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OpenAI's enterprise chief is making a bold claim this week, arguing that business users stand to gain more from AI adoption than almost anyone else. It's a pitch aimed squarely at corporate decision-makers, and with enterprise contracts becoming OpenAI's most reliable revenue stream, the timing is no accident.
That enthusiasm, though, runs headlong into a concern gaining traction in research circles. A piece circulating through VentureBeat puts it plainly: AI systems are replacing the very human experts they depend on to catch mistakes and improve. If the specialists who can evaluate AI output are being automated away, the feedback loop that makes these models better starts to break down. It's a risk, the argument goes, that almost nobody in the industry is seriously modeling.
On a quieter but genuinely fascinating note, a researcher known for clear technical writing has published a deep dive into building a voltmeter clock — a timepiece that uses analog meter needles to display the hour and minute. It's a small project, but it represents something the tech world often forgets: that careful craftsmanship and curiosity about how things work still matter, with or without a neural network involved.
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