5 AI stories that matter for your marketing today.

Meta turns brain scans into typed sentencesvia The Rundown AI

Meta introduced Brain2Qwerty v2, a non-invasive brain-scanning system that can read full words and sentences instead of single characters, achieving 61% average word accuracy compared to 8% for competing non-invasive systems. The system uses two AI models to read brain signals and add semantic meaning, with one volunteer reaching 78% accuracy, and Meta has open-sourced the code and dataset for both versions.

Cursor takes coding on the move with new iOS appvia The Rundown AI

Cursor launched an iPhone and iPad app that lets developers start agentic coding agents by voice or command and monitor them from anywhere, with live activity notifications on the lock screen when tasks complete or pull requests are ready. The mobile app reflects a shift in development workflows where coding becomes less about typing code and more about supervising AI agents.

Automate any manual task with Record & Replayvia The Rundown AI

OpenAI's Codex now supports a Record & Replay feature that lets users record themselves performing manual tasks and automatically convert them into reusable, automated skills. Users can then test, refine, and schedule these workflows to run repeatedly without manual intervention.

Anthropic clocks Claude's daily grindvia The Rundown AI

Anthropic published a research report measuring Claude's economic impact and real-world usage patterns. The report provides insights into how Claude is being used across different industries and tasks.

Advertisers Are Good at Getting Human Attention. Can They Stand Out to A.I.? – The New York Timesvia Google News

Advertisers face a new challenge as AI systems become major consumers of digital content, requiring them to craft messages that appeal to both human audiences and artificial intelligence algorithms. Traditional advertising techniques designed to capture human attention may not work effectively when AI systems are analyzing and filtering content. Companies must now consider how their ads will be interpreted by machine learning models that rank, recommend, and display content.

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