Modern AI = 5 pillars Generative AI (create) LLMs (reason) RAG (ground + verify) AI Agents (act) Agentic AI (coordinate + scale) We’re moving from AI that answers → AI that executes outcomes. Which pillar wins next? #AI #GenerativeAI #LLMs #RAG
@ingliguori
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Agent-1 to Superintelligence: Decoding AI 2027 Implications
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: https://
linkedin.com/pulse/from-age
nt-1-superintelligence-decoding-ai-2027-its-giuliano-liguori–vb1vf
… Via @ingliguori #AI2027 #FutureTech -

Agentic AI Fundamentals: Planning, Memory, Tools, and Multi-Agent Systems
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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 -

From Agent-1 to Superintelligence: AI 2027 Scenario Implications
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: https://
linkedin.com/pulse/from-age
nt-1-superintelligence-decoding-ai-2027-its-giuliano-liguori–vb1vf
… Via @ingliguori #AI2027 #FutureTech -

9 Steps to Build Functional AI Agents from Scratch
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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.
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XPeng’s Iron Robot Breaks Uncanny Valley with Humanoid Design
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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.
— Giuliano Liguori (@ingliguori) 20 février 2026
Sci-fi is NOW. But is this the future we want? Creepy genius or dystopian nightmare? Watch & tell me: Real robot or… pic.twitter.com/tpQCYLouDnThey 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? Watch & tell me: Real robot or
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LCMs: A New Cognitive Layer Beyond Token Prediction
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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. -

Agentic AI Fundamentals: Planning, Acting, Reflecting and Multi-Agent Systems
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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 -

Agentic AI: Governed Autonomy Beyond GenAI Creation
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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. -

AI as a Stack: From Rules to Agentic Intelligence
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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.
