Stanford
Federal Statistics Need an AI Upgrade to Track Changes in Work
Federal statistical agencies need better data to measure how artificial intelligence is changing employment, wages, productivity and workplace tasks, according to the…
AI energy efficiency varies sharply by model, hardware and task
AI models that produce the most valuable work do not necessarily deliver the best return on energy, according to a study from researchers at Stanford, UC Berkeley and UT…
Joules-to-GDP: Smaller Gemma 4 31B beats GLM 5.2 on value per unit of energy
The AI model that produces the most valuable work is not always the best use of energy, according to Joules-to-GDP, a paper from researchers at Stanford, UC Berkeley and…
Researchers say a 10-year global pause on frontier AI training is feasible
A team of 26 researchers says an international, mutually verified pause of frontier AI training lasting at least 10 years is feasible. Their 200-page report, released on…