Artificial intelligence has spent much of the past decade moving in one direction: bigger models, more parameters, larger data centers, and increasingly expensive computing infrastructure. The assumption behind this trajectory has been straightforward, larger models generally provide more capabilities, particularly for reasoning, coding, language understanding, and complex tasks. PrismML is challenging a different part of that assumption: that useful intelligence must remain computationally...

The global artificial intelligence race is entering a new phase. The first era of generative AI was dominated by a relatively straightforward question, which company could develop the most capable model? The next phase is becoming more complicated. Governments, enterprises, financial institutions, manufacturers, and other organizations increasingly need to determine not only what an AI system can do, but also who controls its infrastructure, data, models, deployment environment, and long-term...

Nvidia’s reported $12.9 billion acquisition of Hugging Face is about far more than buying a popular repository for artificial intelligence models. If completed, the transaction would represent a major strategic move by the world’s dominant AI accelerator company into the software, developer, model, and open-weight layers of the artificial intelligence ecosystem. The timing is particularly significant. AI development is entering a phase in which hardware suppliers, model developers, cloud...