10 AI Concepts
Original source: 10-AI-Concepts
Video: https://www.youtube.com/watch?v=5DtjQrROUzY?start=108
Summary
- Video by Maddie (senior SWE, ex-Google, Amazon, IBM, Microsoft) listing 10 core AI concepts every software/AI engineer should know in 2026.
- Focus: From foundations (LLMs, tokens/context windows) to advanced (agents, RAG, MOE).
- Practical for building products, interviews, workflows.
- Sponsor: HubSpot’s “AI Agents Unleashed” playbook ($0): https://clickhubspot.com/a1052e
Key Quotes
Everyone is talking about AI but to actually build with it… you need to understand the core fundamentals of AI.
LLMs are the engine behind almost every AI product you’ll interact with in your career. So, if you’re a software engineer in 2026 and you don’t understand what an LLM is, it’s like being a web developer in 2010 who doesn’t know what an API is.
If you take one thing from this video for your career, let it be this. The engineers who master context engineering are the ones companies are really wanting to hire right now.
To sum up, the 10 AI concepts you need to know are LLMs, token and context windows, rag, fine-tuning, AI agents, MCP, context engineering, reasoning models, multimodal AI, and mixture of experts.
Key Entities
- Maddie
- HubSpot
- ChatGPT
- Claude
- Gemini
- OpenClaw
- Peter Steinberger
- Anthropic
- Agentic AI Foundation
- Linux Foundation
- OpenAI
- DeepSeek