Initially I aimed to test with at least 10 formulas for each model for SAT/UNSAT, but it turned out to be more expensive than I expected, so I tested ~5 formulas for each case/model. First, I used the openrouter API to automate the process, but I experienced response stops in the middle due to long reasoning process, so I reverted to using the chat interface (I don't if this was a problem from the model provider or if it's an openrouter issue). For this reason I don't have standard outputs for each testing, but I linked to the output for each case I mentioned in results.
buffer[i] = (uint8_t)[arr getIndex:i];
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當她接到電話得知有子宮捐贈並且可以進行移植時，貝爾回憶說自己「完全震驚」，同時「非常興奮」。
Regional Map Dilemma: Users download individual countries or regions. CH usually requires processing the entire road network globally, which doesn't align with OsmAnd's flexible map management.
But the note cautioned against treating AI as an “immediate fiscal windfall.” Before productivity fully kicks in, governments face upfront costs that could strain budgets already burdened by post-pandemic debt. Government spending explicitly earmarked for AI remains modest—often only a fraction of a percent of GDP—but a sea of hidden costs could make the transition much more difficult for budgets to handle.