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Micron's one-time Taiwan bonus rejected as union demands permanent profit-share formula

Micron offered Taiwan employees a one-time cash bonus of up to NT$1 million, plus guaranteed minimum compensation for direct labor staff equivalent to 35-68 months of basic salary, following a record-profit year driven by AI demand. The union at its Taoyuan plant rejected the deal within hours, saying it ignores their core demand: a permanent bonus formula tying 15% of operating profit to quarterly worker payouts instead of one-off checks.

AI health risks emerge as more urgent threat than superintelligence fears

While AI executives and researchers focus attention on speculative dangers from future superintelligent systems, current AI tools are already causing real harm to people's health and wellbeing. The debate over existential AI risk is overshadowing more immediate concerns about how deployed AI products affect users today.

Repair vs. replace: how rising memory prices are reshaping phone cost decisions

Rising memory chip prices driven by the AI boom are pushing up the cost of new smartphones, even as many flagship models already exceed $1,000. This is prompting consumers who damage their phones to weigh repair costs, often under a few hundred dollars, against the appeal of new features found only in devices like the Pixel 11 and iPhone 17.

Replit CEO Amjad Masad to speak at TechCrunch Disrupt 2026

Amjad Masad, CEO and co-founder of Replit, will appear on the Disrupt Stage at TechCrunch Disrupt 2026, held October 13-15 at San Francisco's Moscone West. He'll discuss the future of programming and how AI is letting more people turn ideas into software products.

Arizona State study probes what 'adaptability' really means for engineers

Samantha Brunhaver, an associate professor at Arizona State University, is leading an NSF-funded project examining how engineers develop adaptability on the job. Through interviews with managers, early-career employees, and undergraduates, she found that while adaptability is widely cited as essential, employers rarely define or teach it consistently, and its meaning shifts depending on the industry, from tool turnover in software to regulatory changes in aerospace or biomedical fields.

Historians draw parallels between AI investment boom and past speculative bubbles

An analysis compares today's AI investment surge to earlier historical booms, such as the early 1900s period of industrial optimism following the financial panics of 1873 and 1893. It argues that rapid technological expansion, whether driven by electricity, internal combustion, or now AI, tends to attract opportunists whose excesses eventually spread systemic risk throughout the broader market.