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268 points carabiner | 2 comments | | HN request time: 0.429s | source
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intoamplitudes ◴[] No.44007496[source]
First impressions:

1. The data in most of the plots (see the appendix) look fake. Real life data does not look that clean.

2. In May of 2022, 6 months before chatGPT put genAI in the spotlight, how does a second-year PhD student manage to convince a large materials lab firm to conduct an experiment with over 1,000 of its employees? What was the model used? It only says GANs+diffusion. Most of the technical details are just high-level general explanations of what these concepts are, nothing specific.

"Following a short pilot program, the lab began a large-scale rollout of the model in May of 2022." Anyone who has worked at a large company knows -- this just does not happen.

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pixl97 ◴[] No.44007628[source]
>The data in most of the plots (see the appendix) look fak

Could a Benford's Law analysis apply here to detect that?

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1. constantcrying ◴[] No.44007841[source]
How would you apply it, why would it be applicable?
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2. tough ◴[] No.44010826[source]
Fake data is usually too clean