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Re:Reflected Diffusion Models by lbotos on Monday May 08, 2023 @02:06PM (#35864963)
Are you a PHD level AI researcher? If not, I don't think you are the intended audience.

I'm not, so as a reader here, I'm just happy that I didn't have to pay to get exposed to new challenging ideas. A lot of other science is sadly paywalled inside of journals.

Give it a few weeks for the fast followers to dumb it down for us.

Re:Reflected Diffusion Models by toxik on Monday May 08, 2023 @02:13PM (#35865059)
I am, yes. Most of our field’s research is publicly available on arxiv by the way.
Re:Reflected Diffusion Models by yorwba on Monday May 08, 2023 @02:43PM (#35865443)
Indeed, the paper associated with the blog post is also on arXiv. But how does that relate to your complaint?
Re:Reflected Diffusion Models by mrtranscendence on Monday May 08, 2023 @03:06PM (#35865738)
toxik was responding to the apparent position that it's OK for the material to be presented in a confusing way, because the research has been provided freely rather than locked behind a paywall. It's apropos to point out that this isn't a great excuse.
Re:Reflected Diffusion Models by tmabraham on Tuesday May 09, 2023 @02:58AM (#35871026)
Okay, but are you a diffusion model/generative AI researcher?

As a researcher in this field, I found the article fairly understandable and accessible. I suspect that was the target audience.

The domain of diffusion models have a lot of terminology and concepts that are not explained here, so maybe that's why it's harder to understand?