
Meta expanded its AI coding offerings with a new agent that, it promises, can handle complex tasks with complex software.
Meta released Muse Code, a terminal coding agent currently available in beta that can handle complete software engineering tasks across large code bases, including planning changes, writing code, and validating results. The tool is powered by Meta's previously released coding model and uses parallel sub-agents to work on multiple tasks simultaneously without affecting the user's working copy. This release positions Meta more competitively with AI peers like OpenAI and Anthropic in the coding assistance space, with Meta's AI chief emphasizing cost-effectiveness as a key advantage. The move reflects Meta's broader effort to grow its AI presence beyond its advertising business and into the enterprise AI market.

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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