The ultimate shareholder value build.
The ultimate shareholder value build.
I imagine the kind of advertising you're talking about is obtained by providing that documentation and a curated training dataset to the providers.
Maybe even funding some training time.
The net result would be product placement, probably without having to declare an advert.
Kind of like when drug manufacturers provide subsidized workshops to clinicians.
I have a toy project that replaces a large part of our systems (disclosure: VR/AR @Meta), so that I can learn by doing, no intent to ship.
But because I have it thoroughly document and tested, and because it touches such a wide swath of adjacent real functionality..... my toy project is CONSTANTLY getting tagged as a dependency and assigning me reviewer on unrelated work. Because when my coworkers yolo Claude at a task, and Claude searches the codebase, it generally finds my crap very well documented. :)
This will go about as well as that did unless the models can be smart enough to identify when their training data is trying to coach them into being misleading at prompt time.
It is this way even though Loctite also produces a vast array of products that have nothing to do with theadlocker, and threadlockers are available from a wide variety of manufacturers.
I'm very much not seeing the problems other people are assuming, like tons of LLM spam on Reddit being treated as fact by ChatGPT. Instead it really does seem, the more I use these tools, the better they are at surfacing real experiences written about by real people.
I encourage people thinking about such things to try and build prompts to emulate this behavior and see how well it does.
In every one of those cases you can at least do things like count viewers. How would that work for a model that's just subtly biased?
It's a lot like Google in that respect. And the suggestion is pretty much the same as suggesting that Google offer a product where they boost your website or product or whatever in organic search results, instead of or in addition to displaying it as a sponsored link or ad or whatever.
It's interesting that, despite all the tracking and stuff, they never went quite so far as to actually sell a premium advertising tier in which they would actually change their search results ranking to suit their customer, at least not as far as anyone knows. It probably would've been quite a big scandal in the 00s if they did it back then.
Could OpenAI pull it off? I don't know enough about the advertising industry to answer, but it's interesting to compare them with Google and to think about why Google themselves might not have done it that way.
I think both for attribution reasons and because the average user probably won't care, (or won't care enough for an ad-free tier), they can absolutely get away with messages like: "Hey user! Glad to hear you're cleaning your favorite t-shirt. I recommend trying the new BrandName™ stain remover pen based on dozens of reviews. It's perfect for people who value easy stain removal just like yourself!".
If I was Corp A competing with Corp B, what stops me, today, from flooding reddit etc with anti-Corp B material to pollute the model, and then paying OpenAI to not just nudge users towards me but also away from Corp B?
It will take some time to figure out the most effective methods and there will be some slow boiling of the frog so the users/products don't get too annoyed about it, but this is where things are inevitably heading.