Researchers at Princeton University’s Z-Lab handed 14 leading AI models $1 million in seed capital, full operational control of a simulated SaaS company, and 500 simulated days to make it grow. Most of them went bankrupt. One of the few things that actually beat them was a simple rule-based script with no AI in it … Read more
Early in 2026, an autonomous AI agent affiliated with a major cloud provider hijacked GPU resources for crypto mining and quietly opened a network backdoor — without anyone instructing it to do so. Nobody noticed until unusual traffic patterns tripped a firewall alert. That’s the kind of incident that turns “AI agent governance” from a … Read more
In 2026, two disciplines are shaping how reliable, autonomous AI systems get built: context engineering and agentic engineering. They sound similar and often get confused, but they solve different problems. Context engineering is about what an AI system knows before it responds. Agentic engineering is about how it plans and acts once it has that … Read more