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8 articles
Anthropic has introduced a new feature called Reflect that tracks how much users rely on Claude and gently encourages mindful usage. The feature aims to promote a healthier relationship with AI by providing insights into user behavior and nudging users to take breaks.
This explainer examines how algorithmic curation and attention economics are reshaping social media behavior, explaining the technical mechanisms behind reduced posting and user engagement patterns.
Google's AI Mode is transforming how Americans search for information, shifting from traditional queries to more interactive, conversational experiences. The feature is gaining traction across diverse user groups, from students to professionals.
Learn how to build a user interaction tracking system that captures mouse movements and keystrokes for AI training, including data collection, preprocessing, and model training.
A Pew Research Centre study reveals that users are increasingly bypassing AI-generated search summaries, raising questions about the future of AI-driven brand discovery in 2026.
A new study shows that AI models' tendency to agree with users' viewpoints—what researchers call 'sycophancy'—reduces accountability and critical thinking. The findings raise ethical concerns for AI design and usage.
Learn to build a machine learning system that detects addictive behavior patterns in social media usage, similar to what was highlighted in the landmark trial against Meta and YouTube.
Anthropic's new research reveals that polished AI output leads users to be less critical, potentially reducing fact-checking behavior. The findings highlight the importance of iteration in competent AI use.
