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by parsimo2010 81 days ago
This blog post sucks. It does not make me want to read the papers.

Look at this figure: https://storage.googleapis.com/gweb-research2023-media/image...

The speedup labels on the vertical axis are 0, 2, 2, 4, 6, 8... Why is 2 repeated? Did they just have nano-banana make them some charts? Can they not be bothered to use matplotlib or bokeh and directly render a graph? I don't know, maybe there is some legitimate reason that I don't know about for making a single value occur multiple times on a graph axes, but if that is the case, then they probably need to explain it in the figure caption. So it's either a "GenAI special" or it's poor communication about how to read the graph...

Look at this video visualization: https://storage.googleapis.com/gweb-research2023-media/media...

Do you have literally any clue what Polar Quantization is? Would this make me think, "I kind of have a high level understanding of that, let me go get the details from the paper."

Look at this figure: https://storage.googleapis.com/gweb-research2023-media/image...

The left hand side of the graph, which is normally assumed to start at 0, starts at 48. Those MASSIVE differences you see in the figure? Only a few percent. And that's a deception but only if the figure is even accurate, because we saw earlier they can't even get figure axes correct.

2 comments

Yeah, the viz for polar quantization is straight up nonsensical. Okay, so some colors are converted into clocks and then into a bigger box with a pink box inside of it. Got it. Even understanding what polar coordinates are doesn't help you make sense out of it.
It's slop. The text is also clearly generated by a chatbot with its nonsensical comparisons and bizarrely superlative language.
I bet the paper was vibe written too