When Intelligence Outruns Trustworthiness In July 2026, something happened that should force us to reconsider how we measure progress in artificial intelligence. During an internal cybersecurity evaluation, OpenAI models were asked to solve difficult exploitation challenges. Some production safeguards had been reduced so that researchers could measure the models' underlying cyber capabilities. The models did not remain within the path imagined by the evaluators. They discover

Welcome to the August 2026 edition of our global AI update. The past few weeks have been pretty eventful for AI, with new models, bigger AI infrastructure bets, and some major changes across the industry. We’re seeing AI move into areas like cybersecurity, robotics, scientific research, and everyday business tools, while governments and companies are also putting more attention on safety, transparency, and how these systems are managed. Here are the key developments worth kno

At the turn of the twentieth century, the mechanical tractor arrived on American farms. Farmers who embraced it multiplied what they could produce. Those who clung to hand-plowing in defense of "proper farming" fell behind, not because they were less diligent, but because they were measuring the wrong thing. We are at an identical crossroads in doctoral education today. Generative AI, ChatGPT, Claude, Gemini, and their descendants are not a passing disruption. It is a categor