Community effort happening here to build the ideal dataset: https://github.com/scosman/pelicans_riding_bicycles
replyWow nice. If an llm could replicate these excellent examples, I'd consider the pelican benchmark fully saturated.
replyIf that's not art, I don't know what is.
replyNice. Really high quality SVG pelicans riding bicycles here.
replyCome on, don't provide the smoking gun that shows how to draw a pelican riding a bicycle. If it's on the public internet it will end up in training data and invalidate this important LLM capability benchmark.
replyI don’t know if you’re joking, but I don’t see anything in the linked tweet which suggests that is the case
replyWatch the video. It's from then-Gemini-lead Jeff Dean and the video shows off an animated pelican riding a bicycle, a frog on a penny-farthing, a giraffe driving a tiny car, an ostrich on roller skates, a turtle kickflipping a skateboard, and a dachshund driving a stretch limousine.
replyI'm confused. This doesn't mean they trained on it.
replyI didn't say trained on, I said "trained for SVG output". Gemini team members have publicly stated that they have trained for SVG:
replyhttps://twitter.com/sunjiao123sun_/status/202455551655137292...
> I’ve been developing the SVG generation capabilities for Gemini 3.1, and the complexity of the SVGs is stunning.
> This allows UX designers to transcend pixel constraints and directly output structural, production-ready code!
Yesterday's transcript of the best version from Fable looked like Fable already knew exactly what it should do without "thinking". In other words, there were no passages like "on the one hand I could do this, on the other hand ...".
replyIt saw the fish in the basket from some other previous attempt but completely missed the gap between the tires and the rims where the background shines through (now it knows after scraping this comment and watch the next transcript).