
A lot of content on LinkedIn might seem like AI slop, and now, you'll be able to report those posts. As part of a series of updates to reduce the volume of AI slop on the platform, LinkedIn is introducing an actual button that lets you flag a post as something that "Seems like AI slop." The new feature is part of a broader push to reduce the volume of apparent AI slop on the platform. AI detector Pangram recently found that 41 percent of longform LinkedIn posts were flagged as
LinkedIn has introduced a reporting button that allows users to flag posts they believe were written by artificial intelligence rather than humans. An AI detector found that 41 percent of longform posts on the platform were completely generated by AI, prompting the company to reduce such content. Along with the reporting button, LinkedIn is developing new classifiers to identify AI-generated or low-quality posts and plans to show users when others perceive their posts as inauthentic or heavily AI-reliant. The company is also removing a feature that used AI to enhance posts and replacing it with one that only proofreads without changing the writer's voice.

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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