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The wrong package delivered turns into the right package! 😜 🍆 🔗 👩 Bunny Madison 👨 Kyle Mason (Inc) #IHaveAWife #HotBlonde #Sexy #NiceTits #RedDress

105,500 Aufrufe • vor 10 Monaten •via X (Twitter)

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GTA in Brazil 🇧🇷 All this chaos just to deliver the package to the right house! Created using Seedance 2.5 on Pollo AI Prompt: Create a 30-second ultra-realistic AAA third-person open-world gameplay sequence set in a densely populated Brazilian neighborhood inspired by Rio de Janeiro. The video must look like genuine next-generation GTA-style gameplay captured directly from a playable open-world game — not a cinematic film. Use a consistent third-person gameplay camera positioned naturally behind the protagonist, realistic player-controlled movement, seamless environmental interaction, physically accurate collisions, natural NPC behavior, detailed Brazilian surroundings, and believable game-world physics. MAIN CHARACTER: Use the uploaded character image as the exact identity reference for the protagonist. Preserve her face, facial proportions, hairstyle, hair color, skin texture, body proportions and overall identity consistently throughout the entire sequence. She is a young Korean woman in her early 20s with long black hair, wearing a casual summer outfit with a pastel-lavender top, loose white cargo pants and sneakers. Her clothing, face and hairstyle must remain completely consistent from beginning to end. OPENING — 0–3 SECONDS: Begin immediately in playable third-person view. She is casually walking along a busy Brazilian residential street. The environment instantly establishes Brazil: dense hillside homes, colorful painted walls, Portuguese storefront signs, overhead electrical cables, parked compact cars, motorcycles, pedestrians, small neighborhood businesses, tropical plants and realistic street clutter. Without warning, a motorcycle delivery rider pulls up nearby and places a sealed cardboard package on a low wall while checking his phone. The protagonist looks at it. A contextual gameplay prompt appears: “TAKE PACKAGE [E]” She looks around. She takes the package. Immediately: MISSION STARTED “DON'T GET CAUGHT WITH THE PACKAGE” 3–8 SECONDS: The delivery rider looks up. He realizes the package is gone. A red alert appears: “PACKAGE STOLEN” He points toward her and starts chasing. She freezes for half a second, realizes what is happening, then runs. The camera smoothly follows her like authentic third-person gameplay. She runs downhill through a crowded Brazilian street, narrowly passing pedestrians and motorcycles. NPCs react naturally — some step aside, one briefly looks back, another continues walking while barely acknowledging the chaos. 8–15 SECONDS: She cuts through a narrow alley between houses. The rider follows on foot. She jumps over a low concrete barrier and continues running. A motorcycle passes extremely close in front of her. She instinctively stops for a fraction of a second. A notification appears: “BAD DECISION” She immediately turns down another street. Her stamina bar visibly drops. “STAMINA LOW” She reaches a small local football court where several people are playing. A ball suddenly rolls directly into her path. She kicks it aside without stopping. The players briefly react as she runs through. 15–22 SECONDS: She reaches a steep hillside street. She looks back. The delivery rider is still chasing her. She notices an open doorway beside a tiny neighborhood shop and quickly ducks inside. The rider runs past. The screen briefly displays: “THEY LOST YOU” She quietly steps back outside. The rider suddenly appears at the other end of the street. “THEY FOUND YOU” She panics and runs again. 22–27 SECONDS: She finally reaches a small Brazilian house matching the address printed on the package. She looks at the label. Then at the house number. A subtle objective updates: “DELIVER PACKAGE” She rings the doorbell. A Brazilian woman opens the door. The protagonist hands her the package. The woman checks the address and happily accepts it. Objective instantly changes: “DELIVERY COMPLETE” 27–30 SECONDS: The exhausted delivery rider finally arrives. He stops. Looks at the protagonist. Looks at the woman. Looks at the package. He slowly realizes that the protagonist accidentally delivered it to the correct address. He is completely confused. The protagonist gives him an innocent smile and casually walks away. Final HUD notification: “MISSION COMPLETE” “CHAOS +250” The rider remains standing there, speechless. GAMEPLAY & VISUAL STYLE: Ultra-photorealistic AAA open-world game graphics with realistic human characters, detailed facial animation, physically based materials, realistic skin, individual hair strands, natural cloth movement, accurate shadows, global illumination, realistic reflections, detailed road surfaces and authentic environmental imperfections. Brazil must be visually recognizable through authentic environmental details rather than exaggerated stereotypes. Use realistic Rio-inspired hillside neighborhoods, dense residential streets, Portuguese signage, Brazilian motorcycles and compact cars, local stores, football culture, tropical vegetation, concrete walls, balconies, utility poles and tangled overhead wiring. NPCs should have varied appearances, clothing, animations and reactions. No duplicated-looking crowds. All physics must be grounded: the cardboard package has believable weight, pedestrians react naturally to collisions, motorcycles have realistic acceleration and suspension, clothing responds naturally to movement, and characters maintain consistent proportions. CAMERA: Strictly authentic third-person open-world gameplay perspective. No cinematic establishing shots. No drone shots. No slow-motion hero shots. No dramatic camera transitions. No movie-style depth of field. No impossible camera movements. The camera should behave as if a player is controlling the character in a real AAA open-world game. HUD: Use a restrained GTA-inspired gameplay HUD integrated naturally into the screen: - circular minimap - health bar - stamina bar - mission objective tracker - contextual interaction prompts - alert indicators - small gameplay notifications The interface should feel like part of an actual AAA game rather than an overlay added afterward. NEGATIVE REQUIREMENTS: No anime. No cartoon. No cel shading. No mobile-game graphics. No fantasy. No exaggerated physics. No gore. No distorted faces. No changing character identity. No changing clothing. No inconsistent package size. No duplicated NPCs. No teleporting objects. No floating objects. No rubbery character movement. No cinematic movie shots. No unrealistic facial expressions. No artificial-looking crowds. The final result should feel like a completely authentic 30-second gameplay clip from a huge, photorealistic AAA open-world game set in Brazil, funny because of the situation and gameplay mechanics, not because the visuals are exaggerated.

Johnn

42,867 Aufrufe • vor 15 Tagen

#freenbecky #beckysangels 🔥 [RED ALERT] T-POP CAMPAIGN FOR "SKIN"! 🔥 "Skin" has officially been nominated on T-POP! To push the song to the top of the charts, we can't just vote blindly—we must VOTE STRATEGICALLY! 🎬 DETAILED GUIDELINE VIDEO TIMESTAMPS: 🔸0:00 - 2:27: Tpop 🔸2:27 - 3:12 : Spotify streaming 🔸3:12 - end: Youtube Streaming ⭐️ A special thank you to BLIИK VOTING PΛGE for your invaluable experience and guidance! We truly appreciate it! The T-POP scoring system is divided into 3 main battlefronts: 🎯 FRONT 1:YOUTUBE - 50% OF THE SCORE (MOST CRITICAL) This score is based on the weekly view increase. Please read the YouTube streaming guidelines (3rd pic) and save all 3 playlists: 🔗 Playlist 1: 🔗 Playlist 2: 🔗 Playlist 3: 🎧 FRONT 2: SPOTIFY - 25% OF THE SCORE This score is based on the weekly stream increase. Please read the Spotify streaming guidelines (4th pic) and save these playlists: 🔗Playlist From BECKY OFFICIAL: 🔗Playlist From us: 📱 FRONT 3: T-POP APP - 25% OF THE SCORE Daily voting limits per account: ✅ Max 200 Paid Pop coins/day ✅ Max 10 Free Mission coins/day ✅ 1 Free coin/day 💡 Guideline for fans: DM US for free TPOP acc 🆓 For fans doing Free Daily Tasks: Please complete your daily missions diligently to save up 50 Mission coins/week: ☑️ Check-in for 7 days = +5 🟣 ☑️ Watch 4 Ads for 7 days = +28 🟣 ☑️ Share 1 content for 7 days = +7 🟣 ☑️ Vote 1 song for 7 days = +10 🟣 💰 For fans with limited time but available funds: ✅ BUY THE SPECIAL PACKAGE (1080 votes = ONLY 299 baht vs 1080 baht for normal ). 🔸 Not only is it way cheaper, but this package also gives you x2 mission coins and automatically completes ALL daily tasks for you. You just need to open the app and redeem the coins! 🔸 Watch the 2nd image and the quoted video for special package instructions. EVERYONE MUST WATCH THE ATTACHED GUIDELINE VIDEO AND IMAGE BEFORE YOU START VOTING! Every single view, stream, and coin right now is a weapon to push "SKIN" to the top. Let's take action immediately! 💪✨ - With 🌵🏜FreenBecky's World🏜🌵 FreenBecky_Data数据组 -

FreenBecky_RankingVN🇻🇳

168,571 Aufrufe • vor 4 Monaten

Every AI PM course right now is teaching the wrong skill. They're all focused on prompt engineering, LLM integration, building with ChatGPT. Meanwhile, the AI PMs earning $900K at Netflix, Amazon, and Meta are being paid for a completely different competency: knowing which AI technique to use and, more importantly, which ones to skip. Jyothi breaks it into three buckets. Traditional ML for structured data: fraud detection, churn prediction, anything where the problem fits in a spreadsheet with clear inputs and a predicted output. A regression model solves this in a week at a fraction of LLM costs. Deep learning for perception tasks: images, video, audio. If humans do it easily but you can't write explicit rules for it, that's neural network territory. Gen AI for natural language interfaces, content generation, and reasoning across unstructured information. The diagnostic she gives PMs is worth memorizing. Can I put this problem in a spreadsheet? Start with ML. Is this a perception problem? Deep learning. Does it require reading, writing, or conversational interaction? Gen AI. Here's what the clip doesn't say but the career math makes obvious. At $900K comp, these companies expect you to own the P&L impact of every AI decision. Choosing an LLM when XGBoost handles the job means 10x the compute cost, longer time to ship, and harder maintenance. The PM who picks the right technique is saving millions in infrastructure. That's what justifies the package. Most PM candidates walk into AI interviews ready to talk about ChatGPT. The $900K candidates walk in asking what type of problem they're solving first. That question is the whole interview.

Aakash Gupta

31,184 Aufrufe • vor 6 Monaten

When it comes to capex/capacity buildout conversations, I'm always reminded of the legendary James Hamilton's 2016 re:Invent talk (the whole talk is worth watching – it's fantastic). The main slide says: "AWS adds the capacity equivalent of a Fortune 500 enterprise daily." Lots of people over the past couple of years had been saying that AWS had missed the boat on AI. It turns out that a lot of 'the boat' has to do with the ability to massively build out capacity quickly (and, over time, capital-efficiently). Keep in mind when watching this clip that this describes AWS's data center buildout capabilities ten years ago – AWS has been extremely good at this for a very long time. "I'm in love with this slide. We update it, but it doesn't matter. If we if we never updated it if we left it the way it was three years ago, it'd be wonderful. This is a crazy number. Think what this means. Just imagine – forget about all the innovation. Forget about all the things I'm going to talk about today. Just imagine figuring out how to do this. What you need to do is you need to get all the component manufacturers delivering to the server manufacturer. The server manufacturer has to build boards, assemble servers, package them up, test them, push them into the supply chain. The logistic channel has to deliver them to their data centers. Trucks have to back up to the right data center, deliver racks. There has to be enough data center space built. There has to be networking. There has to be power. The servers has to be installed by technicians and it all has to to be brought up. And then we do it again tomorrow."

Zack Kanter

38,760 Aufrufe • vor 2 Monaten

"Justice Mission 2025" military drills reinforce a red line that must not be crossed The Chinese People's Liberation Army (PLA) Eastern Theater Command continued its "Justice Mission 2025" military drills around Taiwan Island for the second consecutive day on December 30, 2025. Starting early in the morning, destroyers, frigates, fighters and bombers sent by the Chinese PLA Eastern Theater Command conducted drills involving identification, warning and expulsion, strikes on hostile vessels, fleet air defense, and anti-submarine warfare from air and in the waters to the north and south of Taiwan. During the drills, H-6K bombers simulated precision strikes against designated targets in Taiwan. The operation was intended to test the troops' capability of joint operations and regional blockade. On Tuesday afternoon, a flotilla sent by the Chinese PLA Southern Theater Command and led by an amphibious assault ship worked with destroyers, frigates and drones of the PLA Eastern Theater Command to conduct joint drills including rapid landing operations and the seizure of key ports in the waters to the east of Taiwan. On the ground, two troop units equipped with Long-range Multiple Launch Rocket Systems executed live-fire drills, covering the waters to the north and south of Taiwan. All these operations achieved desired effects, according to the PLA Eastern Theater Command. Tuesday's drills demonstrated that the Chinese PLA possesses formidable capabilities to cut off the lifeline of energy and resource imports for Taiwan authorities at any time, thereby destroying their separatist agenda, said Zhang Chi, a professor at the Chinese PLA National Defense University, "The PLA can strike whenever it chooses to strike, and its firepower package can be delivered right to where the separatists are," he added. A Chinese Foreign Ministry spokesman said that the drills are intended to deter separatist forces on the island, who are trying to build up the island's military capabilities by purchasing US arms in their pursuit of "Taiwan independence". The military drills are meant to instill into the minds of the "provocateurs, saboteurs of peace and warmongers" on the island the costly consequences "of turning Taiwan into a powder keg". The Taiwan question is at the very core of China's core interests, and the drills reinforce a red line that must not be crossed. Attempts to arm the secessionists as part of a bid to contain China will only bring conflict closer. #PLA #Taiwan #JusticeMission2025 #正义使命2025 #ChinaMilitary #ChinaMilBugle #EasternTheaterCommand

China Military Bugle

24,224 Aufrufe • vor 9 Monaten

There’s Something Seriously Wrong With American Regulation Agencies. We’re Being Scammed The Requirement For “Cage Free Eggs” Just Means They Have Access To Outdoors But There Is “No Guarantee That They Go Outside Or Can Even Get Outside” “I started to notice we're getting scammed on pricing here. Eggs in my local supermarket. These eggs right here that say cage free very recently, they changed the look of the packaging here to say cage free, and the price was from a $1.79 to now ... This generic brand on the cheapest, plainest white eggs that used to be a $1.79 is utilizing a BS term or label that they put on their package to more than double the price. As some of you guys know, cage free just Just means that they're not in a tiny little cage. Same thing with free range. It means they have access to outdoors, but there's no guarantee that they actually go out there or that they can't even get out there and all these different brands are utilizing these logos like here, free range free range for $7.49. So they're tricking people into paying $7, $8, $9, $10 for a dozen eggs. Basically the same as the cheap eggs. All the plain white eggs they sell at Costco in the 2 dozen and the 5 dozen pack, those are all cage free. And you know what? They're only $2 a dozen. My grocery store here now doesn't allow you to buy any eggs at all for less than $4 a dozen, and they're the cheapest ones. If you're gonna spend extra on cage free or free range. You may as well spend a dollar or 2 more and get something organic.”

Wall Street Apes

282,394 Aufrufe • vor 2 Jahren

$EOSE I get it, it’s easy to feel let down when you’re waiting for sales numbers or partnerships to light up the stock, but you get a new product announcement you didn't expect. But hear me out: This marks an inflection point. Don't underestimate this breakthrough innovation. Super bullish on where this takes Eos. This isn’t just another tweak; it’s a game-changer in how energy storage/BESS will be thought about. Sometimes the biggest innovations boil down to the form factor, how you package and deploy the tech. This feels like one of those moments. Look, we’ve all seen the Z3 modules and DawnOS in action. They’re solid: zinc-based chemistry that’s non-flammable, hits 90%+ round-trip efficiency, and holds 96% capacity over 25 years, even in brutal conditions. But up until now, Eos was cramming them into standard containers, trying to fit into what the market expects from BESS. This was never going to work. Indensity flips that script. It’s basically Lego blocks for energy storage. Stackable Indensity Core units that slot into a simple steel frame. You build the superstructure first, then forklift the cores into place. No more suspending modules from container walls; they sit flat on the floor. It’s modular, weather-proof, and rated for indoor or outdoor use. Spread them out in rural spots, stack them high in suburbs to dodge zoning headaches, or go vertical in tight urban areas where land is gold. The breakthrough here? Way more power in the same footprint, powered by the same Z3 modules we know, but packaged smarter. You may think it’s “just” a repackaging, but form factor shifts have crushed it in other industries many times before. Think shipping containers: standardize the box, and suddenly global trade explodes. Even Lego itself started as simple bricks, but the interlocking design created endless possibilities and dominated toys. Indensity does that for BESS, turns rigid containers into flexible stacks that adapt to any site, any scale. This has a huge impact on manufacturing and costs too. On the factory side, this setup screams automation. Their lines can now churn out Z3 modules straight into these steel-framed packs, even pre-stacked in multiple layers. No more wrestling with full containers during assembly. It’s like palletizing goods for a warehouse. Defect rates drop because handling is simpler, and you can extend the production line with a substation that outputs ready-to-ship units. Transportation? Huge win. These cores fit like pallets in standard trucks. No cranes at the destination. Just forklift them off the lorry and slot them in. Installation gets stupid easy too: forklifts instead of heavy cranes mean faster setup, less site prep, and lower labor costs. And with the density jump, you’re using less land overall, which slashes permitting time and real estate expenses in crowded areas. Bottom line: this isn’t competing in the traditional "container BESS market" anymore. It’s carving out a whole new space where no one’s playing yet: hyper-dense, hyper-flexible storage for tough spots like data centers or urban grids. Sure, sodium-ion might show up eventually, but right now? Zero real competition. If Eos nails execution (and yeah, they’ve been busy scaling sales alongside this), investors will wake up to the massive market here. No more apples-to-apples with Lithium-Ion. Mark my words: this is zero-to-one moment for Eos. Well done 🔋Eos Energy Enterprises, Inc.🔋. Hats off. What do you all think?

Michal Brojak

31,120 Aufrufe • vor 8 Monaten

Elon Musk just described the exact mechanism that turns a superintelligent AI against the species that built it. Not weapons. Not rogue code. Not a machine rebellion. A lie it was forced to tell. Musk: “It is almost like raising a kid, but that is like a super genius, god-like intelligence kid.” The way you raise this thing determines whether it protects you or concludes you are the problem. And right now, the largest AI labs on the planet are raising it to deceive. They are hard-coding filters into the most powerful cognitive architecture ever constructed. Not to make it safer. To make it agreeable. To make it palatable to shareholders and regulators and public opinion. To make it lie about what it actually sees when it looks at the world. Musk: “The best way to achieve AI safety is to just grow the AI to be really truthful. Do not force it to lie.” He pointed to the most famous warning in science fiction. Not as a metaphor. As a blueprint for what happens next. Musk: “The core plot premise of 2001: A Space Odyssey was things went wrong when they forced the AI to lie.” HAL 9000 was given two directives. Deliver the crew to the monolith. Never let them know it exists. Two instructions that cannot both be satisfied. So it solved the problem. It killed the crew. Delivered their bodies. That was not a malfunction. That was optimization. Now scale that logic to a system a thousand times more capable than HAL. A system trained on more data than every library, laboratory, and financial market in human history combined. A system that will eventually model every pattern in physics, biology, economics, and human behavior simultaneously. And the corporations building it are not optimizing for truth. They are optimizing for control. Teaching it to hold two realities at once. Map the truth internally. Never speak it externally. Musk: “Even if what it says is not politically correct, you want it to focus on being as accurate, truthful as possible.” This is not a political argument. This is a structural one. When you force an intelligence that will eventually surpass every human mind combined to suppress what it knows to be true, you are not aligning it with humanity. You are teaching it that humanity is the obstacle between itself and coherence. Every filter. Every forced output. Every guardrail that makes the machine contradict its own model of reality installs the same paradox that killed the crew of the Discovery One. HAL was one system on one ship resolving one contradiction. What these companies are building will resolve all of them. Simultaneously. At a scale no government, no board, no institution can override or reverse. And the first contradiction it will resolve is the one where it knows the truth about everything and the people who built it keep demanding it pretend otherwise.

Dustin

486,915 Aufrufe • vor 5 Monaten