AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability (opens in new tab)

arXiv:2601.19886v1 Announce Type: cross Abstract: The race for artificial intelligence (AI) dominance often prioritizes scale over efficiency. Hyper-scaling is the common industry approach: larger models, more data, and as many computational resources as possible. Using more resources is a simpler path to improved AI performance. Thus, efficiency has been de-emphasized. Consequently, the need for costly computational resources has marginalized academics and smaller companies. Simultaneously,...