It might not have seen that specific combination, but finding an anthropomorphized radish sure is easier than I thought: type "大根アニメ" in your search engine and you'll find plenty of results

Image search “大根 擬人化” do return similar results to the AI-generated pictures, e.g. 3rd from top[0] in my environment, but sparse. “大根アニメ” in text search actually gives me results about an old hobbyist anime production group[1], some TV anime[2] with the word in title...hmm

Then I found these[3][4] in Videos tab. Apparently there’s a 10-20 year old manga/merch/anime franchise of walking and talking daikon radish characters.

So the daikon part is already figured in the dataset. The AI picked up the prior art and combined it with the dog part, which is still tremendous but maybe not “figuring out the daikon walking part on its own” tremendous.

(btw anyone knows how best to refer to anime art style in Japanese? It’s a bit of mystery to me)

0: https://images.app.goo.gl/LPwveUJPWHr6oK8Y8

1: https://ja.wikipedia.org/wiki/DAICON_FILM

2: https://ja.wikipedia.org/wiki/%E7%B7%B4%E9%A6%AC%E5%A4%A7%E6...

3: https://youtube.com/watch?v=J1vvut5DvSY

4: https://youtu.be/1Gzu2lJuVDQ?t=42

> anyone knows how best to refer to anime art style in Japanese?

The term mangachikku (漫画チック, マンガチック, "manga-tic") is sometimes used to refer to the art style typical of manga and anime; it can also refer to exaggerated, caricatured depictions in general. Perhaps anime fū irasuto (アニメ風イラスト, anime-style illustration), while a less colorful expression, would be closer to what you're looking for.

At least for certain types of art, sites such as pixiv and danbooru are useful for training ML models: all the images on them are tagged and classified already.

If you type in different plants and animals into GIS, you don’t even get the right species half the time. If GPT-3 has solved this problem, that would be substantially more impressive than drawing the images.

What is GIS? I only know Geographical Information System.

probably Google Image Search