It feels like AI gets smarter the more you talk to it, but it does not actually learn anything new mid-conversation. This article lays out how training and inference differ, and why test-time compute became the AI industry's new buzzword in 2026, with data.
From GPT to Gemini to Claude, every major AI model in 2026 runs on the Transformer architecture Google published in 2017. This article covers how self-attention works and the line of variations from decoder-only models to MoE and Mamba hybrids.
Attention is the mechanism by which AI understands long text not by remembering every word equally, but by concentrating on the few words it needs right now. This article explains why cost grows as context gets longer, and how optimizations like GQA and MLA affect real-world response speed and pricing.
