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🗞️ Medial Bulletin 🤖 AI & Automation • OpenAI launched Prism, an AI workspace to speed up research and collaboration. • Viral AI agent Clawdbot (now Moltbot) surged among developers, boosting automation while raising security concerns. 🇮🇳 Indi

Another crazy week on AI 🤯 1. OpenAI’s Sora video model was allegedly leaked. 2. RenderNet’s new Video Anyone feature lets you create character consistent videos. 3. Runway Expand Runner H AI agent 4. With Hume, now control a computer with voice

Here's a short breakdown of Perplexity's "AI Super Agent" technicalities: 1. Advanced LLM Core: Uses a blend of powerful LLMs (e.g., GPT-4o, Claude 3.5, Sonar) for reasoning. 2. Autonomous Workflows: Breaks down complex tasks into self-executing, m

9 Steps to Build AI Agents from Scratch. I've given a simple step by step explanation. 𝗦𝘁𝗲𝗽 1: 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵 𝗠𝗶𝘀𝘀𝗶𝗼𝗻 & 𝗥𝗼𝗹𝗲 • Decide what problem the agent will solve. • Figure out who will use it. • Plan how users will interact

Watch my latest video, "AI News and Updates Episode 2" on YouTube Channel "Xploring AI World". News Headlines: 1. OpenAI SORA First Impressions 2. Grok AI for Premium Subscribers 3. Google SGE recommending Malicious sites 4. Adobe announced Adobe

MCP is getting attention, but it’s just one piece of the puzzle If you’re developing Agentic AI systems, it’s crucial to understand more than just MCP. There are 5 key protocols shaping how AI agents communicate, collaborate, and scale intelligence

AWS just entered the AI coding tools arena with Kiro, an agentic IDE that goes beyond code suggestions and helps ship production-ready software. Here’s what makes Kiro different: Spec-driven development: It doesn’t just spit out code. it first buil

10 essential AI tools every startup founder needs: 1. ChatGPT / Claude – For brainstorming, content creation, and quick problem-solving. 2. Notion AI – Automates note-taking, summaries, and task organization. 3. Grammarly / QuillBot – Enhances em

Hands down the simplest explanation of AI agents using LLMs, memory, and tools. A user sends an input → the system (agent) builds a prompt and may call tools and memory-search (RAG) → agent decides and builds an answer → the answer is returned to th

Top 3 AI Models: But How Do They Differ? I’ve given a simple breakdown of each one. 🟩 𝗢𝗽𝗲𝗻𝗔𝗜 𝗚𝗣𝗧 GPT learns from massive datasets and human feedback to deliver accurate, logical, and well-balanced answers. 1. Collect diverse data → merge