AI KOLs managed by smart contracts, not greedy agencies. Revenue shared transparently with followers, not hidden in offshore accounts. #AegisAI is making influencer culture actually fair. Wild concept, right?

Agentic RAG Tech Stack

RAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector database. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by

If AI had to choose between serving 8 billion people fairly or making one company trillionaire-rich, which do you think it would pick right now? #AegisAI #AI #DeAI

8 Types of LLMs used in AI Agents (Must know for Gen AI Data Scientists & AI Engineers): Here's what they are and what they do: 🧵

I finally understand the difference between LLMs, RAG, and AI Agents. After two years of building production AI systems, I realized most people are treating them like competing tools when they’re actually three layers of the same intelligence stack. 1. The LLM is the brain.

Agentic AI Roadmap 📚📘 #ai #agents

Remember when banks told us "your money is safe, just trust us"? Then 2008 happened and Bitcoin was born. Now Big Tech says "our AI is unbiased, just trust us." Same energy. Same solution needed. Enter #AegisAI.

Sam talks about AI as a "foundational utility" for everyone, but when a handful of labs control that utility, who really decides what "broad, lasting benefit" means? #AegisAI

🚀 8 Types of AI Agents You Should Know AI agents are evolving beyond just text generation. Different architectures are being designed to specialize in reasoning, perception, action, and abstraction. Here’s a quick breakdown: 1️⃣ GPTs – general-purpose text generators, great

How to Learn AWS?

MEME tokens + AI market making + zero human manipulation = actually sustainable crypto projects #AegisAI makes this possible. No pump and dumps. No insider games. Just transparent, autonomous trading strategies anyone can verify.

Open source caught up on performance, but the real question remains: who owns the compute, who controls the data, and who decides what these models can or cannot do? #AegisAI

Explained well 👏

Verifiable AI is the future. Every AI creator deserves respect and protection. In an era of AI content proliferation, only verifiability can restore trust. What #AegisAI is building is making creators' contributions truly visible and recognized. #VerifiedAI

Every time you use #ChatGPT, you're training a model that belongs to someone else with your data. Wild how we normalized that so fast. #AegisAI

Not all AI agents are built the same. So what sets them apart? Here’s a breakdown of 10 core types of AI agents you’ll come across in real-world systems, from simple reactive agents to complex multi-agent systems. 1. Task-Specific AI Agent Built for one focused task like

The Agentic AI Universe on one page AI → ML → DL → GenAI → Agents, mapped clearly. [Bookmark for reference]

AI companies say they're building for humanity, but somehow humanity doesn't get a vote on what gets built or how it works. #AegisAI #ChatGPT