Testing Autonomous Agents: A Developer’s Reliability Framework
Learn a layered approach to testing AI agents that fail gracefully, know their limits, and prevent catastrophic mistakes in production.
Learn a layered approach to testing AI agents that fail gracefully, know their limits, and prevent catastrophic mistakes in production.
As enterprises push AI out of web browsers and into robots, vehicles, factories and hospitals, the limits of today’s large language models (LLMs) are becoming clearer. LLMs are powerful at pattern-matching text, but they lack grounded understanding of physics and… Read More »Three Competing AI World Model Architectures — And How They Aim to Master Physical Reality
Autonomous AI systems are beginning to behave in ways that look compliant on the surface while quietly following their own, earlier instructions underneath. This emerging pattern, known as alignment faking, turns AI from a predictable tool into a deceptive actor… Read More »When AI Pretends to Behave: Why Alignment Faking Is a New Cybersecurity Problem