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.
01 告别随机生成，精准拿捏你的创作思路：Seedance 2.0的可控性优势明显Seedance 2.0的核心竞争力，并非单一技术的点状突破，而是一套以“导演意图”为中心、协同工作的架构设计。创作者终于有机会从“祈祷AI能听懂”的被动角色，转变为手握控制台的导演。
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