Search
Coverage of Search in the Nexus archive.
- Windows 11 sucks slightly less now, thanks to a June update
The June update for Windows 11 introduces a low-latency profile, accelerates search functionality, and addresses hundreds of flaws. The update slightly improves the user experience by reducing some of the system's previous shortcomings.
- Rethinking Search as Code Generation
The article 'Rethinking Search as Code Generation' explores a novel approach to search by framing it as a code generation problem. It links to a research paper on Perplexity AI's website and a Hacker News discussion thread with 13 points and one comment.
- DuckDuckGo installs are up 30% as users reject being ‘force-fed’ Google’s AI Search
Google overhauled its Search feature at I/O 2026 by replacing blue links with AI agents, prompting user backlash. DuckDuckGo saw a 30% spike in app installs as users sought alternatives.
- Ask AI or just Google it? Google makes a big change to a little search box
Google is updating its minimalist homepage search interface with a significant design change. The update represents a major shift in how the search giant presents its core product, moving beyond the traditional simple search box.
- Google Search as you know it is over
Google is transforming its Search feature into an AI-powered experience with conversational answers and interactive interfaces, which may reduce traffic to publishers. This shift could significantly impact the way users interact with search results. The new experience will include autonomous agents and more engaging interfaces.
- 2 US service members reported missing in Morocco
Two U.S. service members are reported missing in Morocco during a military exercise. U.S. Africa Command confirmed the incident is under investigation with ongoing search efforts focused on the personnel and their families.
- Tencent's New Hy3 AI Model Is the Most Efficient Chinese LLM No One's Talking About
Tencent open-sourced its Hy3 AI model preview, which excels in coding agents, reasoning, and search despite being developed in under three months. The model is positioned as the most efficient Chinese large language model (LLM) currently available.