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11 articles
The internet is facing a trust crisis as AI-generated content becomes increasingly prevalent in job applications, reviews, and insurance claims. Startups like Pangram are racing to develop detection tools to combat this trend.
This article explains how AI-generated books are flooding Amazon's platform, creating market imbalances that harm human authors and raise copyright concerns. It covers the technical mechanisms behind AI content creation and its economic implications.
Grandparents are gifting AI-generated children's books featuring their grandchildren, but these personalized stories often result in bizarre and incoherent narratives that frustrate parents.
Neill Blomkamp's new AI-generated sci-fi short <em>Nightborne</em> has drawn criticism for relying too heavily on technology at the expense of artistic depth. The film, produced by his new AI startup Barley Studios, showcases advanced AI modeling but fails to impress critics.
Substack introduces an AI detector to help readers identify content that may have been generated or assisted by artificial intelligence. The tool scans posts, notes, replies, and comments to estimate AI involvement in content creation.
This explainer explores the technical concepts behind AI-generated brand messaging and AI search optimization, examining why consumers react negatively to AI content while companies still rely on AI for search visibility.
OpenAI is enhancing AI-generated image detection by joining the C2PA standard and integrating Google's SynthID technology. These moves reflect growing industry efforts to combat misinformation and establish transparency in digital media.
OpenAI has adopted the C2PA standard and Google’s SynthID watermarking technology to help identify AI-generated images, enhancing transparency and accountability in AI use.
This article explains AI-generated content and how AI systems create art, using the recent controversy over an unsettling AI-generated portrait of Sam Altman as an example.
This article explains the EU's ban on fully AI-generated content in official communications and its implications for AI governance, transparency, and public trust.
This explainer explores how AI content farms use large language models to generate massive volumes of false information online, challenging traditional detection methods and threatening information integrity.
