Students are using AI-powered smart glasses to cheat on tests, reports CNN. "And in East Asia's test-obsessed societies, where a single exam could impact the trajectory of a student's future career and social status, educators are scrambling to get ahead of the problem." Already, countries are stepping up inspections for test-takers. For China's grueling annual college entrance exam earlier this month — which more than 10 million hopefuls take each year — authorities required screening of all glasses. In the United Kingdom, the head of England's exam watchdog warned earlier this month that AI glasses and smart devices like earpieces could worsen cheating in exams... [T]wo incidents in South Korea were the country's first reported cases of cheating with AI glasses... In Taiwan, the university where a prospective student was caught cheating is now reviewing rules and standard operating procedures for AI eyewears during examinations. But experts worry these individual cases point to a more widespread issue. "If we're seeing a few cases being reported, we're seeing a lot more cases not being reported," said Thomas Corbin, lecturer at Deakin University in Australia, who has conducted research around the usage of AI-powered glasses and other smart devices in academic assessment. With the rapid development of AI technology, however, smart glasses are becoming slimmer, less noticeable, while integrating AI models that can operate independently with connectivity, raising concerns not only about exam integrity, but also about broader privacy risks... "Wearable AI is as much of a challenge to exams as ChatGPT was to essays in 2022 and I just don't think there is any real way that we can reliably have exam practices moving forward," Corbin said.

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"Enterprises may soon be paying as much for their developers' AI token usage as they do for their salaries," writes InfoWorld: According to Gartner, these costs will meet, or even exceed, the typical software engineer's monthly salary within the next two years. This is not only because developers are increasingly adopting generative AI and agentic tools, it reflects a trend toward consumption-based licensing models as vendors balance infrastructure investments with profitability... Gartner senior principal analyst Nitish Tyagi explained that it's important to note that Gartner's prediction is based on a global average salary of $2,000 per month; it doesn't mean AI token usage will exceed all salaries. For instance, in the US, yearly pay rates can be six digits or more. However, that kind of spend is not out of the realm of possibility, Tyagi emphasized. "I have heard scary numbers like 'My developer consumed $20K last month,' or 'A business user consumed $32K'." If these amounts sound shocking, that's the point. "The goal is to alarm the industry about the impact of token cost if it is not governed and controlled," he said... AI coding vendors have yet to deliver "mature, built-in cost optimization capabilities," Tyagi said, and prices will likely only continue to rise as vendors further build out their models while at the same time trying to remain profitable. Thus, enterprises struggle to forecast and control costs, and, because AI is moving so fast, many organizations lack the "maturity and frameworks" to determine ROI, he noted. Agent-driven workflows are difficult to govern, context windows become bloated, budgets are wiped out earlier than anticipated, and token spend becomes hard to justify.... "Without a governed engineering operating model, costs can escalate faster than the productivity gains these tools are designed to deliver," Tyagi said.

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