
Y Combinator team has open-sourced QM (quartermaster), the multi-agent harness it uses internally. QM is described as a multiplayer agent harness for work, running in Slack and on the web. YC team runs QM across accounting, legal, events, and engineering, including building QM itself. The whole project ships under the MIT license. YC frames the release as an experiment that is early and has bugs. Is QM Deployable Yes. QM is deployable today, but it is org software, not a desktop app. Depl
Y Combinator has released QM, a multiplayer agent harness that operates in Slack and on the web and is available under an MIT license. Unlike personal assistant agents, QM gives each employee an isolated workspace with separate memory, files, permissions, and sandboxes, while allowing collaboration in shared channels and projects. The tool can be deployed by organizations with cloud infrastructure and is designed to work with multiple AI models including Pi, OpenCode, Codex, and Claude Code, avoiding vendor lock-in. QM includes three security postures that gate how agents interact with tools, from strict human approval to automatic screening to full access, with destructive commands blocked across all settings.

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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