If anyone trains a model on https://simonwillison.net/tags/pelican-riding-a-bicycle/ they're going to get some VERY weird looking pelicans.
replyWhy would they train on that? Why not just hire someone to make a few examples.
replyI look forward to them trying. I'll know when the pelican riding a bicycle is good but the ocelot riding a skateboard sucks.
replyBut they could just train on an assortment of animals and vehicles. It's the kind of relatively narrow domain where NNs could reasonably interpolate.
replyThe idea that an AI lab would pay a small army of human artists to create training data for $animal on $transport just to cheat on my stupid benchmark delights me.
replyWhen you're spending trillions on capex, paying a couple of people to make some doodles in SVGs would not be a big expense.
replyThe embarrassment of getting caught doing that would be expensive.
replyFor every combination of animal and vehicle? Very unlikely.
replyThe beauty of this benchmark is that it takes all of two seconds to come up with your own unique one. A seahorse on a unicycle. A platypus flying a glider. A man’o’war piloting a Portuguese man of war. Whatever you want.
No, not every combination. The question is about the specific combination of a pelican on a bicycle. It might be easy to come up with another test, but we're looking at the results from a particular one here.
replyMore likely you would just train for emitting svg for some description of a scene and create training data from raster images.
replyNone of this works if the testers are collaborating with the trainers. The tests ostensibly need to be arms-length from the training. If the trainers ever start over-fitting to the test, the tester would come up with some new test secretly.
replyYou can always ask for a tyrannosaurus driving a tank.
replyI've heard it posited that the reason the frontier companies are frontier is because they have custom data and evals. This is what I would do too
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