Specific news, not nearby news

When you ask Mu for recent news about a specific AI model or event, you want that model or event, not a pile of headlines about AI chip stocks, hiring rounds, or the latest crypto token built on a blockchain buzzword. Most news tools pull in whatever is loosely adjacent—broad market sentiment, generic software announcements, anything with the word “AI” in it—because more results looks better than careful ones. We think that is a broken bargain.

Mu now filters those categories explicitly. If your question is about the Google Gemini update, you will not also get the semiconductor analyst note, the startup funding round, or the general-purpose “AI transforms X” industry piece. The engine strips out results tagged as AI-chip finance, generic hiring, or crypto-token speculation when they are only tangentially related. The answer stays on the subject you asked about. When the search returns only older or thinner coverage, Mu leads with that caveat before listing the stories. No padding.

This is a trust decision, not a technical one. A tool that respects your attention does not inflate its answers with adjacent noise. It says what it knows, flags what it does not, and stops there. That is the restraint we aim for: a specific answer to a specific question, even when it means a shorter list.