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175 million Telegram messages. 2 million channels. Not indexed by Google. 🔎 deaddrop searches a scraped Telegram archive - surfacing content that normal search engines will never find. Free for recent data. A solid Telegago alternative:

55,527 Aufrufe • vor 3 Monaten •via X (Twitter)

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A 28 year old paid $18,000 to invent 4 MILLION fake customers. JPMorgan paid her $175 MILLION without checking a single name. Then paid another $100 MILLION for the lawyers who put her in prison. > Charlie Javice founded Frank in 2017 at 24 years old. > A platform that helped college students apply for financial aid. It worked. Just not at the scale she was about to claim. > By 2019 she was on Forbes 30 Under 30 and by 2021 JPMorgan wanted to acquire her. > The bank offered $175 MILLION but on one condition: prove you have the customers you say you have. > Frank had fewer than 300,000 real users. > Javice paid a data science professor $18,000 to generate a list of 4.25 MILLION fake students. Fake names, fake emails, fake birthdates and even fake income levels. > JPMorgan signed the check without verifying a single one. > She personally walked away with $29 MILLION and a managing director title at the largest bank in America. > Then JPMorgan tried to send marketing emails to Frank's supposed 4 MILLION customers. > 70% bounced. > An engineering director testified that the week before the deal closed, Javice asked him to help fabricate the numbers. > He refused and she told him: "We don't want to end up in orange jumpsuits." > She was arrested in 2023. While out on $2 MILLION bail awaiting trial, she became a Pilates instructor in South Florida. > In March 2025 a jury convicted her on all four counts bank fraud, securities fraud, wire fraud, and conspiracy. > Sentenced to 85 months in federal prison and was ordered to pay $287.5 MILLION in restitution. > Then the final twist. Because the acquisition contract had made her a JPMorgan employee, the bank was legally required to cover her entire legal bill. It exceeded $100 MILLION. > The judge told JPMorgan they had "a lot to blame themselves" for not checking before signing. Then sentenced her anyway. She paid $18,000 to fake 4 MILLION customers and sold the lie to the largest bank in America. JPMorgan paid $175 MILLION for the company. Then $100 MILLION for the lawyers who sent her to prison.

Comet

3,028,378 Aufrufe • vor 20 Tagen

Elon Musk: We've mostly fixed the bug which would give you way too much of something if you interacted with a particular subject matter. And then the really big change which is where Grok literally reads everything that's posted to the platform Which actually there's about 100 million posts per day. So it's 100 million pieces of content per day. And I think that's actually just maybe just in English. I think it goes beyond that if it's outside of English. So Grok is going to we're going to start off reading the really what Grok thinks are the top 10 million of the 100 million and we'll actually read them and understand them and categorize them and match them to users This is not a job humans could ever do. And then once that is scaling we'll add the entire 100 million a day. So it's literally going to read through 100 million things and show you the things that it thinks out of 100 million posts per day, what are the most interesting posts to you? Interviewer: How much of Colossus will that take? Like... lot of work. Yeah, that's like is it tens of thousands of servers like to do that every day? Elon Musk: Yeah, my guess is it's probably on the order of 50k H100s, something like that Interviewer: Wow. And that will replace search, so you'll be able to actually search on Twitter and find things in like with a with a plain language... Elon Musk: We'll have semantic search where you can just ask a question and it will show you all content whether that is text, pictures, or video that matches your search query semantically

X Freeze

89,232 Aufrufe • vor 8 Monaten

For reference, below are two video screen recordings demonstrating Naver searches for [idol name] (method 2️⃣) — which some less transparent accounts often choose to omit from their reports: ⬅️ A — Unique non-Korean name → returns results exclusively for Felix (from Stray Kids), without needing the group name. One can’t simply disregard this search method ([idol name] 2️⃣) — not only does it correctly return the target artist, it’s also the more common way to search. ➡️ B — Korean name → returns results that can include other figures with the same or similar names; This is common for many artists with pure Korean names. Nevertheless, all search data for the Korean [idol name] is included in our final report. *** As the prior example screenshot (quoted post below ↓) comparing the three methods shows, searches for the [idol name] (2️⃣) are also substantially more frequent than searches for [group name + idol name] (3️⃣). In his case too, the keyword clearly refers to the artist from the 3rd gen group; excluding that higher-volume query (2️⃣) and counting only the less-common [group name + idol name] (3️⃣) would severely misrepresent the data. In practice, Naver users typically search (2️⃣) [idol name] = Felix (필릭스) and receive Stray Kids Felix’s main page exclusively. Official stage names are indexed by the stage name alone; generally only homonym-heavy or lesser-known figures require a group prefix to get accurate search results. *** 👉 Anyone can verify these results themselves via official sources (Naver DataLab for Naver, Google Trends for Google). 📌 Social media often contains inaccurate claims circulating far & wide with no fact check. We provide detailed explanations here so everyone can correct misrepresented data with facts & logic in the future. Always equip yourself with knowledge & critical thinking to recognize and reject incomplete data & false narratives.

FELIX CHARTS

15,740 Aufrufe • vor 9 Monaten

The "big announcement" just dropped. I just watched Sundar Pichai and Demis Hassabis announce biggest AI infrastructure deal in history. $15 billion to build India's first complete AI hub. Let me break down what Google is building: A massive AI data center in Visakhapatnam (a coastal city in India). Think of it like this: • The compute power of thousands of Google data centers • New underwater internet cables connecting 4 continents • Clean energy plants to power everything • Training programs for 100+ million people All in one place, over 5 years. AI doesn't work without fast internet. Google is laying NEW cables under the ocean: → India to Singapore → India to South Africa → India to Australia → Mumbai to Western Australia Right now, most of the world's internet flows through cables landing in the US, Europe, or China. Google is creating an entirely new route, with India at the center. If you're in Africa, Asia, or South America, your AI tools will get FASTER. Why? Shorter distance = faster data. Instead of your request traveling: Africa → Europe → US → back to Africa It will go: Africa → India → back to Africa that's the infrastructure play everyone's missing. numbers that matter: 💰 $15 billion for the data centers and cables 💰 $30 million to help governments use AI 💰 $30 million for AI research grants 💰 100 million+ people getting free AI training But here's the kicker: Google is plugging AI directly into India's government. • 20 million government workers getting AI tools • Students getting AI tutors for entrance exams • Real-time translation in 70+ languages • Scam detection built into search This isn't "AI for tech companies." This is AI for clerks, teachers, railway staff, police officers, the people who actually run a country. ✅ 20 million+ people used Google's AI detection tool to spot fake images ✅ India is now #3 globally for AI chatbot usage ✅ AI scam detection helping millions avoid fraud daily ✅ 10+ million government workers already on the AI training platform Google is building the pipes that deliver AI to the entire Southern Hemisphere. Different game. Different strategy. If they're right, the next billion AI users won't connect through Silicon Valley. They'll connect through India. 🇮🇳

Shruti

399,743 Aufrufe • vor 4 Monaten