Okay, but if it matches the illustration on the storefront, can it really be called a scam?
We have also received a number of shirts where AI has been used to create unlicensed NFL shirts and other such actual frauds. And whatever your feeling about IP laws, it was definitely low quality stuff... looked good if you just glanced at it but when you went to look at any particular detail of the shirt it was AI garbage. (I say "AI garbage" precisely because not all stuff from AI is necessarily garbage... but this was.)
Sigh. I learned from my pre-boomer parents that if the product were any good it wouldn't need to be advertised.
> looked good if you just glanced at it but when you went to look at any particular detail of the shirt it was AI garbage.
To be fair, that was also all over the place before "AI" as currently understood. (And I don't think that previous iterations of machine learning techniques were involved.)
It's 100% possible. It might not be profitable
An app store doesn't have the "The optimum amount of fraud is not zero" problem. Preventing fraudulent apps is not a probability problem, you can actually continuously improve your capability without also blocking "good" apps accidentally.
Meanwhile, apple regularly stymies developers trying to release updates to already working and used by many apps for random things.
And despite that, they let through clear and obvious scams like a "Lastpass" app not made by Lastpass. That's just unacceptable. Anything with a trademark should never be possible to get a scam through. There's no excuse.
Unfortunately it is. You've even provided examples of a false positive and a false negative. Every discrimination process is going to have those at some rate. It might become very expensive for developers to go through higher levels of verification.
The answer is that it just takes a lot of people. What if no content could appear on Facebook until it passed a human moderation process?
As the above poster said, this is not profitable which is why they don't do it. Instead they complain about how hard it is to do programmatically and keep promising they will get it working soon.
A well functioning society would censure them. We should say that they're not allowed to operate in this broken way until they solve the problem. Fix first.
Big tech knows this which is why they are suddenly so politically active. They reap billions in profit by dumping the negative externalities onto society. They're extracting that value at a cost to all of us. The only hope they have to keep operating this way is to forestall regulation.
Move fast and break things indeed.
The more of those people you hire, the higher the chance that a bad actor will slip through and push malicious things through for a fee. If the scammer has a good enough system, they'll do this one time with one person and then move on to the next one, so now you need to verify that all your verifiers are in fact perfect in their adherence to the rules. Now you need a verification system for your verification system, which will eventually need a verification system^3 for the verification system^2, ad infinitum.
Again, the newspaper model already solves this. Moderation should be highly localized, from the communities for which they are moderating the content. That maximizes the chance that the moderator's values will align with the community. Small groups are harder to hide bad actors, especially when you can be named and shamed by people that you see every day. Managers and their coworkers and the community itself are the "verifiers."
Again, this model has worked since the beginning of time and it's 1000x better than what FB has now.
At the end of the day, I can't make an ad and put it on a billboard pretending to be JP Morgan and Chase. I just can't.
Worldwide and over history, this behaviour has been observed in elections (gerrymandering), police forces (investigating complaints against themselves), regulatory bodies (Boeing staff helping the FAA decide how airworthy Boeing planes are), academia (who decides what gets into prestigious journals), newspapers (who owns them, who funds them with advertisements, who regulates them), and broadcasts (ditto).
> At the end of the day, I can't make an ad and put it on a billboard pretending to be JP Morgan and Chase. I just can't.
JP Morgan and Chase would sue you after the fact if they didn't like it.
Unless the owners of the billboard already had a direct relationship with JP Morgan and Chase, they wouldn't have much of a way to tell in advance. If they do already have a relationship with JP Morgan and Chase, they may deny the use of the billboard for legal adverts that are critical of JP Morgan and Chase and their business interests.
The same applies to web ads, the primary difference being each ad is bid on in the first blink of an eye of the page opening in your browser, and this makes it hard to gather evidence.
A lot of people = a lot of cost. That would probably settle out lower than the old classified ads, but paying even a dollar per Facebook post would be a radically different use than the present situation.
And of course you'd end up with a ban of some sort on all smaller forums and BBS that couldn't maintain compliance requirements.
While I'd be just fine with Meta, X etc. (even YouTube, LinkedIn, and GitHub!) shutting down because the cost of following the law turned out to be too expensive, what you suggest here also has both false positives and false negatives.
False negatives: Polari (and other cants) existed to sneak past humans.
False positives: humans frequently misunderstand innocent uses of jargon as signs of malfeasance, e.g. vague memories of a screenshot from ages ago where someone accidentally opened the web browser's dev console while on Facebook, saw messages about "child elements" being "killed", freaked out.
These are the effectively the same thing. Asking a business to harm its profits is like asking a person to self-harm.
It may be unreasonable to demand that a small business tackle a global problem at the expense of its survival. But we are not talking about small or unprofitable business. We are talking about Meta, Alphabet, Apple, Amazon. Companies with more money than they know what to do with. These global companies need to funnel some % of their massive profits into tackling the global problems that their products have to some degree created.
You don't even need a human to review these ads but inserting one wouldn't be expensive.
I'm actually somewhat less critical of Apple/Google/Facebook/etc. than probably most readers would be, on the grounds that it simply isn't possible to build a "walled garden" at the scale of the entire internet. It is not possible for Big Tech to exclude scammers. The scammers collectively are firing more brain power at the problem than even Big Tech can afford to, and the game theory analysis is not entirely unlike my efforts to keep my cat off my kitchen counter... it doesn't matter how diligent I am, the 5% of the time the cat gets up there and finds a tasty morsel of shredded cheese or licks some dribble of something tasty barely large enough for me to notice but constitutes a nice snack with a taste explosion for the much-smaller cat means I'm never going to win this fight. The cat has all day. I'm doing dozens of other things.
There's no way to build a safe space that retains the current size and structure of the current internet. The scammers will always be able to overpower what the walled garden can bring to bear because they're so many of them and they have at least an order of magnitude more resources... and I'm being very conservative, I think I could safely say 2 and I wouldn't be really all that surprised if the omniscient narrator could tell us it's already over 3.
[1]: https://9to5mac.com/2025/09/25/new-study-shows-massive-spike...
[2]: To forstall any AI debate, let me underline the word "lazy" in the footnote here. Most recently we received a shirt with a very large cobra on it, and the cobra has at least three pupils in each eye (depending on how you count) and some very eye-watering geometry for the sclera between it. Quite unpleasant to look at. What we're getting down the pipeline now is from some now very out-of-date models.