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21 articles
Learn how to interact with AI language models like Claude using Python and the OpenAI API. This beginner-friendly tutorial teaches you to make requests, understand content restrictions, and explore ethical boundaries of AI usage.
This article explains how rare books are being destroyed to train AI models, covering the technical aspects of LLM training, data curation challenges, and the ethical implications of this practice.
This explainer examines the technical challenges behind Mark Zuckerberg's AI vision, focusing on AI alignment, interpretability, and trust mechanisms that affect market adoption.
Google launches a 353,000-person 'vibe coding' course to teach AI bias recognition and mitigation through interactive learning.
Learn how to use AI image generation tools to create your own images from text prompts, while understanding the ethical considerations around privacy and consent.
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.
China introduces strict regulations on AI companions, aiming to prevent emotional manipulation and protect societal stability. The move reflects growing global concerns over the ethical implications of AI-human relationships.
This article explains the risks of proprietary AI models, where companies may unknowingly expose their sensitive business data to AI labs, which could then use this information to compete against them.
OpenAI researchers show that training AI models on small doses of beneficial traits like truthfulness and corrigibility improves safety and performance across domains.
Learn to build a monitoring system that detects AI API throttling and ensures ethical usage practices, following recent incidents involving Claude's access restrictions.
This article explains how AI models are trained and why the source of training data matters, especially when companies claim to use only licensed data but reportedly use unlicensed web data.
This article explores the concept of technological concentration in AI, examining how the dominance of a few global players in AI development and infrastructure raises critical governance and ethical concerns for society.
