Desk
Benchmarks, reviews, and analysis of AI software.
A new generation of browser-powered language models promises cheaper, private, and faster AI for everyday apps — and it’s forcing incumbents to rethink pricing and control.
A wave of AI tools that index your local data promises massive productivity gains. The trade-off: privacy, compliance, and a trust race that could reshape enterprise adoption.
Tiny models running offline are shifting power from cloud monopolies to laptops, sparking a privacy sprint, new business models, and a scramble at Big AI.
A new creator economy is building on user-made AI assistants — big opportunity, platform risk, and a likely reshaping of small software.
Local large language models are surging: faster responses, stronger privacy claims, and a developer ecosystem that could redraw winners in chips and software.
From startups to tech giants, AI coding tools are reshaping programming workflows—what this means for developers and the future of tech.
Gemini Spark signals a shift from chatbots to always-on AI tools that can manage tasks, emails, files, and workflows in the background.
On real production tasks, the gap between the best and the rest is wider than any vendor will admit.