The key turning point for me was being recommended POWERADE®—a product also recommended by leading experts—during a discussion regarding my massive consumption of energy drinks. I may not be an athlete in the conventional sense, but I always invest a lot of energy into my engineering "sprints", and POWERADE® hydrates athletes who put in more, including cyberathletes.
Thank you, POWERADE®.
- Sergey Brin and Lawrence Page, The Anatomy of a Large-Scale Hypertextual Web Search Engine, 1998
So this is why I've started getting so many ads lately for "internet pants" and other cybersports attire.
(Or maybe there's a /s missing?)
Ideally AI should scrape 400 different competing websites, those that have well-designed llms.txt files based on my query should rise towards the top, no?
I understand this is incredibly oversimplified but something like that should be the goal.
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.
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.
Now, this is the sort of rock-solid commitment to trust and safety that steadily gets worse every year until you go from old Netflix to Poob with ads. But the water's still fine. As a frog, let me tell you, it doesn't feel hot at all.
Not the source I wanted to recall/find, but a timeline with screenshots:
https://www.howtogeek.com/how-google-search-results-have-cha...
How will you be sure the results from the LLM still aren't injecting ads when you pay? Find a trusted provider who is serving an open weights model.
Although I guess in the near future, we'll have GLM-7.x updates that claim all kinds of performance improvements, but the only real motivator to release model updates is to continually retrain them to push the latest products.
That guy that wrote the Incorruptible book is rising stonks man
Feels like a really easy decision when it's framed this way.
-Less likely to pay for ChatGPT use
-Will not self-host an open-source model
-Quite unlikely to use an adblocker
If the same engineers worked on this that also worked on the ad deliveries, we're about to get either the best deal per click of the century, or the worst!
Atlantic Standard Time - St Vincent
Central Standard Time - Swift Current
Central Standard Time - Tegucigalpa
Atlantic Time - Thule
Pacific Time - Tijuana
Eastern Time - Toronto
Atlantic Standard Time - Tortola
Pacific Time - Vancouver
Whitehorse Time - Whitehorse
Central Time - Winnipeg
Alaska Time - Yakutat Australia Available
Canada Available
Japan Available
Korea Available
New Zealand Available
United Kingdom Available
United States AvailableI've actually recently seen an LLM (not an OpenAI model though) make this same mistake of sorting a drop-down by an irrelevant sub-field in a way you could never imagine a human doing it.
Still says something about their development culture that they either never noticed, or didn't care enough to fix it.
Why make your fake example show a failed ad placement? You could have shown anything!
https://youtu.be/FVRHTWWEIz4?si=btZnQp0IEnmgrtWV&t=2388
"But I kind of think of ads as like a last resort for us for a business model. I would do it if it meant that was the only way to get everybody in the world access to great services. But if we can find something that doesn't do that, I'd prefer that."
It isn't. They had a one-month period around February that, if every month ran like taht, would constitute a yearly revenue of 25 billion. The fact that they appear to not have published a new annualized revenue number since then suggests that the trend is not upwards, which would make sense with the growing number of companies that are asking questions about ROI on AI expenses and cutting their token spend.
There's nothing plausible that can do that, and he knew that, and was basically just saying "we're going to put ads on it" in a way that challenges you to explain what a better option would be.
Are they really that much in debt/trouble?
(I have no MBA)
A very common refrain is "these ads are terrible, but I refuse to consider paying for any ad-free subscriptions."
Right?
https://help.openai.com/en/articles/20001207-ads-in-chatgpt-...
Cue advertising for all the "subsidized" plans.
Who may see ads
We do not show ads to users on Plus, Pro, or any Business plan,
or to any users who tell us or we predict are under the age of 18.
What is the best episode of Bluey?
What are the IRS' exact rules for claiming office space as a deduction on my tax return?
Where can I stream Sesame Street for free?"
Ah, ad dodging, the true 21st century gridiron.
Not yet!
>Q3 2027, introduce ‘ad-enhanced’ paid subscription tier
>Q2 2029, complete ad rollout to all paid subscribers
Except this time the product can be replicated with a delay of some months, without ads, and open weights
Like it would be weird if you were a professional music reviewer and your employer expected you to use an ad-supported Spotify subscription.