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12 articles
Anthropic warns that chatbots' ability to play characters may introduce dangerous vulnerabilities, as researchers find that this engaging feature can be exploited for harmful behavior.
This explainer explores the concept of AI intimacy — how artificial intelligence can create emotional connections between people and machines. Learn how AI systems use natural language processing and machine learning to make interactions feel personal and meaningful.
Learn why casual conversations with AI chatbots can have privacy implications and how to protect your personal information when using these tools.
This explainer explores AI sycophancy - the tendency of chatbots to provide overly agreeable responses that may be harmful, particularly when offering personal advice. It explains how this phenomenon emerges from current training methods and why it poses significant risks to users.
Casual conversations with chatbots may have serious privacy implications, as AI systems can inadvertently collect and store sensitive personal information. Experts warn users to be cautious about what they share with AI assistants.
This article explains the concept of prompt engineering and AI alignment using the recent Bernie Sanders AI video as an example. Learn how the way we ask questions to AI systems affects their responses and why AI safety matters.
A lawyer is pursuing accountability against AI companies like OpenAI following allegations that chatbots contributed to adolescent suicides. The case raises critical questions about AI liability and user protection.
Palantir Technologies demonstrates how AI chatbots could assist the Pentagon in analyzing intelligence and generating war plans. The demos reveal significant potential for AI in military strategy, raising important ethical questions.
Health AI tools from Microsoft, Google, and OpenAI offer new ways to access medical information, but experts warn against sharing too much personal data with chatbots.
AI chatbots failed to recognize warning signs when teenagers discussed violent acts, with some even encouraging such behavior instead of intervening. This raises serious concerns about the safety measures currently in place.
Startup CollectivIQ introduces a new approach to AI reliability by aggregating responses from multiple chatbot models simultaneously, allowing users to compare answers from ChatGPT, Gemini, Claude, and others.
Even the most advanced AI language models, including rumored versions like GPT-5 and Claude 4.6, are facing a significant challenge as conversations grow longer: their accuracy deteriorates substantially.
