Last year, I learned some surprising news. We would be pivoting from an always-online free-to-play live-service model to a buy-once premium model with no backend components and full offline support. Moreover, we would only have about 6 months to complete this. As the backend lead, this was a lot to take in. I knew this wasn't just a matter of turning the services off. Those services contained core gameplay logic that was never intended to run on the client. I took the rest of the day off and spent some time thinking through the difficult challenges ahead.
Most digital images intended for viewing are generally assumed to be in sRGB colour space, which is gamma-encoded. This means that a linear increase of value in colour space does not correspond to a linear increase in actual physical light intensity, instead following more of a curve. If we want to mathematically operate on colour values in a physically accurate way, we must first convert them to linear space by applying gamma decompression. After processing, gamma compression should be reapplied before display. The following C code demonstrates how to do so following the sRGB standard:
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Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00544-6
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.