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T-1 before $DROPEE TGE, and I think the market is finally starting to understand why @dropee_app keeps getting attention across CT. The thesis is no longer just: “AI + Telegram.” It’s the convergence of: 📲 Telegram distribution 🤖 AI-native production 🎮 portfolio-scale app iteration 💰 built-in monetization 🔄 structural buybacks And from a builder perspective, the most important piece is Dropee Create. Most people still think Dropee Create is just: “AI generating Telegram apps.” But after digging deeper, I think the actual value proposition is much bigger. Dropee Create is trying to automate the ENTIRE operating stack behind Telegram Mini Apps. Not just coding. A creator can describe an idea in plain English, and the platform can automatically: 🧠 generate gameplay loops, progression systems & retention mechanics 🎮 design missions, rewards, upgrade systems & engagement flows 🎨 create character assets, UI layouts, branding & animations ⚙️ produce production-ready Telegram Mini App code 🌐 integrate TON wallets, token utilities & on-chain actions 💰 plug directly into Telegram Stars, ad monetization & $DROPEE incentives 📈 build referral systems, onboarding funnels & viral growth mechanics 📊 analyze engagement behavior to optimize retention and monetization That last layer is probably the strongest moat. Because in consumer apps, the hard problem is usually NOT: “Can you build something?” The hard problem is: ❌ Can you retain users? ❌ Can you monetize efficiently? ❌ Can you lower acquisition costs? ❌ Can you iterate faster than competitors? ❌ Can you scale distribution profitably? Most AI builders today only solve the first step. Dropee Create is trying to solve the full lifecycle: idea → product → monetization → growth → ecosystem retention. That’s why the Voodoo background matters so much. The team already understands: 📊 retention curves 💰 monetization optimization ⚡ rapid experimentation 📈 scaling consumer apps at massive volume Now they’re combining that operator experience with: 🤖 AI-native production 📲 Telegram-native distribution 🌐 TON-native payments & onboarding Which changes the economics of app creation dramatically. Traditional studios are constrained by: • developer bandwidth • production cost • long testing cycles • slow feedback loops Dropee Create reportedly compresses this into: ⚡ ~14-day concept-to-monetization cycles 💸 ~90% lower production costs Meaning the ecosystem can continuously: • test new app concepts • launch faster • scale winning products • kill weak performers quickly And unlike single-app ecosystems, Dropee compounds value across a portfolio. Every app connects into: ⭐ Telegram Stars 📢 shared ad infrastructure 🎁 cross-app $DROPEE rewards 🌐 unified TON onboarding So successful apps strengthen the broader ecosystem instead of existing independently. That portfolio structure is probably the strongest defense against the “post-airdrop collapse” problem Telegram ecosystems keep facing. And importantly: the traction already exists pre-TGE: ✅ 13M+ users ✅ ~$2.5M revenue ✅ 8 live applications ✅ #1# on TON in December Which makes the token mechanics much more compelling. Up to 50% of ecosystem revenue is allocated toward $DROPEE buybacks. Meaning: more creators → more apps → more monetization → more revenue → more structural buy pressure. Telegram distribution. AI-native production. Portfolio economics. Proven operators. Live revenue before TGE. That’s why the market keeps circling back to Dropee. ChainGPT Pad pre-sale closes today. TGE tomorrow 🚀 #Dropee# #DROPEE# #TON# #ChainGPTPad#

DARRYN PETERSON DROPPED A CAREER-HIGH 28 POINTS! 28 PTS 7 REB 4 3PM He becomes the first @utahjazz rookie since Donovan Mitchell (3x in 2017-18) to record at least five consecutive games with 20+ PTS 🤯

DARRYN PETERSON DROPPED A CAREER-HIGH 28 POINTS! 28 PTS 7 REB 4 3PM He becomes the first @utahjazz rookie since Donovan Mitchell (3x in 2017-18) to record at least five consecutive games with 20+ PTS!

Three people kicked in OnlyFans star Amouranth's bedroom door, put a pistol to her head and beat her. All while demanding $20 million in Bitcoin. She lied and told them she didn't know where it was and led them straight to her husband. The same husband that she has constantly complained about on stream. She even called the police on him at one point. This happened on March 2nd, 2025, in Houston Texas. The robbers came in through the back fence, smashed open the garage door, and inside they even tripped over a pile of kids toys. Kaitlyn "Amouranth" heard the noise and called her husband, he said it was most likely the dogs. She locked her bedroom door and kept him on the phone. That's when they confronted her, shot gunshots in the door and kicked it in, then turned on the lights. One of them had a gun to her head while another took her phone and demanded she opened Coinbase. She didn't even have the app. She told them she didn't have it then they started beating her with the pistol. After the third hit Kaitlyn lied and told them she remembered where it was. She ran barefoot in socks and pajamas to her husband in his mancave. Nick the husband was on the toilet and heard everything on speaker phone. He pulled up in briefs, put on a bulletproof vest and opened his gun safe. When the gunmen came in he told Kaitlyn to get down and she dropped to the floor. Nick then shot one of the gunmen. Then they ran away. Nick almost didn't call 911, because fans would swat their house all of the time. The only thing the robbers got away with was her MacBook, which had Find My turned on. The guy that Nick had shot was in the hospital, but it was too late. Four days later a trooper pulled over their getaway car because the driver didn't use his turn signal. He confessed on the spot. All four robbers were then charged with aggravated robbery and kidnapping. The internet thought this was all fake, so Kaitlyn posted the footage. In October 2022, she had cried on stream and told millions Nick controlled her money, threatened her, and to pretend to be single. After the robbery she called him a hero on camera. On May 11, 2025, they argued on stream for 10 hours. Nick accused her of cheating and she cried. When things heated up the cops came knocking on the door. In February of 2026, they were vacationing in Peru and had another fight in their hotel, police detained them both this time. The man who saved her from 3 gunmen is the same man she would keep calling the police on.

I am actually disgusted by the timing of this drop. And this will get a bit more technical. Let’s do a real technical teardown of this "1,385-sigma Blackwell weight fingerprint" report that OpenAI and Anthropic are breathlessly promoting today, because banking on nobody reading past the headline is how DC narratives get manufactured. ​First, look at the actual CUDA maths: when PyTorch initialises model weights (torch.nn.init) with a fixed PRNG seed, curand/Philox parallelises random number generation across the GPU’s Streaming Multiprocessors (SMs). Because Hopper has 132 SMs and Blackwell has 148 or 152 SMs, the exact same seed lays out initial weights in a different spatial pattern depending on the GPU’s SM count. In huge MoE models, certain low-gradient null-spaces or unrouted slices preserve faint directional traces of those step-0 weights even after training. ​So yes, brute-forcing the seed and SM grid can show that a model’s step_0 weight initialisation script ran on a 148/152-SM Blackwell GPU. Now read what the summary explicitly admits in the fine print: 1. Initialisation is not full training: The report literally states that these signatures show how the weights were created, and "support (but do not prove) the inference that Blackwell also participated in model training". Initialising a model checkpoint takes seconds on a single rented dev node before loading the safetensors onto a standard Hopper cluster. The "2,000 to 3,000 Blackwell GPUs" and "$500 million" cluster numbers do not come from the weight fingerprint and Depue admits in his own thread that he simply "estimated" cluster sizes from release schedules and model details. ​2. Zero geolocation and zero proof of smuggling: The final sentence of the executive summary explicitly admits that the findings "do not establish the physical location of the chips, how they were acquired, or whether export control regulations were violated". Depue himself rented a cloud GB200 instance just to run his verification test. Commercial labs that are not on the Entity List renting bare-metal Blackwell nodes in offshore clouds (Singapore, Japan, or the Middle East) is completely legal under BIS rules and leaves the exact same SM fingerprint. Now ask yourself why a former OpenAI researcher dropped this on November 12, the exact day Jensen Huang was pushed out, with OpenAI and Anthropic immediately stepping in to "independently verify" it. US closed-source labs are watching their paid API moats get eaten alive by free Chinese open-weights models. Conflating a step-0 PRNG initialisation seed with a "$500M smuggled Blackwell cluster" hands DC hawks the exact pretext OpenAI and Anthropic want to regulate global cloud compute and kneecap open-source AI.

She was 13, a straight-A student, when she sent her boyfriend one video. At her new school, a stranger sent her a link. It was on Pornhub, titled "13 year old brunette shows off for the camera." Too scared to tell her mom, she messaged Pornhub pretending to be her mother. Then it came back up. One copy hit 2.7 million views. In the video below, she tells it herself to the Canadian parliament. Wait for the 2.7 million views, and what the comments under that video said. Her mom was a strict Catholic, a single mother of six. Serena Fleites didn't want to bring this home. So she typed into Pornhub's own report form: "Hey, this is my daughter, she's only 14 now, this is child pornography, please take this down." They took a week or two to answer. Then another two weeks to actually remove it. She had been told Pornhub had a system. Once a video was flagged as child porn, it could never be uploaded again. "But of course that wasn't true, because a week after it's been taken down, it had been re-uploaded again." By then the video had gone around her school and the schools nearby. Strangers sent it to her. People threatened to send it to her family. She started ditching class, took drugs, dropped out and ended up homeless. "I ended up trying to kill myself many times. I ended up in mental hospitals." The copies kept collecting views. She had a hormone disorder: at 13 and 14 she looked 9 or 10. One upload sat at 2.7 million views under "hundreds of comments saying 'this is definitely child pornography, that girl can't be any more than 14, 13.'" Pornhub still wouldn't take it down. When they finally answered, she says, they hassled her for more details. A child had to prove she was the child in her own video. "I would have to go through the whole process of sending them pictures of me with my face next to my ID over and over and over again." Even then, every takedown dragged on, "which would gain hundreds of thousands more views." She told her family two days before the New York Times article came out. A 13-year-old flagged it. Hundreds of strangers flagged it. Pornhub asked for her ID. So was Pornhub just a slow website drowning in reports, or did it make money off every single week it made a child wait?

🚨 BREAKING: LONDON TRIED TO FLEX, ELON MUSK JUST DROPPED A TOTAL DIGITAL BLACKOUT! UK Prime Minister: "Elon Musk, adjust your platform algorithms and hand over satellite telemetry logs to our regulators immediately, or we will revoke your commercial spectrum licenses and seize all Starlink UK ground stations!" Elon Musk: "You confused parliamentary decrees with orbital mechanics. In space, satellite constellations don't bow to bureaucracy. Try revoking our licenses—your ministers can issue all the press releases they want, but your regional maritime routes can't function without high-speed telemetry." UK Prime Minister: "We will freeze SpaceX financial accounts in London and restrict your aerospace access!" Elon Musk: "Freeze whatever accounts you like! The moment your order goes live, SpaceX software shifts subsea data routing keys away from North Sea terminals. Good luck guiding transatlantic cargo fleets through maritime storms on dark screens!" If this exchange is real, the clash between government power and Elon Musk's technology empire just reached another level. Do you firmly support Elon Musk on this? YES or NO? IF Yes, Give me a THUMBS-UP👍!!