I don't quite understand why blog writers care to include a random AI at the top of their posts. Just give me the content, I don't want to scroll past a random elephant first.
Everyone says they that and has been before AI. What they always miss is the little word "relevant". A relevant picture can be helpful, a random picture is just distracting and annoying.
The image is there for social media shares, which grab a prominent image to put beside the link. Even if it's a bit distracting in the post, if it grabs your eye enough to click the link, then that's job done.
Links without an image are just physically smaller on Twitter or Facebook, they don't stand out as well.
I don't find it that random in a post about Postgres to show a picture of an elephant. If it had been a badger or something, then yes, but an Elephant is pretty relevant as animals go.
> hand crafting something for every post is exhausting.
Spending hours doing trial-and-error with image-generation prompts is also exhausting.
Are we at the point where authors can feed their entire article text into an image-generator and it repeatedly (95%?) produces appropriate, if not very apt, artwork?
I will say, when I have used them I haven't spent more than a few minutes on the prompts. But I'm typically more focused on the writing and the image just needs to be "good enough" unless it's something specifically relevant to the content.
"The earliest versions of the parable of blind men and elephant is found in Buddhist, Hindu and Jain texts, as they discuss the limits of perception and the importance of complete context. The parable has several Indian variations [...]"
If unsure, paste into https://huggingface.co/openai-detector and check. If the detector says 99% fake, it is very likely fake. The detector can mistake ChatGPT generated text as real (maybe because it was trained to detect GPT2), for example one text I generated scored 99.94% real. I suspect it is better to paste just a few sentences (especially for a generated blog partially modified by a human?). Although there are legitimate uses, such as people using ChatGPT to correct their grammar — https://news.ycombinator.com/item?id=33884842 . . . Also if I find GPT generated comments that are not clearly labelled, I flag and downvote.
Our ultimate goal is to surpass the current code search index. As of today, there are about 25 million repositories in the new index, but we have more work to do before we reach full scale.
