
Agentic AI, simplified: • Agents are systems • Plan → Act → Reflect loops • Memory = compounding intelligence • Tools = real-world impact • Multi-agent > single-agent If it only chats, it’s not agentic. Via @ingliguori https://t.co/2AL7dV65DG

From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: https://t.co/Li37yAWx5U Via @ingliguori #AI2027 #FutureTech https://t.co/vNP0doWmJ7

How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk. 🤖⚡️ Where are you...
They SLICED OPEN a "human" on stage... and IT WALKED AWAY. XPENG's IRON robot just shattered the uncanny valley—silicone skin, fluid steps, zero humans inside. Sci-fi is NOW. But is this the future we want? Creepy genius or dystopian nightmare?...

LLMs predict tokens. LCMs reason in concepts. That’s the shift. Language-agnostic meaning → better abstraction, longer context, less repetition. If it works, this isn’t an upgrade. It’s a new cognitive layer for AI. https://t.co/KWSWMTFOZY
Humanoid robotics has split into two timelines: China → deploys, iterates, scales Others → demo, debate, delay The advantage isn’t better robots. It’s tighter AI + manufacturing + deployment loops. Real-world reps beat stage demos.

AI 2027 isn’t a forecast. It’s a fork in the road. • Agentic systems scale faster than oversight • Superhuman capability arrives before alignment • Power concentration is inevitable — governance isn’t • The risk is misaligned optimization, not “evil AI” The next 24 months matter...

Agentic AI isn’t smarter GenAI. It’s governed autonomy. GenAI → creates Agents → execute Agentic AI → coordinates, controls, and recovers That outer ring is where AI becomes production-ready. https://t.co/XZmbrKLKWj
🤖 Which AI Tool Should You Use — And When? Not all AI tools are built for the same job. Here’s a practical breakdown 👇 🧠Deep Reasoning & Logic Use DeepSeek → for multi-step reasoning, math-heavy logic, complex problem solving. 💬 Versatile Chatting &...

AI isn’t one thing — it’s a stack. Rules → ML → Neural Nets → Deep Learning → GenAI → Agentic AI Agents don’t replace the layers below. They orchestrate them. If GenAI answers, Agentic AI executes. https://t.co/O2k9LnSiHK
Agentic AI Explained: The Future of Autonomous AI Systems in Business & Technology 📽️ https://t.co/9GBCWdMbfw What if AI could set its own goals and make independent decisions — just like a human? Agentic AI represents the next evolution of artificial...

This is one of the cleanest visual summaries of a production-grade RAG (Retrieval-Augmented Generation) stack I’ve seen. What it highlights clearly is an often-ignored reality: RAG is not a single tool — it’s an ecosystem. A solid RAG system spans multiple, interchangeable layers: LLMs...

There’s no “best” AI. ChatGPT = generalist Gemini = Google-native workflows Claude = deep reasoning & long docs Grok = real-time social insight Perplexity = cited research Winners don’t pick one. They orchestrate all. https://t.co/NfuCg5sSyd

Best mental model for AI 👇 Traditional AI → predicts Generative AI → creates Agentic AI → executes The jump from GenAI to Agentic AI isn’t smarter text. It’s ownership of workflows. https://t.co/Nu5S6Gw5Rh

RAG isn’t “search + GPT”. It’s a control layer: • limits hallucinations • enforces evidence • defines what the model is allowed to know LLMs generate text. RAG defines truth. https://t.co/8qOd6YHSJA