Litterally one out of a thousand posts are from the OP - I haven’t seen any change in this since you’ve been giving the large one. It must be pretty easy to analyse say every post from the top 1000 aggregators and find identical content from the emeralds post date and swap it out
@mrblackstudio@figma Yesterday I used Claude to help me work out if engraving a 4minute track as a CD quality wav file onto a stainless steel credit card was possible. Approx 40million digits - tldr not possible
@pizzaboy oh I thought you were trying to create macros to do little things that existing in Photoshop that Affinity hadn't implemented yet?
FYI I would do exactly the same thing and spend £2000 in personal billable hours instead of subscribing to a tool! It just how we are built!
My dad died last year. There should be a way to opt out of receiving fathers day email marketing. Likewise for pregnancy or suicide content etc across all platforms
I played football for a decade as a kid and never did or considered any of this. Mad that you can learn so much these days on the interwebs
https://t.co/iaCploRNLb
Martin Scorsese is an advisor to Black Forest Labs.
He's spent six decades shaping how the world sees stories. Now he's helping us shape visual intelligence with human taste and craft at the center.
We sat down with him for a working storyboarding session using FLUX.
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:
1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.
2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.
3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.
4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.
5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.
6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.
7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.
8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.
9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).
10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.