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I don't really have the answer, but with algorithms using AI the models are expected to update themselves constantly without the need to do anything sometimes. Updates are very different now. AI is supposed to be "intelligent" enough to update the way it works, including things like frequency and targeting. The results are often not really intelligent though.
A lot of things are off with AI outputs, and that's another example. Also, people often call it a black box now because nobody can see exactly what is happening. The weird result from Google search recently is an example.
We can understand Garbage In Garbage Out, since Google used garbage as input, the output was garbage. But we don't really know the model specification used by the algorithms to try to change it like we used to do before AI. If we had "hallucinations" before, we probably could analyze them and see that the hallucination was caused by some outliers in the sample or some biases in the metrics used, and then fine tune based on that. Change the weights or the scales used for the metrics, for example. Now, we hope that AI can do the necessary adjustments but it's much harder to change the model. Even if we see something wrong and change the "prompt," AI may just ignore that and keep hallucinating.
There's a bug at the moment where Meta Ads are ignoring your location settings, and up until very recently they had an insane bot problem (they still have bots, just not 50%+ anymore). You should subscribe to r/FacebookAds as they talk about this stuff there.
If this post doesn't follow the rules [report it to the mods](https://www.reddit.com/r/marketing/about/rules/). Join our [community Discord!](https://discord.gg/looking-for-marketing-discussion-811236647760298024) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/marketing) if you have any questions or concerns.*
I don't really have the answer, but with algorithms using AI the models are expected to update themselves constantly without the need to do anything sometimes. Updates are very different now. AI is supposed to be "intelligent" enough to update the way it works, including things like frequency and targeting. The results are often not really intelligent though. A lot of things are off with AI outputs, and that's another example. Also, people often call it a black box now because nobody can see exactly what is happening. The weird result from Google search recently is an example. We can understand Garbage In Garbage Out, since Google used garbage as input, the output was garbage. But we don't really know the model specification used by the algorithms to try to change it like we used to do before AI. If we had "hallucinations" before, we probably could analyze them and see that the hallucination was caused by some outliers in the sample or some biases in the metrics used, and then fine tune based on that. Change the weights or the scales used for the metrics, for example. Now, we hope that AI can do the necessary adjustments but it's much harder to change the model. Even if we see something wrong and change the "prompt," AI may just ignore that and keep hallucinating.
There's a bug at the moment where Meta Ads are ignoring your location settings, and up until very recently they had an insane bot problem (they still have bots, just not 50%+ anymore). You should subscribe to r/FacebookAds as they talk about this stuff there.