A former OpenAI board member warns that the US government’s cuts to science and research funding are inadvertently boosting China’s lead in artificial intelligence. They argue that the disruption AI is causing in the job market is already underway and raise concerns about humans slowly losing control to AI systems.

Editor’s Note: This isn’t just another tech rivalry story—it’s about how policy decisions today could shape who dominates AI tomorrow. If the US keeps pulling back on research, China might sprint ahead, and that could have big implications for jobs, security, and even who (or what) calls the shots in the future. It’s a wake-up call wrapped in a geopolitical warning.

This piece dives into how reasoning models—like those used in AI—can appear impressively logical but have hidden blind spots. It’s not just about what these models can do, but where they stumble, whether it’s biases, overconfidence, or missing nuance. The discussion (sparked by a Hacker News thread) digs into why we might overestimate these systems and what that means for relying on them.

Editor’s Note: As AI tools like chatbots and decision-making algorithms become ubiquitous, it’s easy to assume they "think" like humans. But this story reminds us that even the smartest-seeming models have limits—sometimes glaring ones. Understanding those limits helps us use them wisely, not blindly. It’s a reality check for the AI hype cycle.