
Your next drive-thru order might be taken by a bot. And you might not even notice.
Fast-food chains are increasingly deploying artificial intelligence voice systems to take orders at drive-thru windows, with adoption growing from 4 percent of US locations in 2024 to 6 percent currently. Early AI drive-thru systems faced significant problems including lower accuracy and friendliness than human workers, difficulty understanding accents and dialects, and viral social media videos of ordering failures, causing some chains to initially abandon the technology. However, after years of refinement, major chains have resumed expansion of AI ordering systems, citing improvements in speed and efficiency, though some customers express concerns about losing human connection and some chains continue to prioritize human workers as part of their brand identity.

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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