On the other hand, generative models should be useful when directly creating the artifact is hard for the user, but verifying the artifact is trivial. This could be the case for artifacts that require cross-referencing extremely specific information that is time consuming for a user to do, but once done, is trivial to check. It could also be the case for generative models integrated into formal verification systems with extremely reliable and highly automated verification, where no knowledge of the artifact being generated is necessary. But in general, it is unlikely to be the case for a novice in some domain trying to generate a complex artifact, since the user will not have the expertise to ensure the output meets requirements. This predicts there will still be a need for users of generative models to have domain expertise.
创业板增设包容性标准，相当于给一级市场提供了明确的预期指引。这将促使投资机构更敢于投早、投小，支持那些暂时不盈利但具备高成长性的消费创新企业。从长远看，此举将激发社会资本投资新消费领域的热情，形成产业创新与资本增值的良性循环。，更多细节参见新收录的资料
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Вторым фактором он назвал «мегаприбыли», которые в перспективе может получить Россия за счет скачка стоимости энергоресурсов.