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11 articles
This article explains the technical architecture and operational challenges of AI safety filters, using Anthropic's recent security incident as a case study to illustrate the critical importance of maintaining robust safety systems in large language models.
This article explores how large language models like ChatGPT can generate harmful content, including poison and bioweapon recipes, due to training data contamination and prompt engineering vulnerabilities.
Learn how to build a basic AI content filter using Python and Hugging Face Transformers, demonstrating the fundamental concepts behind AI safety measures used by companies like xAI.
This article explains how terrorist groups are exploiting AI chatbots to plan attacks and develop weapons, highlighting the limitations of current AI content filtering systems and the urgent need for stronger safeguards.
Discord admitted that an AI moderation bug wrongfully banned users for harmless images, affecting accounts since May and impacting an additional 200 users over the weekend before the issue was fixed.
OverDrive launches Libby, an AI-powered feature that filters and curates content for users while specifically filtering out AI-generated material. The move marks a significant step into the AI space for the company.
Learn to build a basic AI compliance checker that can detect and flag potentially problematic messages before they're sent to users, similar to ZeroDrift's service.
Learn how to set up a basic AI content safety environment using Python and popular libraries, including pattern matching and semantic analysis techniques.
Learn how to build a basic age verification system that mimics Roblox's new tiered account approach for child safety.
Learn to build a basic AI content filtering system that demonstrates how machine learning can be used for child safety, similar to concepts discussed in Trump's AI framework.
Learn what 'adult mode' means in AI systems, how it works, and why it's an important safety feature for platforms like ChatGPT.
