
This generation of twentysomethings is so disillusioned with swipe-based dating apps that they'll try literally anything else — even an AI matchmaker.
A new generation of dating apps aimed at Gen Z is replacing the swipe-based model with AI-powered matchmaking. These apps use artificial intelligence to match people based on the deeper personality traits revealed by their interests rather than surface-level hobbies, and then automatically schedule dates at set times and locations. Gen Z users have grown tired of endless swiping and messaging on traditional dating apps, creating demand for alternatives that reduce friction and emphasize genuine in-person connections. The approach has attracted significant investor interest and adoption among college students, though scaling safely while maintaining user verification remains a challenge.

Long-running agents accumulate state that no transcript captures. A coding agent at step 10 holds edited files, a running dev server, installed packages, and a warm prompt cache. When it misreads a traceback and rewrites a file that was already correct, neither available recovery path is cheap: patching forward grows the context and the token bill, and restarting from step one re-pays every model and tool call while reproducing nothing exactly, because runs are non-deterministic. Jumping back t

New AI toolbars and prompts are showing up in Google Docs and Gmail. If you don’t want Gemini’s help in writing documents and emails, here’s how to turn that stuff off.

In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane. Hurricane Melissa was catastrophic, causing flooding and landslid
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