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The WhatsApp data leak affecting billions is a stark reminder: platform architecture matters. Telegram Messenger 's model—where a phone number is optional, not mandatory—is a powerful competitive advantage. Expect the already massive 2.5M DAILY NEW USERS to accelerate as users seek platforms that prioritize data sovereignty and privacy. This... is a clear indicator of where network effects are heading. Welcome to #AlphaTON Capital 💎🚀🎯 #WhatsAppLeak #DataLeak #CyberSecurity #Privacy #Telegram #TechNews ₿rittany Kaiser enzo villani Will De Ath Wes Levitt logan Jennifer de Broglie Anthony Scaramucci Michael Terpin Disclaimer: All scenes depicted in this video are entirely fictional and were created using generative AI technology.show more

AlphaTON Capital 💎 🚀

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When #TheMooch talks, Wall Street listens. We took our world tour to the SALT stage in London, and founder Anthony Anthony Scaramucci gave AlphaTON Capital 💎 🚀 & the Telegram Messenger ecosystem a massive endorsement in front of 300+ institutional investors. His direct quote: "We are excited to be a strategic advisor to AlphaTON Capital, excited about the adoption and growth of the token and about the overall growth of the Telegram app." Why this matters: Telegram gets 2.5M new users EVERY DAY. With 1B+ active users, it's a top-4 global platform. The smartest money sees what we're building. Are you paying attention? 💎🚀⛏🎯 Huge thanks to Anthony Scaramucci and the SALT team for a high impact event! #AlphaTON #SALT #InstitutionalInvestors #Telegram #Nasdaq #ATON #DeFi ₿rittany Kaiser enzo villani logan Will De Ath Jennifer de Broglie Wes Levitt

When #TheMooch talks, Wall Street listens. We took our world tour to the SALT stage in London, and founder Anthony Anthony Scaramucci gave AlphaTON Capital 💎 🚀 & the Telegram Messenger ecosystem a massive endorsement in front of 300+ institutional investors. His direct quote: "We are excited to be a strategic advisor to AlphaTON Capital, excited about the adoption and growth of the token and about the overall growth of the Telegram app." Why this matters: Telegram gets 2.5M new users EVERY DAY. With 1B+ active users, it's a top-4 global platform. The smartest money sees what we're building. Are you paying attention? 💎🚀⛏🎯 Huge thanks to Anthony Scaramucci and the SALT team for a high impact event! #AlphaTON #SALT #InstitutionalInvestors #Telegram #Nasdaq #ATON #DeFi ₿rittany Kaiser enzo villani logan Will De Ath Jennifer de Broglie Wes Levitt

AlphaTON Capital 💎 🚀

47,758 Aufrufe • vor 10 Monaten

Listen to what Yat Siu , co-founder of Animoca Brands ✈️ SuperAI 🇸🇬 and one of the top 10 most influential leaders in crypto has to say about AlphaTON Capital 💎 🚀 : At the GBA Future of Money, Governance and the Law event in Washington D.C., Yat shared his 2026 outlook for AlphaTON Capital. He explains why AlphaTON Capital is the next big thing! By integrating gaming and building true operational capability, AlphaTON Capital is evolving into a key player in the TON 💎 and Telegram Messenger ecosystems for operating profit and long-term network growth. NASDAQ : $ATON 💎🚀🎯 ₿rittany Kaiser enzo villani Wes Levitt logan Jennifer de Broglie Yury Mitin Anthony Scaramucci Will De Ath

Listen to what Yat Siu , co-founder of Animoca Brands ✈️ SuperAI 🇸🇬 and one of the top 10 most influential leaders in crypto has to say about AlphaTON Capital 💎 🚀 : At the GBA Future of Money, Governance and the Law event in Washington D.C., Yat shared his 2026 outlook for AlphaTON Capital. He explains why AlphaTON Capital is the next big thing! By integrating gaming and building true operational capability, AlphaTON Capital is evolving into a key player in the TON 💎 and Telegram Messenger ecosystems for operating profit and long-term network growth. NASDAQ : $ATON 💎🚀🎯 ₿rittany Kaiser enzo villani Wes Levitt logan Jennifer de Broglie Yury Mitin Anthony Scaramucci Will De Ath

AlphaTON Capital 💎 🚀

16,203 Aufrufe • vor 8 Monaten

𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮. 𝗬𝗼𝘂𝗿 𝗔𝗜. 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗿𝗼𝗹. 𝗧𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗶𝘁. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼 𝘆𝗼𝘂 𝗳𝗲𝗲𝗱 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 #AI? The future of AI isn't about giving up your privacy to a tech giant. It's about sovereignty. Ben Goertzel the godfather of #AGI shares the vision. We're collaborating with SingularityNET to power Cocoon AI: Telegram Messenger ’s decentralized AI network. By securing high-performance compute infrastructure that is encrypted and decentralized, we are ensuring access to all Telegram users - more than 1 billion people right now - to top-tier AI tools without ever exposing their personal data. ✅ Decentralized Intelligence ✅ Military-Grade Privacy ✅ Zero-Carbon Footprint NASDAQ: $ATON The backbone of ethical AI 💎🚀🎯 #DataPrivacy #ATON ₿rittany Kaiser 💎 🚀 enzo villani Wes Levitt Will De Ath logan Yury Mitin Jennifer de Broglie Anthony Scaramucci

𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮. 𝗬𝗼𝘂𝗿 𝗔𝗜. 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗿𝗼𝗹. 𝗧𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗶𝘁. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼 𝘆𝗼𝘂 𝗳𝗲𝗲𝗱 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 #AI? The future of AI isn't about giving up your privacy to a tech giant. It's about sovereignty. Ben Goertzel the godfather of #AGI shares the vision. We're collaborating with SingularityNET to power Cocoon AI: Telegram Messenger ’s decentralized AI network. By securing high-performance compute infrastructure that is encrypted and decentralized, we are ensuring access to all Telegram users - more than 1 billion people right now - to top-tier AI tools without ever exposing their personal data. ✅ Decentralized Intelligence ✅ Military-Grade Privacy ✅ Zero-Carbon Footprint NASDAQ: $ATON The backbone of ethical AI 💎🚀🎯 #DataPrivacy #ATON ₿rittany Kaiser 💎 🚀 enzo villani Wes Levitt Will De Ath logan Yury Mitin Jennifer de Broglie Anthony Scaramucci

AlphaTON Capital 💎 🚀

91,522 Aufrufe • vor 9 Monaten

"What is the cleanest way to compare Billions with other web3 identity layers and privacy layers?" The word privacy means a lot of things to a lot of different people. Often it is associated with consent, which is an action that you take that diminishes the privacy of a given set of data. Privacy is basically the process of information arbitrage, the selective disclosure of data in order to enable interactions. Although in a web2 environment, that "free" transaction of data often weighs very heavily to one side. When we talk about privacy at Billions Network, privacy is a static state, the absence of disclosure, or a way to describe the outcomes of mechanisms of data disclosure. We really focus on those instances where the selective disclosure of data is a question of legal compliance, of security, of financial value, where the decision to leverage this technology is not necessarily one of personal feelings, but rather of business efficiency, of compliance, and security. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025 In an era where AI is rapidly evolving, the boundaries of identity and privacy are being rewritten. Don’t miss our next Billions event in Shenzhen, China 🇨🇳 🗓 Date & Time Dec 21 (Sun), 20:00–23:00 Join a relaxed evening to experience our privacy-preserving verification and dive into the future of human + AI privacy In collaboration with: TinTinLand (TinTinLand 中文), Asia’s leading Web3 platform for developer growth and ecosystem acceleration.

"What is the cleanest way to compare Billions with other web3 identity layers and privacy layers?" The word privacy means a lot of things to a lot of different people. Often it is associated with consent, which is an action that you take that diminishes the privacy of a given set of data. Privacy is basically the process of information arbitrage, the selective disclosure of data in order to enable interactions. Although in a web2 environment, that "free" transaction of data often weighs very heavily to one side. When we talk about privacy at Billions Network, privacy is a static state, the absence of disclosure, or a way to describe the outcomes of mechanisms of data disclosure. We really focus on those instances where the selective disclosure of data is a question of legal compliance, of security, of financial value, where the decision to leverage this technology is not necessarily one of personal feelings, but rather of business efficiency, of compliance, and security. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025 In an era where AI is rapidly evolving, the boundaries of identity and privacy are being rewritten. Don’t miss our next Billions event in Shenzhen, China 🇨🇳 🗓 Date & Time Dec 21 (Sun), 20:00–23:00 Join a relaxed evening to experience our privacy-preserving verification and dive into the future of human + AI privacy In collaboration with: TinTinLand (TinTinLand 中文), Asia’s leading Web3 platform for developer growth and ecosystem acceleration.

Billions

20,164 Aufrufe • vor 9 Monaten

Telegram Founder Durov: Using Technology to Protect Our Digital Rights and Freedom On October 30, at the Blockchain Life 2025 summit in Dubai, Telegram founder Pavel Durov stated that users are losing their digital freedom, with private information at risk of being misused by third parties — even in traditionally free countries where privacy and free speech are being restricted. He proposed a solution: building "decentralized AI" that belongs to the people，not to corporations or governments. Telegram is developing a blockchain-based private AI network that allows users to access common features without giving up their data. Durov emphasized that we must use technology to defend our freedom and rights. Source：

Telegram Founder Durov: Using Technology to Protect Our Digital Rights and Freedom On October 30, at the Blockchain Life 2025 summit in Dubai, Telegram founder Pavel Durov stated that users are losing their digital freedom, with private information at risk of being misused by third parties — even in traditionally free countries where privacy and free speech are being restricted. He proposed a solution: building "decentralized AI" that belongs to the people，not to corporations or governments. Telegram is developing a blockchain-based private AI network that allows users to access common features without giving up their data. Durov emphasized that we must use technology to defend our freedom and rights. Source：

Wu Blockchain

78,413 Aufrufe • vor 10 Monaten

We all know AI is the future of technology. But almost nobody will OWN the technology shaping that future. The AI race is already underway. Billions are being invested. Companies are moving fast. AI is already reshaping entire industries. But when all this value gets created…Who actually benefits? Right now, mostly a handful of billionaires and Big Tech companies. We don’t think that’s fair. If AI is being built on the data, behavior, and contributions of ordinary people… Then ordinary people should share in the value it creates. That’s exactly what we’re building at Action Model: A future where AI is owned by the people, not just the few at the top.

We all know AI is the future of technology. But almost nobody will OWN the technology shaping that future. The AI race is already underway. Billions are being invested. Companies are moving fast. AI is already reshaping entire industries. But when all this value gets created…Who actually benefits? Right now, mostly a handful of billionaires and Big Tech companies. We don’t think that’s fair. If AI is being built on the data, behavior, and contributions of ordinary people… Then ordinary people should share in the value it creates. That’s exactly what we’re building at Action Model: A future where AI is owned by the people, not just the few at the top.

Action Model

21,405 Aufrufe • vor 4 Monaten

$The Fed and Wall Street want you focused on AI as the story of growth. Look at where the money is actually going. Hyperscalers are about to flood the market with tens of billions in bonds. That capital has to come from somewhere. Every dollar that funds a data center is a dollar not funding a mortgage, a bank bond, an industrial company. Meanwhile the jobs that should come with a real industrial revolution aren't showing up. Hiring is flat. Younger workers are vanishing from payrolls. And a data center, once built, runs on a tiny fraction of the workforce the spending implies. The productivity gains that were supposed to justify all this are nowhere to be found yet, and may not show up for years. Which raises the real question nobody in the headlines is asking: what is all this capital actually buying.$

The Fed and Wall Street want you focused on AI as the story of growth. Look at where the money is actually going. Hyperscalers are about to flood the market with tens of billions in bonds. That capital has to come from somewhere. Every dollar that funds a data center is a dollar not funding a mortgage, a bank bond, an industrial company. Meanwhile the jobs that should come with a real industrial revolution aren't showing up. Hiring is flat. Younger workers are vanishing from payrolls. And a data center, once built, runs on a tiny fraction of the workforce the spending implies. The productivity gains that were supposed to justify all this are nowhere to be found yet, and may not show up for years. Which raises the real question nobody in the headlines is asking: what is all this capital actually buying.

Jeffrey P. Snider

12,977 Aufrufe • vor 1 Monat

Here is my Entry for Telegram Messenger Digital Freedom Contest inspired by Pavel Durov Digital freedom isn't just about technology. It's about people. It's about the right to communicate without fear, to protect our privacy, and to ensure our identities remain our own. This video is my reflection on why digital freedom matters in a world where every click, message, and conversation leaves a footprint. Inspired by Pavel Durov's vision, it's a reminder that privacy isn't something we should have to earn, it's something we should expect. When trusted platforms are restricted, people don't stop communicating. They simply look for other ways, often exposing themselves to greater risks. The goal shouldn't be to limit freedom, but to create a digital world where security, privacy, and open communication can coexist. Our identities were never meant to be exploited. They were meant to be protected. I hope this story encourages more people to think about the future we're building online, and the freedoms we choose to preserve. #DIGITALFREEDOM

Here is my Entry for Telegram Messenger Digital Freedom Contest inspired by Pavel Durov Digital freedom isn't just about technology. It's about people. It's about the right to communicate without fear, to protect our privacy, and to ensure our identities remain our own. This video is my reflection on why digital freedom matters in a world where every click, message, and conversation leaves a footprint. Inspired by Pavel Durov's vision, it's a reminder that privacy isn't something we should have to earn, it's something we should expect. When trusted platforms are restricted, people don't stop communicating. They simply look for other ways, often exposing themselves to greater risks. The goal shouldn't be to limit freedom, but to create a digital world where security, privacy, and open communication can coexist. Our identities were never meant to be exploited. They were meant to be protected. I hope this story encourages more people to think about the future we're building online, and the freedoms we choose to preserve. #DIGITALFREEDOM

IFENIO 👁️ | InterLink Labs Trainee ambassador

13,387 Aufrufe • vor 2 Monaten

Base has been home since 2024. We're building the world's largest decentralized telecom network and it settles to Base. Users can join the global telecom sharing economy, entirely onchain on Base in all aspects of our network. 3M+ daily active users utilize our network, and as we enter the next phase of scaling this video showcases what World Mobile already does on Base: Privacy First cellular phone plans, the first ones that pay you back, owning the core infrastructure of the network and earning rewards in stables, building the network, all transactions onchain settling to base and empowering base native communities like TOSHI We are spearheading the push for global adoption of a new onchain economy, built by all of us for all of us. World Mobile is live on Base

Base has been home since 2024. We're building the world's largest decentralized telecom network and it settles to Base. Users can join the global telecom sharing economy, entirely onchain on Base in all aspects of our network. 3M+ daily active users utilize our network, and as we enter the next phase of scaling this video showcases what World Mobile already does on Base: Privacy First cellular phone plans, the first ones that pay you back, owning the core infrastructure of the network and earning rewards in stables, building the network, all transactions onchain settling to base and empowering base native communities like TOSHI We are spearheading the push for global adoption of a new onchain economy, built by all of us for all of us. World Mobile is live on Base

World Mobile

21,566 Aufrufe • vor 6 Monaten

JD Vance just admitted the White House could take ownership of every major AI company in the US. Why? Because even governments are starting to realize the same thing: AI will create trillions in value, and at this rate, only a few Big Tech companies will benefit. Right now, billions of people are training AI every day through their data, actions, and online behavior. Yet almost all of the value flows back to a few billionaires and shareholders. That doesn't seem fair. At Action Model, we're building a different future. A people-owned AI model where those helping train it can share in the value they help create. If AI is built by the people, it should benefit the people too. Sign up to the Action Model movement and join the 500k+ users already contributing to a community-owned AI.

JD Vance just admitted the White House could take ownership of every major AI company in the US. Why? Because even governments are starting to realize the same thing: AI will create trillions in value, and at this rate, only a few Big Tech companies will benefit. Right now, billions of people are training AI every day through their data, actions, and online behavior. Yet almost all of the value flows back to a few billionaires and shareholders. That doesn't seem fair. At Action Model, we're building a different future. A people-owned AI model where those helping train it can share in the value they help create. If AI is built by the people, it should benefit the people too. Sign up to the Action Model movement and join the 500k+ users already contributing to a community-owned AI.

Action Model

20,031 Aufrufe • vor 3 Monaten

GMiden everyone 🤟 In finance, one rule always holds: a business is only as secure as the data behind it. So when the Miden team talks about Practical Private Finance, its not marketing - its a new on-chain model that finally works in real-world conditions. What’s the core idea behind Miden approach? The breakthrough is client-side proving: all computation happens on the users device. Your phone or laptop generates a local ZK-STARK proof, and the network verifies only correctnes. No exposed balances, no leaked strategies, no unnecessary risks. The chain sees the proof, but never your local state. That’s what practical privacy looks like. This is the kind of privacy blockchains should have offered to banks, brokers, trading platforms, and institutions yaers ago. And now it becomes real: private smart contracts, private execution, full control over state, fast performance, and programmable confidentiality - all without sacrificing speed or scalability. Practical Private Finance from Miden isnt a plug-in on top of the EVM. Its a new financial architecture where offchain data, proof-based validation, and compliance-ready design work as a unified system. This is how on-chain finally returns to sanity where trust isnt a slogan, but cryptography. And that’s exactly what inspired todays non NFT crypto art with my unofficial Miden mascot. The art itself in good quality is in the quote under this postHope you enjoy it )) #Miden #ClientSideProving

GMiden everyone 🤟 In finance, one rule always holds: a business is only as secure as the data behind it. So when the Miden team talks about Practical Private Finance, its not marketing - its a new on-chain model that finally works in real-world conditions. What’s the core idea behind Miden approach? The breakthrough is client-side proving: all computation happens on the users device. Your phone or laptop generates a local ZK-STARK proof, and the network verifies only correctnes. No exposed balances, no leaked strategies, no unnecessary risks. The chain sees the proof, but never your local state. That’s what practical privacy looks like. This is the kind of privacy blockchains should have offered to banks, brokers, trading platforms, and institutions yaers ago. And now it becomes real: private smart contracts, private execution, full control over state, fast performance, and programmable confidentiality - all without sacrificing speed or scalability. Practical Private Finance from Miden isnt a plug-in on top of the EVM. Its a new financial architecture where offchain data, proof-based validation, and compliance-ready design work as a unified system. This is how on-chain finally returns to sanity where trust isnt a slogan, but cryptography. And that’s exactly what inspired todays non NFT crypto art with my unofficial Miden mascot. The art itself in good quality is in the quote under this postHope you enjoy it )) #Miden #ClientSideProving

Konstantin

14,537 Aufrufe • vor 10 Monaten

Guys check out this latest tech token that just have today and is definitely flying under the radar! 🚀 Agent Alpha has been building in stealth mode for the past year. Their platform lets users deploy AI agents that gather trading alpha continuously, from Telegram, Dexscreener, X, wallet trackers, anything with visual input. Their agents analyze the data in real-time to give traders buy and sell recommendations based off the parameters the user inputs. 🔥 Agent Alpha is launching in the next week for DEX, with Telegram and X set to follow quickly behind. They have several high profile partnerships with other agentic projects in the coming weeks, where these projects will be using Agent Alpha to gather real-time data. They are the first product to launch using the framework created by LiftDataAI. 💎 Also coming soon is Agent Alpha's own extensible framework, which will enable advanced users to add new data sources to the platform and integrate their own tools for technical analysis. Advanced users will be able to deploy agents privately, or tokenize them and release them publicly. ⭐️ Agent Alpha will only be available to holders of the $AA ticker. ⚡️ 📈DexScreener - 🕊Twitter - 🌐website -

Pumpcoinbets - Crypto & NFT

75,322 Aufrufe • vor 1 Jahr

🚨 SNAPCHAT JUST FLIPPED ON A SETTING THAT CAN TRAIN AI WITH YOUR FACE, VOICE & SAVED SNAPS - AND MOST PEOPLE HAVE NO IDEA A viral video is exploding after a creator uncovered a hidden Snapchat setting that gives the app permission to use your face, your voice, and even your saved snaps to train their AI systems - and the craziest part? It’s automatically turned ON. She shows exactly where it’s buried: Settings → Privacy & Data → Generative AI Settings → “Allow Use of Public Content” Inside that toggle is the permission that lets Snapchat: • scan your saved snaps • map your facial data • analyze your voice patterns • store it • and then feed it into AI training People checking their phones are finding it enabled without ever touching it. The reactions are full panic: “Mine was ON. I never even saw this.” “This should be illegal.” “They’re training AI with kids’ faces???” “Turning this OFF immediately.” “No app should get to do this without permission.” The creator even turned it off on her little brother’s account because he had no idea Snapchat could use his data this way. Between deepfakes, AI clones, and identity scraping, users are calling this Snapchat’s “creepiest update yet.” Is this the future of social media… or a massive privacy line being crossed?

🚨 SNAPCHAT JUST FLIPPED ON A SETTING THAT CAN TRAIN AI WITH YOUR FACE, VOICE & SAVED SNAPS - AND MOST PEOPLE HAVE NO IDEA A viral video is exploding after a creator uncovered a hidden Snapchat setting that gives the app permission to use your face, your voice, and even your saved snaps to train their AI systems - and the craziest part? It’s automatically turned ON. She shows exactly where it’s buried: Settings → Privacy & Data → Generative AI Settings → “Allow Use of Public Content” Inside that toggle is the permission that lets Snapchat: • scan your saved snaps • map your facial data • analyze your voice patterns • store it • and then feed it into AI training People checking their phones are finding it enabled without ever touching it. The reactions are full panic: “Mine was ON. I never even saw this.” “This should be illegal.” “They’re training AI with kids’ faces???” “Turning this OFF immediately.” “No app should get to do this without permission.” The creator even turned it off on her little brother’s account because he had no idea Snapchat could use his data this way. Between deepfakes, AI clones, and identity scraping, users are calling this Snapchat’s “creepiest update yet.” Is this the future of social media… or a massive privacy line being crossed?

HustleBitch

381,733 Aufrufe • vor 10 Monaten

This info about META will BLOW YOUR MIND American “I worked in IT for like 13 years” “I learned a lot about data privacy — and social media and what apps are notoriously bad when it comes to data privacy. At the very top of the list, the worst offender, the worst app for data privacy is Facebook Messenger” “Let me just explain this to you. If you have Messenger on your phone and you don't have any other apps by Meta, you don't have Facebook, Instagram, threads, nothing. If the only thing from Meta you have on your phone is Messenger and you connect to a WiFi, Messenger makes a map of that Wi-Fi network. - It collects information about every single device that is connected to that network - So every phone, every computer, every tablet, every printer, every camera, every thermostat, every smart TV, every Roku device, and on every single one of those devices - They're collecting the name of the device, the IP address of the device, what type of device it is, whether or not your device has access to that device And this doesn't just happen on your home network, it happens on every Wi-Fi network you connect to. —- And it's a lot more information than just, oh, there's 200 devices connected to this network. No, it's detailed information about every single device. Like, here's a mobile device connected - it's an iPhone - It's titled Jeremy's iPhone - It's running iOS version blank blank - Its IP address is blank blank blank blank - Its MAC address or its hardware ID is blank blank blank But they also collect a crap ton of information from your actual phone. Like - The names, phone numbers, email addresses, and social links of literally everyone in your contacts. - Your location history - Your browsing history. - A detailed list of every single app that you've ever installed - YOUR PASSWORDS - YOUR FINGERPRINTS - YOUR FACE ID Spoiler alert, it's not. Downloading Messenger means that you consent to their terms of service. You give consent just by downloading the Messenger app. Using the service and downloading the app gives consent. Consent for your phone to be used as a data collection device. To collect data about every place you go and every person you're in contact with. — Messenger is easily the worst one”

This info about META will BLOW YOUR MIND American “I worked in IT for like 13 years” “I learned a lot about data privacy — and social media and what apps are notoriously bad when it comes to data privacy. At the very top of the list, the worst offender, the worst app for data privacy is Facebook Messenger” “Let me just explain this to you. If you have Messenger on your phone and you don't have any other apps by Meta, you don't have Facebook, Instagram, threads, nothing. If the only thing from Meta you have on your phone is Messenger and you connect to a WiFi, Messenger makes a map of that Wi-Fi network. - It collects information about every single device that is connected to that network - So every phone, every computer, every tablet, every printer, every camera, every thermostat, every smart TV, every Roku device, and on every single one of those devices - They're collecting the name of the device, the IP address of the device, what type of device it is, whether or not your device has access to that device And this doesn't just happen on your home network, it happens on every Wi-Fi network you connect to. —- And it's a lot more information than just, oh, there's 200 devices connected to this network. No, it's detailed information about every single device. Like, here's a mobile device connected - it's an iPhone - It's titled Jeremy's iPhone - It's running iOS version blank blank - Its IP address is blank blank blank blank - Its MAC address or its hardware ID is blank blank blank But they also collect a crap ton of information from your actual phone. Like - The names, phone numbers, email addresses, and social links of literally everyone in your contacts. - Your location history - Your browsing history. - A detailed list of every single app that you've ever installed - YOUR PASSWORDS - YOUR FINGERPRINTS - YOUR FACE ID Spoiler alert, it's not. Downloading Messenger means that you consent to their terms of service. You give consent just by downloading the Messenger app. Using the service and downloading the app gives consent. Consent for your phone to be used as a data collection device. To collect data about every place you go and every person you're in contact with. — Messenger is easily the worst one”

Wall Street Apes

215,676 Aufrufe • vor 1 Jahr

Elon Musk On What It Takes To Build A Competitive AI Model Elon Musk breaks down the three factors that decide whether a foundation model can compete, and why the next frontier isn't human data at all. Speaking with Garry Tan, President and CEO of Y Combinator, Elon lays out what's actually required to build a large foundation model that's competitive: "You've got to get a lot of GPUs and have them train coherently and stably. Then it's like, what unique access to data do you have? I guess distribution matters to some degree as well like, how do people get exposed to your AI? Those are critical factors." But there's a problem with the data part of that equation. Echoing what a friend in the field has said, Elon explains that the industry has essentially run out of human-generated pre-training data: "You run out of tokens pretty fast, certainly of high-quality tokens. And then you need to essentially create synthetic data, and be able to accurately judge the synthetic data that you're creating, to verify: is this real synthetic data, or is it a hallucination that doesn't actually match reality?" That verification step is the hard part: "Achieving grounding in reality is tricky. But we are at the stage where there's more effort put into synthetic data. Right now we're training Grok 3.5, which is a heavy focus on reasoning." On reasoning, Garry Tan adds an interesting detail from researchers he's spoken to: hard science, particularly physics textbooks is very useful for training reasoning, whereas social science is "totally useless" for it. Elon's response: "Yes, that's probably true." He then points to where all of this is heading: "Something that's going to be very important in the future is combining deep AI in the data center or supercluster with robotics. So, things like the Optimus humanoid robot."

Elon Musk On What It Takes To Build A Competitive AI Model Elon Musk breaks down the three factors that decide whether a foundation model can compete, and why the next frontier isn't human data at all. Speaking with Garry Tan, President and CEO of Y Combinator, Elon lays out what's actually required to build a large foundation model that's competitive: "You've got to get a lot of GPUs and have them train coherently and stably. Then it's like, what unique access to data do you have? I guess distribution matters to some degree as well like, how do people get exposed to your AI? Those are critical factors." But there's a problem with the data part of that equation. Echoing what a friend in the field has said, Elon explains that the industry has essentially run out of human-generated pre-training data: "You run out of tokens pretty fast, certainly of high-quality tokens. And then you need to essentially create synthetic data, and be able to accurately judge the synthetic data that you're creating, to verify: is this real synthetic data, or is it a hallucination that doesn't actually match reality?" That verification step is the hard part: "Achieving grounding in reality is tricky. But we are at the stage where there's more effort put into synthetic data. Right now we're training Grok 3.5, which is a heavy focus on reasoning." On reasoning, Garry Tan adds an interesting detail from researchers he's spoken to: hard science, particularly physics textbooks is very useful for training reasoning, whereas social science is "totally useless" for it. Elon's response: "Yes, that's probably true." He then points to where all of this is heading: "Something that's going to be very important in the future is combining deep AI in the data center or supercluster with robotics. So, things like the Optimus humanoid robot."

High Signal AI

21,733 Aufrufe • vor 2 Monaten

Cerebras CEO: Frontier AI CEOs are “racing against their own sense of greatness… and there will be a massive data leak” “There will be a tornado, there will be a massive earthquake… and we have to steel ourselves in advance.” $CBRS CEO Andrew Feldman: “They're inventing this as they go, too. There's not a playbook. We say, ‘Oh, just put on guardrails.’ Well, they have to design the guardrails. The guardrails have an impact. So they're racing against competition. They're racing against their own sense of greatness. Which is maybe even the biggest driver here. And I think they're in earnest trying to think about how to do the right thing. And there will be a massive data leak. We know this. Warren Buffett talked about the reinsurance industry, that you know something bad's going to happen. You don't know when, but you gotta save up for it, right? You put money away for reinsurance. But there will be a tornado, there will be a massive earthquake. I mean, we know this, and we can do our best to plan, but there will be a massive breach, and we have to steel ourselves in advance. And we have to prepare ourselves for a future that is, in specific, unknown, but in general, we're pretty sure something's going to happen.” @jason: “Something will happen. And it's typically a black swan, right?” Feldman: “That’s right.” ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads — 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Advertiser access is in closed beta. The window is open at Positioned at the nexus of technology and the capital markets, Nasdaq provides premier platforms and services for global capital markets and beyond with unmatched technology, insights and markets expertise. And a special thank you to RAISE Summit for hosting us in Paris

Cerebras CEO: Frontier AI CEOs are “racing against their own sense of greatness… and there will be a massive data leak” “There will be a tornado, there will be a massive earthquake… and we have to steel ourselves in advance.” $CBRS CEO Andrew Feldman: “They're inventing this as they go, too. There's not a playbook. We say, ‘Oh, just put on guardrails.’ Well, they have to design the guardrails. The guardrails have an impact. So they're racing against competition. They're racing against their own sense of greatness. Which is maybe even the biggest driver here. And I think they're in earnest trying to think about how to do the right thing. And there will be a massive data leak. We know this. Warren Buffett talked about the reinsurance industry, that you know something bad's going to happen. You don't know when, but you gotta save up for it, right? You put money away for reinsurance. But there will be a tornado, there will be a massive earthquake. I mean, we know this, and we can do our best to plan, but there will be a massive breach, and we have to steel ourselves in advance. And we have to prepare ourselves for a future that is, in specific, unknown, but in general, we're pretty sure something's going to happen.” @jason: “Something will happen. And it's typically a black swan, right?” Feldman: “That’s right.” ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads — 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Advertiser access is in closed beta. The window is open at Positioned at the nexus of technology and the capital markets, Nasdaq provides premier platforms and services for global capital markets and beyond with unmatched technology, insights and markets expertise. And a special thank you to RAISE Summit for hosting us in Paris

The All-In Podcast

42,754 Aufrufe • vor 2 Monaten

Do you have what it takes to forecast International trade? Today, we are launching AI4trade, a global challenge where teams compete for cash prizes by submitting their best trade forecasts. But it comes with a couple of twists: 1. This is a future out-of-sample challenge, so teams will need to forecast data that will not exist at the time of submission (impossible to train to the test 👹). 2. Forecasts must be better than simply using the latest trade data available at the time of submission (e.g. using July data as a prediction for October numbers ⏰). This should be a fun global competition. People from all parts of the world are welcome to participate and all methods are allowed. We hope the challenge stimulates more work at the intersection of AI and economics. Link in the first comment: 👇

Do you have what it takes to forecast International trade? Today, we are launching AI4trade, a global challenge where teams compete for cash prizes by submitting their best trade forecasts. But it comes with a couple of twists: 1. This is a future out-of-sample challenge, so teams will need to forecast data that will not exist at the time of submission (impossible to train to the test 👹). 2. Forecasts must be better than simply using the latest trade data available at the time of submission (e.g. using July data as a prediction for October numbers ⏰). This should be a fun global competition. People from all parts of the world are welcome to participate and all methods are allowed. We hope the challenge stimulates more work at the intersection of AI and economics. Link in the first comment: 👇

César A. Hidalgo

22,924 Aufrufe • vor 1 Jahr

What is Nostr? Jack Dorsey explains it in just two minutes 👀 Nostr is revolutionizing the way we think about online communication and social networking. As an open protocol—short for "Notes and Other Stuff Transmitted by Relays"—it empowers users to share information in a decentralized manner, promoting freedom of expression and data security. Here are some key insights into why Nostr is gaining traction: A Response to Social Media Failures The current landscape of social media is fraught with issues—manipulative algorithms, intrusive ads, and rampant censorship. Nostr addresses these challenges head-on by offering an alternative that prioritizes user agency and transparency. It allows individuals to curate their experiences without being subjected to opaque corporate agendas. Decentralization at Its Core Nostr operates without a central authority, meaning there’s no single point of failure. This architecture not only enhances resilience against attacks but also ensures that users maintain control over their data. In a world where censorship is increasingly prevalent, Nostr’s structure allows for censorship-resistant communication, making it a compelling alternative to traditional social media platforms. User Empowerment through Cryptography At the heart of Nostr's functionality are cryptographic keys. Users generate unique "events" signed with their private keys, which are then broadcasted through independent relays. This not only secures communications but also enables users to verify their identities easily. The result? A platform where authenticity and privacy are paramount, allowing individuals to engage freely without fear of surveillance or censorship. Simplicity Meets Flexibility Nostr is built on a straightforward protocol that utilizes JSON for event objects and WebSocket connections for data transmission. This simplicity fosters software diversity, enabling developers to create various clients and applications that cater to different user needs. As a result, Nostr is not just another app; it's a flexible framework that can evolve with user demands. Nostr stands out as a beacon of hope for those seeking autonomy and privacy online. Its decentralized nature, combined with robust security features, positions it as a new challenger in the future of social networking. Are you ready to explore what Nostr has to offer? If you want to test nostr as a user, creator, developer or builder shoot me a DM, I'd love to connect. If you've read the whole post and haven't joined nostr yet, please try out Primal. It's a great nostr client for Android and IOS. I see you on the other side )

What is Nostr? Jack Dorsey explains it in just two minutes 👀 Nostr is revolutionizing the way we think about online communication and social networking. As an open protocol—short for "Notes and Other Stuff Transmitted by Relays"—it empowers users to share information in a decentralized manner, promoting freedom of expression and data security. Here are some key insights into why Nostr is gaining traction: A Response to Social Media Failures The current landscape of social media is fraught with issues—manipulative algorithms, intrusive ads, and rampant censorship. Nostr addresses these challenges head-on by offering an alternative that prioritizes user agency and transparency. It allows individuals to curate their experiences without being subjected to opaque corporate agendas. Decentralization at Its Core Nostr operates without a central authority, meaning there’s no single point of failure. This architecture not only enhances resilience against attacks but also ensures that users maintain control over their data. In a world where censorship is increasingly prevalent, Nostr’s structure allows for censorship-resistant communication, making it a compelling alternative to traditional social media platforms. User Empowerment through Cryptography At the heart of Nostr's functionality are cryptographic keys. Users generate unique "events" signed with their private keys, which are then broadcasted through independent relays. This not only secures communications but also enables users to verify their identities easily. The result? A platform where authenticity and privacy are paramount, allowing individuals to engage freely without fear of surveillance or censorship. Simplicity Meets Flexibility Nostr is built on a straightforward protocol that utilizes JSON for event objects and WebSocket connections for data transmission. This simplicity fosters software diversity, enabling developers to create various clients and applications that cater to different user needs. As a result, Nostr is not just another app; it's a flexible framework that can evolve with user demands. Nostr stands out as a beacon of hope for those seeking autonomy and privacy online. Its decentralized nature, combined with robust security features, positions it as a new challenger in the future of social networking. Are you ready to explore what Nostr has to offer? If you want to test nostr as a user, creator, developer or builder shoot me a DM, I'd love to connect. If you've read the whole post and haven't joined nostr yet, please try out Primal. It's a great nostr client for Android and IOS. I see you on the other side )

Pierre Corbin

18,456 Aufrufe • vor 1 Jahr

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Avi Patel

124,728 Aufrufe • vor 8 Monaten

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 Aufrufe • vor 9 Monaten