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OPEN SOURCE JUST CHANGED GLOBAL INTELLIGENCE 🛰️ With everything happening between US and Iran, you can’t rely only on headlines anymore. Meet World Monitor by Elie Habib a real time global intelligence dashboard that anyone can run locally. This is basically a free, self hosted alternative to expensive OSINT...

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CryptoWala

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68,185 просмотров • 5 месяцев назад •via X (Twitter)

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Palantir sells governments a war room that costs millions a year. So, a guy named Elie just rebuilt it, put it on GitHub, and gave it away. It's called World Monitor. Open it and you get a live 3D globe with 500+ news feeds pouring in across 15 categories, all summarized by AI as they land. > Military movements. > Economic shocks. > Natural disasters. > Cyber incidents. > Flight paths. > Shipping lanes. + 56 different map layers you can stack on top of each other. It scores 31 countries on a stress index and updates the number as things happen. It watches 29 stock exchanges, commodities, and crypto in one panel. It runs local AI through Ollama, so you can use the whole thing without a single API key. Native desktop app for Windows, macOS, and Linux. 25 languages. Works out of the box after one clone.
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Palantir sells governments a war room that costs millions a year. So, a guy named Elie just rebuilt it, put it on GitHub, and gave it away. It's called World Monitor. Open it and you get a live 3D globe with 500+ news feeds pouring in across 15 categories, all summarized by AI as they land. > Military movements. > Economic shocks. > Natural disasters. > Cyber incidents. > Flight paths. > Shipping lanes. + 56 different map layers you can stack on top of each other. It scores 31 countries on a stress index and updates the number as things happen. It watches 29 stock exchanges, commodities, and crypto in one panel. It runs local AI through Ollama, so you can use the whole thing without a single API key. Native desktop app for Windows, macOS, and Linux. 25 languages. Works out of the box after one clone.

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🚀 Three Next-Gen AI & Web3 Projects Are Launching on Mindo AI A new chapter for community-powered intelligence, prediction markets, and open AI infrastructure The AI + Web3 landscape is entering a decisive phase — one where real usage, real revenue, and real ownership matter more than hype. Today, MindoAI is proud to welcome three groundbreaking projects that represent this shift clearly and powerfully: Perceptron Network Space DeepNode AI Each project tackles a different bottleneck in the AI economy — data, forecasting, and infrastructure — but they all share the same vision: decentralization, community ownership, and sustainable value creation. Let’s take a deeper look 👇 🧠 Perceptron Network The world’s first community-powered AI data engine Perceptron Network is redefining how AI data is sourced, validated, and delivered. Instead of relying on expensive, closed, and slow legacy data providers, Perceptron unlocks community-powered data pipelines that are: Faster Cheaper Revenue-generating from day one This isn’t experimental AI infrastructure — Perceptron already serves real clients with real revenue, proving that decentralized data engines can outperform traditional incumbents. Why Perceptron matters: AI models are only as good as their data Centralized data monopolies slow innovation Communities can produce higher-quality data at scale By aligning contributors, validators, and clients through incentives, Perceptron turns unused human and network potential into a living data engine for AI. Launching on Mindo AI gives Perceptron access to a broader AI-native community — accelerating adoption, partnerships, and ecosystem growth. 🌌 intodotspace The first 10× leveraged prediction market on Solana intodotspace is pushing the boundaries of on-chain prediction markets. Built by the $1.5B UFO team, this platform introduces: 10× leveraged predictions Ultra-fast execution on Solana Deep liquidity and composable market design The market’s confidence is already clear — the project completed a record-breaking raise that was oversubscribed by 1,360%. What makes intodotspace different: Leverage amplifies conviction, not noise On-chain transparency replaces opaque odds Markets become real-time intelligence engines Prediction markets are often called “truth machines.” intodotspace upgrades them into high-signal, high-efficiency forecasting layers — useful for traders, protocols, DAOs, and even AI systems that need probabilistic insights. Launching on positions intodotspace at the intersection of AI-driven decision-making and on-chain market intelligence. 🌐 DeepNode AI Infrastructure for open intelligence DeepNode AI is tackling one of the biggest problems in modern AI: centralized ownership. Today, AI is dominated by a handful of corporations. DeepNode flips that model by building open intelligence infrastructure where: Anyone can deploy AI models Builders earn directly from usage Intelligence is co-owned, not extracted Backed by leading validators, miners, and ecosystem builders, DeepNode transforms AI from a closed monopoly into a shared utility. DeepNode’s core philosophy: “Own what you build — or someone else will.” This is more than infrastructure. It’s an economic redesign of AI itself: Builders keep ownership Contributors share upside Networks replace platforms Launching on connects DeepNode to creators, researchers, and communities who believe intelligence should belong to everyone — not just Big Tech. 🤝 Why This Matters for With the launch of Perceptron Network, intodotspace, and DeepNode AI, #MindoAI is rapidly becoming: A hub for AI-native Web3 innovation A launchpad for real, revenue-backed projects A meeting point for data, markets, and intelligence infrastructure These three projects don’t compete — they complement each other: Perceptron supplies data intodotspace produces market intelligence DeepNode powers open AI execution Together, they form the backbone of a decentralized intelligence economy. 🔥 The future of AI is open, composable, and community-owned — and it’s launching now on Which of these projects are you most excited about? And how do you see decentralized intelligence reshaping the next AI cycle? 👇 Share your thoughts and join the conversation.
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Hasan Toor

100,511 просмотров • 6 месяцев назад

AI is changing sports. Here is how. I sit down with Max Sebti, , founder and CEO of Score, and he gives me the latest about how sports is changing due to AI. What will you learn from this interview? 1. How AI Is Transforming Sports Using computer vision to analyze every movement, event, and play in real-time. Moving beyond basic stats to understanding impact and intent on the field. 2. What Makes SCORE Different Built on decentralized AI (Bittensor) and collective intelligence. Designed to work even with low-quality video—enabling access for high schools and amateur clubs. 3. Real Use Cases Player tracking, formation analysis, injury prediction, and in-game decision support. Visual tools like heat maps and frame-by-frame breakdowns. 4. Applications Beyond Pro Teams Empowering grassroots teams and scouts with elite-level insights. Parents filming Sunday league games could unknowingly be training data sources. 5. Fantasy Sports Integration AI-powered projections and analysis for fantasy leagues. Build-your-own tools for fans who want a data edge. 6. Injury Risk Detection Early signals from movement patterns that correlate with higher injury potential. Long-term value for athlete health and coaching adjustments. 7. Preparing for the AR/3D Future Compatible with lightfield displays and AR glasses (think Vision Pro). Real-time stats layered over gameplay during broadcasts. 8. The Role of Betting in Driving Innovation How sportsbooks and gambling tech are quietly pushing AI in sports forward. Inside view on how that funding and data are transforming scouting and coaching. 9. Startup Insights Bootstrapping vs. raising capital in deep tech. Hiring elite AI talent without spending $10M+ like Meta—thanks to open systems like Bittensor. 10. The Bigger Vision Creating a universal scoring system for athletes—objective, data-rich, and fair. Challenging legacy scouting reports with measurable intelligence.
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AI is changing sports. Here is how. I sit down with Max Sebti, , founder and CEO of Score, and he gives me the latest about how sports is changing due to AI. What will you learn from this interview? 1. How AI Is Transforming Sports Using computer vision to analyze every movement, event, and play in real-time. Moving beyond basic stats to understanding impact and intent on the field. 2. What Makes SCORE Different Built on decentralized AI (Bittensor) and collective intelligence. Designed to work even with low-quality video—enabling access for high schools and amateur clubs. 3. Real Use Cases Player tracking, formation analysis, injury prediction, and in-game decision support. Visual tools like heat maps and frame-by-frame breakdowns. 4. Applications Beyond Pro Teams Empowering grassroots teams and scouts with elite-level insights. Parents filming Sunday league games could unknowingly be training data sources. 5. Fantasy Sports Integration AI-powered projections and analysis for fantasy leagues. Build-your-own tools for fans who want a data edge. 6. Injury Risk Detection Early signals from movement patterns that correlate with higher injury potential. Long-term value for athlete health and coaching adjustments. 7. Preparing for the AR/3D Future Compatible with lightfield displays and AR glasses (think Vision Pro). Real-time stats layered over gameplay during broadcasts. 8. The Role of Betting in Driving Innovation How sportsbooks and gambling tech are quietly pushing AI in sports forward. Inside view on how that funding and data are transforming scouting and coaching. 9. Startup Insights Bootstrapping vs. raising capital in deep tech. Hiring elite AI talent without spending $10M+ like Meta—thanks to open systems like Bittensor. 10. The Bigger Vision Creating a universal scoring system for athletes—objective, data-rich, and fair. Challenging legacy scouting reports with measurable intelligence.

Robert Scoble

65,908 просмотров • 1 год назад

One tab. The whole market. That’s Eon. How many browser tabs do you have open right now just to keep up with the market? One for prices, one for news, one for charts, a whale tracker you check sometimes, that economic calendar you keep forgetting about... 😵‍💫 Eon brings all of it into one place. And it adds something none of those tabs have: an AI that actually reads the data for you and tells you what it means. Let’s take a quick look at what's inside 👀 Type something like "Is Bitcoin bullish or bearish right now?" and Eon answers properly - market phase, price action, trend, momentum, the full picture. You don't have to decode the charts yourself. The Explore section (our favorite part) 🎯 - Technical Analysis - pick a coin and an indicator like RSI, MACD or moving averages, and the AI reads the chart and tells you what it's saying - Fundamental Analysis - supply, top holder concentration, on-chain activity, active addresses - Whale Tracking - watch the big money move in real time, with live alerts the moment a whale sends funds to an exchange - Token Unlocks - see exactly when locked tokens are about to hit the market, before it catches you off guard - Event & Economic Calendars - airdrops, mainnet launches, Fed rate decisions, all on one timeline - Live News Feed - the whole market's headlines in one scroll Your home dashboard? Market cap, Bitcoin price, the Fear & Greed Index and the latest market updates, all there the second you log in 🏡 And the best bit? On every page there's a little box that says "ask about this analysis." Any time you're not sure what something means, you just ask, and you get a straight answer 💪 This is what crypto research looks like when it's finally in one place. Come see for yourself: 🙌
1:57

One tab. The whole market. That’s Eon. How many browser tabs do you have open right now just to keep up with the market? One for prices, one for news, one for charts, a whale tracker you check sometimes, that economic calendar you keep forgetting about... 😵‍💫 Eon brings all of it into one place. And it adds something none of those tabs have: an AI that actually reads the data for you and tells you what it means. Let’s take a quick look at what's inside 👀 Type something like "Is Bitcoin bullish or bearish right now?" and Eon answers properly - market phase, price action, trend, momentum, the full picture. You don't have to decode the charts yourself. The Explore section (our favorite part) 🎯 - Technical Analysis - pick a coin and an indicator like RSI, MACD or moving averages, and the AI reads the chart and tells you what it's saying - Fundamental Analysis - supply, top holder concentration, on-chain activity, active addresses - Whale Tracking - watch the big money move in real time, with live alerts the moment a whale sends funds to an exchange - Token Unlocks - see exactly when locked tokens are about to hit the market, before it catches you off guard - Event & Economic Calendars - airdrops, mainnet launches, Fed rate decisions, all on one timeline - Live News Feed - the whole market's headlines in one scroll Your home dashboard? Market cap, Bitcoin price, the Fear & Greed Index and the latest market updates, all there the second you log in 🏡 And the best bit? On every page there's a little box that says "ask about this analysis." Any time you're not sure what something means, you just ask, and you get a straight answer 💪 This is what crypto research looks like when it's finally in one place. Come see for yourself: 🙌

Ozak AI

17,287 просмотров • 1 месяц назад

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.
1:39

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC

20,931,642 просмотров • 1 месяц назад

GeoLibre v1.1 is out! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre
0:55

GeoLibre v1.1 is out! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

20,833 просмотров • 1 месяц назад

How to run a real-time screen right now to find high-beta Power Semi plays with 10x potential. 👇 Everyone talks about AI replacing analysts. Very few people are talking about AI replacing the infrastructure behind analysts. Forecasting. Risk management. Position sizing. Market monitoring. Research. For years, these capabilities were locked inside hedge funds, prop shops, and quant firms. Now they're increasingly available to anyone. Instead of setting up a self-hosted agent on a VPS I used this: They gives you 200 free daily credits to run top models like Claude Opus 4.8 for this exact type of research. A 1-click desktop AI Agent that runs locally. No terminal, no coding required. I literally just typed: "Screen US tech stocks with P/E below 20, revenue growth >15%, and strong momentum" directly into their Stock Master Agent. Need a daily portfolio report? Done. It pushes pre-market and closing recaps automatically. Need a deep-dive on a stock? Done. Need strategy suggestions based on existing positions? Done. The technology gap between institutions and individuals is narrowing faster than ever. The advantage is no longer access. It's execution.
0:26

How to run a real-time screen right now to find high-beta Power Semi plays with 10x potential. 👇 Everyone talks about AI replacing analysts. Very few people are talking about AI replacing the infrastructure behind analysts. Forecasting. Risk management. Position sizing. Market monitoring. Research. For years, these capabilities were locked inside hedge funds, prop shops, and quant firms. Now they're increasingly available to anyone. Instead of setting up a self-hosted agent on a VPS I used this: They gives you 200 free daily credits to run top models like Claude Opus 4.8 for this exact type of research. A 1-click desktop AI Agent that runs locally. No terminal, no coding required. I literally just typed: "Screen US tech stocks with P/E below 20, revenue growth >15%, and strong momentum" directly into their Stock Master Agent. Need a daily portfolio report? Done. It pushes pre-market and closing recaps automatically. Need a deep-dive on a stock? Done. Need strategy suggestions based on existing positions? Done. The technology gap between institutions and individuals is narrowing faster than ever. The advantage is no longer access. It's execution.

MR ANDERSON

15,022 просмотров • 1 месяц назад

Worldcoin is a game-changer in crypto and Ai world!!! Let me get straight and tell you more about the World and their $WLD ecosystem They’re not just another project—they’re paving the way for mass adoption with some insane innovations Here's how 👇 World App: This isn’t your typical wallet. It’s crypto’s first super app! A non-custodial Ethereum wallet with Mini Apps, where you can manage assets, verify with World ID, and access third-party services—all from one place, securely. World ID: In an AI-dominated world, privacy matters. World ID is already the largest identity protocol, with millions of verified users across 160+ countries. Their biometric verification keeps your data private and protected. Worldchain: Just launched and already massive. Designed to scale with a global user base, it’s the largest layer-2 chain on day one, enabling secure, human-prioritized transactions and on-chain identity verification. Orb 2.0: Powered by NVIDIA, this next-gen biometric scanner is 5x faster and better at fraud detection. Real-time, privacy-preserving verification at its best! $WLD is redefining what’s possible in Web3 by solving real problems like deepfakes and digital fraud. Sam Altman and the team are pushing boundaries and making this space future-proof
0:26

Worldcoin is a game-changer in crypto and Ai world!!! Let me get straight and tell you more about the World and their $WLD ecosystem They’re not just another project—they’re paving the way for mass adoption with some insane innovations Here's how 👇 World App: This isn’t your typical wallet. It’s crypto’s first super app! A non-custodial Ethereum wallet with Mini Apps, where you can manage assets, verify with World ID, and access third-party services—all from one place, securely. World ID: In an AI-dominated world, privacy matters. World ID is already the largest identity protocol, with millions of verified users across 160+ countries. Their biometric verification keeps your data private and protected. Worldchain: Just launched and already massive. Designed to scale with a global user base, it’s the largest layer-2 chain on day one, enabling secure, human-prioritized transactions and on-chain identity verification. Orb 2.0: Powered by NVIDIA, this next-gen biometric scanner is 5x faster and better at fraud detection. Real-time, privacy-preserving verification at its best! $WLD is redefining what’s possible in Web3 by solving real problems like deepfakes and digital fraud. Sam Altman and the team are pushing boundaries and making this space future-proof

Lau

116,744 просмотров • 1 год назад

💥 The Future Is Now: Pay Your Bills with Pi Using PrimePi Pay 💥 Powered by Pi. Built for the People. In a world racing toward decentralization and digital empowerment, one question still echoes for everyday people: When will crypto solve real problems? That time is now — and the answer is Pi Network. Introducing a revolutionary leap in the Pi ecosystem: a bold new app that finally lets you pay your real-world bills using Pi Coin (𝛑) — securely, instantly, and without relying on banks or middlemen. Welcome to PrimePi Pay — the bridge between blockchain freedom and the real-world responsibilities we all carry. 🔑 Why PrimePi Pay Matters Too many people are still stuck in a financial system that limits access, adds fees, and delays payments. Meanwhile, millions of Pioneers around the world have been quietly building a new financial layer — one mined on trust, time, and vision. Now it’s time to activate that vision. With PrimePi Pay, you’ll be able to: •Pay electricity, phone, internet, rent, and more using Pi •Scan bills and verify payment details with built-in AI tools •Send Pi directly to official businesses or trusted local agents •Track every payment inside your Pi wallet — fully transparent and secure ⚡ Real Utility. Real Adoption. Real Pi. This isn’t about hype. It’s about empowerment. You don’t need to convert to fiat. You don’t need to wait on banks. You don’t need permission. All you need is your Pi — and now, it can take care of your life’s most essential needs. PrimePi Pay is proudly powered by Pi — the people’s digital currency. 🧠 Powered by GenAI. Built by Pioneers. Using GenAI and Pi-native tools like Pi App Studio and Firebase, PrimePi Pay was created by Pioneers, for Pioneers. It’s simple. It’s powerful. And it’s laser-focused on solving real-world financial problems. It’s more than an app — it’s a global movement. You can even participate as a Prime Agent, helping users in your community pay bills while building a reputation inside the Pi economy. 🚀 PrimePi Pay: Just the Beginning As Pi Network continues its Open Mainnet expansion, PrimePi Pay will unlock: •Partnerships with major billers and utility companies •Mobile top-ups and rent payments in emerging markets •Local-to-global remittances, powered by trust and decentralization And guess what? It all starts with you. Your Pi. Your bills. Your power. 💬 Final Word: “One day, you’ll stop asking what Pi is worth. Instead, you’ll ask what you can do with it.” – A Pioneer of the New Economy Let’s make history. Let’s pay bills with PrimePi Pay. Powered by Pi. Designed for a new world. 💜🔌📲 #PrimePiPay #PoweredByPi #PiNetwork #PayWithPi #DecentralizeLife Pi Network Nicolas Kokkalis Chengdiao Fan
1:59

💥 The Future Is Now: Pay Your Bills with Pi Using PrimePi Pay 💥 Powered by Pi. Built for the People. In a world racing toward decentralization and digital empowerment, one question still echoes for everyday people: When will crypto solve real problems? That time is now — and the answer is Pi Network. Introducing a revolutionary leap in the Pi ecosystem: a bold new app that finally lets you pay your real-world bills using Pi Coin (𝛑) — securely, instantly, and without relying on banks or middlemen. Welcome to PrimePi Pay — the bridge between blockchain freedom and the real-world responsibilities we all carry. 🔑 Why PrimePi Pay Matters Too many people are still stuck in a financial system that limits access, adds fees, and delays payments. Meanwhile, millions of Pioneers around the world have been quietly building a new financial layer — one mined on trust, time, and vision. Now it’s time to activate that vision. With PrimePi Pay, you’ll be able to: •Pay electricity, phone, internet, rent, and more using Pi •Scan bills and verify payment details with built-in AI tools •Send Pi directly to official businesses or trusted local agents •Track every payment inside your Pi wallet — fully transparent and secure ⚡ Real Utility. Real Adoption. Real Pi. This isn’t about hype. It’s about empowerment. You don’t need to convert to fiat. You don’t need to wait on banks. You don’t need permission. All you need is your Pi — and now, it can take care of your life’s most essential needs. PrimePi Pay is proudly powered by Pi — the people’s digital currency. 🧠 Powered by GenAI. Built by Pioneers. Using GenAI and Pi-native tools like Pi App Studio and Firebase, PrimePi Pay was created by Pioneers, for Pioneers. It’s simple. It’s powerful. And it’s laser-focused on solving real-world financial problems. It’s more than an app — it’s a global movement. You can even participate as a Prime Agent, helping users in your community pay bills while building a reputation inside the Pi economy. 🚀 PrimePi Pay: Just the Beginning As Pi Network continues its Open Mainnet expansion, PrimePi Pay will unlock: •Partnerships with major billers and utility companies •Mobile top-ups and rent payments in emerging markets •Local-to-global remittances, powered by trust and decentralization And guess what? It all starts with you. Your Pi. Your bills. Your power. 💬 Final Word: “One day, you’ll stop asking what Pi is worth. Instead, you’ll ask what you can do with it.” – A Pioneer of the New Economy Let’s make history. Let’s pay bills with PrimePi Pay. Powered by Pi. Designed for a new world. 💜🔌📲 #PrimePiPay #PoweredByPi #PiNetwork #PayWithPi #DecentralizeLife Pi Network Nicolas Kokkalis Chengdiao Fan

Mr Spock 𝛑

15,731 просмотров • 1 год назад

🚨 THE MOST IMPORTANT VIDEO YOU’LL WATCH TODAY AND IT’S ONLY 3.5 MINUTES LONG 🚨 What if I told you one company... Palantir (founded by Peter Thiel, with deep CIA roots) is already the invisible backbone of government surveillance across the US, UK, and Australia? This “Honest Government Ad” from The Juice Media doesn’t speculate. It simply connects the dots that are already public: - ICE contracts for tracking and enforcement - £900M+ UK deals spanning NHS patient data, Ministry of Defence, police, and intelligence - Australian Defence contracts Real-time data integration from phones, apps, supermarkets, and movement tracking - Thiel-linked networks discussing AI takeover, global power shifts, and “cult-building” (as reported in recent investigations) They call it “national security.” Critics call it the most sophisticated surveillance infrastructure ever built... one that turns your digital life into searchable, predictive intelligence. Here are the questions that actually matter: Would you be comfortable knowing an AI system owned by a private company has a live profile on you... your purchases, your location history, your associations; accessible to governments? Where is the line between “fighting crime/terrorism” and total population monitoring? If this technology already exists and is expanding rapidly in 2026, what happens in 3 years when it’s fully integrated with facial recognition, predictive policing, and AI decision making? Are you okay with this level of power concentrated in the hands of a handful of tech billionaires and the governments that contract them? Watch the full video now. Then answer honestly in the comments: YES - if this terrifies you and you want more people to see it. NO - if you think it’s necessary for security. MAYBE - if you’re still processing it. Tag 3 friends who need to see this. RT if you believe privacy is a human right, not a privilege governments can outsource. The future isn’t coming. It’s already here... and it has a name as long as we allow it to.
3:30

🚨 THE MOST IMPORTANT VIDEO YOU’LL WATCH TODAY AND IT’S ONLY 3.5 MINUTES LONG 🚨 What if I told you one company... Palantir (founded by Peter Thiel, with deep CIA roots) is already the invisible backbone of government surveillance across the US, UK, and Australia? This “Honest Government Ad” from The Juice Media doesn’t speculate. It simply connects the dots that are already public: - ICE contracts for tracking and enforcement - £900M+ UK deals spanning NHS patient data, Ministry of Defence, police, and intelligence - Australian Defence contracts Real-time data integration from phones, apps, supermarkets, and movement tracking - Thiel-linked networks discussing AI takeover, global power shifts, and “cult-building” (as reported in recent investigations) They call it “national security.” Critics call it the most sophisticated surveillance infrastructure ever built... one that turns your digital life into searchable, predictive intelligence. Here are the questions that actually matter: Would you be comfortable knowing an AI system owned by a private company has a live profile on you... your purchases, your location history, your associations; accessible to governments? Where is the line between “fighting crime/terrorism” and total population monitoring? If this technology already exists and is expanding rapidly in 2026, what happens in 3 years when it’s fully integrated with facial recognition, predictive policing, and AI decision making? Are you okay with this level of power concentrated in the hands of a handful of tech billionaires and the governments that contract them? Watch the full video now. Then answer honestly in the comments: YES - if this terrifies you and you want more people to see it. NO - if you think it’s necessary for security. MAYBE - if you’re still processing it. Tag 3 friends who need to see this. RT if you believe privacy is a human right, not a privilege governments can outsource. The future isn’t coming. It’s already here... and it has a name as long as we allow it to.

Noah B. Price

28,553 просмотров • 29 дней назад

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.
1:38

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.

Guri Singh

2,967,409 просмотров • 4 месяцев назад

Dario Amodei just dismantled the biggest myth in the AI industry. Open source AI isn’t free. It never was. Amodei: “It’s not free. You have to run it on inference and someone has to make it fast on inference.” For decades, open source meant something real. It meant a teenager in a basement could download the same tools as a Fortune 500 company. Could read the code. Could modify it. Could build something that competed with the giants. That was genuine democratization. That actually happened. AI is different. Fundamentally. Physically. In ways the ideology hasn’t caught up to yet. Downloading the weights is the easy part. The part that actually costs something is turning the weights into a running system. Into responses. Into intelligence operating in real time at scale. That requires compute. Power. Infrastructure. The kind measured in billions of dollars and years of construction. Amodei: “These are big models. They’re hard to do inference on. Ultimately you have to host it on the cloud. The people who host it on the cloud do inference.” The open source debate was never about who owns the model. It was always about who owns the cloud. And Amodei goes further. When a competitor drops a new open model, he doesn’t ask whether it’s open or closed. He doesn’t care about the licensing. He doesn’t engage the ideology. Amodei: “I don’t think it mattered that DeepSeek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That’s the only thing that I care about.” That’s the ruthless clarity of someone actually trying to win. While the media debates licensing frameworks, Amodei is asking one question. Is it better. Everything else is a distraction. Amodei: “I don’t think open source works the same way in AI that it has worked in other areas. Here we can’t see inside the model.” This isn’t Linux. You can’t read it. You can’t fork it. You can’t understand it the way generations of developers understood the tools they inherited. You can download it. And then you need a data center to run it. The teenager in the basement who was supposed to be empowered by this revolution needs a billion dollars of infrastructure before the empowerment starts. The era of the basement coder rewriting civilization on a laptop is over. The future belongs to whoever commands the compute, owns the power grid, and can actually turn the intelligence on. Open weights without infrastructure isn’t democratization. It’s a promise the physics of the universe won’t let us keep.
1:40

Dario Amodei just dismantled the biggest myth in the AI industry. Open source AI isn’t free. It never was. Amodei: “It’s not free. You have to run it on inference and someone has to make it fast on inference.” For decades, open source meant something real. It meant a teenager in a basement could download the same tools as a Fortune 500 company. Could read the code. Could modify it. Could build something that competed with the giants. That was genuine democratization. That actually happened. AI is different. Fundamentally. Physically. In ways the ideology hasn’t caught up to yet. Downloading the weights is the easy part. The part that actually costs something is turning the weights into a running system. Into responses. Into intelligence operating in real time at scale. That requires compute. Power. Infrastructure. The kind measured in billions of dollars and years of construction. Amodei: “These are big models. They’re hard to do inference on. Ultimately you have to host it on the cloud. The people who host it on the cloud do inference.” The open source debate was never about who owns the model. It was always about who owns the cloud. And Amodei goes further. When a competitor drops a new open model, he doesn’t ask whether it’s open or closed. He doesn’t care about the licensing. He doesn’t engage the ideology. Amodei: “I don’t think it mattered that DeepSeek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That’s the only thing that I care about.” That’s the ruthless clarity of someone actually trying to win. While the media debates licensing frameworks, Amodei is asking one question. Is it better. Everything else is a distraction. Amodei: “I don’t think open source works the same way in AI that it has worked in other areas. Here we can’t see inside the model.” This isn’t Linux. You can’t read it. You can’t fork it. You can’t understand it the way generations of developers understood the tools they inherited. You can download it. And then you need a data center to run it. The teenager in the basement who was supposed to be empowered by this revolution needs a billion dollars of infrastructure before the empowerment starts. The era of the basement coder rewriting civilization on a laptop is over. The future belongs to whoever commands the compute, owns the power grid, and can actually turn the intelligence on. Open weights without infrastructure isn’t democratization. It’s a promise the physics of the universe won’t let us keep.

Dustin

686,754 просмотров • 5 месяцев назад

I’m currently watching Raoul Pal's latest RV podcast on crypto in 2026, and the summary is 2026 is the year of AI He said "Barry Silbert is going to be right, and $TAO is gonna go up" I found it quite funny that most of the things and features they were talking about already exists on Bittensor They highlighted > data marketplaces > owning your data and selling it to models > AI integrated into trading, analytics, and decision-making > Claude-like models being plugged directly into products And said they haven’t really seen this done properly on a blockchain level yet That's the thing alot of people are missing Because the blockchain that’s already decentralizing intelligence and incentivizing it is Bittensor What they’re describing for 2026 already exists on TAO The only problem is how to go bigger and drive adoption > decentralized data and intelligence markets > open competition between models > real incentives for performance > AI systems that can plug into finance, research, prediction, and analytics Even the “Claude integration” they talked about? We already see dope models being used inside subnets, competing, evaluated, and rewarded openly. This is why the Bitcoin 2012 comparison keeps coming up Small builder community High signal Hard to understand No clear valuation framework yet But the difference this time is that the asset isn’t money It’s intelligence $TAO is still under $300, way cheaper than $ZEC right now Not holding TAO long term, while the world is clearly moving toward AI-native economies, is a dumb mistake at The question isn’t if intelligence becomes decentralized It’s who owns the rails when it does So far, only one network is actually building that Bittensor ($TAO)
1:00

I’m currently watching Raoul Pal's latest RV podcast on crypto in 2026, and the summary is 2026 is the year of AI He said "Barry Silbert is going to be right, and $TAO is gonna go up" I found it quite funny that most of the things and features they were talking about already exists on Bittensor They highlighted > data marketplaces > owning your data and selling it to models > AI integrated into trading, analytics, and decision-making > Claude-like models being plugged directly into products And said they haven’t really seen this done properly on a blockchain level yet That's the thing alot of people are missing Because the blockchain that’s already decentralizing intelligence and incentivizing it is Bittensor What they’re describing for 2026 already exists on TAO The only problem is how to go bigger and drive adoption > decentralized data and intelligence markets > open competition between models > real incentives for performance > AI systems that can plug into finance, research, prediction, and analytics Even the “Claude integration” they talked about? We already see dope models being used inside subnets, competing, evaluated, and rewarded openly. This is why the Bitcoin 2012 comparison keeps coming up Small builder community High signal Hard to understand No clear valuation framework yet But the difference this time is that the asset isn’t money It’s intelligence $TAO is still under $300, way cheaper than $ZEC right now Not holding TAO long term, while the world is clearly moving toward AI-native economies, is a dumb mistake at The question isn’t if intelligence becomes decentralized It’s who owns the rails when it does So far, only one network is actually building that Bittensor ($TAO)

Angry Davee

10,613 просмотров • 6 месяцев назад

Perplexity declared war on the biggest open source AI movement of 2026. This changes how millions of people will interact with AI agents forever. Here is what happened and why almost nobody is talking about the real implications. OpenClaw exploded in January and it became one of the fastest growing open source projects in GitHub history.​ The premise was radical. An AI agent that runs on your own machine, connects to your messaging apps and actually does things while you sleep.​ Developers went wild and over 700 community built skills appeared on ClawHub. People were negotiating car deals, filing legal rebuttals, and building entire social networks run by AI agents.​ Then Perplexity showed up with something different. A cloud powered system that coordinates 20 frontier AI models at once.​ They call it Perplexity Computer and this week they went even further.​ They announced Personal Computer. An always on AI agent that lives on a Mac mini in your home, connected to your local files and Perplexity's secure servers around the clock.​ It never sleeps or stops working and you control it from any device, anywhere.​ But the real story is what CEO Aravind Srinivas said during the Q&A session at their inaugural developer conference in San Francisco.​ He called Perplexity Computer a product "meant for serious people."​ He talked about Uber drivers asking him when they could stop driving and let AI make them passive income. That, he said, is the actual vision and then he went directly after OpenClaw. He said even a former Perplexity engineer struggled to get OpenClaw running on their own machine.​ He warned about unvetted malware being imported through OpenClaw's community skill hub, with no control over what people are contributing.​ He called the hobbyist approach of managing 700 API keys and sub agent configuration files a dead end for mainstream adoption.​ And four years of building world class orchestration gives Perplexity something an open source project cannot match. Enterprise grade security for solopreneurs and businesses alike.​ On one side, OpenClaw represents radical openness. Your data stays local, you choose your own models, you own everything and the community builds the tools. On the other hand, Perplexity is betting that most people don’t want to be system administrators. They want results, security guarantees, and something that just works out of the box. The Personal Computer runs on Perplexity's SOC 2 certified infrastructure. Every sensitive action requires user approval, every action is logged, and there is a kill switch. The enterprise version connects natively to Snowflake, Salesforce, HubSpot, and hundreds of other platforms. Teams can query data warehouses and build financial models without waiting on an analytics team.​ The real question is not which product is technically better. The real question is whether the future of AI agents looks like Linux or looks like the iPhone. Because the Uber driver Srinivas described is not going to configure sub agent routing tables. That person needs something that works the moment they open it. And if Perplexity captures that market, the open source movement becomes a niche for developers instead of a revolution for everyone. That is the billion dollar bet being made right now.
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Perplexity declared war on the biggest open source AI movement of 2026. This changes how millions of people will interact with AI agents forever. Here is what happened and why almost nobody is talking about the real implications. OpenClaw exploded in January and it became one of the fastest growing open source projects in GitHub history.​ The premise was radical. An AI agent that runs on your own machine, connects to your messaging apps and actually does things while you sleep.​ Developers went wild and over 700 community built skills appeared on ClawHub. People were negotiating car deals, filing legal rebuttals, and building entire social networks run by AI agents.​ Then Perplexity showed up with something different. A cloud powered system that coordinates 20 frontier AI models at once.​ They call it Perplexity Computer and this week they went even further.​ They announced Personal Computer. An always on AI agent that lives on a Mac mini in your home, connected to your local files and Perplexity's secure servers around the clock.​ It never sleeps or stops working and you control it from any device, anywhere.​ But the real story is what CEO Aravind Srinivas said during the Q&A session at their inaugural developer conference in San Francisco.​ He called Perplexity Computer a product "meant for serious people."​ He talked about Uber drivers asking him when they could stop driving and let AI make them passive income. That, he said, is the actual vision and then he went directly after OpenClaw. He said even a former Perplexity engineer struggled to get OpenClaw running on their own machine.​ He warned about unvetted malware being imported through OpenClaw's community skill hub, with no control over what people are contributing.​ He called the hobbyist approach of managing 700 API keys and sub agent configuration files a dead end for mainstream adoption.​ And four years of building world class orchestration gives Perplexity something an open source project cannot match. Enterprise grade security for solopreneurs and businesses alike.​ On one side, OpenClaw represents radical openness. Your data stays local, you choose your own models, you own everything and the community builds the tools. On the other hand, Perplexity is betting that most people don’t want to be system administrators. They want results, security guarantees, and something that just works out of the box. The Personal Computer runs on Perplexity's SOC 2 certified infrastructure. Every sensitive action requires user approval, every action is logged, and there is a kill switch. The enterprise version connects natively to Snowflake, Salesforce, HubSpot, and hundreds of other platforms. Teams can query data warehouses and build financial models without waiting on an analytics team.​ The real question is not which product is technically better. The real question is whether the future of AI agents looks like Linux or looks like the iPhone. Because the Uber driver Srinivas described is not going to configure sub agent routing tables. That person needs something that works the moment they open it. And if Perplexity captures that market, the open source movement becomes a niche for developers instead of a revolution for everyone. That is the billion dollar bet being made right now.

Milk Road AI

22,256 просмотров • 4 месяцев назад