Comment by throwup238
8 days ago
For every combination of animal and vehicle? Very unlikely.
The 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.
More likely you would just train for emitting svg for some description of a scene and create training data from raster images.
None 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.
You can easily make a RLAIF loop.
- Take a list of n animals * m vehicule
- Ask a LLM to generate SVG for this n*m options
- Generate png from the svg
- Ask a Model with vision to grade the result
- Change your weight accordingly
No need to human to draw the dataset, no need of human to evaluate.