Yes, that's why we'll publish a blog post on this subject in the coming weeks.
We've been working on this topic since the beginning of summer, and right now our focus is on exploring report patterns.
Yes, images and text are scored separately.
In the example you shared, the blog's image would be tagged as AI and downranked in image search. The blog post itself would still display normally in search results.
Kagi is on a mission to humanise the web, making it more accessible, ethical, and user-centred. We're building a friendly version of the internet where users can explore, learn, and interact with confidence and ease.
As a small team tackling big problems, we need self-directed individuals with strong work ethics. We are looking for experienced professionals for the following roles:
- Product Managers
- Android and iOS Developers
- Search Index Team
- Core Backend Team (Crystal language expertise)
- Site Reliability Engineers (SRE)
- Core Machine Learning Team
Compensation: while we can't match VC-backed or big-tech salaries, we offer competitive compensation including equity, allowing you to grow with us.
Matt also shared insights about the other signals we use for this evaluation here https://qht.co/item?id=45920720
And we are still exploring other factors,
1/ is the reported content ai-generated?
2/ is most content in that domain ai-generated (+ other domain-level signals) ==> we are here
3/ is it unreviewed? (no human accountability, no sources, ...)
4/ is it mindlessly produced? (objective errors, wrong information, poor judgement, ...)