Нина Ташевская (Редактор отдела «Среда обитания»)
I dug in and got GitHub access to FNA’s Native AOT ports for Xbox and PS5 as well as some private channels in the FNA Discord. Knowing that there were other examples in the world of C# being run on consoles using Native AOT gave me some level of hope that just maybe this might be possible. However, there were still many unknowns and overall this was a huge risk. I presented my findings and asked for two weeks for the backend team to come up with a proof of concept. A valid proof of concept meant demonstrating that we could take some of our existing C# code and call it from the Unreal game client on all three platforms we needed to support.
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
该功能将率先在美国与韩国的 Galaxy S26 与 Pixel 10 系列上线，初期仅支持部分外卖、生鲜与网约车应用，还将随 OneUI 8.5 推送至更多三星设备。