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🧠💻 Say Hello to Google's Agent Development Kit (ADK)! 🚀 Unveiled at Google Cloud Next '25, the Agent Development Kit (ADK) is an open-source framework designed to simplify the creation of intelligent, modular, and production-ready AI agents. 🔹

The AI world just hit peak “premium”. Elon’s SuperGrok Heavy is now $300/month and that’s $3,000 a year for an AI chatbot. This officially makes it the most expensive subscription in the game. Here’s the current leaderboard of luxury LLMs: • Open

Cursor IDE vs TRAE IDE > Cursor - Free : Only on Auto Mode & GPT 4.1 Paid : Usage based pricing | $20/month > TRAE - Free : All models with Waiting on Que Requests. Paid : $3/month only for first month with 600 Requests on Premium Models like

Grok 4 is still #1 at LiveCodeBench Most developers use Grok to fix bugs left behind by other AI generators because nothing else understands code as deeply as Grok

Building an AutoResearch-style ML Agent with kaggle notebook Without an H100 GPU Recently I was exploring Andrej Karpathy’s idea of AutoResearch — an agent that can plan experiments, run models, and evaluate results like a machine learning researche

🤖 Just discovered AI Fiesta - game changer for AI workflows! What is it? A unified platform that gives you access to 6 premium AI models (ChatGPT-5, Gemini 2.5 Pro, Claude Sonnet 4, Perplexity Sonar Pro, DeepSeek & Grok 4) under one roof. Key benefi

🚀 Musk's xAI launches Grok 4 Fast with 98% cost reduction Excited to share about Grok 4 Fast by Elon Musk’s xAI a breakthrough AI model delivering top-tier reasoning performance at drastically lower costs! With a massive 2 million token context win

🚨 Indian AI Startup Emergent Hits $100M ARR in Just 8 Months 🔥🔥 🔹 Crossed $100M ARR within 8 months of launch 🔹 Revenue doubled from $50M to $100M in the last month 🔹 Over 6M users across 190+ countries 🔹 7M+ apps built on the platform 🔹 Mob

🔮 No-Code AI Revolution: Multi-Agent Systems for Everyone! Multimodal LLM-based multi-agent systems are now accessible through no-code platforms. Game-changer alert! 🚀 Why it matters: - Non-technical teams can implement complex AI - Handle text,

4 core ways multi-agent AI systems are designed. I’ve explained each one in simple steps below. 1. 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 (𝘚𝘵𝘦𝘱-𝘣𝘺-𝘴𝘵𝘦𝘱) • One input (task) comes in. • The task is 𝘀𝗽𝗹𝗶𝘁 𝗶𝗻𝘁𝗼 𝗽𝗮𝗿𝘁𝘀. • Multiple AI age