// AI & ML

Source: Semafor

Academic integrity policies are failing at scale. Institutions have banned or restricted AI tools while their students openly use them anyway, creating a credibility gap between official rules and actual classroom practice. This isn’t a niche behavior among tech-savvy outliers; it’s become normalized across the student population. Colleges now face a choice: enforce unenforceable restrictions or redesign assessments around AI as an available tool rather than a violation. The question isn’t whether students will use AI, but whether institutions will adapt their pedagogy or continue operating under increasingly obsolete honor codes.

Source: Bloomberg

Alibaba’s three-model release culminating in Qwen3.6-Plus marks a strategic pivot away from open-source competition toward proprietary systems and vertical integration, particularly in agentic coding where enterprise lock-in matters most. The compressed timeline and emphasis on agent capability improvements suggest Alibaba is racing to capture developer mindshare before OpenAI’s agent products fully mature, betting that Chinese enterprises will prefer domestic, closed alternatives. Rather than chasing benchmarks, Alibaba is using release velocity and feature scarcity as competitive leverage, forcing customers to stay on its platform for the latest iteration.