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🔍 Discover Solidus Ai Tech! 🤖 Explore: 🏭 What is Solidus Ai Tech? 👀 $AITECH explained! 🌟 Token Utilities 🔥 Burn Mechanism 🫂 DAO Governance 🌏 Real World Use Cases 🔬 Learn more at 📝 $AITECH WhitePaper:

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AITECH CLOUD NETWORK

453,168 subscribers

1,114,345 Aufrufe • vor 3 Jahren •via X (Twitter)

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11 Kommentare

Profilbild von hadota
hadotavor 3 Jahren

Can I join the Solidus Ai Tech community? 🤝🌐

Profilbild von AITECH
AITECHvor 3 Jahren

When we list you will be able to join 🚀

Profilbild von Stefan
Stefanvor 3 Jahren

The usefulness in the medical field seems very important to me through the ultra-fast interpretation of images with AI.⚡️The real world applicability of the project is endless.🤞

Profilbild von Abdoulaye Dida
Abdoulaye Didavor 3 Jahren

🚀🚀🚀🚀🧨🧨🧨🧨🧨🚀@AITECH

Profilbild von Killer Man🐐
Killer Man🐐vor 3 Jahren

Great

Profilbild von Starlight
Starlightvor 3 Jahren

This is huge! Glad to be one of the early birds on #SolidusAi. Tomorrow is the DDay 💪

Profilbild von vivi mayasari
vivi mayasarivor 3 Jahren

Let's explore the real-world use cases! 🌏🔎

Profilbild von Mpolat (꧁IP꧂)
Mpolat (꧁IP꧂)vor 3 Jahren

💥🔥💯

Profilbild von cavu🐐
cavu🐐vor 3 Jahren

LFG

Profilbild von Sam creep
Sam creepvor 3 Jahren

can i buy it now?

Profilbild von AITECH
AITECHvor 3 Jahren

Not yet when we list !!

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▶️ Solidus Ai Tech GPU Marketplace: First Look Video! 🌟 Introducing our GPU Marketplace preview! Access high-quality computing power economically from our cutting-edge HPC Data Center in Europe. Choose from a wide range of GPU options from global vendors with just a few clicks. 🔹Marketplace Offers: - Easy management of your resources - Choosing your GPU Instance - Customize your OS Template - Perpetual token burn using a portion of the profits on every transaction 🔸Benefits: - Part of AITECH Ecosystem - Economical and efficient - Streamlined processes - Reach a global audience - Maximize your returns - Deploy with a single click Solidus Ai Tech GPU Marketplace, ensures a swift, effortless, and cost-effective journey for both users and vendors. Our platform will provide seamless access to GPU power, real-time performance insights, and robust management tools. Join us to transform your computing experience.

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AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.
49:12

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.

Mario Nawfal

338,265 Aufrufe • vor 1 Jahr

This 1-hour Stanford lecture covers more about the tech inside Claude than most $1,000 AI bootcamps it answers the exact questions they'll ask you in an AI product or engineering interview: > why can Claude see images but only reply with text? > why does making the model "smarter" at reading make it better at generating output? > what is the "MoT" architecture that lets Claude learn vision without losing logic? > why is physical world interaction still the hardest problem to solve? the person who understands this framework doesn't just use Claude - they explain how it's built save this before your next interview
57:30

This 1-hour Stanford lecture covers more about the tech inside Claude than most $1,000 AI bootcamps it answers the exact questions they'll ask you in an AI product or engineering interview: > why can Claude see images but only reply with text? > why does making the model "smarter" at reading make it better at generating output? > what is the "MoT" architecture that lets Claude learn vision without losing logic? > why is physical world interaction still the hardest problem to solve? the person who understands this framework doesn't just use Claude - they explain how it's built save this before your next interview

Mr. Buzzoni

77,996 Aufrufe • vor 2 Monaten

LIVE NOW -- The Rise of AI Crypto Agents The collision between crypto and AI agents has officially begun. Joining us today is Matthew Stephensen, Research Partner Pantera Capital and author of “Crypto: Picks and Shovels for the AI Gold Rush”. We dive into the world of autonomous AI agents on blockchains, discuss the evolving role of agents, AI-driven market changes, and whether blockchain is the natural substrate for AI. Matt Stephenson sheds light on topics from agent liability and regulatory challenges to infrastructure value capture and the "picks and shovels" approach to investing in AI-driven crypto tech. Are AI agents on blockchains the obvious future? And how do scarcity and abundance interact in this new era? Join us as we tackle these questions and more, exploring what the future might hold at the intersection of AI, autonomy, and blockchain. ------------------------------------------------------------ Chapters: 0:00 Intro 5:34 Crypto x AI Narrative Shift 6:39 AI & Economic Agents Explained 11:50 $GOAT Memecoin Summary 23:15 Were AI Crypto Agents Obvious? 25:18 Luna AI Token & Terminal 29:41 Consequences? Is This Life? 33:27 Exciting Use Cases 40:27 Sam Altman Quote Importance 42:33 Wealth Generation Process & Blockspace 48:15 Programmable Money & Agent MEV 56:14 The #AI Agent & Memecoin Thesis 1:03:03 Government & Society Reaction Predictions 1:11:09 No Off Buttons?... 1:13:40 #DePin & AI 1:16:45 AI Agent Blockspace Demand 1:19:15 Closing & Disclaimers
1:21:01

LIVE NOW -- The Rise of AI Crypto Agents The collision between crypto and AI agents has officially begun. Joining us today is Matthew Stephensen, Research Partner Pantera Capital and author of “Crypto: Picks and Shovels for the AI Gold Rush”. We dive into the world of autonomous AI agents on blockchains, discuss the evolving role of agents, AI-driven market changes, and whether blockchain is the natural substrate for AI. Matt Stephenson sheds light on topics from agent liability and regulatory challenges to infrastructure value capture and the "picks and shovels" approach to investing in AI-driven crypto tech. Are AI agents on blockchains the obvious future? And how do scarcity and abundance interact in this new era? Join us as we tackle these questions and more, exploring what the future might hold at the intersection of AI, autonomy, and blockchain. ------------------------------------------------------------ Chapters: 0:00 Intro 5:34 Crypto x AI Narrative Shift 6:39 AI & Economic Agents Explained 11:50 $GOAT Memecoin Summary 23:15 Were AI Crypto Agents Obvious? 25:18 Luna AI Token & Terminal 29:41 Consequences? Is This Life? 33:27 Exciting Use Cases 40:27 Sam Altman Quote Importance 42:33 Wealth Generation Process & Blockspace 48:15 Programmable Money & Agent MEV 56:14 The #AI Agent & Memecoin Thesis 1:03:03 Government & Society Reaction Predictions 1:11:09 No Off Buttons?... 1:13:40 #DePin & AI 1:16:45 AI Agent Blockspace Demand 1:19:15 Closing & Disclaimers

Bankless

43,849 Aufrufe • vor 1 Jahr

Lightchain AI – Decentralized Inference Demo 🍂🥧 + Blockchain Rewards In this video, we showcase how Lightchain AI’s decentralized inference engine (AIVM + PoI + Federated Learning) runs a real-world prompt “What is the best way to make pumpkin pie for thanksgiving dinner?” 💰 Blockchain Rewards in Action This demo doesn’t just show inference — it shows how inference providers are rewarded for their work. The provider that processed this prompt was automatically rewarded on the Lightchain testnet. 🍁 Why It Matters Unlike centralized AI, Lightchain AI distributes inference across a global network of participants. Nodes earn blockchain rewards for providing compute, ensuring a trustless, transparent, and economically sustainable ecosystem. With pay-to-prompt mechanics and DAO governance, Lightchain AI creates a fair AI economy for all. 🌐 Learn more at-
1:37

Lightchain AI – Decentralized Inference Demo 🍂🥧 + Blockchain Rewards In this video, we showcase how Lightchain AI’s decentralized inference engine (AIVM + PoI + Federated Learning) runs a real-world prompt “What is the best way to make pumpkin pie for thanksgiving dinner?” 💰 Blockchain Rewards in Action This demo doesn’t just show inference — it shows how inference providers are rewarded for their work. The provider that processed this prompt was automatically rewarded on the Lightchain testnet. 🍁 Why It Matters Unlike centralized AI, Lightchain AI distributes inference across a global network of participants. Nodes earn blockchain rewards for providing compute, ensuring a trustless, transparent, and economically sustainable ecosystem. With pay-to-prompt mechanics and DAO governance, Lightchain AI creates a fair AI economy for all. 🌐 Learn more at-

Lightchain AI

18,665 Aufrufe • vor 11 Monaten