🔥 5 AI terms you’ll hear everywhere in 2025 (explained simply):
1. Agentic AI
Think of this as AI with initiative. Instead of waiting for prompts, agentic systems plan, reason, and act toward goals. They chain tools, make decisions, and self-correct — like a junior teammate who actually gets stuff done.
2. LRM (Large Reasoning Model)
LLMs predict words. LRMs reason.
They’re trained not just to generate text but to think through problems step by step (math, logic, planning). It’s the shift from autocomplete → actual reasoning.
3. MCP (Model Context Protocol)
AI agents need to talk to apps, databases, and APIs. MCP is the emerging standard that makes this possible. Think of it as the “USB-C” for AI context sharing — plug & play across tools.
4. MoE (Mixture of Experts)
Instead of one giant model doing everything, MoE routes tasks to specialized experts inside the network. One handles language, another math, another vision. Result: more power, less compute. Efficiency meets scale.
5. ASI (Artificial Super Intelligence)
The holy grail (or doomsday, depending on your view). This is the hypothetical point when AI surpasses all human intelligence — not just in tasks, but in creativity, strategy, and problem-solving. We’re not there yet, but it frames the endgame.
💡 Why this matters:
AI is moving from “chatbots” → systems that reason, act, and integrate deeply with the real world.
If you understand these terms, you understand the direction AI is heading.
👉 Which of these excites you most — and which worries you most?
Until next time,
AD
Hi, I’m Andrew Duggan. After decades working with AI and building enterprise technology, I started Code Forward to help developers and entrepreneurs discover how AI can make coding smarter, faster, and more fun.