February 2026

A modern exploration of how AI reads, remembers, and reasons with a full breakdown of today’s leading models. There is a supermarket unlike any other. Its shelves stretch beyond what the eye can see, stocked with every word ever written, every pattern ever formed, every idea ever expressed. This is the AI supermarket and when you step inside, you need two things to make sense of it all: tokens and context. One is your currency. The other is your cart. […]

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Building a Fully Autonomous Multi-Agent Analytics System in Snowflake Enterprise analytics has historically been a human-driven process. A business stakeholder asks a question, an analyst interprets the intent, retrieves data, analyzes trends, and presents insights. Even as data platforms have become more powerful, the responsibility for reasoning has remained external to the system. The database stores information, but it does not understand questions, determine analytical steps, or generate conclusions. Snowflake can now host autonomous analytics agents that interpret […]

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The Cognitive Cost of Language Inequality in Artificial Intelligence In the architecture of large language models, the AI systems that power tools like Chat-GPT, Claude, Gemini, and others the language is not processed as words, sentences, or ideas. It is processed as tokens. A token is a fragment of text. In English, a single token is roughly equivalent to three-quarters of a word. Common words like “the,” “is,” and “and” are single tokens. Longer or rarer words may consume […]

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You’ve probably caught yourself copy-pasting the same instructions into AI chats over and over again: “Write in TypeScript,” “Don’t use third-party libraries,” “Add tests.” In programming, we would basically call this a violation of the DRY (Don’t Repeat Yourself) principle. So why do we keep doing it when working with neural networks? You’ve probably caught yourself copy-pasting the same instructions into AI chats over and over again: “Write in TypeScript,” “Don’t use third-party libraries,” “Add tests.” In programming, […]

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Top 5 AI Trends from Google and Why We’re All Becoming “AI Shepherds.” A 2026 Report Breakdown With My Experience In Google’s new “AI Agent Trends 2026” report, the term “LLM” moves into the background. The new main character is Agentic AI. I went through all 50 pages of the report so you don’t have to. In short: Link to the report Page 2–3 Spoiler: Google believes the era of “chatbots” is over. We’re entering the era of digital assembly lines, where […]

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