>This used to be true. Facebook has leaned heavily into marketing automation to allow ai to do constant multivariate testing and optimization without the advertiser necessarily even knowing what creatives and copy are being served.

That is what you said.

This was in response to my comment that Facebook's AI does not generate any ad copy.

By you saying "this used to be true" in response to my comment and the rest of your comment, it very much is saying that Facebook's AI is generating ad copies and displaying those ad copies.

And the advertiser knows that Facebook will serve one out of all the ad copies it has been given for the ad campaign. The only way that Facebook AI will serve a copy that the advertiser doesn't know about, is if it generates its own ad copy.

>Ya but the advertiser can literally give the AI thousands of inputs of copy and creative to choose from and the AI will optimize ads for the best performing.

Yes and no, it won't completely be able to optimize it. The larger the audience, the worse the click through rate will be per impression. A more targeted audience, the better the AI will perform.

>And even further, you can use 3rd party API's to generate ad copy for facebook ads, so an advertiser could absolutely create a campaign and have really very little idea what ad content is being served.

While true, this don't support what you were claiming before, which was that Facebook's AI generates the ad copy.

That is what the article says. Essentially the study authors used A/B testing. Which the AI algorithm that Facebook uses, determines which users to serve them to. But again, based on the choices that the advertiser sets out.

Nope, Facebook still does A/B testing. It doesn't have marketing automation to allow AI to do A/B testing and optimization via changing the ad copy without the advertiser's input.

Now it does use AI during the A/B testing to try and help figure out which ad copy will likely perform the best and try and push that ad copy over the others. But it does not create new ad copies.

>Nearly all ad placement is driven by machine learning algorithms

Yes and no. What the ad displays to a user is done through AB testing. As an advertiser, you can select what group you would like to target. You can have multiple different ads targeting different groups.

With the AB testing, you will typically find what ad has the best click through.

The machine learning comes in when serving the ad, by matching people to the target group selected by the advertiser. The machine learning will try to pick people from the target group that best fit the profit and are more likely to click through. It doesn't generate a new ad campaign for the advertiser to increase click through rates.

Probably a bit of both.

The 5000 series might also be a bit of a mess since it is going to likely be the first nvidia GPUs that use MCM. So it will have a lot of growing pains.

The issue with HBM is that the costs are way to expensive, hence why you typically only find them in enterprise grade GPUs.