Why do different AI models keep giving the same creative answers? A NeurIPS Best Paper study shows open-ended responses collapse into a few dominant modes across models and even across repeated samples. Let's explore what that homogenization means for culture, and how to push for more diversity in practice.
Silicon Valley doesn't just shape the world, it rules it. The tech giants that call it home have amassed extraordinary influence over political and social structures, with decisions that ripple far beyond U.S. borders. Europe is caught in a bind: should it regulate, imitate, or innovate?
The benchmarks driving AI development have a fatal flaw: they reward performance over competence, eloquence over accuracy. Understanding this gap is the first step to building, and choosing, systems that actually work.
AI systems are suddenly capable of tasks they consistently failed at months ago. The secret isn't just about bigger models or more computing power. Behind the latest breakthroughs is a quiet revolution: companies have stopped training AI and started teaching it.
