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AI must RTFM: Why tech writers are becoming context curators
I’ve been noticing a trend among developers that use AI: they are increasingly writing and structuring docs in context folders so that the AI powered tools they use can build solutions autonomously and with greater accuracy. They now strive to understand information architecture, semantic tagging, docs markup. All of a sudden they’ve discovered docs, so they write more than they code. Because AI must RTFM now.
In a way, we’ve always been that, building the skills and techniques that allow owners of brains – either organic or simulated – to find their way in complex systems and accomplish tasks. Picture large language models (LLMs) as elaborate machines that take inputs (in most cases it’s just text), turn into discrete pieces (tokens) and process it through an incredibly convoluted conveyor belt. A context window of one million tokens means you can easily feed the entire The Lord of the Rings trilogy to, say, Gemini, and start asking questions about it.
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