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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... platforms. Here’s what it gives you: • 36+ toggleable map layers military bases, active conflicts, naval vessels, satellite fire detection, protests, infrastructure targets • 150+ live news feeds aggregated in one place • AI powered focal point detection that connects news spikes, military activity, protests and outages into one convergence zone • Country Instability Index with real time risk scores based on protest data, conflicts, displacement, outages and climate anomalies • Temporal anomaly detection like “military flights 3.2x normal for Thursday” using a 90 day rolling baseline • 8 live video streams including Bloomberg, Al Jazeera, Sky News, CNBC directly inside the dashboard • AI summarization runs locally through Ollama no API keys, no data leaving your machine • 4 variants from one codebase geopolitics, tech, finance and even a happy news version Runs as a native desktop app on macOS, Windows and Linux. This is AI powered OSINT, real time geopolitical monitoring, infrastructure tracking and news aggregation — all inside a unified situational awareness interface. Governments spend millions on tools like this. Now it’s 100% free and open source. The future of global intelligence is decentralized. #worldmonitor #usa #uae #iran #israelshow more

CryptoWala

38,272 subscribers

68,375 次观看 • 6 个月前 •via X (Twitter)

新闻政治教育科学技术

Anya Rossi• Live Now

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69 条评论

Jaydeep Kaila 的头像

Jaydeep Kaila6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

$UJ€€T V€₹M∆ 的头像

$UJ€€T V€₹M∆6 个月前

@eliehabib

CryptoWala 的头像

CryptoWala6 个月前

@eliehabib I loved this ..🔥🔥

salman 的头像

salman6 个月前

@eliehabib

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

salman 的头像

salman6 个月前

@eliehabib Cryptowalax

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Bittu 的头像

Bittu6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Early information 的头像

Early information6 个月前

@eliehabib crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

muhammad tariq iqbal 的头像

muhammad tariq iqbal6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Bear Bull 的头像

Bear Bull6 个月前

@eliehabib @cryptowalax

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

𝕾𝖆𝖖𝖎𝖇 ɯnɹʇɐzɐ 𓂆 ⚡ 的头像

𝕾𝖆𝖖𝖎𝖇 ɯnɹʇɐzɐ 𓂆 ⚡6 个月前

@eliehabib website link !??

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Nurul Choudhury 的头像

Nurul Choudhury6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

MD IMTIYAZ 的头像

MD IMTIYAZ6 个月前

@eliehabib Cryptowala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Rahul Talwar 的头像

Rahul Talwar6 个月前

@eliehabib Cryptowala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

anime word 的头像

anime word6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Raj Kumar 的头像

Raj Kumar6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Hasmatullah 的头像

Hasmatullah6 个月前

@eliehabib Crypto Wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

🇮🇳خ̾ا̾ن̾ ̾ا̾ی̾ر̾ا̾ن̾ی🇵🇸 的头像

🇮🇳خ̾ا̾ن̾ ̾ا̾ی̾ر̾ا̾ن̾ی🇵🇸6 个月前

@eliehabib Wow 😲 Great 😃👍🏻 job By Habib Love you

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Dilkhush yadav 的头像

Dilkhush yadav6 个月前

@eliehabib Crypto

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

prashant kumar 的头像

prashant kumar6 个月前

@eliehabib Cryptowala

Arzoo Rahman 🦈 的头像

Arzoo Rahman 🦈6 个月前

@eliehabib 👀

CryptoWala 的头像

CryptoWala6 个月前

@eliehabib Try its just amazing

Arzoo Rahman 🦈 的头像

Arzoo Rahman 🦈6 个月前

@eliehabib 🫡

shubhashish 的头像

shubhashish6 个月前

@eliehabib Love the live dashboards, but for my daily life, I built something simpler: Asia lit up on my Event Globe showing the Iran–U.S. conflict… plus AI chips, space news & sports, zero noise, zero scrolling. Personalized daily brief at

Ruler 的头像

Ruler6 个月前

@eliehabib @grok give me the link

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Maan 的头像

Maan6 个月前

@eliehabib isnt it dangerous? like.. With these the war parties can track and plan accordingly.. No one can win like that?

CryptoWala 的头像

CryptoWala6 个月前

@eliehabib U cant stop technology.. even govt cant thats the beauty … look at bitcoin straight threat to dollar

Maan 的头像

Maan6 个月前

@eliehabib Yeah. we cant.. its true

Mr. Ak 的头像

Mr. Ak6 个月前

@eliehabib Crypto Wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

JordanFx 的头像

JordanFx6 个月前

@eliehabib Cryptowala Thanks !

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

ShabdCafe 的头像

ShabdCafe6 个月前

@eliehabib App name : World Monitor

Kiran G 的头像

Kiran G6 个月前

@eliehabib Crypto wale

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Kamal Sharma 的头像

Kamal Sharma6 个月前

@eliehabib Cryptowala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

BabaGoud 的头像

BabaGoud6 个月前

@eliehabib CriptoWala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

RAHUL_0004 的头像

RAHUL_00046 个月前

@eliehabib Crypto Wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Biswarup Kabiraj 的头像

Biswarup Kabiraj6 个月前

@eliehabib Crypto Wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Balvir Amin 的头像

Balvir Amin6 个月前

@eliehabib Cryptowala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

Tarun Khanna 的头像

Tarun Khanna6 个月前

@eliehabib Crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

md aziz🇮🇳 的头像

md aziz🇮🇳6 个月前

@eliehabib Crypto

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

WAHID RAZA 的头像

WAHID RAZA6 个月前

@eliehabib crypto wala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

asif ali 的头像

asif ali6 个月前

@eliehabib Crytowala

CryptoWala 的头像

CryptoWala6 个月前

Hey! To install World Monitor locally: Clone the repo: Then run in your terminal: git clone cd worldmonitor npm install For local web version: npm install -g vercel vercel dev Then open: For native desktop (macOS / Windows / Linux): Install Rust first: Then run: npm run tauri dev Ollama for local AI summarization: Live demo:

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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.

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.

Ihtesham Ali

2,533,888 次观看 • 2 个月前

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.

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.

Kyronis

807,337 次观看 • 24 天前

🚀 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.

🚀 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.

Hồng Ngọc | Ruby💎

12,837 次观看 • 7 个月前

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.

CyrilXBT

37,120 次观看 • 4 个月前

GeoLibre v1.3.0 is here! 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 packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

GeoLibre v1.3.0 is here! 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 packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,657 次观看 • 3 个月前

Meet QoderWork — a desktop AI agent that doesn't just chat, it actually does your work. Evan leads the QoderWork product at Qoder, a Singapore-based AI company. Which is a new generalized agentic service that lets you: ++ Open files on your computer. ++ Analyze data. ++ Run code. ++ Automate multi-step workflows. ++ Deliver polished, ready-to-use results (e.g., complete PowerPoint decks, reports, or charts) directly to your desktop. QoderWork positions itself at this inflection point: it takes a task like “analyze this spreadsheet and build a board-ready presentation,” then handles the entire chain autonomously. Key takeaway: Trust and usefulness matter more than raw intelligence—agents must be powerful enough for real work while remaining reliable and transparent. I wanted to add some of my personal opinions after doing this rare interview. Everything runs locally on your own computer — your files never leave your machine. That’s a big deal for anyone handling sensitive business data. Everything runs locally on your own computer. And it's more advanced than other agentic services I've told you about. A great example of the global AI agent wave. I'm working on getting more interviews like this with entrepreneurs around the world bringing the AI age to your life and business. Try Qoder at

Meet QoderWork — a desktop AI agent that doesn't just chat, it actually does your work. Evan leads the QoderWork product at Qoder, a Singapore-based AI company. Which is a new generalized agentic service that lets you: ++ Open files on your computer. ++ Analyze data. ++ Run code. ++ Automate multi-step workflows. ++ Deliver polished, ready-to-use results (e.g., complete PowerPoint decks, reports, or charts) directly to your desktop. QoderWork positions itself at this inflection point: it takes a task like “analyze this spreadsheet and build a board-ready presentation,” then handles the entire chain autonomously. Key takeaway: Trust and usefulness matter more than raw intelligence—agents must be powerful enough for real work while remaining reliable and transparent. I wanted to add some of my personal opinions after doing this rare interview. Everything runs locally on your own computer — your files never leave your machine. That’s a big deal for anyone handling sensitive business data. Everything runs locally on your own computer. And it's more advanced than other agentic services I've told you about. A great example of the global AI agent wave. I'm working on getting more interviews like this with entrepreneurs around the world bringing the AI age to your life and business. Try Qoder at

Robert Scoble

11,527 次观看 • 5 个月前

$AISI BANK APP | A FIRST LOOK AT WHAT’S COMING Today, we’re giving you a sneak peek into the AISI Bank app, where banking, intelligence, and on-chain execution finally live in one place. AISI is not another “neo-bank with crypto branding.” It’s a full Web3 banking ecosystem, built app-first, with agentic AI at its core. What makes AISI different and why this matters: • Real Banking Infrastructure Accounts, payments, transfers, digital cards, built to be used daily, not just held. • Agentic AI Inside the App AI that doesn’t just analyze, it executes. Think commands like: “Analyze this project,” “Send funds,” “Set a reminder,” “Prepare a trade.” • DEX Access Without Friction From analysis to execution, without jumping between platforms or wallets. • Unified Dashboard Balances, transactions, rewards, staking, and activity, all visible in one clean interface. • Built for Speed, Clarity, and Control No clutter. No noise. Just structured decisions and real actions. This is the shift from ideas to implementation. From talking about the future, to launching it. The AISI app is entering its final phase. More reveals coming. Launch is getting close. Welcome to what Web3 banking was supposed to feel like. #BANKING | #AISI | #WEB3

$AISI BANK APP | A FIRST LOOK AT WHAT’S COMING Today, we’re giving you a sneak peek into the AISI Bank app, where banking, intelligence, and on-chain execution finally live in one place. AISI is not another “neo-bank with crypto branding.” It’s a full Web3 banking ecosystem, built app-first, with agentic AI at its core. What makes AISI different and why this matters: • Real Banking Infrastructure Accounts, payments, transfers, digital cards, built to be used daily, not just held. • Agentic AI Inside the App AI that doesn’t just analyze, it executes. Think commands like: “Analyze this project,” “Send funds,” “Set a reminder,” “Prepare a trade.” • DEX Access Without Friction From analysis to execution, without jumping between platforms or wallets. • Unified Dashboard Balances, transactions, rewards, staking, and activity, all visible in one clean interface. • Built for Speed, Clarity, and Control No clutter. No noise. Just structured decisions and real actions. This is the shift from ideas to implementation. From talking about the future, to launching it. The AISI app is entering its final phase. More reveals coming. Launch is getting close. Welcome to what Web3 banking was supposed to feel like. #BANKING | #AISI | #WEB3

AISI GROUP

12,348 次观看 • 7 个月前

🧠 OSINT Tool: Turn Threat Intelligence Into Instant Reports Most analysts monitor forums manually… but automation can surface leaks before you even start searching ⚡ When I’m doing OSINT or threat profiling, one of my favorite approaches is using platforms that visualize threat activity instead of just listing data 🌍 This tool shows a live global map of leaks and underground discussions in real time, which makes spotting patterns and hotspots much faster than scrolling forums manually 👀 It lets you: 📍 Track leak geography visually 🗂 Aggregate data from 300K+ forum logs 🤖 Generate AI-powered OSINT reports automatically For example, during a recon scenario, I needed to understand whether a target appeared in underground chatter. Instead of browsing multiple forums one by one, I used this platform and immediately saw posts linked to their domain, which gave me investigation leads within minutes. This is the kind of tool that saves hours and gives analysts a strategic advantage fast. Tool link: __________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course

🧠 OSINT Tool: Turn Threat Intelligence Into Instant Reports Most analysts monitor forums manually… but automation can surface leaks before you even start searching ⚡ When I’m doing OSINT or threat profiling, one of my favorite approaches is using platforms that visualize threat activity instead of just listing data 🌍 This tool shows a live global map of leaks and underground discussions in real time, which makes spotting patterns and hotspots much faster than scrolling forums manually 👀 It lets you: 📍 Track leak geography visually 🗂 Aggregate data from 300K+ forum logs 🤖 Generate AI-powered OSINT reports automatically For example, during a recon scenario, I needed to understand whether a target appeared in underground chatter. Instead of browsing multiple forums one by one, I used this platform and immediately saw posts linked to their domain, which gave me investigation leads within minutes. This is the kind of tool that saves hours and gives analysts a strategic advantage fast. Tool link: __________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course

CyberSudo

23,522 次观看 • 5 个月前

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

Hasan Toor

100,511 次观看 • 7 个月前

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.

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 次观看 • 1 年前

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: 🙌

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

17,336 次观看 • 3 个月前

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

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

21,040 次观看 • 3 个月前

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 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

20,932,195 次观看 • 3 个月前

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.

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 次观看 • 3 个月前

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

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

116,842 次观看 • 1 年前

💥 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

💥 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 次观看 • 1 年前

🚨 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

29,262 次观看 • 2 个月前

🚨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.

🚨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 次观看 • 6 个月前

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.

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

687,842 次观看 • 6 个月前

For science, AI sovereignty and physics-grounded reasoning are non-negotiable. But how can we teach a small LLM like Gemma-4-E4B physics? One way is to use Agent Skills, but this has so far been limited to closed frontier models. mistral․rs now implements Agent Skills natively: the first self-hosted inference engine that does this as part of the local inference substrate, where we can use small models to solve complex scientific and other tasks in a flexible and scalable way. We are in a period of uncertainty about frontier models - access, pricing, deprecation, abrupt restriction. The good news is that when the entire stack runs locally we can build AI that is entirely your own: You own the weights, the skills, the execution loop, the data - all of it runs on your hardware and is reproducible and durable. While virtually all local inference engines expose a model behind an OpenAI-compatible endpoint, everything agentic is then assembled around it by an external orchestrator that injects context, manages tools, mounts files, and brokers execution. mistral․rs is natively agentic and moves that machinery into the server itself, allowing us to build complex agentic workflows and run them locally, on open-source models. With this new feature you can now upload Agent Skills bundles to /v1/skills, reference them from Responses API requests by identity, and run them inside a native agentic loop with persistent Python sessions, figure capture, sandboxed shell execution, file inputs mounted directly into the working session; plug-and-play and completely compatible with your existing code/workflow. A model with a native skill substrate can act, observe consequences, and can modify what it is able to do. The skill is retained procedural capability of the system. Attached is a short video of all of it: skills, code execution, the full agentic loop carried by Gemma-4-E4B; running entirely on my MacBook Pro. You can install and run a server with this capability in two lines in your terminal, with any quantization you need. Nice work by the Google Gemma team Logan Kilpatrick Demis Hassabis and Eric Buehler with mistral․rs!

For science, AI sovereignty and physics-grounded reasoning are non-negotiable. But how can we teach a small LLM like Gemma-4-E4B physics? One way is to use Agent Skills, but this has so far been limited to closed frontier models. mistral․rs now implements Agent Skills natively: the first self-hosted inference engine that does this as part of the local inference substrate, where we can use small models to solve complex scientific and other tasks in a flexible and scalable way. We are in a period of uncertainty about frontier models - access, pricing, deprecation, abrupt restriction. The good news is that when the entire stack runs locally we can build AI that is entirely your own: You own the weights, the skills, the execution loop, the data - all of it runs on your hardware and is reproducible and durable. While virtually all local inference engines expose a model behind an OpenAI-compatible endpoint, everything agentic is then assembled around it by an external orchestrator that injects context, manages tools, mounts files, and brokers execution. mistral․rs is natively agentic and moves that machinery into the server itself, allowing us to build complex agentic workflows and run them locally, on open-source models. With this new feature you can now upload Agent Skills bundles to /v1/skills, reference them from Responses API requests by identity, and run them inside a native agentic loop with persistent Python sessions, figure capture, sandboxed shell execution, file inputs mounted directly into the working session; plug-and-play and completely compatible with your existing code/workflow. A model with a native skill substrate can act, observe consequences, and can modify what it is able to do. The skill is retained procedural capability of the system. Attached is a short video of all of it: skills, code execution, the full agentic loop carried by Gemma-4-E4B; running entirely on my MacBook Pro. You can install and run a server with this capability in two lines in your terminal, with any quantization you need. Nice work by the Google Gemma team Logan Kilpatrick Demis Hassabis and Eric Buehler with mistral․rs!

Markus J. Buehler

10,229 次观看 • 3 个月前