It's honest, instead of the inflated bs you usually have to spin around your half working experiments.
For another example of such honesty, see the paper “HonestNN: An Honest Neural Network ‘Accelerator’”, from the SIGBOVIK 2019 proceedings: http://sigbovik.org/2019/proceedings.pdf#page=107. I love that paper.
You should read his site, his IDGAF attitude is pretty funny. The FAQ section is the most entertaining.
Like executives that shun computers as a symbol of their power and status... having a resume that emphasizes my-little-pony suggests his dance card is full (i.e. he has his pick of top job opportunities).
his EULA does. named 'license.f*ck' included in the github
> Reviewer #2 AKA Dan Grossman (lol blinding who does that)
lmao
That's hilarious, and definitely makes me want to learn more about what the authors are talking about. What's a good place to refer to the various acronyms this paper uses, for those who aren't familiar with the field?