Today in AI — March 13, 2026

📖 2 min read

Your daily roundup of the biggest moves in artificial intelligence. Here’s what happened today.

🖥️ Perplexity Launches “Personal Computer” — A 24/7 AI Agent on Your Mac Mini

Perplexity just dropped the most ambitious consumer AI agent yet. Personal Computer turns a Mac mini into a persistent AI workstation where its Comet assistant runs continuously, accessing local files, apps, and sessions.

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You control it remotely from any device while the Mac handles execution locally. It connects to 20+ AI models and 400+ app integrations. A kill switch and activity logs keep things in check. This is the clearest signal yet that AI agents are moving from cloud demos to always-on local hardware.

🏛️ Anthropic Launches the Anthropic Institute — A Think Tank for AI Risks

Anthropic announced the Anthropic Institute, a new internal think tank merging its Frontier Red Team, Societal Impacts, and Economic Research units. Co-founder Jack Clark moves into the role of Head of Public Benefit to lead it.

The institute will study what happens to jobs, economies, and safety as AI scales — plus whether we can retain control. Anthropic is also opening a DC office and expanding its public policy team. The timing coincides with ongoing Pentagon procurement debates around AI companies.

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🗺️ Google Maps Gets a Gemini-Powered Overhaul

Google is rolling out a major Maps redesign driven by Gemini AI. Two new AI features are coming to the mapping service used by 2+ billion people worldwide.

Details are still emerging, but this is Google embedding its AI models deeper into products people actually use daily — not just chatbots and developer tools. Expect smarter route suggestions, contextual recommendations, and natural language navigation.

🔬 Google AI Introduces “Groundsource” — Turning News Into Structured Data

Google’s AI research team released Groundsource, a methodology using Gemini to extract structured historical data from unstructured news reports. The initial focus is rapid-onset natural disasters — turning scattered reporting into actionable datasets.

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This is a practical example of LLMs moving beyond chat into data infrastructure. If it scales, it could transform how organizations track and respond to global events in real time.

📊 Pew Research: 64% of U.S. Teens Now Use AI Chatbots

New Pew Research data shows nearly two-thirds of American teens ages 13-17 use AI chatbots. Over half use them for schoolwork, and 12% report getting emotional support from AI tools.

But trust remains low across all age groups — only about a quarter of Americans feel positive about AI’s impact, with 16-30% unsure. The gap between adoption and trust is one of the defining tensions in AI right now.


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