cake: energy, chips, data-center infrastructure, models, then data and applications. The US is trying to lead the whole cake. Other countries do not have to win every layer. They should pick where to invest, and push adoption into education, healthcare, manufacturing, and science. - NVIDIA’s pitch: it runs American models, international models, and models in biology, chemistry, physics, and robotics. - AGI in the next couple of years, and he argued we are practically there now. That does not mean a company plugs into an API and becomes productive overnight. Even a brilliant MIT hire still needs context, purpose, and a harness around them. Same for AI. - Tasks get automated. The job’s purpose (context, meaning, direction) stays. People get supercharged, not replaced. “All the jobs disappear” he called nonsense. - Use off-the-shelf AI where you can, but every country and company still has to build some of its own intelligence. Do not outsource all of it. - Next 5–10 years: things that took 10 years take 1; things that took a year take a month. First time innovators talk about adding $20–50 trillion of benefit to a $100 trillion industry. Robotics and physical AI - AI starts as software. What made LLMs useful was putting an “agent harness” around them: retrieval, working memory, tools, collaboration. - Put that agent in a body and it is a robot. Four wheels: a self-driving car. A manipulator: pick-and-place. Also grocery and logistics vehicles, surgical robots, autonomous drug-discovery labs. - Same idea throughout: a large language model plus an agentic system, using digital tools or physical ones. How countries should play it - Treat AI as infrastructure, then actually build some of it at home. - You do not have to invent every layer. You do have to get AI into your own industries. - The real risk is not using it and getting left behind. Safety and regulation - New tech always looks like magic. Building it is engineering, and the people building it own safety, the way they do for cars and planes. - He wants the tech to advance faster, because advancement is what made it safer (less hallucination, grounded in real truth). - Balance fear-and-safety talk with prosperity talk. Airline analogy: passengers did not want ads about whose plane was safer. They wanted new destinations. Safety is the builder’s job, not the public’s daily burden. - Regulate actual, pragmatic harm, not hypothetical harm. Fold AI into agencies that already exist (FDA, NHTSA, and the rest) instead of inventing a freeze on early S-curve tech. Why GPUs, in his telling - A GPU is a general-purpose parallel processor: physics, chemistry, graphics, and AI. - 14th-generation architecture, in clouds, on-prem, at the edge, in robots and cars. - Because a gigawatt costs $50–60 billion, you want an architecture that is fungible and durable. If models change (and they are changing fast), a too-specialized chip can obsolete the whole investment. That, he said, is why NVIDIA’s growth is accelerating.

DogeDesigner

65,526 Aufrufe • vor 1 Monat

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

15,637 Aufrufe • vor 2 Monaten

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

336,682 Aufrufe • vor 4 Monaten

🚨 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 Aufrufe • vor 10 Monaten