Названо возможное решение ЦБ по ключевой ставке в марте

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We’re seeing a lot of volatility play out on these global markets … We won’t be immune from that. We’re not complacent about it, but we’re also really well placed in Australia to deal with what’s coming at us from around the world.

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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.

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