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🚨BREAKING HermesWorld v1 is here HermesAgent + MMORPG = HermesWorld 🔥🔥 Real engine. Real worlds. Real combat. Everything we've built the AI NPCs, the agent integrations, the plugin systems all wiring into one game. Demo: ⚔️ attacking monsters 🌲 harvesting trees 🦘 jumping around 🏞️ exploring the starter zone...

338,481 views • 4 months ago •via X (Twitter)

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Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow Himanshu Kumar. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on Himanshu Kumar. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. Himanshu Kumar. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on Himanshu Kumar. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. Himanshu Kumar. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. Himanshu Kumar. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

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228,904 views • 4 months ago

JUST IN Elon Musk just dropped the hammer and is suing OpenAI and ChatGPT for straight up stealing everything from the original nonprofit mission he cofounded back in 2015 to keep AI safe for humanity all the way to the trade secrets and Grok level tech they have been swiping from ex xAI folks. Man this saga is straight fire and I love how it is unfolding because Elon is the ONLY dude with the balls the vision and the real skin in the game to actually make this right. Think about it OpenAI kicked off as this open source humanity first nonprofit that Elon poured his own millions into so AI would not turn into some greedy Big Tech monopoly. Then they completely flipped the script went full for profit locked it all down grabbed billions from Microsoft and turned benefit all of humanity into straight up benefit our shareholders and Sam Altman s empire. That aint innovation thats betrayal. Thats stealing a charity right in broad daylight. Elon saw it coming walked away clean built xAI from scratch to chase real truth and maximum curiosity instead of all the censorship and control crap. Now he is hauling them into court to hold their feet to the fire. While everybody else is bending the knee to the AI overlords Elons the one guy standing up for an open safe actually pro human future. Thats exactly why we need more Elons in this world not more Silicon Valley suits turning our whole future into their personal profit machine. The saga keeps rolling and Elons winning the long game. 🚀

ⁿᵉʷˢ Barron Trump 🇺🇸

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🔥 $KATA FAM! THIS IS HUGE!🔥🥳 The moment we’ve all been waiting for is finally here… Katana Inu Battle Royale is about to go LIVE. 🚀 PLAYABLE FULL GAME - 20th January! Our Battle Royale mode becomes playable for the first time. That is what the developers said. So hopefully, no delays! 😍 This will be a live test phase, and right after that, we’ll bring the game online for everyone to download and play right away! This isn’t just an update 👉 This is a massive milestone for $KATA ⚔️ WHAT HAPPENS AFTER THE TEST? Once the Battle Royale test is complete, we move fast. Now? 👉 WE’RE ALMOST READY.🔥 4 years of building, grinding, and perfecting 😍 We’ll start integrating our already developed Web3 infrastructure directly into the game, including: 🧠 Web3 Multichain Wallet in our Game 🎮 Player Progression UI UX 🖼️ NFT Purchasing in our Game $KATA burn activation, news coming soon! 🔥 And much more! 🚀 Most of this is already built... now it’s about clean structure, smooth integration, and solid testing! After that… 💰 PLAY-TO-EARN GOES LIVE FOR TESTING - TOGETHER WITH THE COMMUNITY 💎 $KATA TOKEN - WE’RE COOKING 👀🔥 With the game finally ready, unlocks real power: - Web3 gaming launchers - Gaming guilds onboarding - Play-to-Earn & Burn activation - In-game NFT skins & weapons - Play live with our Partners/collabs & more! Let's make $KATA great again! 🗺️ ROADMAP & MILESTONES (STRAIGHT TO THE POINT) The game will be ready now! We will just add more polishing to check every corner! Goal: Make the game GOOD and READY for everyone!😍 Here’s the current estimated roadmap we’re aiming to a better place that deserves! 🔥 JANUARY – FULL POWER MODE - General polishing across the entire game - Activate some new videos - Game/Server testing with all Modes - Server stress tests - Preparing for public access - Steam wishlist push & Epic Games - Improving animations, VFX, and sound FX - Integrating player progression into UI / UX - Pushing $KATA into the spotlight! 🔥 ⚡ FEBRUARY – SCALE & POLISH🚀 - Streamers start testing & mass gameplay sessions - Further polish across gameplay and visuals - Final player progression UI/UX integration - AI bots are fully ready inside the game - Bring the $KATA token more visibility into the Web3 community and Game Launchers with p2e. - Launch our first in-game NFT mint, fully integrated and playable directly inside the game ✍️Deliver on all our promises to holders! Allowing NFTs, including 3D characters and weapons, to finally come to life and be used in actual gameplay Focus on: - Visibility on $KATA & our Game - Real gameplay feedback - Steam wishlists & Getting Players for web3 🚀 MARCH – BOOST GAME READY - Final polishing complete - Public-ready version - Roll out $KATA utility and bring it to a much wider audience - Preparing for Steam / Epic Games launch - Streamers & communities fully activated🚀 Please wishlist Katana Inu on Steam: 📣 MARKETING & PLAYER GROWTH - Collaborations with streamers - $KATA into the focus for more holders - Coverage across multiple social platforms - Playing on different web3 game launchers to bring more players into Katana Inu! What comes next? After mid-March, we’ll share new updates and unveil the plan for the next 3 months! The reason for the delay was simple: Battle Royale is complex - and we refused to rush it. 🔥 DROP YOUR HYPE IN THE COMMENTS, FAM This is just the beginning of Katana Inu’s real journey. We’re giving our best for you, $KATA Fam! ❤️ LET’S BUILD. LET’S PLAY. LET’S WIN. ⚔️🐺🔥

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The FED’s Only Crypto Exchange Is Buying 15% Of One Altcoin The only crypto exchange the Federal Reserve let inside just bet its whole strategy on one altcoin. Everything we break down lives inside the community, link in bio, one dollar a month. Kraken is the first and only crypto native company in history to hold a Federal Reserve master account. That is direct access to the core payment system that moves money between every major bank in America, a door that was only open to traditional banks for 100 years. So when a company wired straight into the Fed makes a move, you pay attention. Here is the move. Kraken is in talks to buy 15 percent of Aave, the largest DeFi lending protocol in crypto, at a 385 million dollar valuation. The most fed connected player in the game is buying a piece of one specific coin. The question is why. Kraken already put more than 100 real stocks on chain through tokenized equities, with hundreds more coming. The SEC is clearing the path with its Project Crypto initiative, letting apps list tokenized securities directly and punching a hole in a 233 year old Wall Street monopoly. Picture it: you buy stocks on chain, then borrow against them instantly through DeFi, and the protocol built to do that at scale right now is Aave. So this is the bet. Stocks move on chain, and the lending that powers all of it runs through one coin. That is why Kraken is buying the coin before the rest of the world catches up. What it means for your money: this is what the start of institutional altcoin buying actually looks like. The most connected players position quietly, before it is obvious. The only real question is whether you see it before everyone else and act on it. Follow for the moves the news skips.

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STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today. Follow CyrilXBT for more elite resources that build real depth the moment they drop.

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54,956 views • 4 months ago

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EstateX

72,496 views • 9 months ago

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