Craig Federighi is spearheading a significant revamp of Siri by allowing engineers to use third-party large language models (LLMs) for feature development. This marks a shift from Apple’s previous reliance on in-house models, which often underperformed compared to competitors. Federighi’s vision is to create a smarter, more personalized Siri with deep integration into Apple’s ecosystem, emphasizing privacy-focused AI and incremental improvements over time[1][3][7].

US Education Secretary Linda McMahon mistakenly referred to AI as “A1” during a summit, likening it to a popular steak sauce. Despite correct initial usage, she repeated the error, sparking both humor and serious concerns about her qualifications in overseeing education policy[1][2][3].

AI Energy Consumption and the Future of Sustainable Data Centers AI.

AI-driven data centers are significantly increasing U.S. energy demand, driven by intense computational needs for tasks like AI model training. This surge poses infrastructure, cost, and environmental challenges, but innovative solutions like efficient hardware and renewable energy can mitigate these impacts.

Siri’s iOS 18 upgrade has been marred by technical failures and managerial issues. Promised AI features, such as seamless app integration, have been delayed potentially until 2026. Users report frequent bugs and unreliable performance, impacting consumer trust and iPhone sales in 2025. Apple must address these issues through rigorous testing and clear communication to regain its footing in the AI landscape.

Microsoft-Backed AI Startup Thinking Machines Lab Eyes $2B Funding Round Near.