Re:ChatGPT Search
by jsheard on Thursday October 31, 2024 @01:28PM
(#42009100)
Given how many of those SEO spam sites are themselves generated by ChatGPT now, OpenAI can simply back-reference their own logs to find out which sites are probably SEO spam while everyone else is left guessing. That's vertical integration!
[ Parent
| on HN ]
If they do that , That's a genius idea.
So it'll turn to yet another arms race - similar to captcha, cybersecurity and nuclear weapons. SEO will use AI to fill in fluff inside AI-generated content (which is already done).
It won't directly match ChatGPT logs and OpenAI would just be pouring precious compute to a bottomless pit trying to partial-match.
Serve Claude-generated version to OpenAI bots. Serve OpenAI-generated version to Claude bots. Problem solved.
Serve users a random version and A/B test along the way.
Then you are still left with self hosted models which are pretty good at this task.
Or offer two search results when they suspect one is spam and see which one a user likes and train off of that, just the way they do now with ChatGPT.
Re:ChatGPT Search
by DSingularity on Thursday October 31, 2024 @01:38PM
(#42009236)
I’m sure they will be more subtle than that otherwise it will get circumvented.
I’m sure they will/are tackling this at the model level. Train them to both generate good completions while also embedding text with good performance at separating generated and human text.
Re:ChatGPT Search
by sebzim4500 on Thursday October 31, 2024 @01:51PM
(#42009440)
Would someone even want to circumvent it though? Most sites won't care very much about encouraging scrapers to include them in LLM training data, it's not like you get paid.
Re:ChatGPT Search
by DSingularity on Friday November 01, 2024 @03:04AM
(#42014656)
If your website is created to promote a product of course you are incentivized to be included.
Re:ChatGPT Search
by LegionMammal978 on Friday November 01, 2024 @09:47AM
(#42016892)
Personally, I'm a pessimist on this front. People assert that a model-in-training can effortlessly sift out the real data from mountains of LLM spam. But then people also assert that AI detectors do not work and can never work, since LLM output is simply too good, and any watermarking can be broken up by a light paraphrasing step. It doesn't make much sense to have it both ways.
I can only await companies' attempts to publish enough junk to create an 'alternative truth' for new LLMs to believe in. The worst part is, it might even work.