Category: AI
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A few months ago, someone showed me an AI setup running entirely on his laptop. No browser tab, no account, no monthly subscription. He disconnected the Wi-Fi with the confidence usually reserved for magic tricks, asked it to summarise a contract, and waited. The laptop fan became emotionally involved. The answer arrived. It was decent—not…
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A developer I know used an AI coding assistant to add a download button to an internal dashboard. It created the button, connected the data and produced a neat CSV file in about ten minutes. Everyone was pleased until finance opened the file and noticed it included records from every customer, not only the account…
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For the first few years of the generative AI boom, the arrangement was simple. You asked a question. The AI answered. Then everyone went back to doing the actual work. Now AI systems are asking for access to calendars, files, email, browsers, databases and business tools. They do not merely want to suggest the next…
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An AI assistant can write a polished project update in seconds. Then you ask which project, what changed this week and who is waiting for the update. Suddenly the intelligence looks less useful. The information exists: a deadline in the calendar, numbers in a spreadsheet, a decision in Slack and a complaint in a support…
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A normal chatbot is easy to understand. You ask for a summary. It writes one. You ask for a better subject line. It gives you six, including at least one that sounds strangely excited. Then it waits. An AI agent is different because it tries to continue toward a goal. Ask it to prepare a…
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AI is usually presented as something weightless. A prompt goes into a box. Words appear. Somewhere, apparently, there is a cloud. The cloud has buildings. Inside those buildings are racks of computers drawing enormous amounts of electricity, producing heat and requiring cooling, networking, backup systems and actual land. The rapid growth of AI has made…