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Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
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An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.
В Финляндии предупредили об опасном шаге ЕС против России09:28
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Provides a large set of templates where you can input the data and the AI will generate Templates with around 10 or more options to make it easy for the user to choose.