
MacPaw is building a local version of its AI assistant Eney using Liquid AI's models.
An app developer has partnered with an AI company to build locally hosted AI models that run directly on devices rather than in the cloud. This matters because locally hosted models offer privacy and security benefits, and the developer plans to eventually make this technology available to other developers building apps for its subscription app store. The partnership includes developing an on-device inference system and a local memory system, with the goal of allowing users to run AI assistants offline. The app store is also preparing credit-based pricing plans where users can perform a certain number of AI operations based on credits they have.

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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