

Not just jobs, but:
- Scammers that make convincing fakes
- Knock-offs that get your views before you realize that it’s hollow slop instead of what you were expecting for
- Flooding the field of creative content with hollow stuff devoid of actual creative intent, mistaking verbosity and detail for quality creative content.
- Exploiting small communities that either let big tech walk over them in general, or they just have to bribe a few city managers at pretty modest prices.
I suppose the scammers are about the only arguably common downside between the AI boom and the dot-com boom, but it was at the time less compelling because it was such an ‘alien’ medium that people weren’t trusted, whereas AI is corrupting a familiar medium with even more scam than people are used to.





The thing is, that broadly these sorts of hiccups happen all the time, but every time one of them escalates to ‘meme’ status, they can institute covering for it in pretty short order.
When you use them routinely, you see them do the hiccups regularly on random things you weren’t expecting, but if one of those hiccups goes viral, then it stops working.
I managed to get in barely in time to see the seahorse emoji before the meme became self-defeating.
The viral instances only work very briefly to illustrate a behavior, as very well known specific examples will get covered. In your case, at one point suddenly all the LLMs were really good at knowing the letters in strawberry, but you ask about other words they would fall over because they only had that specific thing there. By now, I suspect most have implemented a scheme to ensure a more appropriate mechanism handles counting letters in a word, to spare the embarassment.