The new literacy is telling machines what you mean скачать в хорошем качестве

The new literacy is telling machines what you mean

Article link: https://open.substack.com/pub/johanos... The article argues that the biggest barrier to getting value from large language models at work is rarely technical ability — it’s articulation. Many smart professionals struggle because they can’t clearly express what they want, provide the right context, or define what “good” looks like, so the model fills gaps with generic or flawed output. In that sense, the so-called AI skills gap is often a communication gap: the emerging literacy is the ability to translate intent into clear instructions and then apply human judgment to evaluate and refine what comes back. It also reframes “prompting” as ean veryday briefing, not a party trick. The best results come from structured thinking: goal, audience, constraints, format, examples, and success criteria — and that matters in every language, not only English. The practical takeaway is that organisations should treat prompt literacy like Excel literacy: train it, make it role-based, and standardise it as both a productivity unlock and a risk-control measure. For education and parenting, the warning is clear: if people outsource thinking rather than strengthen it, they will be less prepared for a future where the human job is judgement and accountability.