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Comment by jasonjmcghee

9 hours ago

What's crazy is you've influenced them to spend real effort ensuring their model is good at generating animated svgs of animals operating vehicles.

The most absurd benchmaxxing.

https://x.com/jeffdean/status/2024525132266688757?s=46&t=ZjF...

I like how they also did a frog on a penny-farthing and a giraffe driving a tiny car and an ostrich on roller skates and a turtle kickflipping a skateboard and a dachshund driving a stretch limousine.

Animated SVG is huge. People in different professions are worrying to different degrees in terms of being replaced by ML, but this one is huge with regards to digital art.

  • yeah, complex SVG's are so much more bandwidth, computation and energy efficient than raster images - up to a point! but in general use we are not at that point and there's so much more we can do with it

    I've been meaning to let coding agents take a stab at using the lottie library https://github.com/airbnb/lottie-web to supercharge the user experience without needing to make it a full time job

So let's put things we're interested in in the benchmarks.

I'm not against pelicans!

  • I think the reason the pelican example is great is because it's bizarre enough that it's unlikely that to appear in the training as one unified picture.

    If we picked something more common, like say, a hot dog with toppings, then the training contamination is much harder to control.

    • I think it's now part of their training though, thanks to Simon constantly testing every new model against it, and sharing his results publicly.

      There's a specific term for this in education and applied linguistics: the washback effect.

    • It's the most common SVG test, it's the equivalent of Will Smith eating spaghettis, so obviously they benchmax toward it

You don't have to benchmax everything, just the benchmarks in the right social circles

It if funny to think that Jeff Dean personally worked to optimize the pelican riding a bike benchmark.