
The integration lets developers build AI agents using open-source models without relying on proprietary platforms or expensive commercial APIs.
Baseten, an AI infrastructure platform offering serverless AI and training services, is now available as a supported Inference Provider on the Hugging Face Hub. This integration allows developers to access a range of AI models through Baseten directly from Hugging Face's model pages and client software development kits. Users can choose to route requests through their own Baseten API keys or through Hugging Face, with billing handled accordingly by either Baseten or Hugging Face. The initial integration supports conversational and text-generation tasks, with support for additional model types planned for the future.

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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