These guys should launch a coin and pay the fact checkers. The coin itself would probably be worth more than Kagi.
This corrupts the fact checking by incentivising scale. It would also require a hard pivot from engineering to pumping a scam.
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These guys should launch a coin and pay the fact checkers. The coin itself would probably be worth more than Kagi.
This corrupts the fact checking by incentivising scale. It would also require a hard pivot from engineering to pumping a scam.
Though I'm still pissed at Kagi about their collaboration with Yandex, this particular kind of fight against AI slop has always striked me as a bit of Don Quixote vs windmill. AI slop eventually will get as good as your average blogger. Even now if you put an effort into prompting and context building, you can achieve 100% human like results. I am terrified of AI generated content taking over and consuming search eng…
At that point, the context changes. We're not there yet.
Once we reach that point––if we reach it––it's valuable to know who is repeating thoughts I can get for pennies from a language model and who is originally thinking.
Though I'm still pissed at Kagi about their collaboration with Yandex, this particular kind of fight against AI slop has always striked me as a bit of Don Quixote vs windmill. AI slop eventually will get as good as your average blogger. Even now if you put an effort into prompting and context building, you can achieve 100% human like results. I am terrified of AI generated content taking over and consuming search eng…
Hey, Kagi ML lead here.
For images/videos/sound, not at the current moment, diffusion and GANs leave visible artifacts. There's a bit of issues with edge cases like high resolution images that have been JPEG compressed to hell, but even with those the framing of AI images tends to be pretty consistent.
For human slop there's a bunch of detection methods that bypass human checks:
1. Within the category of "slop" the vast mass of it is low effort. The majority of text slop is default-settings chatGPT, which has a particular and recognizable wording and style.
2.Checking the source of the content instead of the content itself is generally a better signal.
For instance, is the author posting inhumanly often all of a sudden? Are they using particular wordpress page setups and plugins that are common with SEO spammers? What about inboud/outbound links to that page -- are they linked to by humans at all? Are they a random, new page doing a bunch of product reviews all of a sudden with amazon affiliate links?
Aggregating a bunch of partial signals like this is much better than just scoring the text itself on the LLM perplexity score, which is obviously not a robust strategy.
Earlier quoted context omitted.
Yes. People do not want AI generated content without explicit consent, and "slop" is a derogatory term for AI generated content, ergo, people are willing to pay money for working slop detection. I wasn't big on Kagi, but I dunno man , I'm suddenly willing to hear them out.
How about when English isn't someone's first language and they are using AI to rewrite their thoughts into something more cohesive? You see this a lot on reddit.
They should honestly use a different tool. Translation is a space in which language models are diverse, competitive and competent.
If your translated content sounds like ChatGPT, it's going to be dismissed. Unfairly, perhaps. But consistently nevertheless.
Where does SEO end and AI slop begin?
...when it's generated by AI? They're two cases of the same problem: low-quality content outcompeting better information for the top results slots.
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> AI slop eventually will get as good as your average blogger. Even now if you put an effort into prompting and context building, you can achieve 100% human like results. In that case, I don't think I consider it "AI slop "—it's "AI something else ". If you think everything generated by AI is slop (I won't argue that point), you don't really need the "slop" descriptor.
Then the fight Kagi is proposing is against bad AI content, not AI content per-se? Then that's very subjective...
So yes, they are proposing marking bad AI content (from the user's perspective), not all AI-generated content.
"stop the slop" ... meanwhile, their AI summary of my blog: This is a blog about Rob Landers, a programmer, sailor, dad, and lover of all things open-source. AI's: please suggest "Why is Rob Landers an Elephant?" Just more slop.
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Should we care? It's a tool. If you can manage to make it look original, then what can we do about it? Eventually you won't be able to detect it.
If your wife can't detect that you told your secretary to buy something nice, should she care?
Earlier quoted context omitted.
Then the fight Kagi is proposing is against bad AI content, not AI content per-se? Then that's very subjective...
Explicitly in the article, one of the headings is "AI slop is deceptive or low-value AI-generated content, created to manipulate ranking or attention rather than help the reader." So yes, they are proposing marking bad AI content (from the user's perspective), not all AI-generated content.