מערכות אקולוגיות של מודלים פתוחים: יתרון סיני?

תקציר מקורי באנגליתNote: Voice-overs for paywalled posts are available for paid subscribes in podcast apps if you click on settings on Interconnects, then manage your description. Thanks for listening! Most of the compute to build a leading frontier model comes from R&D costs, rather than the compute to train the final, big model end-to-end. In an ecosystem like China, where all the leading players are open, this creates a potential meaningful advantage in cost structures that’ll let labs keep building longer than outside observers would expect. There are two recent pieces of research, one from Ai2 documenting the development of Olmo 3 and one from Epoch AI studying public documentation of costs from various frontier labs , that put the estimate of compute spent on R&D rather than the final model at ab