Tag
A concept for a privacy middleware that anonymizes sensitive data before sending to LLMs to protect privacy, with local placeholder mapping, seeking feedback on feasibility.
Meta AI on Facebook is building detailed profiles of children and families from historical posts, raising privacy concerns and prompting Meta to fix the issue after user complaints.
The article discusses the privacy risks of AI chatbots like ChatGPT, Claude, and Gemini, and highlights tools such as Confer that use encryption to protect user conversations, providing a guide on using AI while safeguarding personal data.
The article explores the trade-off between the benefits of AI memory for personalized assistance and the privacy risks of giving AI access to extensive personal data, questioning where individuals draw the line.
A user expresses concern about AI models like Claude potentially exposing personal data such as SSNs, and shares that they built Underdog, an on-device AI OS, to ensure 100% local privacy.
The article critiques the AI industry's lack of seriousness about slowing down, discussing recent events such as Nvidia's acquisition of Hugging Face, Meta's launch of the Muse AI agent, and reports on military contracts, while questioning the ethical implications.
This paper investigates membership inference in language models by using exact duplication counts from open pretraining corpora of OLMo-2 and Pythia, revealing that typical duplication levels show minimal exposure traces and that apparent membership signals are often confounded with factors like sentence fame.
A mother warns parents after Meta AI allegedly surfaced deleted photos and pieced together her location from social media posts, highlighting privacy risks.
This article explains how to run large language models locally on your own computer for benefits like offline access and privacy, covering hardware requirements and software options such as LM Studio.
PySyft, a tool for privacy-preserving AI collaboration, has reached 10K GitHub stars, marking a significant milestone in the project's development and recognition.
The article audits major AI providers like OpenAI and Anthropic, revealing that they train on user chats by default on consumer plans, with opt-out options often hidden in settings.
A former OpenAI posttraining researcher announces their new focus on building sovereign, user-owned AI models that adapt to individual goals and data, emphasizing privacy, control, and long-term personalization.
The article discusses how personal data is often used in AI training without consent, highlighting privacy concerns, and introduces a tool called 'Don’t Train Me' that automates opt-out requests to protect user data.
Proton CEO Andy Yen discusses the need for AI to coexist with privacy in an interview, highlighting Proton's privacy-focused AI chatbot Lumo and the dangers of corporate surveillance in tech.
This article provides a step-by-step guide on how to disable or avoid intrusive AI features in various software and devices, including Adobe products, Android, Apple devices, and browsers.
A discussion questioning whether major AI tools offer real privacy, noting that most rely on cloud servers, and asking if local or self-hosted models are a viable alternative.
An exploration of a strange prompt that causes Claude Opus 5 to hallucinate and reproduce content resembling leaked private chats between Anthropic users and employees, raising questions about training data and AI behavior.
Phoenix Grove announces Open Grove, a privacy-focused AI service that offers access to leading open source models on fully private infrastructure with zero training or telemetry, along with features like layered memory, voice, and easy data export.
A user describes how Google's AI overview can analyze Instagram profiles and find all interactions, raising privacy concerns about permanent online footprints.
OwnClip is a native macOS screen recorder that prioritizes privacy by using local AI processing.