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At Brown University, a professor is sounding the alarm after discovering what appears to be mass AI-assisted cheating on an exam. The scale reportedly shocked faculty, and the incident is reigniting a sharp debate about whether higher education has the tools — or the will — to defend academic integrity in the age of large language models.
That tension between AI capability and human consequence carries into the workplace too. A growing conversation in tech circles is pushing back against the idea that companies should simply replace graduate hires with AI systems. The argument isn't sentimental — it's structural. Junior roles exist not just to produce output, but to develop the next generation of senior talent. Cutting that pipeline has long-term costs that spreadsheets rarely capture.
And across the Atlantic, the UK's troubled high-speed rail project HS two is back in the headlines, with the National Audit Office telling ministers to pause and reset until they are genuinely confident the project can be delivered. After years of spiraling costs and scope reductions, that's a striking intervention — and a reminder that megaprojects fail not in the ground, but in the planning room.
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