What AI actually is
The AI shelf, fully stocked. What a model is, which companies train them and which only rent them, the parts an AI product is assembled from, and an honest account of what the technology does today.
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What do the AI words on an engineering job description mean?
The one guide to the AI vocabulary: what a model is, who trains them, what companies build on top, and what the technology reliably does today.
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What is a large language model, and who makes GPT, Claude, and Gemini?
What a model is, what training means, how a large language model turns text into more text, and the labs behind the three names everyone knows.
Who are the AI companies, and what does each one sell?
The industry map: labs that train models, clouds that rent the computers, the chipmaker that sells the GPUs, open-weight models, and the application companies that build on rented models.
What is the difference between building AI and using AI?
The highest-leverage distinction in modern engineering hiring. It re-prices most AI requirements on the spot.
What are RAG, AI agents, evals, and MCP?
The technique map on the using side, each one ranked by how rare the skill is and what hiring it implies.
When a company says it is an "AI company", what did it actually build?
The product shapes AI ships in: a chatbot, a copilot feature inside an existing product, an agent that does a task end to end, a workflow with a model in the middle, and a wrapper around someone else’s model.
Is AI overhyped?
The honest state of the argument: what models reliably do, what hallucination is, what slop means, and why serious engineers land in both the enthusiast and the skeptic camp.