21 articles
Explore the profound relationship between humans and their digital counterparts. We dive deep into what AI assistants truly understand about our lives and why this invisible bond is the most important story of the decade.
We navigate the delicate balance of the modern age. Explore how AI brings unparalleled convenience to our homes and routines, and the invisible trade-offs we make in the name of a smarter life.
We reveal the mechanics of chatbot memory. Explore how your interactions are stored, who has access to them, and what it means for your digital legacy in the age of conversational AI.
A visionary journey into the invisible infrastructure of the modern world. We trace the path of a single heartbeat, a single click, and a single location to reveal the sprawling global network that maps our lives.
Exploring the ethical landscape of AI, including bias, data privacy, and the impact of AI on work and society.
AI is a window into your soul—and your company's data. How to stay secure and private while using AI integrations.
Your data, remembered forever. Learn how Large Language Models accidentally memorize and leak Personally Identifiable Information from their training sets.
Protecting the patient. Learn the critical security and privacy requirements for AI in healthcare, from HIPAA compliance to securing medical diagnostic models.
Security without a center. Explore the risks and defenses for decentralized AI marketplaces (like Bittensor) and Web3-integrated LLMs.
Why models shouldn't talk about their past. Explore the risks of personal data leaking from training sets and the 'over-memorization' problem in LLMs.
Is your data in there? Learn how attackers can determine if a specific record (like a medical file) was used to train a model, violating user privacy.
Reverse-engineering the training set. Learn how attackers work backwards from a model's outputs to reconstruct the sensitive images or text used in training.
Rules of the road. Learn how to build n8n workflows that comply with GDPR, HIPAA, and other privacy regulations by minimizing data storage and anonymizing sensitive info.
AI on your desktop. Learn why and how to run powerful models locally for total privacy and zero cost.
Protecting the Prompt. Understanding prompt injection attacks and data leakage risks in AI systems.
Protecting the user. How to handle Personally Identifiable Information (PII) and ensure your agent is GDPR/CCPA compliant.
An introduction to Local Large Language Models: performance, privacy, and the power of running AI on your own hardware.
The 'Triple Threat' of why local LLMs are winning. Understanding the economics and security of the Ollama ecosystem.
Trust but verify. Understanding the security boundaries of the Ollama server and how to protect your API.
Protecting the prompt. How to ensure sensitive user data like PII doesn't end up in your AI logs.
The ultimate privacy. How to install Ollama and your models on a machine with zero internet connection.