The cost of migrating a whole team to a custom thing can be expensive and time consuming. I'm definitely talking about this from the perspective of smaller / solo teams. But that said, speaking from experience, I know several middle-sized studios moving to custom engines because they have determined the potential risk of using proprietary engines to be too high, and the migration and learning costs to be worth it. I think using custom stuff for larger teams is easier now than it has been in a long time.
Стало известно о брошенных на севере Украины наемниках ВСУ08:51
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Consider the energy crunch: Global data-center power demand will more than double by 2030, per the International Energy Agency, forcing upgrades to grids, water systems, and connectivity. China’s state grids are embarking on a 5 trillion yuan ($722 billion) expansion explicitly for AI and data centers that is equivalent to 4% of GDP, according to Moody’s. The Qatar Investment Authority has announced a project worth $20 billion (9% of the nation’s GDP), to develop AI data centers and computing infrastructure. And in Korea, despite AI-related spending only accounting for 0.4% of GDP, the country’s recently established sovereign wealth fund is almost exclusively targeted at high-tech industries including AI and chips, while planning to deploy a war chest worth 5.7% of GDP over the next five years.