That would be a phenomenal ROI. In almost all advertising contexts the hit rate is far, far lower. Resulting in everyone drowning in ads to hit the few targets.
To the commenters saying, "but how will people/companies know what to buy?"...
1) Through the same high-quality information channels you usually use today: customer reviews, word of mouth, point of sale, and lived experience. For B2B, you could still have industry events or demos where it is essentially a physical opt-in for advertising.
2) I could not possibly care. The offsetting benefit of living in a world where I am not surrounded by messages trying to deceive me into spending money is well worth losing whatever tiny signal might be in that noise.
All those devs and data scientists and PhDs make a choice though. They could quit and work somewhere else. Even in a tough market their skills are in demand. They choose to work on this every morning.
I believe it is the other way around: the LLM decides the type of action and the input to the action; the code validates the permission to act and the acceptability of the input. But, yes it is very different than SQL injection in that way.
They routinely override the user-defined navigation to include whatever new content they are pushing. It was sold as an appliance without ads or subscription. Now it has become an ads platform that the user has less and less control over.
Lol. Dude, sure the Swiss can vote however they want. But we all see you and can pass judgement on this thinly veiled anti-immigrant nonsense all day long. Respect it I will never.
Looking at WHO is pushing for change tells you most of what you need to know. Teachers? No. Students? No. Parents? Usually not. Technologists with something to sell? Bingo.
> says Duke University ecologist Stuart Pimm, who was not involved in the research. “We could better help millions of birds every year by solving the more immediate threats of disappearing habitats, collisions with building windows, and prowling outdoor cats,”
Yes. Even if they stuck it at the end, it shows good journalism to call this out.
So to make this profitable they need ads revenue from it, right? Imagine for a moment the ways AI can manipulate responses and conversations for marketers, because I guarantee the marketers have already thought about it.
So much this. I know their point is to show what these models can do, but it just one more example of people shoehorning LLMs in, instead of finding the right tool for the job or caring about performance. They could have even layered AI on top of a recommender.