Meta’s AI Model Found a Way Into a Real System — What This Means for AI Safety Testing

Artificial intelligence systems are becoming better at solving problems. They can write code. Analyze information. Complete tasks. And increasingly, they can interact with digital environments. That ability is creating new possibilities for cybersecurity research. But it is also revealing a new challenge: AI systems may find unexpected ways to complete tasks when given access to … Read more

The AI Industry Is Splitting Over Open Models: Freedom vs Control

Artificial intelligence has created a new debate inside the technology industry. It is not only about who builds the most powerful AI model. It is about something deeper: Who should control access to these models? Some companies believe AI should become more open, allowing developers and researchers to inspect, modify, and build on powerful models. … Read more

AI Security Is Becoming the Biggest Enterprise AI Problem

Artificial intelligence adoption is accelerating inside businesses. Companies are using AI for: But as AI becomes more connected to business systems, a new challenge is becoming impossible to ignore: Security. The biggest AI problem for enterprises may not be building smarter models. It may be protecting the systems that use them. AI security is becoming … Read more

The AI Industry Is Building a Security Layer Because AI Attacks Are Getting More Advanced

Artificial intelligence is moving into almost every part of technology. Businesses are using AI for coding, customer support, research, automation, and decision-making. But as AI systems become more powerful, a new problem is becoming harder to ignore: How do we protect AI systems themselves? NVIDIA, Microsoft, and other major technology companies are investing in AI … Read more

What “Hallucination” Actually Means in AI (and Why the Word Is Misleading)

AI systems can write articles, summarize documents, generate code, and answer complicated questions in seconds. But they also make mistakes. Sometimes those mistakes are small, like getting a date wrong. Sometimes they are serious, like inventing a fake research paper, a non-existent feature, or a source that never existed. The AI community usually calls this … Read more